IDEAS home Printed from https://ideas.repec.org/f/c/pwa1228.html

Haikun Wang

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Bu, R. & Li, D. & Linton, O. & Wang, H., 2022. "Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data," Cambridge Working Papers in Economics 2218, Faculty of Economics, University of Cambridge.

    Cited by:

    1. Qiang Liu & Yiming Liu & Zhi Liu & Wang Zhou, 2025. "Spectral analysis of high-dimensional spot volatility matrix with applications," Papers 2511.02660, arXiv.org, revised Mar 2026.

  2. Jin, Shaosheng & Guo, Haiyue & Delgado, Michael & Wang, H., 2015. "Benefit or Damage? The Productivity Effects of FDI in Chinese Food Industry," 2015 Conference, August 9-14, 2015, Milan, Italy 211813, International Association of Agricultural Economists.

    Cited by:

    1. Xie, Xuan & Lin, Boqiang, 2019. "Understanding the energy intensity change in China's food industry: A comprehensive decomposition method," Energy Policy, Elsevier, vol. 129(C), pages 53-68.
    2. Tu, Bingqian & Chen, Ze & Dang, Jingqi, 2025. "The impact of foreign direct investment on innovation in China's forest products industry," Forest Policy and Economics, Elsevier, vol. 170(C).
    3. Zhang, Yan & Chen, Chen & Ma, Baojie & Jin, Shaosheng, 2024. "Trade effects of transnational timber legality assurance regimes: Evidence from the lacey act amendment on China’s forest product exports," Forest Policy and Economics, Elsevier, vol. 158(C).
    4. Lin, Benxi & Du, Ruiying & Dong, Zekuan & Jin, Shaosheng & Liu, Weipin, 2020. "The impact of foreign direct investment on the productivity of the Chinese forest products industry," Forest Policy and Economics, Elsevier, vol. 111(C).
    5. Wira Ganet Aribowo, 2018. "Analysis of foreign direct investment as a comparison of macroeconomic factors in seven countries Asean 5, China and Japan during period 1996-2015," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 7(4), pages 29-42, December.
    6. Yue Jin & Chen Chen & Zhanyi Shi, 2021. "Spillover Effect of FDI on Food Exports: Based on Firm-Level Analysis in China," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    7. Zhang, Ming & Du, Panpan & Tu, Xianjin, 2023. "The role of intangible assets in promoting the sustainability of agri-food enterprises: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 928-939.
    8. Shaosheng Jin & Baojie Ma & Yuqing Zheng & Xin Jin & Wenchao Wu, 2024. "Short‐term impact of food safety standards on agri‐product exports: Evidence from Japan's positive list system on Chinese vegetable exports," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 362-381, February.
    9. Qamruzzaman, Md, 2022. "Nexus between renewable energy, foreign direct investment, and agro-productivity: The mediating role of carbon emission," Renewable Energy, Elsevier, vol. 184(C), pages 526-540.
    10. Omar Abu Risha & Qingshi Wang & Mohammed Ismail Alhussam, 2023. "Impact of Foreign Enterprises’ Capital Inflow on Urbanization Factors: Evidence from Northeastern Cities of China," Sustainability, MDPI, vol. 15(21), pages 1-24, November.
    11. Jin, S. & Guo, H. & Wang, H.H. & Delgado, M.S., 2018. "Going global : determinants of Chinese outward foreign direct investment in the agri-food industry," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277186, International Association of Agricultural Economists.
    12. Wu, Bin & Cao, Cong & Mosey, Simon & Daniell, Tim & Noy, Peter & Cui, Yizhe & Rose, Min & Snape, Jonathan, 2025. "How does global agricultural research and innovation cooperation influence agricultural R&I system transformation in the South? Evidence from UK-China cooperation," Food Policy, Elsevier, vol. 131(C).

  3. S. Hamad'ene & H. Wang, 2008. "BSDEs with two RCLL Reflecting Obstacles driven by a Brownian Motion and Poisson Measure and related Mixed Zero-Sum Games," Papers 0803.1815, arXiv.org.

    Cited by:

    1. Monia Karouf, 2019. "Reflected and Doubly Reflected Backward Stochastic Differential Equations with Time-Delayed Generators," Journal of Theoretical Probability, Springer, vol. 32(1), pages 216-248, March.
    2. Yuri Kifer, 2012. "Dynkin Games and Israeli Options," Papers 1209.1791, arXiv.org.
    3. Eddahbi, M’hamed & Fakhouri, Imade & Ouknine, Youssef, 2020. "Reflected BSDEs with jumps in time-dependent convex càdlàg domains," Stochastic Processes and their Applications, Elsevier, vol. 130(11), pages 6515-6555.
    4. Klimsiak, Tomasz, 2015. "Reflected BSDEs on filtered probability spaces," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4204-4241.
    5. Klimsiak, Tomasz & Rzymowski, Maurycy, 2026. "Mokobodzki’s intervals: An approach to Dynkin games when value process is not a semimartingale," Stochastic Processes and their Applications, Elsevier, vol. 191(C).
    6. Fan, Xiliang & Ren, Yong & Zhu, Dongjin, 2010. "A note on the doubly reflected backward stochastic differential equations driven by a Lévy process," Statistics & Probability Letters, Elsevier, vol. 80(7-8), pages 690-696, April.
    7. Klimsiak, Tomasz, 2021. "Non-semimartingale solutions of reflected BSDEs and applications to Dynkin games," Stochastic Processes and their Applications, Elsevier, vol. 134(C), pages 208-239.

  4. Recker, Will W & Duan, J. & Wang, H., 2008. "Development of an estimation procedure for an activity-based travel demand model," University of California Transportation Center, Working Papers qt0rz778v6, University of California Transportation Center.

    Cited by:

    1. Zhang, Tong & Li, Dawei & Song, Yuchen & Zhang, Junyi & Yang, Junyan & Shi, Yi, 2025. "Activity capacity-based urban shrinkage trend prediction model and response strategy comparison approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
    2. Patrick Manser & Tom Haering & Tim Hillel & Janody Pougala & Rico Krueger & Michel Bierlaire, 2024. "Estimating flexibility preferences to resolve temporal scheduling conflicts in activity-based modelling," Transportation, Springer, vol. 51(2), pages 501-528, April.
    3. Xu, Zhiheng & Kang, Jee Eun & Chen, Roger, 2018. "A random utility based estimation framework for the household activity pattern problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PB), pages 321-337.
    4. Yashar Khayati & Jee Eun Kang & Mark Karwan & Chase Murray, 2021. "Household Activity Pattern Problem with Autonomous Vehicles," Networks and Spatial Economics, Springer, vol. 21(3), pages 609-637, September.
    5. Jee Eun Kang & Will Recker, 2015. "Strategic Hydrogen Refueling Station Locations with Scheduling and Routing Considerations of Individual Vehicles," Transportation Science, INFORMS, vol. 49(4), pages 767-783, November.
    6. Kang, Jee Eun & Chow, Joseph Y.J. & Recker, Will W., 2013. "On activity-based network design problems," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 398-418.
    7. Chow, Joseph Y.J. & Recker, Will W., 2012. "Inverse optimization with endogenous arrival time constraints to calibrate the household activity pattern problem," Transportation Research Part B: Methodological, Elsevier, vol. 46(3), pages 463-479.
    8. Gan, Li Ping & Recker, Will, 2008. "A mathematical programming formulation of the household activity rescheduling problem," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 571-606, July.
    9. Abdul Rawoof Pinjari & Chandra R. Bhat, 2011. "Activity-based Travel Demand Analysis," Chapters, in: André de Palma & Robin Lindsey & Emile Quinet & Roger Vickerman (ed.), A Handbook of Transport Economics, chapter 10, Edward Elgar Publishing.
    10. Oskar Blom Västberg & Anders Karlström & Daniel Jonsson & Marcus Sundberg, 2020. "A Dynamic Discrete Choice Activity-Based Travel Demand Model," Transportation Science, INFORMS, vol. 54(1), pages 21-41, January.
    11. Blom Västberg, Oskar & Karlström, Anders & Jonsson, Daniel & Sundberg, Marcus, 2016. "Including time in a travel demand model using dynamic discrete choice," MPRA Paper 75336, University Library of Munich, Germany, revised 11 Nov 2016.

  5. Marie Chavent & Yuan Ding & L. Fu & Hervé Stolowy & H. Wang, 2006. "Disclosure and Determinants Studies: An Extension Using the Divisive Clustering Method (DIV)," Post-Print hal-00200812, HAL.

    Cited by:

    1. Gerry Gallery & Emerson Cooper & John Sweeting, 2008. "Corporate Disclosure Quality: Lessons from Australian Companies on the Impact of Adopting International Financial Reporting Standards," Australian Accounting Review, CPA Australia, vol. 18(3), pages 257-273, September.
    2. Evers, Maria Theresia & Finke, Katharina & Matenaer, Sebastian & Meier, Ina & Zinn, Benedikt, 2014. "Evidence on book-tax differences and disclosure quality based on the notes to the financial statements," ZEW Discussion Papers 14-047, ZEW - Leibniz Centre for European Economic Research.
    3. Giovanni Garegnani & Emilia Merlotti & Angeloantonio Russo, 2015. "Scoring Firms’ Codes of Ethics: An Explorative Study of Quality Drivers," Journal of Business Ethics, Springer, vol. 126(4), pages 541-557, February.
    4. Hassanein, Ahmed, 2022. "Risk reporting and stock return in the UK: Does market competition Matter?," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    5. Khandelwal, Chandni & Kumar, Satish & Madhavan, Vinodh & Pandey, Nitesh, 2020. "Do board characteristics impact corporate risk disclosures? The Indian experience," Journal of Business Research, Elsevier, vol. 121(C), pages 103-111.
    6. Chavent, Marie & Lechevallier, Yves & Briant, Olivier, 2007. "DIVCLUS-T: A monothetic divisive hierarchical clustering method," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 687-701, October.
    7. Samar El Sayad & Ahmed Diab, 2022. "Bank Employee Perceptions of Corporate Social Responsibility Practices: Evidence from Egypt," Sustainability, MDPI, vol. 14(3), pages 1-32, February.
    8. Marco Allegrini & Giulio Greco, 2013. "Corporate boards, audit committees and voluntary disclosure: evidence from Italian Listed Companies," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 17(1), pages 187-216, February.
    9. Faisal S. Alanezi & Mishari M. Alfraih & Saad S. Alshammari, 2016. "Operating Segments (IFRS 8)-Required Disclosure and the Specific-Characteristics of Kuwaiti Listed Companies," International Business Research, Canadian Center of Science and Education, vol. 9(1), pages 136-153, January.
    10. Dainelli, Francesco & Bini, Laura & Giunta, Francesco, 2013. "Signaling strategies in annual reports: Evidence from the disclosure of performance indicators," Advances in accounting, Elsevier, vol. 29(2), pages 267-277.
    11. Vera Lucia M. Cunha & M. Dinis Mendes, 2017. "Financial Determinants of Corporate Governance Disclosure: Portuguese Evidence," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 3(1), pages 21-36, January.
    12. Adina Popa, 2008. "Trends in non-financial reporting," Analele Universitatii "Eftimie Murgu" Resita Fascicola de Inginerie, "Eftimie Murgu" University of Resita, vol. 1(XV), pages 353-360, December.
    13. Sophie Audousset-Coulier, 2008. "Les déterminants de la publication volontaire des honoraires d'audit par les sociétés cotées françaises en 2002 et 2003," Post-Print halshs-00522305, HAL.
    14. Lorenzo Neri & Antonella Russo, 2013. "Risk Disclosures in the Annual Reports of Italian Listed Companies," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2013(3-4), pages 141-168.
    15. C. Baccouche & Olfa Errais & Karima Mzoughi, 2010. "Les déterminants de la publication volontaire d'informations sociales : cas des entreprises tunisiennes," Post-Print halshs-00526423, HAL.
    16. Lee, E.Jin & Tahmoush, Dave, 2025. "Auditors’ decision-making aid for going concern audit opinions through machine learning analysis," International Journal of Accounting Information Systems, Elsevier, vol. 56(C).
    17. Alberto Quagli & Elisa Roncagliolo & Gabriele D’Alauro, 2021. "The preparedness to adopt new accounting standards: a study of European companies on the pre-adoption phase of IFRS 15," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 18(3), pages 290-303, September.
    18. Elshandidy, Tamer & Shrives, Philip J., 2016. "Environmental Incentives for and Usefulness of Textual Risk Reporting: Evidence from Germany," The International Journal of Accounting, Elsevier, vol. 51(4), pages 464-486.
    19. Eric Demolli & Dominique Dufour, 2007. "Divulgation Financiere Et Transition Aux Ias-Ifrs Contenu Et Determinants," Post-Print halshs-00544922, HAL.
    20. Greco, Giulio, 2012. "Governance codes and types of issuer. An empirical research on a global sample," MPRA Paper 37854, University Library of Munich, Germany.
    21. Bojan Đorđević & Mira Đorđević & Dragiša Stanujkić, 2012. "Investor Relations On The Internet: Analysis Of Companies On The Serbian Stock Market," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(193), pages 113-136, April- Ju.
    22. Giulio Greco & Silvia Ferramosca & Luciano Marchi, 2015. "Governance codes and types of issuer: a global study," International Journal of Business Governance and Ethics, Inderscience Enterprises Ltd, vol. 10(1), pages 28-56.
    23. Dumitru MatiÅŸ & Maria Ionela Damian & Carmen Giorgiana Bonaci, 2013. "Fair Value Measurement Disclosures: Particularities In The Context Of Listed Companies And European Funding," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(15), pages 1-3.
    24. Rute Gonçalves & Patrícia Lopes, 2014. "Accounting in Agriculture: Disclosure practices of listed firms," FEP Working Papers 530, Universidade do Porto, Faculdade de Economia do Porto.
    25. Julia Krause & Thorsten Sellhorn & Kamran Ahmed, 2017. "Extreme Uncertainty and Forward-looking Disclosure Properties," Abacus, Accounting Foundation, University of Sydney, vol. 53(2), pages 240-272, June.
    26. Ben Ali Chiraz, 2009. "Disclosure and minority expropriation: A study of French listed firms," Post-Print halshs-00460161, HAL.
    27. Corinne Bessieux-Ollier & Marie Chavent & Vanessa Kuentz & Elisabeth Walliser, 2012. "The mandatory adoption of IFRS on intangibles: upheaval or inertia? The case of France," International Journal of Accounting, Auditing and Performance Evaluation, Inderscience Enterprises Ltd, vol. 8(1), pages 91-113.
    28. Malafronte, Irma & Porzio, Claudio & Starita, Maria Grazia, 2016. "The nature and determinants of disclosure practices in the insurance industry: Evidence from European insurers," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 367-382.
    29. Elshandidy, Tamer & Fraser, Ian & Hussainey, Khaled, 2013. "Aggregated, voluntary, and mandatory risk disclosure incentives: Evidence from UK FTSE all-share companies," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 320-333.
    30. Ioraver N. Tsegba & Joy Semberfan & Gabriel M. Tyokoso, 2017. "Firm Characteristics and Compliance with International Financial Reporting Standards (IFRS) by Listed Financial Services Companies in Nigeria," Applied Finance and Accounting, Redfame publishing, vol. 3(1), pages 83-93, February.
    31. Pietro Pavone, 2018. "Accounting Frauds And Evaluative Discretion Areas: Anomalies In The Adoption Of The Ias 36," Eurasian Journal of Social Sciences, Eurasian Publications, vol. 6(2), pages 37-45.
    32. Jide Ibikunle & Victor Chiedu Oba & Christopher Nwufo, 2013. "Determinants of Intellectual Capital Disclosures in Nigeria," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 9(6), pages 195-206, December.
    33. Rodica Gabriela BLIDISEL, 2012. "ITC implementation in Romanian local public entities," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 629-636, May.
    34. Amal Yamani & Khaled Hussainey, 2021. "Compliance with IFRS 7 by financial institutions: evidence from GCC," International Journal of Disclosure and Governance, Palgrave Macmillan, vol. 18(1), pages 42-57, March.
    35. Shivaani, M.V. & Agarwal, Nishant, 2020. "Does competitive position of a firm affect the quality of risk disclosure?," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    36. Nicola Giuseppe Castellano & Katia Corsi & Roberto Del Gobbo, 2015. "Goodwill Disclosure in Europe. Profiles of disclosing companies," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 1(2), pages 32-65.
    37. Elshandidy, Tamer & Fraser, Ian & Hussainey, Khaled, 2015. "What drives mandatory and voluntary risk reporting variations across Germany, UK and US?," The British Accounting Review, Elsevier, vol. 47(4), pages 376-394.
    38. Markéta Boučková, 2016. "Quality of Disclosed Information with Emphasis on Goodwill Impairment," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2016(2), pages 37-52.
    39. Corinne Bessieux-Ollier & Marie Chavent & Vanessa Kuentz & Élisabeth Walliser, 2010. "L'adoption en France des normes IFRS relatives aux incorporels : bouleversement des pratiques ou inertie ?," Post-Print halshs-00526410, HAL.
    40. Voeller, Dennis & Voeller, Juliane, 2024. "Strategic use of provisions: Evidence from European multinationals," International Review of Financial Analysis, Elsevier, vol. 96(PB).
    41. Rodica Gabriela BLIDISEL, 2012. "Financial performance and e-governance indicators in local public administration," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 470-474, May.
    42. Adina POPA & Rodica BLIDIEL & Victoria BOGDAN, 2009. "Transparency and disclosure between theory and practice. A case study of Romania," Proceedings of FIKUSZ '09, in: László Áron Kóczy (ed.),Proceedings of FIKUSZ '09, pages 173-183, Óbuda University, Keleti Faculty of Business and Management.
    43. Marc de Bourmont, 2012. "La résolution d'un problème de multicolinéarité au sein des études portant sur les déterminants d'une publication volontaire d'informations : proposition d'un algorithme de décision simplifié basé sur les indicateurs de Belsley, Kuh et Welsch (1980)," Post-Print hal-00691156, HAL.

  6. Feenstra, D.W. & Wang, H., 2000. "Economic and accounting rates of return," Research Report 00E42, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

    Cited by:

    1. Magni, Carlo Alberto, 2009. "Splitting up value: A critical review of residual income theories," European Journal of Operational Research, Elsevier, vol. 198(1), pages 1-22, October.
    2. Magni, Carlo Alberto, 2016. "Capital depreciation and the underdetermination of rate of return: A unifying perspective," Journal of Mathematical Economics, Elsevier, vol. 67(C), pages 54-79.
    3. Rojo-Ramírez Alfonso A., 2014. "Privately Held Company Valuation and Cost of Capital," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 9(1), pages 1-21, January.
    4. David S. Evans & Richard Schmalensee, 2013. "The Antitrust Analysis of Multi-Sided Platform Businesses," NBER Working Papers 18783, National Bureau of Economic Research, Inc.
    5. Carlo Alberto Magni, 2021. "Economic profitability and (non)additivity of residual income," Annals of Finance, Springer, vol. 17(4), pages 471-499, December.
    6. Carlo Alberto Magni, 2009. "Accounting and economic measures:An integrated theory of capital budgeting," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0019, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    7. Rodrigo M. Zeidan & Marcelo Resende, 2006. "Accounting and Economic Rates of Return: a Dynamic Econometric Investigation," Economics Working Papers ECO2006/7, European University Institute.
    8. Carlo Alberto Magni & Ken V. Peasnell, 2015. "The Term Structure of Capital Values:An accounting-based framework for measuring economic profitability," Department of Economics 0060, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    9. Alfonso A. Rojo Ramírez & Maria J. Martínez Romero, 2018. "Required and obtained equity returns in privately held businesses: the impact of family nature—evidence before and after the global economic crisis," Review of Managerial Science, Springer, vol. 12(3), pages 771-801, July.

Articles

  1. J. Ruiter & V. R. M. Benning & S. Yang & B. J. Hartigh & H. Wang & P. T. Prins & J. M. Dorresteijn & J. C. L. Janssens & G. Manna & A. V. Petukhov & B. M. Weckhuysen & F. T. Rabouw & W. Stam, 2025. "Multiscale X-ray scattering elucidates activation and deactivation of oxide-derived copper electrocatalysts for CO2 reduction," Nature Communications, Nature, vol. 16(1), pages 1-11, December.

    Cited by:

    1. Frederic C. Meunier & Alexandre Goguet, 2025. "Achievements and challenges in deciphering heterogeneous catalytic reaction mechanisms using operando infrared spectroscopies," Nature Communications, Nature, vol. 16(1), pages 1-10, December.

  2. Zhang, Q. & Li, Y.P. & Huang, G.H. & Wang, H. & Li, Y.F. & Shen, Z.Y., 2024. "Multivariate time series convolutional neural networks for long-term agricultural drought prediction under global warming," Agricultural Water Management, Elsevier, vol. 292(C).

    Cited by:

    1. Iilonga, Selma Ndeshimona & Ajayi, Oluibukun Gbenga, 2025. "Implementation of deep learning algorithms to model agricultural drought towards sustainable land management in Namibia's Omusati region," Land Use Policy, Elsevier, vol. 156(C).
    2. Yurchenko, Ihor & Khodakivska, Olga & Martyniuk, Maksym, . "Forecasting agricultural land prices in Ukraine using LSTM deep neural networks," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 11(1).

  3. Liang Xiang & Jiachen Chen & Zitian Zhu & Zixuan Song & Zehang Bao & Xuhao Zhu & Feitong Jin & Ke Wang & Shibo Xu & Yiren Zou & Hekang Li & Zhen Wang & Chao Song & Alexander Yue & Justine Partridge & , 2024. "Enhanced quantum state transfer by circumventing quantum chaotic behavior," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

    Cited by:

    1. F. A. Roy & J. H. Romeiro & L. Koch & I. Tsitsilin & J. Schirk & N. J. Glaser & N. Bruckmoser & M. Singh & F. X. Haslbeck & G. B. P. Huber & G. Krylov & A. Marx & F. Pfeiffer & C. M. F. Schneider & C., 2025. "Parity-dependent state transfer for direct entanglement generation," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
    2. Zitian Zhu & Lei Gao & Zehang Bao & Liang Xiang & Zixuan Song & Shibo Xu & Ke Wang & Jiachen Chen & Feitong Jin & Xuhao Zhu & Yu Gao & Yaozu Wu & Chuanyu Zhang & Ning Wang & Yiren Zou & Ziqi Tan & Aos, 2025. "Observation of minimal and maximal speed limits for few and many-body states," Nature Communications, Nature, vol. 16(1), pages 1-9, December.

  4. Pengfei Zhang & Yu Gao & Xiansong Xu & Ning Wang & Hang Dong & Chu Guo & Jinfeng Deng & Xu Zhang & Jiachen Chen & Shibo Xu & Ke Wang & Yaozu Wu & Chuanyu Zhang & Feitong Jin & Xuhao Zhu & Aosai Zhang , 2024. "Emergence of steady quantum transport in a superconducting processor," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

    Cited by:

    1. Marko Žnidarič, 2025. "Inhomogeneous SU(2) symmetries in homogeneous integrable U(1) circuits and transport," Nature Communications, Nature, vol. 16(1), pages 1-8, December.

  5. H. Wang & P. Y. Yang & W. J. Zhao & S. H. Ma & J. H. Hou & Q. F. He & C. L. Wu & H. A. Chen & Q. Wang & Q. Cheng & B. S. Guo & J. C. Qiao & W. J. Lu & S. J. Zhao & X. D. Xu & C. T. Liu & Y. Liu & C. W, 2024. "Lattice distortion enabling enhanced strength and plasticity in high entropy intermetallic alloy," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

    Cited by:

    1. Jinliang Du & Shukuan Guo & Hangqi Feng & Changhong Linghu & Weijie Li & Pei Wang & Ying Li, 2025. "Hyper-Range Amorphization Unlocks Superior Damage Tolerance in Alloys," Nature Communications, Nature, vol. 16(1), pages 1-14, December.

  6. Liang Xiang & Wenjie Jiang & Zehang Bao & Zixuan Song & Shibo Xu & Ke Wang & Jiachen Chen & Feitong Jin & Xuhao Zhu & Zitian Zhu & Fanhao Shen & Ning Wang & Chuanyu Zhang & Yaozu Wu & Yiren Zou & Jiar, 2024. "Long-lived topological time-crystalline order on a quantum processor," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

    Cited by:

    1. Thorsten B. Wahl & Bo Han & Benjamin Béri, 2024. "Topologically ordered time crystals," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

  7. J Wang & H Wang & K Chen, 2023. "Discussion of ‘Statistical inference for streamed longitudinal data’," Biometrika, Biometrika Trust, vol. 110(4), pages 863-866.

    Cited by:

    1. Samuel Muller & Suojin Wang & A. H. Welsh, 2024. "The effect of the working correlation on fitting models to longitudinal data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 51(2), pages 891-912, June.
    2. Man Fung Leung & Kin Wai Chan & Xiaofeng Shao, 2025. "Online Generalized Method of Moments for Time Series," Papers 2502.00751, arXiv.org.

  8. T. F. Keenan & X. Luo & B. D. Stocker & M. G. Kauwe & B. E. Medlyn & I. C. Prentice & N. G. Smith & C. Terrer & H. Wang & Y. Zhang & S. Zhou, 2023. "A constraint on historic growth in global photosynthesis due to rising CO2," Nature Climate Change, Nature, vol. 13(12), pages 1376-1381, December.

    Cited by:

    1. Li, Renzhong & Fei, Chen & Ding, Xiaodong & Fei, Weiyin, 2026. "Optimal carbon capture and storage investments under global warming," Research in International Business and Finance, Elsevier, vol. 82(C).
    2. Ruiying Zhao & Xiangzhong Luo & Anthony P. Walker & Forrest M. Hoffman & Lian Pin Koh, 2026. "Vegetation biogeography is a main source of uncertainty in modelling the land carbon cycle," Nature Communications, Nature, vol. 17(1), pages 1-10, December.
    3. Denis J. Murphy, 2024. "Carbon Sequestration by Tropical Trees and Crops: A Case Study of Oil Palm," Agriculture, MDPI, vol. 14(7), pages 1-31, July.
    4. Xiaoye Yang & Aiguo Dai & Gabriele Messori & Bin He & Zhibo Li & Ziqian Zhong & Xing Yuan & Chang-Hoi Ho & Dim Coumou & Botao Zhou & Deliang Chen, 2026. "Human-induced westerly jet shifts coordinate terrestrial productivity at the hemispheric scale," Nature Communications, Nature, vol. 17(1), pages 1-12, December.
    5. Zefeng Chen & Alessandro Cescatti & Ruofei Xing & Giovanni Forzieri, 2026. "Emergent constraints on the hydrological impacts of land use and land cover change," Nature Communications, Nature, vol. 17(1), pages 1-18, December.

  9. Y. Kondo & N. L. Achouri & H. Al Falou & L. Atar & T. Aumann & H. Baba & K. Boretzky & C. Caesar & D. Calvet & H. Chae & N. Chiga & A. Corsi & F. Delaunay & A. Delbart & Q. Deshayes & Zs. Dombrádi & C, 2023. "Publisher Correction: First observation of 28O," Nature, Nature, vol. 623(7988), pages 13-13, November.

    Cited by:

    1. Benoliel, Peter & Taylor, Margaret & Coburn, Timothy & Desai, Ranjit R. & Schey, Stephen & Gerdes, Mindy & Peng, Peng, 2025. "Soft costs and EVSE – Knowledge gaps as a barrier to successful projects," Applied Energy, Elsevier, vol. 389(C).

  10. Wang, H. & Ke, S.T. & Wang, T.G. & Kareem, A. & Hu, L. & Ge, Y.J., 2022. "Multi-stage typhoon-induced wind effects on offshore wind turbines using a data-driven wind speed field model," Renewable Energy, Elsevier, vol. 188(C), pages 765-777.

    Cited by:

    1. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    2. Ning, Jin & Shi, Ruifeng & Xuan, Shunde & Jiang, Chengyu & Jia, Limin, 2025. "Assessment of offshore island wind energy potential in typhoon-prone regions with a KDE-based probabilistic modeling approach," Energy, Elsevier, vol. 339(C).
    3. Qiuhan Lin & Shuo Ding, 2023. "Analysis of Typhoon-Induced Wind Fields in Ports of the Central and Northern Taiwan Strait," Sustainability, MDPI, vol. 16(1), pages 1-17, December.
    4. Hong Huo & Yuqiu Chen & Shiying Wang, 2024. "Typhoon disaster emergency forecasting method based on big data," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-23, April.

  11. W. Wang & Z.-J. Chen & X. Liu & W. Cai & Y. Ma & X. Mu & X. Pan & Z. Hua & L. Hu & Y. Xu & H. Wang & Y. P. Song & X.-B. Zou & C.-L. Zou & L. Sun, 2022. "Quantum-enhanced radiometry via approximate quantum error correction," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

    Cited by:

    1. Alen Senanian & Sridhar Prabhu & Vladimir Kremenetski & Saswata Roy & Yingkang Cao & Jeremy Kline & Tatsuhiro Onodera & Logan G. Wright & Xiaodi Wu & Valla Fatemi & Peter L. McMahon, 2024. "Microwave signal processing using an analog quantum reservoir computer," Nature Communications, Nature, vol. 15(1), pages 1-9, December.

  12. Y. Vitasse & F. Baumgarten & C. M. Zohner & T. Rutishauser & B. Pietragalla & R. Gehrig & J. Dai & H. Wang & Y. Aono & T. H. Sparks, 2022. "The great acceleration of plant phenological shifts," Nature Climate Change, Nature, vol. 12(4), pages 300-302, April.

    Cited by:

    1. Rui Yin & Wenkuan Qin & Xudong Wang & Dong Xie & Hao Wang & Hongyang Zhao & Zhenhua Zhang & Jin-Sheng He & Martin Schädler & Paul Kardol & Nico Eisenhauer & Biao Zhu, 2023. "Experimental warming causes mismatches in alpine plant-microbe-fauna phenology," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    2. Zhaofei Wu & Constantin M. Zohner & Yuyu Zhou & Thomas W. Crowther & Hongzhou Wang & Yiming Wang & Josep Peñuelas & Yufeng Gong & Jian Zhang & Yibiao Zou & Johan Hoogen & Yongshuo H. Fu, 2025. "Tree species composition governs urban phenological responses to warming," Nature Communications, Nature, vol. 16(1), pages 1-11, December.

  13. T. F. Keenan & X. Luo & M. G. Kauwe & B. E. Medlyn & I. C. Prentice & B. D. Stocker & N. G. Smith & C. Terrer & H. Wang & Y. Zhang & S. Zhou, 2022. "Retraction Note: A constraint on historic growth in global photosynthesis due to increasing CO2," Nature, Nature, vol. 606(7913), pages 420-420, June.

    Cited by:

    1. Wenjie Yang & Xiaoyun Mo, 2024. "Analysis of Interactions among Greenhouse Gas Emissions, Carbon Sinks, and Food Security in China’s Agricultural Systems," Agriculture, MDPI, vol. 14(5), pages 1-21, April.
    2. Yao Zhang & Pierre Gentine & Xiangzhong Luo & Xu Lian & Yanlan Liu & Sha Zhou & Anna M. Michalak & Wu Sun & Joshua B. Fisher & Shilong Piao & Trevor F. Keenan, 2022. "Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

  14. Ma, Y. & Li, Y.P. & Huang, G.H. & Zhang, Y.F. & Liu, Y.R. & Wang, H. & Ding, Y.K., 2022. "Planning water-food-ecology nexus system under uncertainty: Tradeoffs and synergies in Central Asia," Agricultural Water Management, Elsevier, vol. 266(C).

    Cited by:

    1. Li, Xinqing & Zhang, Lixiao & Yang, Aidong & Hao, Yan & Zhang, Pengpeng & Xiong, Xin & Li, Yuqin & Zhang, Zijie, 2025. "Unraveling risk dynamics in the urban food-energy-water system for sustainable management: A coupled model considering trivariate complexity," Technological Forecasting and Social Change, Elsevier, vol. 221(C).

  15. Xu Zhang & Wenjie Jiang & Jinfeng Deng & Ke Wang & Jiachen Chen & Pengfei Zhang & Wenhui Ren & Hang Dong & Shibo Xu & Yu Gao & Feitong Jin & Xuhao Zhu & Qiujiang Guo & Hekang Li & Chao Song & Alexey V, 2022. "Digital quantum simulation of Floquet symmetry-protected topological phases," Nature, Nature, vol. 607(7919), pages 468-473, July.

    Cited by:

    1. Liang Xiang & Wenjie Jiang & Zehang Bao & Zixuan Song & Shibo Xu & Ke Wang & Jiachen Chen & Feitong Jin & Xuhao Zhu & Zitian Zhu & Fanhao Shen & Ning Wang & Chuanyu Zhang & Yaozu Wu & Yiren Zou & Jiar, 2024. "Long-lived topological time-crystalline order on a quantum processor," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Yun-Hao Shi & Zheng-Hang Sun & Yong-Yi Wang & Zheng-An Wang & Yu-Ran Zhang & Wei-Guo Ma & Hao-Tian Liu & Kui Zhao & Jia-Cheng Song & Gui-Han Liang & Zheng-Yang Mei & Jia-Chi Zhang & Hao Li & Chi-Tong , 2024. "Probing spin hydrodynamics on a superconducting quantum simulator," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Yu-Hui Chen & Xiangdong Zhang, 2023. "Realization of an inherent time crystal in a dissipative many-body system," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
    4. Yu Liu & Yu-Ran Zhang & Yun-Hao Shi & Tao Liu & Congwei Lu & Yong-Yi Wang & Hao Li & Tian-Ming Li & Cheng-Lin Deng & Si-Yun Zhou & Tong Liu & Jia-Chi Zhang & Gui-Han Liang & Zheng-Yang Mei & Wei-Guo M, 2025. "Interplay between disorder and topology in Thouless pumping on a superconducting quantum processor," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
    5. Thorsten B. Wahl & Bo Han & Benjamin Béri, 2024. "Topologically ordered time crystals," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    6. Zehang Bao & Shibo Xu & Zixuan Song & Ke Wang & Liang Xiang & Zitian Zhu & Jiachen Chen & Feitong Jin & Xuhao Zhu & Yu Gao & Yaozu Wu & Chuanyu Zhang & Ning Wang & Yiren Zou & Ziqi Tan & Aosai Zhang &, 2024. "Creating and controlling global Greenberger-Horne-Zeilinger entanglement on quantum processors," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    7. Yuechun Jiao & Weilun Jiang & Yu Zhang & Jingxu Bai & Yunhui He & Heng Shen & Jianming Zhao & Suotang Jia, 2025. "Observation of multiple time crystals in a driven-dissipative system with Rydberg gas," Nature Communications, Nature, vol. 16(1), pages 1-7, December.

  16. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.

    Cited by:

    1. Zhang, Runsen & Hanaoka, Tatsuya & Liu, Jingyu & Li, Zhaoling & Sun, Lu, 2024. "Air pollution reduction co-benefits associated with low-carbon transport initiatives for carbon neutrality in China by 2060," Energy, Elsevier, vol. 313(C).
    2. Tao, Xiangyang & Zhao, Jing & Hong, Jingke & Xiao, Fei, 2024. "Pathway towards carbon peaking cities in the Chinese transport sector," Transport Policy, Elsevier, vol. 153(C), pages 39-53.
    3. Zhang, Shuo & Yu, Kun & Yu, Yadong, 2025. "Industrial transformation for synergistic carbon and pollutant reduction in China: Using environmentally extended multi-regional input-output model and multi-objective optimization," Energy, Elsevier, vol. 318(C).
    4. Wang, Zhaohua & Li, Jingyun & Wang, Bo & Hui, Ng Szu & Lu, Bin & Wang, Can & Xu, Shuling & Zhou, Zixuan & Zhang, Bin & Zheng, Yufeng, 2024. "The decarbonization pathway of power system by high-resolution model under different policy scenarios in China," Applied Energy, Elsevier, vol. 355(C).
    5. Wang, Shubin & Li, Jiabao & Lu, Quanying, 2024. "Optimization of carbon peaking achieving paths in China's transportation sector under digital feature clustering," Energy, Elsevier, vol. 313(C).
    6. Sun, Xiaohang & Duan, Haiyan & Song, Junnian & Zheng, Heran & Yang, Wei & Mi, Zhifu, 2024. "Carbon peaking trajectory links to development of a coupled urbanization-industrialization-energy system," Energy, Elsevier, vol. 309(C).
    7. Zhang, Bin & Niu, Niu & Li, Hao & Wang, Zhaohua, 2023. "Assessing the efforts of coal phaseout for carbon neutrality in China," Applied Energy, Elsevier, vol. 352(C).
    8. Kiehbadroudinezhad, Mohammadali & Hosseinzadeh-Bandbafha, Homa & Pan, Junting & Peng, Wanxi & Wang, Yajing & Aghbashlo, Mortaza & Tabatabaei, Meisam, 2023. "The potential of aquatic weed as a resource for sustainable bioenergy sources and bioproducts production," Energy, Elsevier, vol. 278(PA).
    9. Yushu Qin & Hongtao Li, 2026. "Spatial kernel density assessment and driving factors detection of carbon and pollution reduction synergies in Yangtze and Yellow River regions: a marginal abatement cost perspective," Asia-Pacific Journal of Regional Science, Springer, vol. 10(1), pages 1-27, March.
    10. Jiang, Hong-Dian & Pradhan, Basanta K. & Dong, Kangyin & Yu, Yan-Yan & Liang, Qiao-Mei, 2024. "An economy-wide impacts of multiple mitigation pathways toward carbon neutrality in China: A CGE-based analysis," Energy Economics, Elsevier, vol. 129(C).
    11. Zhao, Kai & Wu, Lifeng, 2025. "Heterogeneity grey model and its prediction of energy consumption under the shared socioeconomic pathways," Energy, Elsevier, vol. 319(C).
    12. Qiao, Long & Pu, Wenhao & Wu, Bingwei & Liu, Ruihang & Song, Nanxin, 2024. "Performance study of a supercritical carbon dioxide energy storage system with non-uniform graded compression heat recovery," Energy, Elsevier, vol. 313(C).
    13. Yang, Xiaohui & Sun, Han & Hu, Xueyuan & Li, Longxi, 2025. "Study on the impact of air pollution on health economy under the perspective of energy transition: A case of the Yangtze River Delta region in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 219(C).
    14. Qiao, Renlu & Liu, Xiaochang & Gao, Shuo & Liang, Diling & GesangYangji, Gesang & Xia, Li & Zhou, Shiqi & Ao, Xiang & Jiang, Qingrui & Wu, Zhiqiang, 2024. "Industrialization, urbanization, and innovation: Nonlinear drivers of carbon emissions in Chinese cities," Applied Energy, Elsevier, vol. 358(C).
    15. Wu, Junnian & Li, Xue & Jin, Rong, 2022. "The response of the industrial system to the interrelationship approaching to carbon neutrality of carbon sources and sinks from carbon metabolism: Coal chemical case study," Energy, Elsevier, vol. 261(PB).
    16. Yang, Zhikai & Liu, Pan & Xia, Qian & Li, He & Cheng, Qian & Cheng, Lei, 2024. "Operating rules for hydro-photovoltaic systems: A variance-based sensitivity analysis," Applied Energy, Elsevier, vol. 372(C).
    17. Liu, Qingchen & Li, Hongchang & Shang, Wen-long & Wang, Kun, 2022. "Spatio-temporal distribution of Chinese cities’ air quality and the impact of high-speed rail," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
    18. Lu, Shilei & Lin, Quanyi & Xu, Bowen & Yue, Lu & Feng, Wei, 2023. "Thermodynamic performance of cascaded latent heat storage systems for building heating," Energy, Elsevier, vol. 282(C).
    19. Zheng, Xiaogui & Huang, Guohe & Liu, Lirong & Zhang, Xiaoyue, 2025. "Factorial equilibrium analyses for socio-economic implications of emission trading," Renewable and Sustainable Energy Reviews, Elsevier, vol. 214(C).
    20. Ma, Tengyu & Zhang, Xiantao & Xiao, Jiadong & Wang, Ruilin & Ruan, Chongyan & Wang, Hongsheng, 2026. "Systematic analysis of a fully renewable tri-generation system based on solar-biomass gasification and chemical looping processes," Energy, Elsevier, vol. 344(C).
    21. Wang, Yihan & Wen, Zongguo & Lv, Xiaojun & Zhu, Junming, 2023. "The regional discrepancies in the contribution of China’s thermal power plants toward the carbon peaking target," Applied Energy, Elsevier, vol. 337(C).

  17. F. Baiutti & F. Chiabrera & M. Acosta & D. Diercks & D. Parfitt & J. Santiso & X. Wang & A. Cavallaro & A. Morata & H. Wang & A. Chroneos & J. MacManus-Driscoll & A. Tarancon, 2021. "A high-entropy manganite in an ordered nanocomposite for long-term application in solid oxide cells," Nature Communications, Nature, vol. 12(1), pages 1-11, December.

    Cited by:

    1. Javier Zamudio-García & Francesco Chiabrera & Armando Morin-Martínez & Ivano E. Castelli & Enrique R. Losilla & David Marrero-López & Vincenzo Esposito, 2024. "Hierarchical exsolution in vertically aligned heterostructures," Nature Communications, Nature, vol. 15(1), pages 1-10, December.

  18. K. M. Backes & D. A. Palken & S. Al Kenany & B. M. Brubaker & S. B. Cahn & A. Droster & Gene C. Hilton & Sumita Ghosh & H. Jackson & S. K. Lamoreaux & A. F. Leder & K. W. Lehnert & S. M. Lewis & M. Ma, 2021. "A quantum enhanced search for dark matter axions," Nature, Nature, vol. 590(7845), pages 238-242, February.

    Cited by:

    1. Arjen Vaartjes & Anders Kringhøj & Wyatt Vine & Tom Day & Andrea Morello & Jarryd J. Pla, 2024. "Strong microwave squeezing above 1 Tesla and 1 Kelvin," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Alen Senanian & Sridhar Prabhu & Vladimir Kremenetski & Saswata Roy & Yingkang Cao & Jeremy Kline & Tatsuhiro Onodera & Logan G. Wright & Xiaodi Wu & Valla Fatemi & Peter L. McMahon, 2024. "Microwave signal processing using an analog quantum reservoir computer," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. Min Jiang & Taizhou Hong & Dongdong Hu & Yifan Chen & Fengwei Yang & Tao Hu & Xiaodong Yang & Jing Shu & Yue Zhao & Xinhua Peng & Jiangfeng Du, 2024. "Long-baseline quantum sensor network as dark matter haloscope," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    4. Itay M. Bloch & Roy Shaham & Yonit Hochberg & Eric Kuflik & Tomer Volansky & Or Katz, 2023. "Constraints on axion-like dark matter from a SERF comagnetometer," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    5. Ryan Snodgrass & Vincent Kotsubo & Scott Backhaus & Joel Ullom, 2024. "Dynamic acoustic optimization of pulse tube refrigerators for rapid cooldown," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    6. Yanyan Cai & Xiaowei Deng & Libo Zhang & Zhongchu Ni & Jiasheng Mai & Peihao Huang & Pan Zheng & Ling Hu & Song Liu & Yuan Xu & Dapeng Yu, 2026. "Quantum squeezing amplification with a weak Kerr nonlinear oscillator," Nature Communications, Nature, vol. 17(1), pages 1-8, December.

  19. Mu, L. & Chen, L. & Lin, L. & Park, Y.H. & Wang, H. & Xu, P. & Kota, K. & Kuravi, S., 2021. "An overview of solar still enhancement approaches for increased freshwater production rates from a thermal process perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

    Cited by:

    1. Shatar, Nursyahirah Mohd & Sabri, Mohd Faizul Mohd & Salleh, Mohd Faiz Mohd & Ani, Mohd Hanafi, 2023. "Investigation on the performance of solar still with thermoelectric cooling system for various cover material," Renewable Energy, Elsevier, vol. 202(C), pages 844-854.
    2. Zhu, Huichao & Zhang, Houcheng, 2024. "Integration of proton exchange membrane fuel cell with air gap membrane distillation for sustainable electricity and freshwater cogeneration: Performance, influential mechanism, multi-objective optimization and future perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    3. Wei, Xinyu & Zheng, Qingwen & Chen, Wenlong & Xie, Guo & Li, Yadong & Gao, Fengsheng & Liu, Yingzhang & Wang, Wenquan, 2024. "Pyramid floating solar still with enhanced condensation surfaces operating under actual weather conditions," Renewable Energy, Elsevier, vol. 237(PA).

  20. Peng Kang & Guanghan Song & Ming Xu & Travis R. Miller & Haikun Wang & Hui Zhang & Gang Liu & Ya Zhou & Junshu Ren & Ruoyu Zhong & Huabo Duan, 2021. "Low-carbon pathways for the booming express delivery sector in China," Nature Communications, Nature, vol. 12(1), pages 1-8, December.

    Cited by:

    1. Zeng, Isabella Yunfei & Du, Chenmu & Xiong, Jianliang & Gong, Ting & Wu, Tian, 2024. "Tax policy or carbon emission quota: A theory on traditional ICEV transportation regulation," Energy, Elsevier, vol. 289(C).
    2. Bu, Yan & Wang, Erda & Möst, Dominik & Lieberwirth, Martin, 2022. "How population migration affects carbon emissions in China: Factual and counterfactual scenario analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    3. Yang, Senyan & Zhang, Wenbin & Wu, Shuping & Hu, Xiyuan, 2025. "Carbon emissions from express logistics: Estimation and spatial analysis using origin-destination transportation flows," Transport Policy, Elsevier, vol. 171(C), pages 970-985.
    4. Qing Su & Qizhi Wei & Jinhua Xiao & Jun Yan & Cong Cao, 2025. "What Drives Older Adults to Embrace Smart Courier Lockers? A Study on Technology Acceptance and Information Literacy," SAGE Open, , vol. 15(3), pages 21582440251, September.
    5. Li Ling & Ran Anping & Xu Di, 2023. "Proposal of a hybrid decision-making framework for the prioritization of express packaging recycling patterns," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2610-2647, March.
    6. Ming Gao & Fanlue Li & Meili Huan & Run Zhu & Zhaofeng Zheng & Ke He & Xiaoshi Zhou & Jinkai Li, 2025. "Long-term reduced agricultural nonpoint source pollution driven by rural population aging," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-17, December.
    7. Xintian Wang & Yan Li, 2024. "Comparing influencing factors of online and offline fresh food purchasing: consumption values perspective," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(5), pages 12995-13015, May.
    8. Li, Jian, 2025. "Predicting China's transportation sector volatility: Evidence from a new economic indicator," Finance Research Letters, Elsevier, vol. 84(C).
    9. Ut-Tha Veenarat, 2023. "Pioneering Eco-Cart: Carbon Reduction Solutions for Thai Online Shoppers," Management & Marketing, Paradigm, vol. 18(4), pages 515-536, December.
    10. Xu, Xianhao & Yue, Ruiting & Yang, Bingnan & Li, Zhiwen, 2025. "Integrating game theory and data-driven optimization models for online retailers with reusable packaging adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    11. Li, Jinkai & Gao, Ming & Luo, Erga & Wang, Jingyi & Zhang, Xuebiao, 2023. "Does rural energy poverty alleviation really reduce agricultural carbon emissions? The case of China," Energy Economics, Elsevier, vol. 119(C).

  21. T. F. Keenan & X. Luo & M. G. Kauwe & B. E. Medlyn & I. C. Prentice & B. D. Stocker & N. G. Smith & C. Terrer & H. Wang & Y. Zhang & S. Zhou, 2021. " RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2," Nature, Nature, vol. 600(7888), pages 253-258, December.

    Cited by:

    1. Lucash, Melissa S. & Marshall, Adrienne M. & Weiss, Shelby A. & McNabb, John W. & Nicolsky, Dmitry J. & Flerchinger, Gerald N. & Link, Timothy E. & Vogel, Jason G. & Scheller, Robert M. & Abramoff, Ro, 2023. "Burning trees in frozen soil: Simulating fire, vegetation, soil, and hydrology in the boreal forests of Alaska," Ecological Modelling, Elsevier, vol. 481(C).
    2. Paulo Eduardo Teodoro & Luciano de Souza Maria & Jéssica Marciella Almeida Rodrigues & Adriana de Avila e Silva & Maiara Cristina Metzdorf da Silva & Samara Santos de Souza & Fernando Saragosa Rossi &, 2022. "Wildfire Incidence throughout the Brazilian Pantanal Is Driven by Local Climate Rather Than Bovine Stocking Density," Sustainability, MDPI, vol. 14(16), pages 1-16, August.
    3. Wei Li & Menghang Zhang & Xinyi Sun & Chuanchao Sheng & Xiaowei Mu & Lei Wang & Ping He & Haoshen Zhou, 2024. "Boosting a practical Li-CO2 battery through dimerization reaction based on solid redox mediator," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Kailiang Yu & Philippe Ciais & Sonia I. Seneviratne & Zhihua Liu & Han Y. H. Chen & Jonathan Barichivich & Craig D. Allen & Hui Yang & Yuanyuan Huang & Ashley P. Ballantyne, 2022. "Field-based tree mortality constraint reduces estimates of model-projected forest carbon sinks," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    5. Wenmin Zhang & Guy Schurgers & Josep Peñuelas & Rasmus Fensholt & Hui Yang & Jing Tang & Xiaowei Tong & Philippe Ciais & Martin Brandt, 2023. "Recent decrease of the impact of tropical temperature on the carbon cycle linked to increased precipitation," Nature Communications, Nature, vol. 14(1), pages 1-9, December.

  22. Wang, H. & Bi, X. & Clift, R., 2021. "Utilization of forestry waste materials in British Columbia: Options and strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).

    Cited by:

    1. Malcher, Xenia & Tenorio-Rodriguez, Francis Catherine & Finkbeiner, Matthias & Gonzalez-Salazar, Miguel, 2025. "Decarbonization of district heating: A systematic review of carbon footprint and key mitigation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
    2. Namakka, Murtala & Rahman, Md Rezaur & Bakri, Muhammad Khusairy Bin, 2026. "Waste biomass pellets for green energy production - A sustainable alternative for energy security," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PB).

  23. Chao Zhang & Cong Xu & Wenlong Dai & Yifan Wang & Zhi Liu & Xueyang Zhang & Xuesong Wang & Haikun Wang & Sitang Gong & Yao Cong & Zhong Huang, 2021. "Functional and structural characterization of a two-MAb cocktail for delayed treatment of enterovirus D68 infections," Nature Communications, Nature, vol. 12(1), pages 1-16, December.

    Cited by:

    1. Xianliang Ke & Xue Li & Zeyu Liu & Kexin Liu & Weichi Liu & Xingyu Yan & Bo Shu & Chao Zhang, 2026. "Molecular mechanisms of receptor recognition and antibody neutralization of coxsackievirus A6," Nature Communications, Nature, vol. 17(1), pages 1-18, December.
    2. Chao Zhang & Caixuan Liu & Jinping Shi & Yalei Wang & Cong Xu & Xiaohua Ye & Qingwei Liu & Xue Li & Weihua Qiao & Yannan Yin & Yao Cong & Zhong Huang, 2022. "Molecular mechanism of antibody neutralization of coxsackievirus A16," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

  24. Yuechen Luo & Changlu Xu & Bing Wang & Qing Niu & Xiuhua Su & Yingnan Bai & Shuxian Zhu & Chunxiao Zhao & Yunyan Sun & Jiali Wang & Maolan Liu & Xiaolei Sun & Ge Song & Haidong Cui & Xiaoli Chen & Hui, 2021. "Single-cell transcriptomic analysis reveals disparate effector differentiation pathways in human Treg compartment," Nature Communications, Nature, vol. 12(1), pages 1-14, December.

    Cited by:

    1. Ajay Subramanian & Shengqin Su & Jamie Flerlage & Stefan Alig & Sheren Younes & Lianna J. Marks & Chelsea Pinnix & Francisco Vega & Raphael Steiner & Priya Kumar & Heidi Mocikova & Alice Sykorova & Vi, 2025. "Distinct cell state ecosystems for nodular lymphocyte-predominant Hodgkin lymphoma," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    2. Yin Li & Manling Jiang & Ling Aye & Li Luo & Yong Zhang & Fengkai Xu & Yongqi Wei & Dan Peng & Xiang He & Jie Gu & Xiaofang Yu & Guoping Li & Di Ge & Chunlai Lu, 2024. "UPP1 promotes lung adenocarcinoma progression through the induction of an immunosuppressive microenvironment," Nature Communications, Nature, vol. 15(1), pages 1-23, December.

  25. Chao Zhang & Yifan Wang & Yuanfei Zhu & Caixuan Liu & Chenjian Gu & Shiqi Xu & Yalei Wang & Yu Zhou & Yanxing Wang & Wenyu Han & Xiaoyu Hong & Yong Yang & Xueyang Zhang & Tingfeng Wang & Cong Xu & Qin, 2021. "Development and structural basis of a two-MAb cocktail for treating SARS-CoV-2 infections," Nature Communications, Nature, vol. 12(1), pages 1-16, December.

    Cited by:

    1. Shengjun Wang & Wei Ran & Lingyu Sun & Qingchi Fan & Yuanqi Zhao & Bowen Wang & Jinghong Yang & Yuqi He & Ying Wu & Yuanyuan Wang & Luoyi Chen & Arpaporn Chuchuay & Yuyu You & Xinhai Zhu & Xiaojuan Wa, 2024. "Sequential glycosylations at the multibasic cleavage site of SARS-CoV-2 spike protein regulate viral activity," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    2. Yifan Wang & Caixuan Liu & Chao Zhang & Yanxing Wang & Qin Hong & Shiqi Xu & Zuyang Li & Yong Yang & Zhong Huang & Yao Cong, 2022. "Structural basis for SARS-CoV-2 Delta variant recognition of ACE2 receptor and broadly neutralizing antibodies," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    3. Xianliang Ke & Xue Li & Zeyu Liu & Kexin Liu & Weichi Liu & Xingyu Yan & Bo Shu & Chao Zhang, 2026. "Molecular mechanisms of receptor recognition and antibody neutralization of coxsackievirus A6," Nature Communications, Nature, vol. 17(1), pages 1-18, December.
    4. Lei Peng & Yingxia Hu & Madeleine C. Mankowski & Ping Ren & Rita E. Chen & Jin Wei & Min Zhao & Tongqing Li & Therese Tripler & Lupeng Ye & Ryan D. Chow & Zhenhao Fang & Chunxiang Wu & Matthew B. Dong, 2022. "Monospecific and bispecific monoclonal SARS-CoV-2 neutralizing antibodies that maintain potency against B.1.617," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    5. Chao Zhang & Caixuan Liu & Jinping Shi & Yalei Wang & Cong Xu & Xiaohua Ye & Qingwei Liu & Xue Li & Weihua Qiao & Yannan Yin & Yao Cong & Zhong Huang, 2022. "Molecular mechanism of antibody neutralization of coxsackievirus A16," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

  26. P. S. Keller & N. Catalán & D. Schiller & H.-P. Grossart & M. Koschorreck & B. Obrador & M. A. Frassl & N. Karakaya & N. Barros & J. A. Howitt & C. Mendoza-Lera & A. Pastor & G. Flaim & R. Aben & T. R, 2020. "Global CO2 emissions from dry inland waters share common drivers across ecosystems," Nature Communications, Nature, vol. 11(1), pages 1-8, December.

    Cited by:

    1. Li, Xiao & Liu, Pan & Feng, Maoyuan & Jordaan, Sarah M. & Cheng, Lei & Ming, Bo & Chen, Jie & Xie, Kang & Liu, Weibo, 2024. "Energy transition paradox: Solar and wind growth can hinder decarbonization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    2. Ning, Zhihao & Zhou, Yanlai & He, Juntao & Tang, Chun & Xu, Chong-Yu & Chang, Fi-John, 2025. "Balancing water, power, and carbon: A synergistic optimization framework for mega cascade reservoir operations," Renewable Energy, Elsevier, vol. 243(C).

  27. Wang, H. & Ke, S.T. & Wang, T.G. & Zhu, S.Y., 2020. "Typhoon-induced vibration response and the working mechanism of large wind turbine considering multi-stage effects," Renewable Energy, Elsevier, vol. 153(C), pages 740-758.

    Cited by:

    1. Huiyuan Liu & Qiaoli Han & De Tian & Xiaomei Feng & Zhiyong Guo & Minghui Zhang, 2024. "Research on Flutter Characterization of Flexible Blade Response under Typhoon Operating Conditions," Energies, MDPI, vol. 17(5), pages 1-15, March.
    2. Chen, Yisu & Wu, Di & Yu, Yuguo & Gao, Wei, 2021. "Do cyclone impacts really matter for the long-term performance of an offshore wind turbine?," Renewable Energy, Elsevier, vol. 178(C), pages 184-201.
    3. Wang, Hao & Wang, Tongguang & Ke, Shitang & Hu, Liang & Xie, Jiaojie & Cai, Xin & Cao, Jiufa & Ren, Yuxin, 2023. "Assessing code-based design wind loads for offshore wind turbines in China against typhoons," Renewable Energy, Elsevier, vol. 212(C), pages 669-682.
    4. Wang, H. & Ke, S.T. & Wang, T.G. & Kareem, A. & Hu, L. & Ge, Y.J., 2022. "Multi-stage typhoon-induced wind effects on offshore wind turbines using a data-driven wind speed field model," Renewable Energy, Elsevier, vol. 188(C), pages 765-777.
    5. Qin, Mengfei & Shi, Wei & Chai, Wei & Fu, Xing & Li, Lin & Li, Xin, 2023. "Extreme structural response prediction and fatigue damage evaluation for large-scale monopile offshore wind turbines subject to typhoon conditions," Renewable Energy, Elsevier, vol. 208(C), pages 450-464.
    6. Hu, Lehan & Shi, Wei & Hu, Weifei & Chai, Wei & Hu, Zhiqiang & Wu, Jun & Li, Xin, 2025. "Short-term prediction of mooring tension for floating offshore wind turbines under typhoon conditions based on the VMD-MI-LSTM method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 216(C).
    7. Cai, Chang & Yang, Yingjian & Jia, Yan & Wu, Guangxing & Zhang, Hairui & Yuan, Feiqi & Qian, Quan & Li, Qing'an, 2023. "Aerodynamic load evaluation of leading edge and trailing edge windward states of large-scale wind turbine blade under parked condition," Applied Energy, Elsevier, vol. 350(C).
    8. Kangqi Tian & Li Song & Yongyan Chen & Xiaofeng Jiao & Rui Feng & Rui Tian, 2022. "Stress Coupling Analysis and Failure Damage Evaluation of Wind Turbine Blades during Strong Winds," Energies, MDPI, vol. 15(4), pages 1-19, February.
    9. Li, Zhiguo & Gao, Zhiying & Chen, Yongyan & Zhang, Liru & Wang, Jianwen, 2022. "A novel time-variant prediction model for megawatt flexible wind turbines and its application in NTM and ECD conditions," Renewable Energy, Elsevier, vol. 196(C), pages 1158-1169.
    10. Yao, Qi & Tang, Jie & Ke, Yiming & Li, Li & Lu, Xiaoqin & Hu, Yang & Fang, Fang & Liu, Jizhen, 2024. "Anti-tropical cyclone load reduction control of wind turbines based on deep neural network yaw algorithm," Applied Energy, Elsevier, vol. 376(PB).
    11. Zuo, Haoran & Bi, Kaiming & Hao, Hong & Xin, Yu & Li, Jun & Li, Chao, 2020. "Fragility analyses of offshore wind turbines subjected to aerodynamic and sea wave loadings," Renewable Energy, Elsevier, vol. 160(C), pages 1269-1282.

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    Cited by:

    1. Jiang, L. & Ji, Y. & Shi, W.K. & Fang, M.X. & Wang, T. & Zhang, X.J., 2023. "Adsorption heat/mass conversion cycle for carbon capture:Concept, thermodynamics and perspective," Energy, Elsevier, vol. 278(PA).
    2. Ye, H. & Tao, Y.B. & Wu, Z.H., 2022. "Performance improvement of packed bed thermochemical heat storage by enhancing heat transfer and vapor transmission," Applied Energy, Elsevier, vol. 326(C).
    3. Xue, X.J. & Wang, H.N. & Wang, J.H. & Yang, B. & Yan, J. & Zhao, C.Y., 2024. "Experimental and numerical investigation on latent heat/cold stores for advanced pumped-thermal energy storage," Energy, Elsevier, vol. 300(C).
    4. Xue, X.J. & Zhao, C.Y., 2023. "Transient behavior and thermodynamic analysis of Brayton-like pumped-thermal electricity storage based on packed-bed latent heat/cold stores," Applied Energy, Elsevier, vol. 329(C).
    5. Ding, Zhixiong & Wu, Wei & Leung, Michael K.H., 2022. "On the rational development of advanced thermochemical thermal batteries for short-term and long-term energy storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
    6. Ge, Y.Q. & Zhao, Y. & Zhao, C.Y., 2021. "Transient simulation and thermodynamic analysis of pumped thermal electricity storage based on packed-bed latent heat/cold stores," Renewable Energy, Elsevier, vol. 174(C), pages 939-951.
    7. Fang, Zheyu & Zeng, Kuo & Xu, Huaqian & Zuo, Hongyang & Lu, Yongwen & Chi, Bowen & Sheng, Chengmin & Wang, Xianhua & Yang, Haiping & Chen, Hanping, 2025. "Investigation of metal foam enhancement under multilayer interaction for large-scale latent heat storage," Energy, Elsevier, vol. 328(C).
    8. Wang, H.N. & Xue, X.J. & Zhao, C.Y., 2024. "Performance analysis on combined energy supply system based on Carnot battery with packed-bed thermal energy storage," Renewable Energy, Elsevier, vol. 228(C).
    9. Luo, Rongrong & Wang, Liuwei & Yu, Wei & Shao, Feilong & Shen, Haikuo & Xie, Huaqing, 2023. "High energy storage density titanium nitride-pentaerythritol solid–solid composite phase change materials for light-thermal-electric conversion," Applied Energy, Elsevier, vol. 331(C).
    10. Zeng, Kuo & Gao, Junjie & Lu, Yongwen & Zuo, Hongyang & Chi, Bowen & Fang, Zheyu & Li, Jun & Xu, Huaqian & Li, Beiyang & Yang, Haiping & Chen, Hanping, 2024. "Comprehensive enhancement of melting-solidifying process in latent heat storage based on eccentric fin-foam combination," Energy, Elsevier, vol. 313(C).
    11. Zhiqian Li & Min Zhang & Huijin Xu, 2025. "Revealing the Roles of Heat Transfer, Thermal Dynamics, and Reaction Kinetics in Hydrogenation/Dehydrogenation Processes for Mg-Based Metal Hydride Hydrogen Storage," Energies, MDPI, vol. 18(11), pages 1-32, June.
    12. Song, Chao & Che, Jinbo & Wang, Fengnian & Wang, Rui & Li, Yinshi, 2025. "Modelling investigation for multi-physics heat storage performance of solar-driven calcium looping in moving bed collector based on CFD-DEM," Applied Energy, Elsevier, vol. 379(C).
    13. Zhao, Yao & Huang, Jiaxing & Song, Jian & Ding, Yulong, 2024. "Thermodynamic investigation of a Carnot battery based multi-energy system with cascaded latent thermal (heat and cold) energy stores," Energy, Elsevier, vol. 296(C).
    14. Che Lah, Nurul Akmal, 2021. "Late transition metal nanocomplexes: Applications for renewable energy conversion and storage," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    15. Zhao, Yongliang & Song, Jian & Liu, Ming & Zhao, Yao & Olympios, Andreas V. & Sapin, Paul & Yan, Junjie & Markides, Christos N., 2022. "Thermo-economic assessments of pumped-thermal electricity storage systems employing sensible heat storage materials," Renewable Energy, Elsevier, vol. 186(C), pages 431-456.
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    17. Xie, Peng & Jin, Lu & Qiao, Geng & Lin, Cheng & Barreneche, Camila & Ding, Yulong, 2022. "Thermal energy storage for electric vehicles at low temperatures: Concepts, systems, devices and materials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 160(C).
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    24. Li, Wei & Zhang, Lianjie & Klemeš, Jiří Jaromír & Wang, Qiuwang & Zeng, Min, 2022. "Thermochemical energy conversion behaviour in the corrugated heat storage unit with porous metal support," Energy, Elsevier, vol. 259(C).
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    Cited by:

    1. Ke Zhang & Xingwei Wang, 2021. "Pollution Haven Hypothesis of Global CO 2 , SO 2 , NO x —Evidence from 43 Economies and 56 Sectors," IJERPH, MDPI, vol. 18(12), pages 1-27, June.
    2. Thomas K. Dasaklis & Theodore G. Voutsinas & Giannis T. Tsoulfas & Fran Casino, 2022. "A Systematic Literature Review of Blockchain-Enabled Supply Chain Traceability Implementations," Sustainability, MDPI, vol. 14(4), pages 1-30, February.
    3. Wang, Qiang & Jiang, Feng & Li, Rongrong, 2022. "Assessing supply chain greenness from the perspective of embodied renewable energy – A data envelopment analysis using multi-regional input-output analysis," Renewable Energy, Elsevier, vol. 189(C), pages 1292-1305.
    4. Xingyu Dai & Dongna Zhang & Chi Keung Marco Lau & Qunwei Wang, 2023. "Multiobjective portfolio optimization: Forecasting and evaluation under investment horizon heterogeneity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2167-2196, December.
    5. Juan E. Núñez-Ríos & Jacqueline Y. Sánchez-García, 2024. "Determining the Factors to Improve Sustainable Performance in a Medium-Sized Organization," Sustainability, MDPI, vol. 16(16), pages 1-25, August.
    6. Shahzad, Fakhar & Ben Zaied, Younes & Zhang, Qingyu & Tseng, Ming-Lang, 2026. "Exploring the impact of blockchain technology adoption on sustainable supply chain performance," International Journal of Production Economics, Elsevier, vol. 294(C).
    7. Yiming Zhuang & Meltem Denizel & Frank Montabon, 2023. "Examining Firms’ Sustainability Frontier: Efficiency in Reaching the Triple Bottom Line," Sustainability, MDPI, vol. 15(11), pages 1-22, May.
    8. Song, Yanwu & Niu, Niu & Song, Xinyi & Zhang, Bin, 2024. "Decoding the influence of servitization on green transformation in manufacturing firms: The moderating effect of artificial intelligence," Energy Economics, Elsevier, vol. 139(C).
    9. Akberdina, V. V. & Sergeeva, A. S., 2020. "Strategic Priorities for the Development of Middle Regions in Russia," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(2), pages 89-99.
    10. Georgescu, Irina Alexandra & Oprea, Simona-Vasilica & Bâra, Adela, 2024. "Investigating the relationship between macroeconomic indicators, renewables and pollution across diverse regions in the globalization era," Applied Energy, Elsevier, vol. 363(C).
    11. Alberto Roca Florido & Simon Mair, 2025. "Tensions between the carbon, employment and value added generated by marine sectors: Triple bottom line analysis using a novel input–output table for the UK," Sustainable Development, John Wiley & Sons, Ltd., vol. 33(1), pages 1366-1380, February.
    12. Shiqian Zhu & Xiaogang Liu, 2025. "The Ecodesign Transformation of Smart Clothing: Towards a Systemic and Coupled Social–Ecological–Technological System Perspective," Sustainability, MDPI, vol. 17(5), pages 1-28, February.
    13. Sarkar, Bishal Dey & Gupta, Laxmi & Jagtap, Sandeep, 2025. "Resilient or fragile? Modelling economic disruptions in India's electronics sector due to the Red Sea crisis," Journal of Transport Geography, Elsevier, vol. 123(C).
    14. Imadeddine Oubrahim & Naoufal Sefiani & Ari Happonen, 2023. "The Influence of Digital Transformation and Supply Chain Integration on Overall Sustainable Supply Chain Performance: An Empirical Analysis from Manufacturing Companies in Morocco," Energies, MDPI, vol. 16(2), pages 1-24, January.
    15. Long, Tengju & Wu, Ge & Miao, Zhuang & Chen, Xiaodong, 2024. "Quantifying consumption-based environmental productivity from “Energy-Environment Footprints”," Energy, Elsevier, vol. 313(C).
    16. Mukesh Kumar & Rakesh D. Raut & Mahak Sharma & Vikas Kumar Choubey & Sanjoy Kumar Paul, 2022. "Enablers for resilience and pandemic preparedness in food supply chain," Operations Management Research, Springer, vol. 15(3), pages 1198-1223, December.
    17. Majid Azadi & Zohreh Moghaddas & Reza Farzipoor Saen & Angappa Gunasekaran & Sachin Kumar Mangla & Alessio Ishizaka, 2023. "Using network data envelopment analysis to assess the sustainability and resilience of healthcare supply chains in response to the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 328(1), pages 107-150, September.
    18. Lotfi, Farhad Hosseinzadeh & Saen, Reza Farzipoor & Moghaddas, Zohreh & Vaez-Ghasemi, Mohsen, 2023. "Using an SBM-NDEA model to assess the desirable and undesirable outputs of sustainable supply chain: A case study in wheat industry," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    19. Xu, Yue & Tian, Shu & Wang, Qingsong & Yuan, Xueliang & Ma, Qiao & Liu, Mengyue & Xu, Zhaopeng & Liu, Jixiang & Xu, Xiang & Liu, Chengqing, 2021. "Optimization path of energy-economy system from the perspective of minimum industrial structure adjustment," Energy, Elsevier, vol. 237(C).
    20. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    21. Theresa Rennenberg & Yifei Yu & Luca Fraccascia & Devrim Murat Yazan, 2024. "Circularity Reinforcement of Critical Raw Materials in Europe: A Case of Niobium," Circular Economy and Sustainability, Springer, vol. 4(4), pages 2449-2472, December.
    22. Li, Yongqing & Ma, Huimin & Xiong, Jie & Zhang, Jinlong & Ponnamma Divakaran, Pradeep Kumar, 2022. "Manufacturing structure, transformation path, and performance evolution: An industrial network perspective," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
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    24. Amirhossein Khanbaba & Sadoullah Ebrahimnejad, 2023. "A multi objective input–output model to select optimal strategies under COVID-19 conditions: In the pharmaceutical industry," Operations Management Research, Springer, vol. 16(4), pages 2025-2047, December.
    25. Ali Emrouznejad & Victor Podinovski & Vincent Charles & Chixiao Lu & Amir Moradi-Motlagh, 2025. "Rajiv Banker’s lasting impact on data envelopment analysis," Annals of Operations Research, Springer, vol. 351(2), pages 1225-1264, August.
    26. Chen Chunhua & Liu Haohua & Tang Lijun & Ren Jianwei, 2021. "A Range Adjusted Measure of Super-Efficiency in Integer-Valued Data Envelopment Analysis with Undesirable Outputs," Journal of Systems Science and Information, De Gruyter, vol. 9(4), pages 378-398, August.
    27. Wang, Yizhong & Jeong, Sujong & Hang, Ye & Wang, Qunwei, 2024. "Multi-sector environmental efficiency and productivity: A general Leontief optimization method," Omega, Elsevier, vol. 126(C).
    28. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    29. Chen, Xiaodong & Guo, Anda & Miao, Zhuang & Zhu, Pengyu, 2024. "Assessing the performance of the transport sector within the global supply chain context: Decomposition of energy and environmental productivity," Applied Energy, Elsevier, vol. 358(C).

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    Cited by:

    1. David Q. P. Reis & Sara Pereira & Ana P. Ramos & Pedro M. Pereira & Leonor Morgado & Joana Calvário & Adriano O. Henriques & Mónica Serrano & Ana S. Pina, 2024. "Catalytic peptide-based coacervates for enhanced function through structural organization and substrate specificity," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    2. Hyun-Soo Kim & Benjamin Roche & Sonali Bhattacharjee & Leila Todeschini & An-Yun Chang & Christopher Hammell & André Verdel & Robert A. Martienssen, 2024. "Clr4SUV39H1 ubiquitination and non-coding RNA mediate transcriptional silencing of heterochromatin via Swi6 phase separation," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    3. Lauren Ann Metskas & Davi Ortega & Luke M. Oltrogge & Cecilia Blikstad & Derik R. Lovejoy & Thomas G. Laughlin & David F. Savage & Grant J. Jensen, 2022. "Rubisco forms a lattice inside alpha-carboxysomes," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    4. Mengru Yang & Nicolas Wenner & Gregory F. Dykes & Yan Li & Xiaojun Zhu & Yaqi Sun & Fang Huang & Jay C. D. Hinton & Lu-Ning Liu, 2022. "Biogenesis of a bacterial metabolosome for propanediol utilization," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    5. Tao Ni & Yaqi Sun & Will Burn & Monsour M. J. Al-Hazeem & Yanan Zhu & Xiulian Yu & Lu-Ning Liu & Peijun Zhang, 2022. "Structure and assembly of cargo Rubisco in two native α-carboxysomes," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Wei Kang & Zhiyue Wu & Xinzhi Huang & Hongbin Qi & Jiaxuan Wu & Jiahui Wang & Jing Li & Sijin Wu & Byung-Ho Kang & Bo Li & Juncai Ma & Chuang Xue, 2025. "Time-dependent catalytic activity in aging condensates," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
    7. Mohammad M. Rahman & Svetlana Zamakhaeva & Jeffrey S. Rush & Catherine T. Chaton & Cameron W. Kenner & Yin Mon Hla & Ho-Ching Tiffany Tsui & Vladimir N. Uversky & Malcolm E. Winkler & Konstantin V. Ko, 2025. "Glycosylation of serine/threonine-rich intrinsically disordered regions of membrane-associated proteins in streptococci," Nature Communications, Nature, vol. 16(1), pages 1-20, December.
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  31. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.

    Cited by:

    1. Zhong, Zhangqi & Guo, Zhifang & Zhang, Jianwu, 2021. "Does the participation in global value chains promote interregional carbon emissions transferring via trade? Evidence from 39 major economies," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
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    3. Chen, Jian & Zhao, Di, 2022. "Complexity of domestic production fragmentation and its impact on pollution emissions: Evidence from decomposed regional production length," Structural Change and Economic Dynamics, Elsevier, vol. 61(C), pages 127-137.
    4. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    5. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    6. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).

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    Cited by:

    1. Fernando Valadares & Ni-Ni Huang & Kyle Timothy Ng Chu & Aleksandr Dorogov & Weipin Chua & Lingda Kong & Pengtao Song & Yvonne Y. Gao, 2024. "On-demand transposition across light-matter interaction regimes in bosonic cQED," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    2. W. Wang & Z.-J. Chen & X. Liu & W. Cai & Y. Ma & X. Mu & X. Pan & Z. Hua & L. Hu & Y. Xu & H. Wang & Y. P. Song & X.-B. Zou & C.-L. Zou & L. Sun, 2022. "Quantum-enhanced radiometry via approximate quantum error correction," Nature Communications, Nature, vol. 13(1), pages 1-8, December.

  33. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.

    Cited by:

    1. Atkinson, Scott E. & Tsionas, Mike G., 2021. "Generalized estimation of productivity with multiple bad outputs: The importance of materials balance constraints," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1165-1186.
    2. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    3. Chen, Jiandong & Xu, Chong & Huang, Shuo & Shen, Zhiyang & Song, Malin & Wang, Shiqi, 2022. "Adjusted carbon intensity in China: Trend, driver, and network," Energy, Elsevier, vol. 251(C).
    4. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    5. Prantik Bagchi & Santosh Kumar Sahu & Ajay Kumar & Kim Hua Tan, 2022. "Analysis of carbon productivity for firms in the manufacturing sector of India," Post-Print hal-03628401, HAL.
    6. Huo, Tengfei & Xu, Linbo & Feng, Wei & Cai, Weiguang & Liu, Bingsheng, 2021. "Dynamic scenario simulations of carbon emission peak in China's city-scale urban residential building sector through 2050," Energy Policy, Elsevier, vol. 159(C).
    7. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    8. Wang, Hui & Yu, Shasha & Yang, Yafei & Wang, Meiyue & Zhou, Peng, 2025. "Assessing carbon emissions along global supply chains from technology perspective: A network production decomposition analysis," Ecological Economics, Elsevier, vol. 233(C).
    9. Chu, Junfei & Shao, Caifeng & Emrouznejad, Ali & Wu, Jie & Yuan, Zhe, 2021. "Performance evaluation of organizations considering economic incentives for emission reduction: A carbon emission permit trading approach," Energy Economics, Elsevier, vol. 101(C).
    10. Yang, Yafei & Zhou, Peng & Wang, Hui, 2026. "Carbon emissions from electricity consumption in interprovincial grids of China: An electricity-extended input-output analysis," Energy Policy, Elsevier, vol. 208(C).
    11. Xilian Wang & Lihang Qu & Yueying Wang & Helin Xie, 2023. "Dynamic Scenario Predictions of Peak Carbon Emissions in China’s Construction Industry," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    12. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    13. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    14. Huo, Tengfei & Cong, Xiaobo & Cheng, Cong & Cai, Weiguang & Zuo, Jian, 2023. "What is the driving mechanism for the carbon emissions in the building sector? An integrated DEMATEL-ISM model," Energy, Elsevier, vol. 274(C).
    15. Ye, Li & Yang, Deling & Dang, Yaoguo & Wang, Junjie, 2022. "An enhanced multivariable dynamic time-delay discrete grey forecasting model for predicting China's carbon emissions," Energy, Elsevier, vol. 249(C).
    16. Haseeb, Muhammad & Haouas, Ilham & Nasih, Mohammad & Mihardjo, Leonardus WW. & Jermsittiparsert, Kittisak, 2020. "Asymmetric impact of textile and clothing manufacturing on carbon-dioxide emissions: Evidence from top Asian economies," Energy, Elsevier, vol. 196(C).
    17. Bo Peng & Rasa Melnikiene & Tomas Balezentis & Giulio Paolo Agnusdei, 2024. "Structural dynamics and sustainability in the agricultural sector: the case of the European Union," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-27, December.
    18. Jiandong Chen & Chong Xu & Yinyin Wu & Zihao Li & Malin Song, 2022. "Drivers and trajectories of China’s renewable energy consumption," Annals of Operations Research, Springer, vol. 313(1), pages 441-459, June.
    19. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    20. Yunfei An & Dequn Zhou & Qunwei Wang, 2022. "Carbon emission reduction potential and its influencing factors in China’s coal-fired power industry: a cost optimization and decomposition analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3619-3639, March.
    21. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    22. Hui Wang & Chen Pan & B.W. Ang & Peng Zhou, 2021. "Does Global Value Chain Participation Decouple Chinese Development from CO2 Emissions? A Structural Decomposition Analysis," The Energy Journal, , vol. 42(2), pages 183-204, March.
    23. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    24. Xu, Chong & Li, Zhiwen & Chen, Boyang & Yang, Qian & An, Jiafu, 2024. "Low-carbon development in China's transportation sector: Multidimensional characteristics and policy implications," Energy, Elsevier, vol. 289(C).
    25. Robi Kurniawan & Gregory P. Trencher & Achmed S. Edianto & Imam E. Setiawan & Kazuyo Matsubae, 2020. "Understanding the Multi-Faceted Drivers of Increasing Coal Consumption in Indonesia," Energies, MDPI, vol. 13(14), pages 1-22, July.

  34. G. X. Ni & H. Wang & B.-Y. Jiang & L. X. Chen & Y. Du & Z. Y. Sun & M. D. Goldflam & A. J. Frenzel & X. M. Xie & M. M. Fogler & D. N. Basov, 2019. "Soliton superlattices in twisted hexagonal boron nitride," Nature Communications, Nature, vol. 10(1), pages 1-6, December.

    Cited by:

    1. Xirui Wang & Cheng Xu & Samuel Aronson & Daniel Bennett & Nisarga Paul & Philip J. D. Crowley & Clément Collignon & Kenji Watanabe & Takashi Taniguchi & Raymond Ashoori & Efthimios Kaxiras & Yang Zhan, 2025. "Moiré band structure engineering using a twisted boron nitride substrate," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    2. Huagen Li & Dong Wang & Guoqiang Xu & Kaipeng Liu & Tan Zhang & Jiaxin Li & Guangming Tao & Shuihua Yang & Yanghua Lu & Run Hu & Shisheng Lin & Ying Li & Cheng-Wei Qiu, 2024. "Twisted moiré conductive thermal metasurface," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    3. H. Shiravi & A. Gupta & B. R. Ortiz & S. Cui & B. Yu & E. Uykur & A. A. Tsirlin & S. D. Wilson & Z. Sun & G. X. Ni, 2024. "Plasmons in the Kagome metal CsV3Sb5," Nature Communications, Nature, vol. 15(1), pages 1-7, December.

  35. Xixi Zhang & Haiwei Zhang & Chengxian Xu & Xiaoming Li & Ming Li & Xiaoxia Wu & Wenjuan Pu & Bin Zhou & Haikun Wang & Dali Li & Qiurong Ding & Hao Ying & Hui Wang & Haibing Zhang, 2019. "Ubiquitination of RIPK1 suppresses programmed cell death by regulating RIPK1 kinase activation during embryogenesis," Nature Communications, Nature, vol. 10(1), pages 1-15, December.

    Cited by:

    1. Hailin Tu & Weihang Xiong & Jie Zhang & Xueqiang Zhao & Xin Lin, 2022. "Tyrosine phosphorylation regulates RIPK1 activity to limit cell death and inflammation," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    2. Irina Momcheva & Ivan Kazmin, 2025. "TNFα Therapy – Is Personalization of Treatment Selection Possible?," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 60(2), pages 52328-52332, January.
    3. Jialin Dai & Taijie Jin & Gaixiu Su & Xu Han & Jun Wang & Chenlu Liu & Wenjie Zheng & Qiuye Zhang & Ranran Zhang & Hye Sun Kuehn & Jun Yang & Li Guo & Dan Zhang & Ming Li & Yingjie Xu & Tong Yue & Min, 2026. "CD8+ T cell loss induces autoinflammation in inborn errors of cell death," Nature Communications, Nature, vol. 17(1), pages 1-15, December.

  36. Haikun Wang & Xi Lu & Yu Deng & Yaoguang Sun & Chris P. Nielsen & Yifan Liu & Ge Zhu & Maoliang Bu & Jun Bi & Michael B. McElroy, 2019. "China’s CO2 peak before 2030 implied from characteristics and growth of cities," Nature Sustainability, Nature, vol. 2(8), pages 748-754, August.

    Cited by:

    1. Pan, Guangsheng & Gu, Wei & Chen, Sheng & Lu, Yuping & Zhou, Suyang & Wei, Zhinong, 2021. "Investment equilibrium of an integrated multi–stakeholder electricity–gas–hydrogen system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    2. Zhang, Yue-Jun & Cheng, Hao-Sen, 2021. "The impact mechanism of the ETS on CO2 emissions from the service sector: Evidence from Beijing and Shanghai," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    3. Qiqi Huang & Changying Xiang, 2025. "Interdependence and coordination challenges: EV charging infrastructure and carbon emissions in the Yangtze River Delta," Environment and Planning B, , vol. 52(4), pages 931-948, May.
    4. Liu, Geng & Sun, Shida & Zou, Chao & Wang, Bo & Wu, Lin & Mao, Hongjun, 2022. "Air pollutant emissions from on-road vehicles and their control in Inner Mongolia, China," Energy, Elsevier, vol. 238(PB).
    5. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Liu, Yinshan & Wang, Yuanfeng & Shi, Chengcheng & Zhang, Weijun & Luo, Wei & Wang, Jingjing & Li, Keping & Yeung, Ngai & Kite, Steve, 2022. "Assessing the CO2 reduction target gap and sustainability for bridges in China by 2040," Renewable and Sustainable Energy Reviews, Elsevier, vol. 154(C).
    7. Jingcheng Li & Menggang Li, 2022. "Research of Carbon Emission Reduction Potentials in the Yellow River Basin, Based on Cluster Analysis and the Logarithmic Mean Divisia Index (LMDI) Method," Sustainability, MDPI, vol. 14(9), pages 1-16, April.
    8. Wang, Jinmei & Yang, Qing & He, Ling & Liu, Xingxing & Fu, Lingmei & Zhang, Chen, 2026. "Dynamic scenario simulations of carbon emission peaking and mitigation pressure with CNN-GRU-Attention model in China's construction sector," Energy, Elsevier, vol. 344(C).
    9. Xu, Feng & Li, Xiaodong & Yang, Zhihan & Zhu, Chen, 2024. "Spatiotemporal characteristics and driving factor analysis of embodied CO2 emissions in China's building sector," Energy Policy, Elsevier, vol. 188(C).
    10. Zhao, Mengxue & Chan, Hon S., 2024. "Balancing through agglomeration: A third path to sustainable development between common prosperity and carbon neutrality in China," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    11. Kazuyuki Miyazaki & Kevin Bowman, 2023. "Predictability of fossil fuel CO2 from air quality emissions," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    12. Li, Daimeng & Xu, Jiahe & Ma, Ruifei & Zhang, Xuan & Wu, Qiuwei, 2025. "A pathway design framework for rational low-carbon policies based on model predictive control," Applied Energy, Elsevier, vol. 396(C).
    13. Chang, Yuan & Xue, Yibing & Song, Shangyi & Geng, Geng, 2025. "Analysis on carbon emission and peak forecasting of urban industrial zone renewal process in China based on extended Kaya identity," Energy, Elsevier, vol. 315(C).
    14. Liao, Hua & Ye, Huiying, 2023. "Endogenous economic structure, climate change, and the optimal abatement path," Structural Change and Economic Dynamics, Elsevier, vol. 65(C), pages 417-429.
    15. Wang, Xiaoling & Zhang, Tianyue & Nathwani, Jatin & Yang, Fangming & Shao, Qinglong, 2022. "Environmental regulation, technology innovation, and low carbon development: Revisiting the EKC Hypothesis, Porter Hypothesis, and Jevons’ Paradox in China's iron & steel industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    16. Xia, Linlin & Fu, Wenqi & Ke, Yuhan & Wang, Ruwei & Liang, Sai & Yang, Zhifeng, 2025. "China's economic restructuring helps improve land-use resilience of carbon metabolism: Evidences from three Chinese megacities," Applied Energy, Elsevier, vol. 377(PC).
    17. Jiang, Shiqi & Lin, Xinyue & Qi, Lingli & Zhang, Yongqiang & Sharp, Basil, 2022. "The macro-economic and CO2 emissions impacts of COVID-19 and recovery policies in China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 981-996.
    18. Liu, Shuoshi & Zhou, Jiefeng & Yang, Siyu, 2024. "Advanced Rectisol wash equipment incorporating syngas liquefaction and methane recovery for enhanced energy management," Energy, Elsevier, vol. 299(C).
    19. Sun, Hui & Wang, Enzhen & Li, Xiang & Cui, Xian & Guo, Jianbin & Dong, Renjie, 2021. "Potential biomethane production from crop residues in China: Contributions to carbon neutrality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    20. Wang, Yuanping & Hou, Lingchun & Hu, Lang & Cai, Weiguang & Wang, Lin & Dai, Cuilian & Chen, Juntao, 2023. "How family structure type affects household energy consumption: A heterogeneous study based on Chinese household evidence," Energy, Elsevier, vol. 284(C).
    21. Zou, Chenchen & Ma, Minda & Zhou, Nan & Feng, Wei & You, Kairui & Zhang, Shufan, 2023. "Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China," Energy, Elsevier, vol. 277(C).
    22. Cai, Liya & Luo, Ji & Wang, Minghui & Guo, Jianfeng & Duan, Jinglin & Li, Jingtao & Li, Shuo & Liu, Liting & Ren, Dangpei, 2023. "Pathways for municipalities to achieve carbon emission peak and carbon neutrality: A study based on the LEAP model," Energy, Elsevier, vol. 262(PB).
    23. Guangsheng Pan & Qinran Hu & Wei Gu & Shixing Ding & Haifeng Qiu & Yuping Lu, 2021. "Assessment of plum rain’s impact on power system emissions in Yangtze-Huaihe River basin of China," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    24. Luo, Xichun & Pu, Youshao & Zhao, Honghao, 2026. "The impact of artificial intelligence on carbon emissions and its spatial spillover effects: Evidence from industrial robots," Energy, Elsevier, vol. 342(C).
    25. Zhang, Tianhu & Wang, Fuxi & Gao, Yi & Liu, Yuanjun & Guo, Qiang & Zhao, Qingxin, 2023. "Optimization of a solar-air source heat pump system in the high-cold and high-altitude area of China," Energy, Elsevier, vol. 268(C).
    26. Sun, Chen & Song, Junnian & Zhang, Dongqi & Wang, Xiaofan & Yang, Wei & Qi, Zhimin & Chen, Shaoqing, 2023. "Tracing urban carbon footprints differentiating supply chain complexity: A metropolis case," Energy, Elsevier, vol. 282(C).
    27. Miao, Ankang & Yuan, Yue & Wu, Han & Ma, Xin & Shao, Chenyu & Xiang, Sheng, 2024. "Pathway for China's provincial carbon emission peak: A case study of the Jiangsu Province," Energy, Elsevier, vol. 298(C).
    28. Tu, Chuang & Mu, Xianzhong & Chen, Jian & Kong, Li & Zhang, Zheng & Lu, Yutong & Hu, Guangwen, 2021. "Study on the interactive relationship between urban residents’ expenditure and energy consumption of production sectors," Energy Policy, Elsevier, vol. 157(C).
    29. Zheng, Shenglin & Yuan, Rong, 2023. "Sectoral convergence analysis of China's emissions intensity and its implications," Energy, Elsevier, vol. 262(PB).
    30. Lin, Huaxing & Zhou, Ziqian & Chen, Shun & Jiang, Ping, 2023. "Clustering and assessing carbon peak statuses of typical cities in underdeveloped Western China," Applied Energy, Elsevier, vol. 329(C).

  37. Wang, Haikun & He, Chaoming & Lv, Siyun & Sun, Haoran, 2018. "A new electromagnetic vibrational energy harvesting device for swaying cables," Applied Energy, Elsevier, vol. 228(C), pages 2448-2461.

    Cited by:

    1. Zhou, Xu & Wang, Kangda & Li, Siyu & Wang, Yadong & Sun, Daoyu & Wang, Longlong & He, Zhizhu & Tang, Wei & Liu, Huicong & Jin, Xiaoping & Li, Zhen, 2024. "An ultra-compact lightweight electromagnetic generator enhanced with Halbach magnet array and printed triphase windings," Applied Energy, Elsevier, vol. 353(PA).
    2. Li, Zhongjie & Jiang, Xiaomeng & Yin, Peilun & Tang, Lihua & Wu, Hao & Peng, Yan & Luo, Jun & Xie, Shaorong & Pu, Huayan & Wang, Daifeng, 2021. "Towards self-powered technique in underwater robots via a high-efficiency electromagnetic transducer with circularly abrupt magnetic flux density change," Applied Energy, Elsevier, vol. 302(C).
    3. Aldawood, Ghufran & Nguyen, Hieu Tri & Bardaweel, Hamzeh, 2019. "High power density spring-assisted nonlinear electromagnetic vibration energy harvester for low base-accelerations," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Kansha, Yasuki & Ishizuka, Masanori, 2019. "Design of energy harvesting wireless sensors using magnetic phase transition," Energy, Elsevier, vol. 180(C), pages 1001-1007.
    5. Silva-Leon, Jorge & Cioncolini, Andrea & Nabawy, Mostafa R.A. & Revell, Alistair & Kennaugh, Andrew, 2019. "Simultaneous wind and solar energy harvesting with inverted flags," Applied Energy, Elsevier, vol. 239(C), pages 846-858.
    6. Zhou, Xu & Mei, Mingqi & Tang, Tianyi & Li, Yunfei & Wang, Zizhao & Zhu, Yu & Yan, Bin & Lin, Hao & Li, Zhen & Liu, Huicong, 2025. "Self-powered water condition monitoring system based on rotational electromagnetic generator," Energy, Elsevier, vol. 326(C).
    7. Azam, Ali & Ahmed, Ammar & Kamran, Muhammad Sajid & Hai, Li & Zhang, Zutao & Ali, Asif, 2021. "Knowledge structuring for enhancing mechanical energy harvesting (MEH): An in-depth review from 2000 to 2020 using CiteSpace," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    8. Eghbali, Pejman & Younesian, Davood & Farhangdoust, Saman, 2020. "Enhancement of the low-frequency acoustic energy harvesting with auxetic resonators," Applied Energy, Elsevier, vol. 270(C).
    9. Qi, Lingfei & Song, Juhuang & Wang, Yuan & Yi, Minyi & Zhang, Zutao & Yan, Jinyue, 2024. "Mechanical motion rectification-based electromagnetic vibration energy harvesting technology: A review," Energy, Elsevier, vol. 289(C).
    10. Kim, Jae Woo & Salauddin, Md & Cho, Hyunok & Rasel, M. Salauddin & Park, Jae Yeong, 2019. "Electromagnetic energy harvester based on a finger trigger rotational gear module and an array of disc Halbach magnets," Applied Energy, Elsevier, vol. 250(C), pages 776-785.
    11. Yang, Xin & Lai, Siu-Kai & Wang, Chen & Wang, Jia-Mei & Ding, Hu, 2022. "On a spring-assisted multi-stable hybrid-integrated vibration energy harvester for ultra-low-frequency excitations," Energy, Elsevier, vol. 252(C).

  38. Goh, Tian & Ang, B.W. & Su, Bin & Wang, H., 2018. "Drivers of stagnating global carbon intensity of electricity and the way forward," Energy Policy, Elsevier, vol. 113(C), pages 149-156.

    Cited by:

    1. Felício, Laura & Henriques, Sofia Teives & Guevara, Zeus & Sousa, Tânia, 2024. "From electrification to decarbonization: Insights from Portugal's experience (1960–2016)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    2. Cheng Huang & Yang Qu & Lingfang Huang & Xing Meng & Yulong Chen & Ping Pan, 2022. "Quantifying the Impact of Urban Form and Socio-Economic Development on China’s Carbon Emissions," IJERPH, MDPI, vol. 19(5), pages 1-14, March.
    3. Juyong Lee & Youngsang Cho & Jungwoo Shin, 2019. "A Study on the Optimal Ratio of Research and Development Investment in the Energy Sector: An Empirical Analysis in South Korea," Energies, MDPI, vol. 12(2), pages 1-12, January.
    4. Ibn-Mohammed, T. & Serrenho, A.C. & Fujii, H. & Acquaye, A. & Morrison-Saunders, A., 2025. "Decarbonising the UK pulp, paper and printing sector: Balancing sustainability and global competitiveness through insights from LMDI and MRIO analysis," Energy Economics, Elsevier, vol. 150(C).
    5. Shiping Ma & Qianqian Liu & Wenzhong Zhang, 2022. "Examining the Effects of Installed Capacity Mix and Capacity Factor on Aggregate Carbon Intensity for Electricity Generation in China," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    6. Wang, Ning & Shen, Ruifang & Wen, Zongguo & De Clercq, Djavan, 2019. "Life cycle energy efficiency evaluation for coal development and utilization," Energy, Elsevier, vol. 179(C), pages 1-11.
    7. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    8. Aamir Javed & Agnese Rapposelli, 2025. "Unleashing the asymmetric impact of ICT, technological innovation, and the renewable energy transition on environmental sustainability: evidence from Western and Eastern European nations," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(11), pages 27353-27391, November.
    9. Chenjun Zhang & Teli Ma & Changfeng Shi & Yung-Ho Chiu, 2023. "Carbon emission from the electric power industry in Jiangsu province, China: Historical evolution and future prediction," Energy & Environment, , vol. 34(6), pages 1910-1936, September.
    10. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    11. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    12. Abdul-Manan, Amir F.N. & Won, Hyun-Woo & Li, Yang & Sarathy, S. Mani & Xie, Xiaomin & Amer, Amer A., 2020. "Bridging the gap in a resource and climate-constrained world with advanced gasoline compression-ignition hybrids," Applied Energy, Elsevier, vol. 267(C).
    13. Sinan He & Yanwen Jia & Qiuli Lv & Longyu Shi & Lijie Gao, 2025. "Spatiotemporal Characteristic and Driving Factors of Synergy on Carbon Dioxide Emission and Pollutants Reductions in the Guangdong–Hong Kong–Macao Greater Bay Area, China," Sustainability, MDPI, vol. 17(9), pages 1-28, April.
    14. Rodrigues, João F.D. & Wang, Juan & Behrens, Paul & de Boer, Paul, 2020. "Drivers of CO2 emissions from electricity generation in the European Union 2000–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    16. Xu, Chong & Gao, Yuchen, 2025. "Powering the planet: A 30-year retrospective and prospect on global electricity generation," Energy, Elsevier, vol. 316(C).
    17. Wu, Qingyang & Tan, Chang & Wang, Daoping & Wu, Yongtao & Meng, Jing & Zheng, Heran, 2023. "How carbon emission prices accelerate net zero: Evidence from China's coal-fired power plants," Energy Policy, Elsevier, vol. 177(C).
    18. Yiyi Zhang & Shengren Hou & Jiefeng Liu & Hanbo Zheng & Jiaqi Wang & Chaohai Zhang, 2020. "Evolution of Virtual Water Transfers in China’s Provincial Grids and Its Driving Analysis," Energies, MDPI, vol. 13(2), pages 1-19, January.
    19. Pinto, Ricardo & Henriques, Sofia T. & Brockway, Paul E. & Heun, Matthew Kuperus & Sousa, Tânia, 2023. "The rise and stall of world electricity efficiency:1900–2017, results and insights for the renewables transition," Energy, Elsevier, vol. 269(C).
    20. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Gui, Shusen & Duan, Ye & Jiang, Bo & Kong, Xue, 2020. "Optimal way to achieve renewable portfolio standard policy goals from the electricity generation, transmission, and trading perspectives in southern China," Energy Policy, Elsevier, vol. 139(C).
    21. Thomas G. Schrand, 2020. "Utopianism and the equity path to sustainability," Journal of Environmental Studies and Sciences, Springer;Association of Environmental Studies and Sciences, vol. 10(4), pages 457-466, December.
    22. Tri Melda Mei Liana & Gloria J. M. Sianipar & Sunday Ade Sitorus & Heri Setiawan & Nunti Sibuea, 2024. "Indonesia’s Power Shift: Business Strategies for Renewable Energy and Social Justice," International Journal of Energy Economics and Policy, Econjournals, vol. 14(4), pages 150-159, July.
    23. Laura Felício & Sofia T. Henriques & André Serrenho & Tiago Domingos & Tânia Sousa, 2019. "Insights from Past Trends in Exergy Efficiency and Carbon Intensity of Electricity: Portugal, 1900–2014," Energies, MDPI, vol. 12(3), pages 1-22, February.
    24. Tello, Witson Peña, 2025. "Policy interactions and electricity generation sector CO2 emissions: A quasi-experimental analysis," Energy Policy, Elsevier, vol. 198(C).
    25. Ma, Minda & Cai, Wei & Cai, Weiguang, 2018. "Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods," Energy, Elsevier, vol. 165(PA), pages 350-368.
    26. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    27. Sou, Weng Sut & Goh, Tian & Lee, Xin Ni & Ng, Szu Hui & Chai, Kah-Hin, 2022. "Reducing the carbon intensity of international shipping – The impact of energy efficiency measures," Energy Policy, Elsevier, vol. 170(C).
    28. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    29. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    30. Hongze Li & FengYun Li & Xinhua Yu, 2018. "China’s Contributions to Global Green Energy and Low-Carbon Development: Empirical Evidence under the Belt and Road Framework," Energies, MDPI, vol. 11(6), pages 1-32, June.
    31. Wang, Yaxian & Zhao, Zhenli & Wang, Wenju & Streimikiene, Dalia & Balezentis, Tomas, 2023. "Interplay of multiple factors behind decarbonisation of thermal electricity generation: A novel decomposition model," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    32. Goh, Tian & Ang, B.W. & Xu, X.Y., 2018. "Quantifying drivers of CO2 emissions from electricity generation – Current practices and future extensions," Applied Energy, Elsevier, vol. 231(C), pages 1191-1204.
    33. Perry Sadorsky, 2020. "Energy Related CO 2 Emissions before and after the Financial Crisis," Sustainability, MDPI, vol. 12(9), pages 1-22, May.

  39. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.

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    1. Jana, Sebak Kumar & Lise, Wietze, 2023. "Carbon Emissions from Energy Use in India: Decomposition Analysis," MPRA Paper 117245, University Library of Munich, Germany.
    2. Jiancheng Qin & Jingzhe Tang & Lei Gao & Kun Zhang & Hui Tao, 2025. "Drivers of Carbon Emission in Xinjiang Energy Base: Perspective from the Five-Year Plan Periods," Energies, MDPI, vol. 18(19), pages 1-23, September.
    3. Yuanyuan Xu & Jing Jia & Hamid Mahmood & Samia Khalid, 2026. "Natural resource depletion and carbon inequality: An empirical insight from developed and developing countries," Energy & Environment, , vol. 37(2), pages 1096-1115, March.
    4. Faik Bilgili & Mohamed Alsanusi & Muhammad Mansur Kabir & Ashar Awan, 2025. "Quantile dynamics of control of corruption, political stability, and renewable energy on environmental quality in the MENA region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(6), pages 14001-14021, June.
    5. Xu, Chong & Wang, Bingjie & Chen, Jiandong & Shen, Zhiyang & Song, Malin & An, Jiafu, 2022. "Carbon inequality in China: Novel drivers and policy driven scenario analysis," Energy Policy, Elsevier, vol. 170(C).
    6. Meng Yang & Yisheng Liu & Jinzhao Tian & Feiyu Cheng & Pengbo Song, 2022. "Dynamic Evolution and Regional Disparity in Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    7. Gong, Zhonghang & Wu, Yuqin & Tawiah, Vincent & Abdulrasheed, Zakari, 2023. "The environmental footprint of international business in Africa; The role of natural resources," Resources Policy, Elsevier, vol. 80(C).
    8. Wanbei Jiang & Weidong Liu, 2020. "Provincial-Level CO 2 Emissions Intensity Inequality in China: Regional Source and Explanatory Factors of Interregional and Intraregional Inequalities," Sustainability, MDPI, vol. 12(6), pages 1-16, March.
    9. Yasunori Ito & Hidemichi Fujii, 2024. "Trend Changes and the Driving Forces of Environmental Indicators in Countries Worldwide: A Structural Change Analysis of Variations in CO 2 Emissions and Eco-Efficiency," Sustainability, MDPI, vol. 16(12), pages 1-16, June.
    10. LinBai Li & WeiLing Liu & Samia Khalid & Hamid Mahmood, 2026. "Investigating the Role of Natural Resource Depletion and Consumption Expenditures in Escalating Carbon Inequality," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 31(1), pages 335-349, January.
    11. Gao, Shuaizhi & Zhou, Peng & Zhang, Hongyan, 2023. "Does energy transition help narrow the urban-rural income gap? Evidence from China," Energy Policy, Elsevier, vol. 182(C).
    12. Jiaxing Pang & Hengji Li & Chengpeng Lu & Chenyu Lu & Xingpeng Chen, 2020. "Regional Differences and Dynamic Evolution of Carbon Emission Intensity of Agriculture Production in China," IJERPH, MDPI, vol. 17(20), pages 1-14, October.
    13. Junliang Yang & Haiyan Shan, 2019. "Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    14. Behnam Ata & Parisa Pakrooh & Ayoub Barkat & Ramzi Benhizia & János Pénzes, 2022. "Inequalities in Regional Level Domestic CO 2 Emissions and Energy Use: A Case Study of Iran," Energies, MDPI, vol. 15(11), pages 1-26, May.
    15. Haobo Chen & Shangyu Liu & Yaoqiu Kuang & Jie Shu & Zetao Ma, 2023. "Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China," Energies, MDPI, vol. 16(24), pages 1-25, December.
    16. Carmen Ramos & Patricio Aroca & Juan Carlos Miranda & Felipe Acum, 2024. "Analyzing regional imbalances in CO2 emissions: a study for Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1391-1412, January.
    17. Weihua Su & Yuying Wang & Dalia Streimikiene & Tomas Balezentis & Chonghui Zhang, 2020. "Carbon dioxide emission decomposition along the gradient of economic development: The case of energy sustainability in the G7 and Brazil, Russia, India, China and South Africa," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(4), pages 657-669, July.
    18. Gao, Xue & Chen, Xuan & Liu, Lan-Cui, 2024. "Exploring the determinants of the evolution of urban and rural household carbon footprints inequality in China," Energy Policy, Elsevier, vol. 185(C).
    19. Tachega, Mark Awe & Chen, Yanjiao & Wang, Junjian & Agbanyo, George Kwame & Xu, Haohan & Ning, Zexin & Yang, Pei, 2025. "CO2 emissions inequality in Africa: Regional analysis and strategies for climate justice," Energy, Elsevier, vol. 320(C).
    20. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    21. Zhu, Qingyuan & Xu, Chengzhen & Lee, Chien-Chiang, 2024. "Trade-induced carbon-economic inequality within China: Measurement, sources, and determinants," Energy Economics, Elsevier, vol. 136(C).
    22. Cosimo Magazzino & Parisa Pakrooh & Mohammad Zoynul Abedin, 2024. "A decomposition and decoupling analysis for carbon dioxide emissions: evidence from OECD countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(11), pages 28539-28566, November.
    23. Guo, Ji & Zhao, Mengke & Wu, Xianhua & Shi, Beibei & Santibanez Gonzalez, Ernesto D.R., 2021. "Study on the distribution of PM emission rights in various provinces of China based on a new efficiency and equity two-objective DEA model," Ecological Economics, Elsevier, vol. 183(C).
    24. Wei, Long & Li, Wenjing & Jin, Zhida, 2024. "Global value chains participation and trade-induced carbon inequality: A comparative analysis of developed and developing economies," Ecological Economics, Elsevier, vol. 220(C).
    25. Wang, Zhen & Yan, Haoben & Gao, Xue & Liang, Qiaomei & Mi, Zhifu & Liu, Lancui, 2024. "Have consumption-based CO2 emissions in developed countries peaked?," Energy Policy, Elsevier, vol. 184(C).
    26. Zhen Yu & Yuan Zhang & Juan Zhang & Wenjie Zhang, 2022. "Analysis and prediction of the temporal and spatial evolution of carbon emissions in China’s eight economic regions," PLOS ONE, Public Library of Science, vol. 17(12), pages 1-23, December.
    27. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    28. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    29. Xiang Liu & Xinyuan Zhang & Man Yuan & Jia Liu & Guolin Zhou, 2024. "Spatial-temporal differentiation of urban eco-efficiency and its driving factors: A comparison of five major urban agglomerations in China," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-22, March.
    30. Chen, Jiandong & Xu, Chong & Cui, Lianbiao & Huang, Shuo & Song, Malin, 2019. "Driving factors of CO2 emissions and inequality characteristics in China: A combined decomposition approach," Energy Economics, Elsevier, vol. 78(C), pages 589-597.
    31. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).

  40. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.

    Cited by:

    1. Ibrahim, Ridwan Lanre & Ajide, Kazeem Bello, 2021. "The dynamic heterogeneous impacts of nonrenewable energy, trade openness, total natural resource rents, financial development and regulatory quality on environmental quality: Evidence from BRICS economies," Resources Policy, Elsevier, vol. 74(C).
    2. Miao, Yuang & Lu, Huixia & Cui, Shizhang & Zhang, Xu & Zhang, Yusheng & Song, Xinwang & Cheng, Haiying, 2024. "CO2 emissions change in Tianjin: The driving factors and the role of CCS," Applied Energy, Elsevier, vol. 353(PA).
    3. Perna, A. & Minutillo, M. & Jannelli, E. & Cigolotti, V. & Nam, S.W. & Han, J., 2018. "Design and performance assessment of a combined heat, hydrogen and power (CHHP) system based on ammonia-fueled SOFC," Applied Energy, Elsevier, vol. 231(C), pages 1216-1229.
    4. Jeremi s M t Balogh, 2020. "The Role of Agriculture in Climate Change: A Global Perspective," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 401-408.
    5. Ridwan Lanre Ibrahim & Kazeem Bello Ajide, 2022. "Trade facilitation and environmental quality: empirical evidence from some selected African countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 1282-1312, January.
    6. Li, Aijun & Zhou, Dinglin & Chen, Guoshi & Liu, Yuhao & Long, Yan, 2020. "Multi-region comparisons of energy-related CO2 emissions and production water use during energy development in northwestern China," Renewable Energy, Elsevier, vol. 153(C), pages 940-961.
    7. Lin, Boqiang & Jia, Zhijie, 2020. "Is emission trading scheme an opportunity for renewable energy in China? A perspective of ETS revenue redistributions," Applied Energy, Elsevier, vol. 263(C).
    8. Dong, Kangyin & Hochman, Gal & Timilsina, Govinda R., 2020. "Do drivers of CO2 emission growth alter overtime and by the stage of economic development?," Energy Policy, Elsevier, vol. 140(C).
    9. Smith, Matthew & Christopoulos, Dimitris, 2025. "GVC participation and carbon emissions – A network analysis," Ecological Economics, Elsevier, vol. 228(C).
    10. Zhangqi Zhong & Xu Zhang & Weina Gao, 2020. "Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    11. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    12. Kaliske, Maren, 2023. "Intra-EU trade-embodied carbon emissions: Is there voting for dirty comparative advantages?," Economics Letters, Elsevier, vol. 231(C).
    13. Iftikhar Yasin & Nawaz Ahmad & Muhammad Aslam Chaudhary, 2021. "The impact of financial development, political institutions, and urbanization on environmental degradation: evidence from 59 less-developed economies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 6698-6721, May.
    14. Xie Zeqiong & He Junfei, 2022. "Decomposition and sector aggregation analysis of indirect household carbon emission indicators: a case study of Guangdong Province in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6903-6924, May.
    15. Khojaste Effatpanah, Saeed & Rahbari, Hamid Reza & Ahmadi, Mohammad H. & Farzaneh, Ali, 2023. "Green hydrogen production and utilization in a novel SOFC/GT-based zero-carbon cogeneration system: A thermodynamic evaluation," Renewable Energy, Elsevier, vol. 219(P2).
    16. Sorroche-del-Rey, Yolanda & Piedra-Muñoz, Laura & Galdeano-Gómez, Emilio, 2023. "Interrelationship between international trade and environmental performance: Theoretical approaches and indicators for sustainable development," MPRA Paper 119918, University Library of Munich, Germany.
    17. Xiaojun Deng & Yali Huang & Jing Zou & Zhangqi Zhong, 2024. "Domestic outsourcing characteristics and driving forces of the virtual water trade in Zhejiang Province, eastern China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 4861-4885, February.
    18. Junliang Yang & Haiyan Shan, 2019. "Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    19. Leitão, Nuno Carlos, . "The relationship between carbon dioxide emissions and Portuguese agricultural productivity," Studies in Agricultural Economics, Research Institute for Agricultural Economics, vol. 120(3).
    20. Haoran Wang & Toshiyuki Fujita, 2023. "A Review of Research on Embodied Carbon in International Trade," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    21. Zhang, Yu & Tian, Kailan & Li, Xiaomeng & Jiang, Xuemei & Yang, Cuihong, 2022. "From globalization to regionalization? Assessing its potential environmental and economic effects," Applied Energy, Elsevier, vol. 310(C).
    22. Li, Y.L. & Chen, B. & Chen, G.Q., 2020. "Carbon network embodied in international trade: Global structural evolution and its policy implications," Energy Policy, Elsevier, vol. 139(C).
    23. Hongli Zhang & Lei Shen & Shuai Zhong & Ayman Elshkaki, 2020. "Economic Structure Transformation and Low-Carbon Development in Energy-Rich Cities: The Case of the Contiguous Area of Shanxi and Shaanxi Provinces, and Inner Mongolia Autonomous Region of China," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    24. Qingbo Huang & Xinxin Xia & Xiaohan Zhang & Yan Li, 2024. "Can the extension of the global value chain production length promote carbon emissions reduction in China's equipment manufacturing industry?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 3165-3192, February.
    25. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    26. Beisheim, Benedikt & Krämer, Stefan & Engell, Sebastian, 2020. "Hierarchical aggregation of energy performance indicators in continuous production processes," Applied Energy, Elsevier, vol. 264(C).
    27. Wang, Zhaojing & Jiang, Qingzhe & Dong, Kangyin & Mubarik, Muhammad Shujaat & Dong, Xiucheng, 2020. "Decomposition of the US CO2 emissions and its mitigation potential: An aggregate and sectoral analysis," Energy Policy, Elsevier, vol. 147(C).
    28. Yaolin Wang & Zilin Yuan & Jun Yan & Haixu Zhang & Qinge Guan & Sheng Rao & Chunlai Jiang & Zhiguo Duan, 2024. "Analysis of Synergistic Drivers of CO 2 and NO X Emissions from Thermal Power Generating Units in Beijing–Tianjin–Hebei Region, 2010–2020," Sustainability, MDPI, vol. 16(17), pages 1-17, August.
    29. Fang, Guochang & Huang, Meng & Zhang, Wenbin & Tian, Lixin, 2024. "Exploring global embodied carbon emissions transfer network—An analysis based on national responsibility," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
    30. Zameer, Hashim & Yasmeen, Humaira & Zafar, Muhammad Wasif & Waheed, Abdul & Sinha, Avik, 2020. "Analyzing the association between Innovation, Economic Growth, and Environment: Divulging the Importance of FDI and Trade Openness in India," MPRA Paper 101323, University Library of Munich, Germany, revised 2020.
    31. Pham Ngoc-Tham & Pham Trung-Kien & Cao Viet Hieu & Tran Ha Giang & Vo Xuan Vinh, 2020. "The Impact of International Trade on Environmental Quality: Implications for Law," Asian Journal of Law and Economics, De Gruyter, vol. 11(1), pages 1-12, April.
    32. Ren, Xiaohang & Lu, Qian & Gozgor, Giray & Fu, Haiqin, 2025. "Natural gas and the battle of carbon emissions: Interpreting the spatial effects of provincial carbon emissions in China," International Review of Economics & Finance, Elsevier, vol. 97(C).
    33. Xu, Xueliu & Wang, Qian & Ran, Chenyang & Mu, Mingjie, 2021. "Is burden responsibility more effective? A value-added method for tracing worldwide carbon emissions," Ecological Economics, Elsevier, vol. 181(C).
    34. Shang, Wen-Long & Ling, Yantao & Ochieng, Washington & Yang, Linchuan & Gao, Xing & Ren, Qingzhong & Chen, Yilin & Cao, Mengqiu, 2024. "Driving forces of CO2 emissions from the transport, storage and postal sectors: A pathway to achieving carbon neutrality," Applied Energy, Elsevier, vol. 365(C).
    35. Chuanwang Sun & Lanyun Chen & Guangxiao Huang, 2019. "Decomposition Analysis of CO 2 Emissions Embodied in the International Trade of Russia," Sustainability, MDPI, vol. 12(1), pages 1-22, December.
    36. Han Sun & Chao Huang & Shan Ni, 2022. "Driving factors of consumption-based PM2.5 emissions in China: an application of the generalized Divisia index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10209-10231, August.
    37. Zhao, Ziyi & Zhao, Yuhuan & Shi, Xunpeng & Zheng, Lu & Fan, Shunan & Zuo, Sumin, 2024. "Green innovation and carbon emission performance: The role of digital economy," Energy Policy, Elsevier, vol. 195(C).
    38. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    39. Nuno Carlos Leitão & Jeremiás Máté Balogh, 2020. "The impact of intra-industry trade on carbon dioxide emissions: The case of the European Union," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 66(5), pages 203-214.
    40. Jia, Zhijie & Lin, Boqiang, 2021. "The impact of removing cross subsidies in electric power industry in China: Welfare, economy, and CO2 emission," Energy Policy, Elsevier, vol. 148(PB).
    41. Pengfei Wang & Hongbo Li & Jiaxin Xu, 2024. "Forecasting carbon emissions of China’s industrial sectors via time lag effect," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 16005-16024, June.
    42. Liu, Xianmei & Peng, Rui & Zhong, Chao & Wang, Mingyue & Guo, Pibin, 2021. "What drives the temporal and spatial differences of CO2 emissions in the transport sector? Empirical evidence from municipalities in China," Energy Policy, Elsevier, vol. 159(C).
    43. Xinwei Zhao & Xinsong Yang & Geng Peng & Shengjie Yue, 2023. "International Trade and Carbon Emissions: Evaluating the Role of Trade Rule Uncertainty," Sustainability, MDPI, vol. 15(15), pages 1-19, July.
    44. Wu, Si & Hu, Shougeng & Frazier, Amy E., 2021. "Spatiotemporal variation and driving factors of carbon emissions in three industrial land spaces in China from 1997 to 2016," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    45. Jain, Manisha, 2025. "Energy savings from efficiency improvements in past three decades: Estimates from 144 countries," Applied Energy, Elsevier, vol. 381(C).
    46. Pinjie Xie & Yue Lu & Yuwen Xie, 2024. "The Influencing Factors of Carbon Emissions in the Industrial Sector: Empirical Analysis Based on a Spatial Econometric Model," Sustainability, MDPI, vol. 16(6), pages 1-24, March.
    47. Li, Guo & Zakari, Abdulrasheed & Tawiah, Vincent, 2020. "Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives," Resources Policy, Elsevier, vol. 68(C).
    48. Liu, Li-Jing & Liang, Qiao-Mei & Creutzig, Felix & Ward, Hauke & Zhang, Kun, 2020. "Sweet spots are in the food system: Structural adjustments to co-control regional pollutants and national GHG emissions in China," Ecological Economics, Elsevier, vol. 171(C).
    49. Ji, Xi & Liu, Yifang & Meng, Jing & Wu, Xudong, 2020. "Global supply chain of biomass use and the shift of environmental welfare from primary exploiters to final consumers," Applied Energy, Elsevier, vol. 276(C).
    50. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    51. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
    52. Jiang, Lei & He, Shixiong & Zhong, Zhangqi & Zhou, Haifeng & He, Lingyun, 2019. "Revisiting environmental kuznets curve for carbon dioxide emissions: The role of trade," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 245-257.
    53. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    54. Zahraee, Seyed Mojib & Rahimpour Golroudbary, Saeed & Shiwakoti, Nirajan & Stasinopoulos, Peter, 2021. "Particle-Gaseous pollutant emissions and cost of global biomass supply chain via maritime transportation: Full-scale synergy model," Applied Energy, Elsevier, vol. 303(C).

  41. H. Wang & B.W. Ang & P. Zhou, 2018. "Decomposing Aggregate CO2 Emission Changes with Heterogeneity: An Extended Production-theoretical Approach," The Energy Journal, , vol. 39(1), pages 59-80, January.

    Cited by:

    1. Wang, Hui & Yu, Shasha & Yang, Yafei & Wang, Meiyue & Zhou, Peng, 2025. "Assessing carbon emissions along global supply chains from technology perspective: A network production decomposition analysis," Ecological Economics, Elsevier, vol. 233(C).
    2. Xu, Chong & Qin, Zengqiang & Chen, Jiandong & Zhang, Jiangxue, 2024. "Heterogeneous technology-induced global CO2 emission reduction and emission forecasting since the Kyoto era," Applied Energy, Elsevier, vol. 371(C).

  42. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.

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    1. Lin, Boqiang & Xu, Mengmeng, 2019. "Quantitative assessment of factors affecting energy intensity from sector, region and time perspectives using decomposition method: A case of China’s metallurgical industry," Energy, Elsevier, vol. 189(C).
    2. Hong, Junjie & Shi, Fangyuan & Zheng, Yuhan, 2023. "Does network infrastructure construction reduce energy intensity? Based on the “Broadband China” strategy," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    3. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    4. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    5. Zhao, Zhibo & Shi, Xunpeng & Zhao, Lingdi & Zhang, Jinggu, 2020. "Extending production-theoretical decomposition analysis to environmentally sensitive growth: Case study of Belt and Road Initiative countries," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    6. Feng Dong & Xinqi Gao & Jingyun Li & Yuanqing Zhang & Yajie Liu, 2018. "Drivers of China’s Industrial Carbon Emissions: Evidence from Joint PDA and LMDI Approaches," IJERPH, MDPI, vol. 15(12), pages 1-28, December.
    7. Bo Peng & Rasa Melnikiene & Tomas Balezentis & Giulio Paolo Agnusdei, 2024. "Structural dynamics and sustainability in the agricultural sector: the case of the European Union," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 12(1), pages 1-27, December.
    8. Chen, Jiandong & Xu, Chong & Song, Malin & Deng, Xiangzheng & Shen, Zhiyang, 2022. "Towards sustainable development: Distribution effect of carbon-food nexus in Chinese cities," Applied Energy, Elsevier, vol. 309(C).
    9. Liu, Bingquan & Shi, Junxue & Wang, Hui & Su, Xuelin & Zhou, Peng, 2019. "Driving factors of carbon emissions in China: A joint decomposition approach based on meta-frontier," Applied Energy, Elsevier, vol. 256(C).
    10. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    11. Sueyoshi, Toshiyuki & Li, Aijun & Liu, Xiaohong, 2019. "Exploring sources of China's CO2 emission: Decomposition analysis under different technology changes," European Journal of Operational Research, Elsevier, vol. 279(3), pages 984-995.
    12. Kekui Chen & Jianming Fu & Yun Gong & Jian Wang & Shilin Lv & Yajie Liu & Jingyun Li, 2022. "Study on the Influencing Factors of CO 2 from the Perspective of CO 2 Mitigation Potentials," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    13. Hui Wang & Chen Pan & B.W. Ang & Peng Zhou, 2021. "Does Global Value Chain Participation Decouple Chinese Development from CO2 Emissions? A Structural Decomposition Analysis," The Energy Journal, , vol. 42(2), pages 183-204, March.
    14. Xu, Chong & Qin, Zengqiang & Chen, Jiandong & Zhang, Jiangxue, 2024. "Heterogeneous technology-induced global CO2 emission reduction and emission forecasting since the Kyoto era," Applied Energy, Elsevier, vol. 371(C).
    15. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    16. Wu, F. & Zhou, P. & Zhou, D.Q., 2020. "Modeling carbon emission performance under a new joint production technology with energy input," Energy Economics, Elsevier, vol. 92(C).
    17. Yun-Hsun Huang & Jung-Hua Wu & Hao-Syuan Huang, 2021. "Analyzing the Driving Forces behind CO 2 Emissions in Energy-Resource-Poor and Fossil-Fuel-Centered Economies: Case Studies from Taiwan, Japan, and South Korea," Energies, MDPI, vol. 14(17), pages 1-14, August.
    18. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    19. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    20. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    21. Huang, Yun-Hsun, 2020. "Examining impact factors of residential electricity consumption in Taiwan using index decomposition analysis based on end-use level data," Energy, Elsevier, vol. 213(C).

  43. H. Wang & Z. R. Liu & H. Y. Yoong & T. R. Paudel & J. X. Xiao & R. Guo & W. N. Lin & P. Yang & J. Wang & G. M. Chow & T. Venkatesan & E. Y. Tsymbal & H. Tian & J. S. Chen, 2018. "Direct observation of room-temperature out-of-plane ferroelectricity and tunneling electroresistance at the two-dimensional limit," Nature Communications, Nature, vol. 9(1), pages 1-8, December.

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    1. Yuanquan Huang & Qiqiao Wu & Tiancheng Gong & Jianguo Yang & Qing Luo & Ming Liu, 2025. "Bayesian neural network with unified entropy source and synapse weights using 3D 16-layer Fe-diode array," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    2. Chun-Hao Chiang & Chia-Chun Wei & Pai-Chia Kuo & Wei-Lun Hung & Yin-Cheng Lin & Li-Shu Wang & Chia-An Lung & Ting-Ran Liu & Zih-Wei Cyue & Jessie Shiue & Yen-Lin Huang & Jan-Chi Yang & Li-Hsien Yeh & , 2026. "Single symmetric nanopores in ultrathin crystalline ferroelectric BiFeO3 as polarization-switchable ionic diodes," Nature Communications, Nature, vol. 17(1), pages 1-10, December.

  44. Ang, B.W. & Wang, H. & Ma, Xiaojing, 2017. "Climatic influence on electricity consumption: The case of Singapore and Hong Kong," Energy, Elsevier, vol. 127(C), pages 534-543.

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    1. Li, Xian-Xiang, 2018. "Linking residential electricity consumption and outdoor climate in a tropical city," Energy, Elsevier, vol. 157(C), pages 734-743.
    2. Tian, Chuyin & Huang, Guohe & Piwowar, Joseph M. & Yeh, Shin-Cheng & Lu, Chen & Duan, Ruixin & Ren, Jiayan, 2022. "Stochastic RCM-driven cooling and heating energy demand analysis for residential building," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    3. Sen, Doruk & Günay, M. Erdem & Tunç, K.M. Murat, 2019. "Forecasting annual natural gas consumption using socio-economic indicators for making future policies," Energy, Elsevier, vol. 173(C), pages 1106-1118.
    4. Li, Meng & Zhang, Jing & Leng, Tiecheng, 2025. "Extreme high temperatures and corporate green innovation: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    5. Lanlan Li & Xinpei Song & Jingjing Li & Ke Li & Jianling Jiao, 2023. "The impacts of temperature on residential electricity consumption in Anhui, China: does the electricity price matter?," Climatic Change, Springer, vol. 176(3), pages 1-26, March.
    6. Luis Godoy-Vaca & E. Catalina Vallejo-Coral & Javier Martínez-Gómez & Marco Orozco & Geovanna Villacreses, 2021. "Predicted Medium Vote Thermal Comfort Analysis Applying Energy Simulations with Phase Change Materials for Very Hot-Humid Climates in Social Housing in Ecuador," Sustainability, MDPI, vol. 13(3), pages 1-31, January.
    7. Abdou Latif Bonkaney & Babatunde J. Abiodun & Ibrah Seidou Sanda & Ahmed A. Balogun, 2023. "Potential impact of global warming on electricity demand in Niger," Climatic Change, Springer, vol. 176(4), pages 1-22, April.
    8. Hsiao, Cody Yu-Ling & Chen, Hsing Hung, 2018. "The contagious effects on economic development after resuming construction policy for nuclear power plants in Coastal China," Energy, Elsevier, vol. 152(C), pages 291-302.
    9. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(C).
    10. Huang, Baofeng & Wang, Yeqing & Lu, Wensheng & Cheng, Meng, 2022. "Fabrication and energy efficiency of translucent concrete panel for building envelope," Energy, Elsevier, vol. 248(C).
    11. Chen Zhang & Hua Liao & Zhifu Mi, 2019. "Climate impacts: temperature and electricity consumption," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 99(3), pages 1259-1275, December.
    12. Hui Yun Rebecca Neo & Nyuk Hien Wong & Marcel Ignatius & Chao Yuan & Yong Xu & Kai Cao, 2023. "Spatial analysis of public residential housing's electricity consumption in relation to urban landscape and building characteristics: A case study in Singapore," Energy & Environment, , vol. 34(2), pages 233-254, March.
    13. Zhang, Jing & Li, Meng, 2024. "Compromise or struggle: Extreme temperatures and environmental corporate social responsibility in China," Economic Analysis and Policy, Elsevier, vol. 84(C), pages 1872-1894.
    14. Wang, Wei & Hong, Tianzhen & Li, Nan & Wang, Ryan Qi & Chen, Jiayu, 2019. "Linking energy-cyber-physical systems with occupancy prediction and interpretation through WiFi probe-based ensemble classification," Applied Energy, Elsevier, vol. 236(C), pages 55-69.
    15. Cansino, José M. & Dugo, Víctor & Román-Collado, Rocío & Ribbot, Elisset, 2025. "Determinants of electricity demand in Spain by climatic zones," Utilities Policy, Elsevier, vol. 95(C).
    16. Zhang, Yuejuan & Li, Xian-Xiang & Xin, Rui & Chew, Lup Wai & Liu, Chun-Ho, 2024. "Applicability of data-driven methods in modeling electricity demand-climate nexus: A tale of Singapore and Hong Kong," Energy, Elsevier, vol. 300(C).
    17. Yi, Fujin & Ye, Haijian & Wu, Ximing & Zhang, Y. Yvette & Jiang, Fei, 2020. "Self-aggravation effect of air pollution: Evidence from residential electricity consumption in China," Energy Economics, Elsevier, vol. 86(C).
    18. Zheng, Shuguang & Huang, Guohe & Zhou, Xiong & Zhu, Xiaohang, 2020. "Climate-change impacts on electricity demands at a metropolitan scale: A case study of Guangzhou, China," Applied Energy, Elsevier, vol. 261(C).
    19. Jiang, Lei & Yang, Yue & Wu, Qingyang & Yang, Linshuang & Yang, Zaoli, 2024. "Hotter days, dirtier air: The impact of extreme heat on energy and pollution intensity in China," Energy Economics, Elsevier, vol. 130(C).
    20. Jiang, Lei & Yang, Linshuang & Wu, Qingyang & Zhang, Xinyue, 2024. "How does extreme heat affect carbon emission intensity? Evidence from county-level data in China," Economic Modelling, Elsevier, vol. 139(C).
    21. Durmaz, Tunç & Pommeret, Aude & Tastan, Hüseyin, 2020. "Estimation of residential electricity demand in Hong Kong under electricity charge subsidies," Energy Economics, Elsevier, vol. 88(C).
    22. Yuanzheng Li & Wenjing Wang & Yating Wang & Yashu Xin & Tian He & Guosong Zhao, 2020. "A Review of Studies Involving the Effects of Climate Change on the Energy Consumption for Building Heating and Cooling," IJERPH, MDPI, vol. 18(1), pages 1-18, December.
    23. Dominković, D.F. & Dobravec, V. & Jiang, Y. & Nielsen, P.S. & Krajačić, G., 2018. "Modelling smart energy systems in tropical regions," Energy, Elsevier, vol. 155(C), pages 592-609.
    24. Kamal Chapagain & Somsak Kittipiyakul & Pisut Kulthanavit, 2020. "Short-Term Electricity Demand Forecasting: Impact Analysis of Temperature for Thailand," Energies, MDPI, vol. 13(10), pages 1-29, May.

  45. Ming Jiang & Haiyan Li & Yongchun Zhang & Ying Yang & Rong Lu & Kuancan Liu & Sijie Lin & Xiaopeng Lan & Haikun Wang & Han Wu & Jian Zhu & Zhongren Zhou & Jianming Xu & Dong-Kee Lee & Lanjing Zhang & , 2017. "Transitional basal cells at the squamous–columnar junction generate Barrett’s oesophagus," Nature, Nature, vol. 550(7677), pages 529-533, October.

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    1. Rodrigo A. Gier & Sydney A. Bracht & Jiazhen Rong & Raúl A. Reyes Hueros & Madison L. Wahlsten & Christopher Cote & Maureen DeMarshall & Tatiana A. Karakasheva & Alexandra Strauss Starling & Amanda B., 2025. "Clonal cell states link gastroesophageal junction tissues with metaplasia and cancer," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    2. Naveen Kumar & Pon Ganish Prakash & Christian Wentland & Shilpa Mary Kurian & Gaurav Jethva & Volker Brinkmann & Hans-Joachim Mollenkopf & Tobias Krammer & Christophe Toussaint & Antoine-Emmanuel Sali, 2024. "Decoding spatiotemporal transcriptional dynamics and epithelial fibroblast crosstalk during gastroesophageal junction development through single cell analysis," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    3. Louison Descampe & Benjamin Dassy & Fadi Charara & Ligia Craciun & Laurine Verset & Sheleya Pirard & Quentin Verheye & Morgane Leprovost & Marie Isabelle Garcia & Alizée Vercauteren Drubbel & Benjamin, 2026. "Intrinsic mechanisms and microenvironmental cues fine-tune plasticity of esophageal progenitors," Nature Communications, Nature, vol. 17(1), pages 1-21, December.
    4. Takeshi Katsuda & Jonathan H. Sussman & Kenji Ito & Andrew Katznelson & Salina Yuan & Naomi Takenaka & Jinyang Li & Allyson J. Merrell & Hector Cure & Qinglan Li & Reyaz Ur Rasool & Irfan A. Asangani , 2024. "Cellular reprogramming in vivo initiated by SOX4 pioneer factor activity," Nature Communications, Nature, vol. 15(1), pages 1-20, December.

  46. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.

    Cited by:

    1. Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
    2. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    3. Fernández-Amador, Octavio & Francois, Joseph & Oberdabernig, Doris & Tomberger, Patrick, 2022. "Energy footprints and the international trade network: A new dataset. Is the European Union doing it better?," Papers 1374, World Trade Institute.
    4. Xu, Chengzhen & Zhu, Qingyuan & Li, Xingchen & Wu, Liangpeng & Deng, Ping, 2024. "Determinants of global carbon emission and aggregate carbon intensity: A multi-region input−output approach," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 418-435.
    5. Li, Aijun & Zhou, Dinglin & Chen, Guoshi & Liu, Yuhao & Long, Yan, 2020. "Multi-region comparisons of energy-related CO2 emissions and production water use during energy development in northwestern China," Renewable Energy, Elsevier, vol. 153(C), pages 940-961.
    6. Min Wang & Yunbei Ma, 2024. "Spatial Heterogeneity and Clustering of County-Level Carbon Emissions in China," Sustainability, MDPI, vol. 16(23), pages 1-17, November.
    7. Meng Yang & Yisheng Liu & Jinzhao Tian & Feiyu Cheng & Pengbo Song, 2022. "Dynamic Evolution and Regional Disparity in Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    8. Young Yoon & Minyoung Yang & Jinsoo Kim, 2018. "An Analysis of CO 2 Emissions from International Transport and the Driving Forces of Emissions Change," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    9. Xiaojie Yu & Duminda Kuruppuarachchi & Sriyalatha Kumarasinghe, 2024. "Financial development, FDI, and CO2 emissions: does carbon pricing matter?," Applied Economics, Taylor & Francis Journals, vol. 56(25), pages 2959-2974, May.
    10. Lebunu Hewage Udara Willhelm Abeydeera & Jayantha Wadu Mesthrige & Tharushi Imalka Samarasinghalage, 2019. "Global Research on Carbon Emissions: A Scientometric Review," Sustainability, MDPI, vol. 11(14), pages 1-25, July.
    11. Jayasooriya, Sujith, 2021. "Impact of Agricultural Factors on Carbon Footprints for GHG Emission Policies in Asia," MPRA Paper 109790, University Library of Munich, Germany.
    12. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    13. Xiao, Bowen & Fan, Ying & Guo, Xiaodan, 2018. "Exploring the macroeconomic fluctuations under different environmental policies in China: A DSGE approach," Energy Economics, Elsevier, vol. 76(C), pages 439-456.
    14. Kaicheng Zhang & Kai Liu & Caihong Huang, 2024. "Cooperative Innovation Under the “Belt and Road Initiative” for Reducing Carbon Emissions: An Estimation Based on the Spatial Difference-in-Differences Model," Sustainability, MDPI, vol. 16(23), pages 1-32, November.
    15. Shi Wang & Hua Wang & Li Zhang & Jun Dang, 2019. "Provincial Carbon Emissions Efficiency and Its Influencing Factors in China," Sustainability, MDPI, vol. 11(8), pages 1-21, April.
    16. Kaltenegger, Oliver, 2019. "What drives total real unit energy costs globally? A novel LMDI decomposition approach," CAWM Discussion Papers 110, University of Münster, Münster Center for Economic Policy (MEP).
    17. Xiaolei Liu & Heng Chen & Cheng Peng & Mingqiu Li, 2022. "Assessing the Drivers of Carbon Intensity Change in China: A Dynamic Spatial–Temporal Production-Theoretical Decomposition Analysis Approach," Sustainability, MDPI, vol. 14(19), pages 1-18, September.
    18. Yu Sang Chang & Dosoung Choi & Hann Earl Kim, 2017. "Dynamic Trends of Carbon Intensities among 127 Countries," Sustainability, MDPI, vol. 9(12), pages 1-21, December.
    19. Ping Zhou & Hailing Li, 2022. "Carbon Emissions from Manufacturing Sector in Jiangsu Province: Regional Differences and Decomposition of Driving Factors," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    20. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    21. Abdul Rehman & Magdalena Radulescu & Hengyun Ma & Vishal Dagar & Imran Hussain & Muhammad Kamran Khan, 2021. "The Impact of Globalization, Energy Use, and Trade on Ecological Footprint in Pakistan: Does Environmental Sustainability Exist?," Energies, MDPI, vol. 14(17), pages 1-16, August.
    22. Song, Yaya & Huang, Xianjin & Li, Qianjing & Qi, Xinxian & Sun, Rui & Wang, Mingshu, 2025. "Unpacking China's land use and trade-driven land transfers through telecoupling," Land Use Policy, Elsevier, vol. 158(C).
    23. Mura, Matteo & Longo, Mariolina & Toschi, Laura & Zanni, Sara & Visani, Franco & Bianconcini, Silvia, 2021. "The role of geographical scales in sustainability transitions: An empirical investigation of the European industrial context," Ecological Economics, Elsevier, vol. 183(C).
    24. Sajid, M. Jawad & Cao, Qingren & Kang, Wei, 2019. "Transport sector carbon linkages of EU's top seven emitters," Transport Policy, Elsevier, vol. 80(C), pages 24-38.
    25. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    26. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    27. Tian, Kailan & Dietzenbacher, Erik & Yan, Bingqian & Duan, Yuwan, 2020. "Upgrading or downgrading: China's regional carbon emission intensity evolution and its determinants," Energy Economics, Elsevier, vol. 91(C).
    28. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Xue, Jin-Jun, 2019. "Changes in carbon intensity globally and in countries: Attribution and decomposition analysis," Applied Energy, Elsevier, vol. 235(C), pages 1492-1504.
    29. Su, Bin & Ang, B.W. & Li, Yingzhu, 2019. "Structural path and decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 83(C), pages 345-360.
    30. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    31. Yilmaz Bayar & Laura Diaconu (Maxim) & Andrei Maxim, 2020. "Financial Development and CO 2 Emissions in Post-Transition European Union Countries," Sustainability, MDPI, vol. 12(7), pages 1-15, March.
    32. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    33. Zhu, Qingyuan & Xu, Chengzhen & Lee, Chien-Chiang, 2024. "Trade-induced carbon-economic inequality within China: Measurement, sources, and determinants," Energy Economics, Elsevier, vol. 136(C).
    34. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    35. Liang, Junyi & Wang, Shaojian & Liao, Yuantao & Feng, Kuishuang, 2024. "Carbon emissions embodied in investment: Assessing emissions reduction responsibility through multi-regional input-output analysis," Applied Energy, Elsevier, vol. 358(C).
    36. Xin Xu & Yuming Shen & Hanchu Liu, 2022. "What Cause Large Spatiotemporal Differences in Carbon Intensity of Energy-Intensive Industries in China? Evidence from Provincial Data during 2000–2019," IJERPH, MDPI, vol. 19(16), pages 1-18, August.
    37. Duan, Yuwan & Yan, Bingqian, 2019. "Economic gains and environmental losses from international trade: A decomposition of pollution intensity in China's value-added trade," Energy Economics, Elsevier, vol. 83(C), pages 540-554.
    38. Wang, Jianda & Dong, Xiucheng & Dong, Kangyin, 2022. "How digital industries affect China's carbon emissions? Analysis of the direct and indirect structural effects," Technology in Society, Elsevier, vol. 68(C).
    39. Sun, Xudong & Cheng, Xuelei & Guan, Chenghe & Wu, Xiaofang & Zhang, Bo, 2022. "Economic drivers of global and regional CH4 emission growth from the consumption perspective," Energy Policy, Elsevier, vol. 170(C).
    40. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    41. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    42. Iman Faridmehr & Moncef L. Nehdi & Mehdi Nikoo & Kiyanets A. Valerievich, 2021. "Predicting Embodied Carbon and Cost Effectiveness of Post-Tensioned Slabs Using Novel Hybrid Firefly ANN," Sustainability, MDPI, vol. 13(21), pages 1-30, November.
    43. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    44. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    45. Meng Xu & Zhongfeng Qin & Yigang Wei, 2023. "Exploring the financing and allocating schemes for the Chinese Green Climate Fund," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(3), pages 2487-2508, March.
    46. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    47. Wenbin Shao & Fangyi Li & Zhaoyang Ye & Zhipeng Tang & Wu Xie & Yu Bai & Shanlin Yang, 2019. "Inter-Regional Spillover of Carbon Emissions and Employment in China: Is It Positive or Negative?," Sustainability, MDPI, vol. 11(13), pages 1-14, July.
    48. Oliver I. Inah & Fidelis I. Abam & Bethrand N. Nwankwojike, 2022. "Exploring the CO2 emissions drivers in the Nigerian manufacturing sector through decomposition analysis and the potential of carbon tax (CAT) policy on CO2 mitigation," Future Business Journal, Springer, vol. 8(1), pages 1-22, December.
    49. Duan, Yuwan & Yan, Bingqian, 2021. "Has processing trade made China's exports cleaner? A regional level analysis," Energy Economics, Elsevier, vol. 96(C).
    50. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).
    51. Jih-Shong Wu, 2023. "Measuring Economic Development and Carbon Dioxide Emissions Inefficiency," SAGE Open, , vol. 13(1), pages 21582440231, February.
    52. Jiang, Lei & He, Shixiong & Zhong, Zhangqi & Zhou, Haifeng & He, Lingyun, 2019. "Revisiting environmental kuznets curve for carbon dioxide emissions: The role of trade," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 245-257.
    53. Yu, Yan-Yan & Liang, Qiao-mei & Liu, Li-Jing, 2023. "Impact of population ageing on carbon emissions: A case of China's urban households," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 86-100.

  47. Wang, H. & Sánchez-Molina, J.A. & Li, M. & Berenguel, M. & Yang, X.T. & Bienvenido, J.F., 2017. "Leaf area index estimation for a greenhouse transpiration model using external climate conditions based on genetics algorithms, back-propagation neural networks and nonlinear autoregressive exogenous models," Agricultural Water Management, Elsevier, vol. 183(C), pages 107-115.

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    1. Achour, Yasmine & Ouammi, Ahmed & Zejli, Driss, 2021. "Technological progresses in modern sustainable greenhouses cultivation as the path towards precision agriculture," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    2. He, Zhihao & Li, Manning & Cai, Zelin & Zhao, Rongsheng & Hong, Tingting & Yang, Zhi & Zhang, Zhi, 2021. "Optimal irrigation and fertilizer amounts based on multi-level fuzzy comprehensive evaluation of yield, growth and fruit quality on cherry tomato," Agricultural Water Management, Elsevier, vol. 243(C).

  48. Haikun Wang & Yanxu Zhang & Hongyan Zhao & Xi Lu & Yanxia Zhang & Weimo Zhu & Chris P. Nielsen & Xin Li & Qiang Zhang & Jun Bi & Michael B. McElroy, 2017. "Trade-driven relocation of air pollution and health impacts in China," Nature Communications, Nature, vol. 8(1), pages 1-7, December.

    Cited by:

    1. Zhao Liu & Lan-Ye Wei, 2022. "Effects of ODI and export trade structure on CO2 emissions in China: nonlinear relationships," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13630-13656, December.
    2. Jing Shao & Nan Xiang & Yutong Zhang & Xiang Li & Guihua Liang, 2021. "Dynamic Simulation of Integrated Cleaner Production Strategies towards High Quality Development in a Heavily Air-Polluted City in China," Sustainability, MDPI, vol. 13(16), pages 1-17, August.
    3. Hehua Zhao & Hongwen Chen & Lei He, 2022. "Embodied Carbon Emissions and Regional Transfer Characteristics—Evidence from China," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    4. Rong Tang & Jing Zhao & Yifan Liu & Xin Huang & Yanxu Zhang & Derong Zhou & Aijun Ding & Chris P. Nielsen & Haikun Wang, 2022. "Air quality and health co-benefits of China’s carbon dioxide emissions peaking before 2030," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    5. Mudan Wang & Xianqiang Mao & Youkai Xing & Jianhong Lu & Peng Song & Zhengyan Liu & Zhi Guo & Kevin Tu & Eric Zusman, 2021. "Breaking down barriers on PV trade will facilitate global carbon mitigation," Nature Communications, Nature, vol. 12(1), pages 1-16, December.
    6. Liu, Yating & Fang, Delin & Chen, Bin, 2021. "Interregional spillover effect of PM2.5 emissions on Northeast China through the national supply chain," Applied Energy, Elsevier, vol. 303(C).
    7. Ling, Zaili & Huang, Tao & Li, Jixiang & Zhou, Sheng & Lian, Lulu & Wang, Jinxiang & Zhao, Yuan & Mao, Xiaoxuan & Gao, Hong & Ma, Jianmin, 2019. "Sulfur dioxide pollution and energy justice in Northwestern China embodied in West-East Energy Transmission of China," Applied Energy, Elsevier, vol. 238(C), pages 547-560.
    8. Keisuke Nansai & Susumu Tohno & Satoru Chatani & Keiichiro Kanemoto & Shigemi Kagawa & Yasushi Kondo & Wataru Takayanagi & Manfred Lenzen, 2021. "Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    9. Gang Li & Akihiko Yanase, 2022. "Trade, Resource Use and Pollution: A Synthesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(3), pages 861-901, November.
    10. Xu, Jiajun & Wang, Jinchao & Li, Rui & Yang, Xiaojun, 2023. "Spatio-temporal effects of urbanization on CO2 emissions: Evidences from 268 Chinese cities," Energy Policy, Elsevier, vol. 177(C).
    11. Zuo, Qiting & Zhang, Zhizhuo & Wu, Qingsong & Ji, Yihu & Ma, Junxia, 2025. "Revealing environmental inequality based on three-dimensional extended input-output analysis: An integrated perspective of embodied water consumption, fossil energy use and carbon emissions," Energy, Elsevier, vol. 330(C).
    12. Wang, Xin & Yang, Jianxun & Zhou, Qi & Liu, Miaomiao & Bi, Jun, 2022. "Mapping the exchange between embodied economic benefits and CO2 emissions among Belt and Road Initiative countries," Applied Energy, Elsevier, vol. 307(C).
    13. Fangjin Xu & Qingxu Huang & Huanbi Yue & Xingyun Feng & Haoran Xu & Chunyang He & Peng Yin & Brett A. Bryan, 2023. "The challenge of population aging for mitigating deaths from PM2.5 air pollution in China," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    14. Hui Wang & Guangxing Ji & Jisheng Xia, 2019. "Analysis of Regional Differences in Energy-Related PM 2.5 Emissions in China: Influencing Factors and Mitigation Countermeasures," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    15. Shiyuan Wang & Sumil Thakrar & Justin Johnson & Christopher W. Tessum, 2026. "International trade and air-quality-related mortality," Nature Communications, Nature, vol. 17(1), pages 1-13, December.
    16. Xiaofan Liu & Tian Liu, 2025. "The impact of trade openness on perceived income inequality: evidence from China," Empirical Economics, Springer, vol. 69(6), pages 3849-3887, December.
    17. Yao, Zhu & Gan, Mi & Wang, Li & Peng, Tao & Yu, Hao & Liu, Xiaobo, 2025. "Impact of carbon inequality embodied in interprovincial trade on National Road Freight Supply Chain Resilience," Journal of Transport Geography, Elsevier, vol. 128(C).

  49. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.

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    1. Sheng-Hsiung Chiu & Tzu-Yu Lin & Hai-Lan Yang, 2020. "Measuring Energy Performance for Regional Sustainable Development in China: A New Framework based on a Dynamic Two-Stage SBM Approach," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    2. Zhu, Lin & Luo, Jian & Dong, Qingli & Zhao, Yang & Wang, Yunyue & Wang, Yong, 2021. "Green technology innovation efficiency of energy-intensive industries in China from the perspective of shared resources: Dynamic change and improvement path," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Emre Akusta, 2025. "Comparative Analysis of OECD Countries Based on Energy Trilemma Index: A Clustering Approach," Papers 2512.00785, arXiv.org, revised Dec 2025.
    4. Manh Pham & Léopold Simar & Valentin Zelenyuk, 2024. "Statistical Inference for Aggregation of Malmquist Productivity Indices," Operations Research, INFORMS, vol. 72(4), pages 1615-1629, July.
    5. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    6. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    7. Wu, Haitao & Wang, Bingjie & Lu, Mingyue & Irfan, Muhammad & Miao, Xin & Luo, Shiyue & Hao, Yu, 2023. "The strategy to achieve zero‑carbon in agricultural sector: Does digitalization matter under the background of COP26 targets?," Energy Economics, Elsevier, vol. 126(C).
    8. Wei Yang & Zudi Lu & Di Wang & Yanmin Shao & Jinfeng Shi, 2020. "Sustainable Evolution of China’s Regional Energy Efficiency Based on a Weighted SBM Model with Energy Substitutability," Sustainability, MDPI, vol. 12(23), pages 1-22, December.
    9. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    10. Zhang, Lin & Adom, Philip Kofi, 2018. "Energy Efficiency Transitions in China: How persistent are the movements to/from the frontier?," MPRA Paper 94797, University Library of Munich, Germany.
    11. Lv, Yulan & Chen, Wei & Cheng, Jianquan, 2020. "Effects of urbanization on energy efficiency in China: New evidence from short run and long run efficiency models," Energy Policy, Elsevier, vol. 147(C).
    12. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    13. Ya Chen & Wei Xu & Qian Zhou & Zhixiang Zhou, 2020. "Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    14. Du, Minzhe & Wang, Bing & Zhang, Ning, 2018. "National research funding and energy efficiency: Evidence from the National Science Foundation of China," Energy Policy, Elsevier, vol. 120(C), pages 335-346.
    15. Tzu-Yu Lin & Sheng-Hsiung Chiu, 2018. "Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    16. Hongzhang Chen & Haiwen Yang, 2020. "Measurement and Structural Factors Influencing China’s Provincial Total-Factor Energy Efficiency Under Resource and Environmental Constraints," SAGE Open, , vol. 10(3), pages 21582440209, July.
    17. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
    18. Xuanzhi Yang & Zhaofang Zhang & Wei Luo & Zhen Tang & Xin Gao & Zhongchi Wan & Xin Zhang, 2019. "The Impact of Government Role on High-Quality Innovation Development in Mainland China," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    19. Yanhong Tang & Yingwen Chen & Rui Yang & Xin Miao, 2020. "The Unified Efficiency Evaluation of China’s Industrial Waste Gas Considering Pollution Prevention and End-Of-Pipe Treatment," IJERPH, MDPI, vol. 17(16), pages 1-27, August.
    20. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    21. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    22. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    23. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    24. Xi Chen & Mingzhe Pu & Yu Zhong, 2022. "Evaluating China Food’s Fertilizer Reduction and Efficiency Initiative Using a Double Stochastic Meta-Frontier Method," IJERPH, MDPI, vol. 19(12), pages 1-21, June.
    25. Shuai Shao & Zhenbing Yang & Lili Yang & Shuang Ma, 2019. "Can China’s Energy Intensity Constraint Policy Promote Total Factor Energy Efficiency? Evidence from the Industrial Sector," The Energy Journal, , vol. 40(4), pages 101-128, July.
    26. Takayabu, Hirotaka, 2020. "CO2 mitigation potentials in manufacturing sectors of 26 countries," Energy Economics, Elsevier, vol. 86(C).

  50. Asghar, M.I. & Zhang, J. & Wang, H. & Lund, P.D., 2017. "Device stability of perovskite solar cells – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 131-146.

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    1. Zhang, Jingyi & Chang, Nathan & Fagerholm, Cara & Qiu, Ming & Shuai, Ling & Egan, Renate & Yuan, Chris, 2022. "Techno-economic and environmental sustainability of industrial-scale productions of perovskite solar cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 158(C).
    2. Ghosh, Aritra & Sundaram, Senthilarasu & Mallick, Tapas K., 2019. "Colour properties and glazing factors evaluation of multicrystalline based semi-transparent Photovoltaic-vacuum glazing for BIPV application," Renewable Energy, Elsevier, vol. 131(C), pages 730-736.
    3. Ghosh, Aritra & Norton, Brian, 2018. "Advances in switchable and highly insulating autonomous (self-powered) glazing systems for adaptive low energy buildings," Renewable Energy, Elsevier, vol. 126(C), pages 1003-1031.
    4. Gracia-Amillo, Ana M. & Bardizza, Giorgio & Salis, Elena & Huld, Thomas & Dunlop, Ewan D., 2018. "Energy-based metric for analysis of organic PV devices in comparison with conventional industrial technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 76-89.
    5. Ghosh, Aritra & Sundaram, Senthilarasu & Mallick, Tapas K., 2018. "Investigation of thermal and electrical performances of a combined semi-transparent PV-vacuum glazing," Applied Energy, Elsevier, vol. 228(C), pages 1591-1600.
    6. Jayaraman, K. & Paramasivan, Lavinsaa & Kiumarsi, Shaian, 2017. "Reasons for low penetration on the purchase of photovoltaic (PV) panel system among Malaysian landed property owners," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 562-571.
    7. Ali, Nasir & Rauf, Sajid & Kong, Weiguang & Ali, Shahid & Wang, Xiaoyu & Khesro, Amir & Yang, Chang Ping & Zhu, Bin & Wu, Huizhen, 2019. "An overview of the decompositions in organo-metal halide perovskites and shielding with 2-dimensional perovskites," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 160-186.
    8. Zabed, Hossain M. & Islam, Jahidul & Chowdhury, Faisal I. & Zhao, Mei & Awasthi, Mukesh Kumar & Nizami, Abdul-Sattar & Uddin, Jamal & Thomas, Sabu & Qi, Xianghui, 2022. "Recent insights into heterometal-doped copper oxide nanostructure-based catalysts for renewable energy conversion and generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    9. Tarbi, A. & Erguig, H. & Sellam, M.A. & Zawadzka, A. & Marjanowska, A. & Migalska-Zalas, A. & Goncharova, I. & Myronchuk, G. & Kityk, A.V. & Sahraoui, B., 2026. "Diagnostics of the stability of CsPbX3 (X = I, Br, and Cl) inorganic halide perovskites for photovoltaic applications: An in-depth review with an original contribution on impedance characterization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 226(PA).

  51. Yan Lu & Haikun Wang & Qin’geng Wang & Yanyan Zhang & Yiyong Yu & Yu Qian, 2017. "Global anthropogenic heat emissions from energy consumption, 1965–2100," Climatic Change, Springer, vol. 145(3), pages 459-468, December.

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    1. Lu, Yan & Shao, Zheng & Lu, Hao, 2024. "Quantification of anthropogenic heat and simulation of its effects on environment and climate: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 204(C).
    2. Changwei Yuan & Dayong Wu & Hongchao Liu, 2017. "Using Grey Relational Analysis to Evaluate Energy Consumption, CO 2 Emissions and Growth Patterns in China’s Provincial Transportation Sectors," IJERPH, MDPI, vol. 14(12), pages 1-16, December.

  52. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.

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    1. Su, Bin & Ang, B.W. & Sun, Ya-Fang, 2022. "Input-output analysis of embodied emissions: Impacts of imports data treatment on emission drivers," Energy Economics, Elsevier, vol. 107(C).
    2. Jiang, Xueting, 2023. "Rapid decarbonization in the Chinese electric power sector and air pollution reduction Co-benefits in the Post-COP26 Era," Resources Policy, Elsevier, vol. 82(C).
    3. Li, Qiuping & Wu, Sanmang & Liu, Quanwen & Li, Shantong, 2024. "Role of global value chains in embodied domestic CO2 emissions of China's manufacturing exports: Normal and processing trade heterogeneity," Energy Economics, Elsevier, vol. 132(C).
    4. Jorge Cunha & Manuel Lopes Nunes & Fátima Lima, 2018. "Discerning the factors explaining the change in energy efficiency," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 20(1), pages 163-179, December.
    5. Zhu, Bangzhu & Su, Bin & Li, Yingzhu & Ng, Tsan Sheng, 2020. "Embodied energy and intensity in China’s (normal and processing) exports and their driving forces, 2005-2015," Energy Economics, Elsevier, vol. 91(C).
    6. Biondi, Beatrice & Castiglione, Concetta & Mazzocchi, Mario, 2021. "Demand drivers and changes in food-related emissions in the UK: A decomposition approach," Ecological Economics, Elsevier, vol. 188(C).
    7. Zaixun Jia & Xin Zhao, 2025. "Carbon emission reduction potential and driving factors of thermal power plants: Based on the combination of LMDI and DEA approach," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 30(1), pages 1-18, January.
    8. Yan Li & Yigang Wei & Hanxiao Xu & Huanwen Liu & Julien Chevallier, 2023. "Carbon monoxide and multi‐pollutants flow between China and India: A multiregional input–output model," The World Economy, Wiley Blackwell, vol. 46(8), pages 2514-2537, August.
    9. Yan Yan & Ancheng Pan & Chunyou Wu & Shusen Gui, 2019. "Factors Influencing Indirect Carbon Emission of Residential Consumption in China: A Case of Liaoning Province," Sustainability, MDPI, vol. 11(16), pages 1-22, August.
    10. Shimotsuura, Taiga, 2025. "A comprehensive structural decomposition analysis of CO2 emissions from vessels: A case study of Japan," Energy Economics, Elsevier, vol. 148(C).
    11. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    12. Zhang, Wei & Wang, Nan, 2021. "Decomposition of energy intensity in Chinese industries using an extended LMDI method of production element endowment," Energy, Elsevier, vol. 221(C).
    13. Fei Wang & Changlong Sun & Si Chen & Qiang Zhou & Changjian Wang, 2025. "Energy-Related Carbon Emissions in Mega City in Developing Country: Patterns and Determinants Revealed by Hong Kong," Sustainability, MDPI, vol. 17(15), pages 1-25, July.
    14. Wang, Juan & Hu, Mingming & Rodrigues, João F.D., 2018. "The evolution and driving forces of industrial aggregate energy intensity in China: An extended decomposition analysis," Applied Energy, Elsevier, vol. 228(C), pages 2195-2206.
    15. Li, Aijun & Zhou, Dinglin & Chen, Guoshi & Liu, Yuhao & Long, Yan, 2020. "Multi-region comparisons of energy-related CO2 emissions and production water use during energy development in northwestern China," Renewable Energy, Elsevier, vol. 153(C), pages 940-961.
    16. Goh, Tian & Ang, B.W., 2020. "Four reasons why there is so much confusion about energy efficiency," Energy Policy, Elsevier, vol. 146(C).
    17. Wenchao Li & Jian Xu & Zhengming Wang & Jialiang Yang, 2020. "The impact of LCTI on China's low-carbon transformation from the spatial spillover perspective," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-11, November.
    18. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    19. Wei Fan & Chunxia Zhu & Lijun Fu & Charbel Jose Chiappetta Jabbour & Zhiyang Shen & Malin Song, 2024. "Role of land use in China’s urban energy consumption: based on a deep clustering network and decomposition analysis," Annals of Operations Research, Springer, vol. 339(1), pages 835-859, August.
    20. Jiang, Xueting, 2022. "Drivers of air pollution reduction paradox: Empirical evidence from directly measured unit-level data of Chinese power plants," Energy, Elsevier, vol. 254(PB).
    21. Meng Yang & Yisheng Liu & Jinzhao Tian & Feiyu Cheng & Pengbo Song, 2022. "Dynamic Evolution and Regional Disparity in Carbon Emission Intensity in China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    22. Zhou, Xun & Kuosmanen, Timo, 2020. "What drives decarbonization of new passenger cars?," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1043-1057.
    23. Mohlin, Kristina & Camuzeaux, Jonathan R. & Muller, Adrian & Schneider, Marius & Wagner, Gernot, 2018. "Factoring in the forgotten role of renewables in CO2 emission trends using decomposition analysis," Energy Policy, Elsevier, vol. 116(C), pages 290-296.
    24. Sun, Ya-Fang & Yu, Shiwei & Zhang, Yue-Jun & Su, Bin, 2023. "How do imports change the energy consumption of China? An analysis of its role in intermediate inputs and final demands," Energy, Elsevier, vol. 270(C).
    25. Ninpanit, Panittra & Malik, Arunima & Wakiyama, Takako & Geschke, Arne & Lenzen, Manfred, 2019. "Thailand’s energy-related carbon dioxide emissions from production-based and consumption-based perspectives," Energy Policy, Elsevier, vol. 133(C).
    26. Lach, Łukasz, 2022. "Optimization based structural decomposition analysis as a tool for supporting environmental policymaking," Energy Economics, Elsevier, vol. 115(C).
    27. Meng, Guanfei & Liu, Hongxun & Li, Jianglong & Sun, Chuanwang, 2022. "Determination of driving forces for China's energy consumption and regional disparities using a hybrid structural decomposition analysis," Energy, Elsevier, vol. 239(PC).
    28. Ma, Xiaowei & Li, Chuandong & Kang, Qi & Chen, Danni & Sun, Qingyu, 2024. "Rural household nonagricultural income and energy transition: Evidence from central China," Energy Policy, Elsevier, vol. 188(C).
    29. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    30. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    31. Underwood, Anthony & Fremstad, Anders, 2018. "Does sharing backfire? A decomposition of household and urban economies in CO2 emissions," Energy Policy, Elsevier, vol. 123(C), pages 404-413.
    32. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    33. Xin-Cheng Meng & Yeon-Ho Seong & Min-Kyu Lee, 2021. "Research Characteristics and Development Trend of Global Low-Carbon Power—Based on Bibliometric Analysis of 1983–2021," Energies, MDPI, vol. 14(16), pages 1-20, August.
    34. Minda Ma & Liyin Shen & Hong Ren & Weiguang Cai & Zhili Ma, 2017. "How to Measure Carbon Emission Reduction in China’s Public Building Sector: Retrospective Decomposition Analysis Based on STIRPAT Model in 2000–2015," Sustainability, MDPI, vol. 9(10), pages 1-16, September.
    35. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    36. Román-Collado, Rocío & Colinet, Maria José, 2018. "Is energy efficiency a driver or an inhibitor of energy consumption changes in Spain? Two decomposition approaches," Energy Policy, Elsevier, vol. 115(C), pages 409-417.
    37. Bing Liu & Bailin He & Jiaxu Zhou & Xueyan Chen & Haiyan Duan & Zhiyuan Duan, 2024. "Driving Factors and Control Strategies of the Environmental Pollution Litigation Cases in China," Sustainability, MDPI, vol. 16(22), pages 1-13, November.
    38. Lin Liu & Heinz Schandl & James West & Meng Jiang & Zijian Ren & Dingjiang Chen & Bing Zhu, 2022. "Copper ore material footprints and transfers embodied in domestic and international trade of provinces in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1423-1436, August.
    39. Yang, Yafei & Zhou, Peng & Wang, Hui, 2026. "Carbon emissions from electricity consumption in interprovincial grids of China: An electricity-extended input-output analysis," Energy Policy, Elsevier, vol. 208(C).
    40. Su, Bin & Ang, B.W., 2023. "Structural decomposition analysis applied to energy and emissions: Frameworks for monthly data," Energy Economics, Elsevier, vol. 126(C).
    41. Feng, Tong & Du, Huibin & Zhang, Zengkai & Mi, Zhifu & Guan, Dabo & Zuo, Jian, 2020. "Carbon transfer within China: Insights from production fragmentation," Energy Economics, Elsevier, vol. 86(C).
    42. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    43. Junliang Yang & Haiyan Shan, 2019. "Identifying Driving Factors of Jiangsu’s Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method," IJERPH, MDPI, vol. 16(20), pages 1-20, October.
    44. Danyang Zhang & Kuishuang Feng & Peng Zhou & Hui Wang, 2024. "Determinants of the growing material footprints along the Belt and Road," Journal of Industrial Ecology, Yale University, vol. 28(4), pages 840-852, August.
    45. Román-Collado, Rocío & Ordoñez, Manuel & Mundaca, Luis, 2018. "Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption," Energy, Elsevier, vol. 162(C), pages 282-298.
    46. Guevara, Zeus & Henriques, SofiaTeives & Sousa, Tânia, 2021. "Driving factors of differences in primary energy intensities of 14 European countries," Energy Policy, Elsevier, vol. 149(C).
    47. Su, Bin & Ang, B.W., 2020. "Demand contributors and driving factors of Singapore’s aggregate carbon intensities," Energy Policy, Elsevier, vol. 146(C).
    48. Darío Serrano-Puente, 2021. "Are we moving towards an energy-efficient low-carbon economy? An input-output LMDI decomposition of CO2 emissions for Spain and the EU28," Working Papers 2104, Banco de España.
    49. Zhen Shi & Fengping Wu & Huinan Huang & Xinrui Sun & Lina Zhang, 2019. "Comparing Economics, Environmental Pollution and Health Efficiency in China," IJERPH, MDPI, vol. 16(23), pages 1-30, December.
    50. Yanan Wang & Jingxin Xie & Liwen Fu & Baljeet Singh, 2024. "Determinants of carbon emission: A multiple scale decomposition of Gansu Province," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-20, September.
    51. Di Peng & Haibin Liu, 2022. "Measurement and Driving Factors of Carbon Emissions from Coal Consumption in China Based on the Kaya-LMDI Model," Energies, MDPI, vol. 16(1), pages 1-19, December.
    52. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    53. Mikulić Davor, 2024. "Structural Decomposition of the Economic Growth in the Croatian Economy," Zagreb International Review of Economics and Business, Paradigm, vol. 27(2), pages 311-325.
    54. Tang, Songlin & Raza, Muhammad Yousaf & Lin, Boqiang, 2024. "Analysis of coal-related energy consumption, economic growth and intensity effects in Pakistan," Energy, Elsevier, vol. 292(C).
    55. Haidi Gao & Alun Gu & Gehua Wang & Fei Teng, 2019. "A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions," Energies, MDPI, vol. 12(15), pages 1-17, July.
    56. Yang, Xue & Su, Bin, 2019. "Impacts of international export on global and regional carbon intensity," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    57. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    58. Kirill Muradov, 2021. "Structural decomposition analysis with disaggregate factors within the Leontief inverse," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-17, December.
    59. Qingyou Yan & Yaxian Wang & Tomas Baležentis & Yikai Sun & Dalia Streimikiene, 2018. "Energy-Related CO 2 Emission in China’s Provincial Thermal Electricity Generation: Driving Factors and Possibilities for Abatement," Energies, MDPI, vol. 11(5), pages 1-25, April.
    60. Haobo Chen & Shangyu Liu & Yaoqiu Kuang & Jie Shu & Zetao Ma, 2023. "Decomposition Analysis of Regional Electricity Consumption Drivers Considering Carbon Emission Constraints: A Comparison of Guangdong and Yunnan Provinces in China," Energies, MDPI, vol. 16(24), pages 1-25, December.
    61. Su, Bin & Goh, Tian & Ang, B.W. & Ng, Tsan Sheng, 2022. "Energy consumption and energy efficiency trends in Singapore: The case of a meticulously planned city," Energy Policy, Elsevier, vol. 161(C).
    62. van Megen, Bram & Bürer, Meinrad & Patel, Martin K., 2019. "Comparing electricity consumption trends: A multilevel index decomposition analysis of the Genevan and Swiss economy," Energy Economics, Elsevier, vol. 83(C), pages 1-25.
    63. Araújo, Inácio Fernandes de & Jackson, Randall W. & Ferreira Neto, Amir B. & Perobelli, Fernando S., 2020. "European union membership and CO2 emissions: A structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 55(C), pages 190-203.
    64. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
    65. Fengmei Yang & Qiuli Lv, 2024. "Analysis of Energy-Related-CO 2 -Emission Decoupling from Economic Expansion and CO 2 Drivers: The Tianjin Experience in China," Sustainability, MDPI, vol. 16(22), pages 1-18, November.
    66. Nielsen, Hana & Warde, Paul & Kander, Astrid, 2018. "East versus West: Energy intensity in coal-rich Europe, 1800–2000," Energy Policy, Elsevier, vol. 122(C), pages 75-83.
    67. Chen, Shaoqing & Zhu, Feiyao & Long, Huihui & Yang, Jin, 2019. "Energy footprint controlled by urban demands: How much does supply chain complexity contribute?," Energy, Elsevier, vol. 183(C), pages 561-572.
    68. Yujia Xiao & Minggao Xue & Xiaoling Zhang, 2025. "Synergistic sectoral actions can accelerate carbon reduction in consumption‐intensive regions," Journal of Industrial Ecology, Yale University, vol. 29(5), pages 1718-1735, October.
    69. Yan, Junna & Li, Yingzhu & Su, Bin & Ng, Tsan Sheng, 2022. "Contributors and drivers of Chinese energy use and intensity from regional and demand perspectives, 2012-2015-2017," Energy Economics, Elsevier, vol. 115(C).
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    71. Rodrigues, João F.D. & Wang, Juan & Behrens, Paul & de Boer, Paul, 2020. "Drivers of CO2 emissions from electricity generation in the European Union 2000–2015," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
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    74. Peiyu Ma & Hewei Liu & Xingwang Zhang, 2025. "A Study on the Decoupling Effect and Driving Factors of Industrial Carbon Emissions in the Beibu Gulf City Cluster of China," Sustainability, MDPI, vol. 17(9), pages 1-17, April.
    75. Yan, Junna & Su, Bin, 2020. "Spatial differences in energy performance among four municipalities of China: From both the aggregate and final demand perspectives," Energy, Elsevier, vol. 204(C).
    76. Zhang, Junyi & Teng, Fei & Zhou, Shaojie, 2020. "The structural changes and determinants of household energy choices and energy consumption in urban China: Addressing the role of building type," Energy Policy, Elsevier, vol. 139(C).
    77. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    78. Changjian Wang & Fei Wang & Gengzhi Huang & Yang Wang & Xinlin Zhang & Yuyao Ye & Xiaojie Lin & Zhongwu Zhang, 2021. "Examining the Dynamics and Determinants of Energy Consumption in China’s Megacity Based on Industrial and Residential Perspectives," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
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    81. Rongrong Li & Rui Jiang, 2019. "Is carbon emission decline caused by economic decline? Empirical evidence from Russia," Energy & Environment, , vol. 30(4), pages 672-684, June.
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    92. Tatsuki Ueda, 2022. "Structural Decomposition Analysis of Japan’s Energy Transitions and Related CO2 Emissions in 2005–2015 Using a Hybrid Input-Output Table," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(4), pages 763-786, April.
    93. Emmanouil Hatzigeorgiou & Eleni Koilakou, 2025. "Decomposition analysis of energy-related CO2 emissions: an empirical study for selected EU economies," Environment Systems and Decisions, Springer, vol. 45(3), pages 1-12, September.
    94. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    95. Ma, Jia-Jun & Du, Gang & Xie, Bai-Chen, 2019. "CO2 emission changes of China's power generation system: Input-output subsystem analysis," Energy Policy, Elsevier, vol. 124(C), pages 1-12.
    96. Chuanguo Zhang & Pengyan Wu & Sirui Zhou, 2025. "Spatiotemporal Evolution and Influencing Factors of China’s Embodied Oil Flows: A Consumer-Side Perspective," Energies, MDPI, vol. 18(17), pages 1-21, August.
    97. Jiang, Xuemei & Guan, Dabo, 2017. "The global CO2 emissions growth after international crisis and the role of international trade," Energy Policy, Elsevier, vol. 109(C), pages 734-746.
    98. Guo, Shaobo & Cao, Fuguo, 2024. "Decomposition of factors affecting copper consumption in major countries in light of green economy and its trend characteristics," Resources Policy, Elsevier, vol. 98(C).
    99. Xia Li & Fengying Lu & Guangyao Deng, 2023. "Matching degree of embodied carbon trade and value-added trade among Chinese provinces (regions)," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-18, February.
    100. Wang, Zhen & Yan, Haoben & Gao, Xue & Liang, Qiaomei & Mi, Zhifu & Liu, Lancui, 2024. "Have consumption-based CO2 emissions in developed countries peaked?," Energy Policy, Elsevier, vol. 184(C).
    101. Liu, Yisheng & Yang, Meng & Cheng, Feiyu & Tian, Jinzhao & Du, Zhuoqun & Song, Pengbo, 2022. "Analysis of regional differences and decomposition of carbon emissions in China based on generalized divisia index method," Energy, Elsevier, vol. 256(C).
    102. Gobong Choi & Taeyoon Kim & Minchul Kim, 2021. "LMDI Decomposition Analysis of E-Waste Generation in the ASEAN," IJERPH, MDPI, vol. 18(23), pages 1-15, December.
    103. Goh, Tian & Zhong, Sheng & Ang, B.W. & Su, Bin & Ng, Szu Hui & Chai, Kah-Hin, 2021. "Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017," Energy Policy, Elsevier, vol. 154(C).
    104. Xianzhao Liu & Xu Yang & Ruoxin Guo, 2020. "Regional Differences in Fossil Energy-Related Carbon Emissions in China’s Eight Economic Regions: Based on the Theil Index and PLS-VIP Method," Sustainability, MDPI, vol. 12(7), pages 1-24, March.
    105. Liobikienė, Genovaitė & Miceikienė, Astrida & Brizga, Janis, 2021. "Decomposition analysis of bioresources: Implementing a competitive and sustainable bioeconomy strategy in the Baltic Sea Region," Land Use Policy, Elsevier, vol. 108(C).
    106. Rui Jiang & Peng Wu & Chengke Wu, 2022. "Driving Factors behind Energy-Related Carbon Emissions in the U.S. Road Transport Sector: A Decomposition Analysis," IJERPH, MDPI, vol. 19(4), pages 1-17, February.
    107. Ali Faridzad & Mahta Ghafarian Ghadim, 2023. "CO2 intensity decomposition analysis in the Netherlands' manufacturing industry: an application of monetary and physical indicators," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8799-8817, August.
    108. Wei Zhen & Quande Qin & Lei Jiang, 2022. "Heterogeneous Domestic Intermediate Input-Related Carbon Emissions in China’s Exports," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 453-479, March.
    109. Liu, Nan & Ma, Zujun & Kang, Jidong & Su, Bin, 2019. "A multi-region multi-sector decomposition and attribution analysis of aggregate carbon intensity in China from 2000 to 2015," Energy Policy, Elsevier, vol. 129(C), pages 410-421.
    110. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    111. Qiuping Li & Sanmang Wu & Qingshi Tu, 2024. "Delineating the embodied CO2 emissions in Canada's exports: Routes, drivers, and paths," Journal of Industrial Ecology, Yale University, vol. 28(4), pages 901-915, August.
    112. Zhu, Bangzhu & Su, Bin & Li, Yingzhu, 2018. "Input-output and structural decomposition analysis of India’s carbon emissions and intensity, 2007/08 – 2013/14," Applied Energy, Elsevier, vol. 230(C), pages 1545-1556.
    113. Jyrki Luukkanen & Jarmo Vehmas & Jari Kaivo-oja & Tadhg O’Mahony, 2024. "Towards a General Theory of Sustainable Development: Using a Sustainability Window Approach to Explore All Possible Scenario Paths of Economic Growth and Degrowth," Sustainability, MDPI, vol. 16(13), pages 1-31, June.
    114. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    115. Li, Yingzhu & Su, Bin, 2024. "Identification of the bias in embodied emissions flows and their sources," Energy Economics, Elsevier, vol. 136(C).
    116. Singh, Vijeta & Nerlekar, Varsha & Kumar, Jitendra, 2025. "Exploring the macroeconomic drivers to electric vehicles sales in India- A panel data-based approach," Transport Policy, Elsevier, vol. 174(C).
    117. Sou, Weng Sut & Goh, Tian & Lee, Xin Ni & Ng, Szu Hui & Chai, Kah-Hin, 2022. "Reducing the carbon intensity of international shipping – The impact of energy efficiency measures," Energy Policy, Elsevier, vol. 170(C).
    118. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    119. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    120. Kulionis, Viktoras & Wood, Richard, 2020. "Explaining decoupling in high income countries: A structural decomposition analysis of the change in energy footprint from 1970 to 2009," Energy, Elsevier, vol. 194(C).
    121. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    122. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    123. Fei Wang & Changjian Wang & Xiaojie Lin & Zeng Li & Changlong Sun, 2024. "County-Level Spatiotemporal Dynamics and Driving Mechanisms of Carbon Emissions in the Pearl River Delta Urban Agglomeration, China," Land, MDPI, vol. 13(11), pages 1-25, November.
    124. Darío Serrano-Puente, 2021. "Are we moving toward an energy-efficient low-carbon economy? An input–output LMDI decomposition of CO $$_{2}$$ 2 emissions for Spain and the EU28," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 151-229, June.
    125. Jianping Zha & Rong Fan & Yao Yao & Lamei He & Yuanyuan Meng, 2021. "Framework for accounting for tourism carbon emissions in China: An industrial linkage perspective," Tourism Economics, , vol. 27(7), pages 1430-1460, November.
    126. Zhao, Yiyi & Wu, Leying & Shi, Baojin & Zhang, Hongjuan & Miao, Changhong, 2026. "The influencing factors and scenario simulation of embodied carbon emissions in manufacturing trade in the Yellow River Basin: An analysis from the perspective of technological effects," Energy, Elsevier, vol. 342(C).
    127. Lu, Qinli & Fang, Kai & Heijungs, Reinout & Feng, Kuishuang & Li, Jiashuo & Wen, Qi & Li, Yanmei & Huang, Xianjin, 2020. "Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative," Applied Energy, Elsevier, vol. 280(C).
    128. Duan, Yuwan & Yan, Bingqian, 2021. "Has processing trade made China's exports cleaner? A regional level analysis," Energy Economics, Elsevier, vol. 96(C).
    129. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).
    130. Wang, Miao & Feng, Chao, 2018. "Using an extended logarithmic mean Divisia index approach to assess the roles of economic factors on industrial CO2 emissions of China," Energy Economics, Elsevier, vol. 76(C), pages 101-114.
    131. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.
    132. Guang, Fengtao & He, Yongxiu & Wen, Le & Sharp, Basil, 2019. "Energy intensity and its differences across China’s regions: Combining econometric and decomposition analysis," Energy, Elsevier, vol. 180(C), pages 989-1000.
    133. Chen, Qingjuan & Wang, Qunwei & Zhou, Dequn & Wang, Honggang, 2023. "Drivers and evolution of low-carbon development in China's transportation industry: An integrated analytical approach," Energy, Elsevier, vol. 262(PB).
    134. Yang, Yafei & Wang, Hui & Zhou, Peng, 2025. "The CO2 emission effects of global supply chain geographic restructuring on emerging economies," Energy Economics, Elsevier, vol. 143(C).
    135. Wei Sun & Yufei Hou & Lanjiang Guo, 2018. "Analyzing and Forecasting Energy Consumption in China’s Manufacturing Industry and Its Subindustries," Sustainability, MDPI, vol. 11(1), pages 1-26, December.
    136. Shichun Xu & Chang Gao & Yunfan Li & Xiaoxue Ma & Yifeng Zhou & Zhengxia He & Bin Zhao & Shuxiao Wang, 2019. "What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    137. Zhang, Shufan & Zhou, Nan & Feng, Wei & Ma, Minda & Xiang, Xiwang & You, Kairui, 2023. "Pathway for decarbonizing residential building operations in the US and China beyond the mid-century," Applied Energy, Elsevier, vol. 342(C).

  53. Jiang, Suqin & Chen, Zun & Shan, Li & Chen, Xinyu & Wang, Haikun, 2017. "Committed CO2 emissions of China's coal-fired power generators from 1993 to 2013," Energy Policy, Elsevier, vol. 104(C), pages 295-302.

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    2. Wang, Yongpei & Li, Jun, 2019. "Spatial spillover effect of non-fossil fuel power generation on carbon dioxide emissions across China's provinces," Renewable Energy, Elsevier, vol. 136(C), pages 317-330.
    3. Yousaf Ali & Awan Memoona & Claudio Socci & Sania Binte Saleem, 2019. "Can coal replace other fossil fuels to fulfil the energy demand in Pakistan? An environmental impact analysis," Asia-Pacific Journal of Regional Science, Springer, vol. 3(2), pages 293-318, June.

  54. Chao Song & Shi-Biao Zheng & Pengfei Zhang & Kai Xu & Libo Zhang & Qiujiang Guo & Wuxin Liu & Da Xu & Hui Deng & Keqiang Huang & Dongning Zheng & Xiaobo Zhu & H. Wang, 2017. "Continuous-variable geometric phase and its manipulation for quantum computation in a superconducting circuit," Nature Communications, Nature, vol. 8(1), pages 1-7, December.

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    1. Noah Goss & Alexis Morvan & Brian Marinelli & Bradley K. Mitchell & Long B. Nguyen & Ravi K. Naik & Larry Chen & Christian Jünger & John Mark Kreikebaum & David I. Santiago & Joel J. Wallman & Irfan S, 2022. "High-fidelity qutrit entangling gates for superconducting circuits," Nature Communications, Nature, vol. 13(1), pages 1-6, December.

  55. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.

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    1. Fernando Bermejo & Raúl del Pozo & Pablo Moya, 2021. "Main Factors Determining the Economic Production Sustained by Public Long-Term Care Spending in Spain," IJERPH, MDPI, vol. 18(17), pages 1-18, August.
    2. Mingyin Zhao & Yadong Ning & Shukuan Bai & Boya Zhang, 2024. "Embodied Carbon Transfer in China’s Bilateral Trade with Belt and Road Countries from the Perspective of Global Value Chains," Energies, MDPI, vol. 17(4), pages 1-16, February.
    3. Yacheng Zhou & Feiyu Liu & Weidong Huo & Changjiang Peng, 2024. "Does the “Belt and Road Initiative” benefit the environment? Insight from analysis of intra-industry trade in environment goods," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-22, April.
    4. Ling Yang & Michael L. Lahr, 2019. "The Drivers of China’s Regional Carbon Emission Change—A Structural Decomposition Analysis from 1997 to 2007," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    5. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    6. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    7. Su, Zhu & Li, Xin & Zhang, Zhuang & Peng, Zheng & Xu, Weihua & Zhang, Chang, 2025. "Analysis of energy-related carbon dioxide intensity in China's major non-ferrous metal producing regions: Spatio-temporal decomposition and emission reduction strategies," Energy, Elsevier, vol. 314(C).
    8. Xiao, Hao & Sun, Ke-Juan & Bi, Hui-Min & Meng, Bo, 2021. "Attribution of changes in an intensity index," Energy, Elsevier, vol. 216(C).
    9. Zhonghua Cheng & Xiai Shi, 2018. "Can Industrial Structural Adjustment Improve the Total-Factor Carbon Emission Performance in China?," IJERPH, MDPI, vol. 15(10), pages 1-20, October.
    10. Boratyński, Jakub, 2021. "Decomposing structural decomposition: The role of changes in individual industry shares," Energy Economics, Elsevier, vol. 103(C).
    11. Jianguo Zhou & Baoling Jin & Shijuan Du & Ping Zhang, 2018. "Scenario Analysis of Carbon Emissions of Beijing-Tianjin-Hebei," Energies, MDPI, vol. 11(6), pages 1-17, June.
    12. Yan, Junna & Su, Bin, 2020. "What drive the changes in China's energy consumption and intensity during 12th Five-Year Plan period?," Energy Policy, Elsevier, vol. 140(C).
    13. Hongyun Han & Shu Wu, 2018. "Structural Change and Its Impact on the Energy Intensity of Agricultural Sector in China," Sustainability, MDPI, vol. 10(12), pages 1-23, December.
    14. Yong Xiao & Cheng Yong & Wei Hu & Hanyun Wang, 2023. "Factors Influencing Carbon Emissions in High Carbon Industries in the Zhejiang Province and Decoupling Effect Analysis," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    15. Román-Collado, Rocío & Ordoñez, Manuel & Mundaca, Luis, 2018. "Has electricity turned green or black in Chile? A structural decomposition analysis of energy consumption," Energy, Elsevier, vol. 162(C), pages 282-298.
    16. Guevara, Zeus & Henriques, SofiaTeives & Sousa, Tânia, 2021. "Driving factors of differences in primary energy intensities of 14 European countries," Energy Policy, Elsevier, vol. 149(C).
    17. Wang, Qunwei & Hang, Ye & Su, Bin & Zhou, Peng, 2018. "Contributions to sector-level carbon intensity change: An integrated decomposition analysis," Energy Economics, Elsevier, vol. 70(C), pages 12-25.
    18. Jinghui Liu & Tingting Geng & Xingwei Wang & Guojin Qin, 2020. "Determinants of Oil Footprints Embodied in Sino-US Trade: A Perspective from the Globalizing World," Energies, MDPI, vol. 13(15), pages 1-26, July.
    19. Ping Zhou & Hailing Li, 2022. "Carbon Emissions from Manufacturing Sector in Jiangsu Province: Regional Differences and Decomposition of Driving Factors," Sustainability, MDPI, vol. 14(15), pages 1-17, July.
    20. Zha, Donglan & Yang, Guanglei & Wang, Qunwei, 2019. "Investigating the driving factors of regional CO2 emissions in China using the IDA-PDA-MMI method," Energy Economics, Elsevier, vol. 84(C).
    21. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    22. Haidi Gao & Alun Gu & Gehua Wang & Fei Teng, 2019. "A Structural Decomposition Analysis of China’s Consumption-Based Greenhouse Gas Emissions," Energies, MDPI, vol. 12(15), pages 1-17, July.
    23. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    24. Radwan, Amira & Hongyun, Han & Achraf, Abdelhak & Mustafa, Ahmed M., 2022. "Energy use and energy-related carbon dioxide emissions drivers in Egypt's economy: Focus on the agricultural sector with a structural decomposition analysis," Energy, Elsevier, vol. 258(C).
    25. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
    26. Wang, Zhenguo & Su, Bin & Xie, Rui & Long, Haiyu, 2020. "China’s aggregate embodied CO2 emission intensity from 2007 to 2012: A multi-region multiplicative structural decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    27. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    28. Su, Bin & Ang, B.W., 2022. "Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data," Energy Economics, Elsevier, vol. 113(C).
    29. Dequn Zhou & Xiao Liu & Peng Zhou & Qunwei Wang, 2017. "Decomposition Analysis of Aggregate Energy Consumption in China: An Exploration Using a New Generalized PDA Method," Sustainability, MDPI, vol. 9(5), pages 1-13, April.
    30. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    31. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    32. Huang, Fei & Zhou, Dequn & Wang, Qunwei & Hang, Ye, 2019. "Decomposition and attribution analysis of the transport sector’s carbon dioxide intensity change in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 343-358.
    33. Enkhjargal Enkhbat & Yong Geng & Xi Zhang & Huijuan Jiang & Jingyu Liu & Dong Wu, 2020. "Driving Forces of Air Pollution in Ulaanbaatar City Between 2005 and 2015: An Index Decomposition Analysis," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    34. Zhang, Danyang & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2021. "The changing role of global value chains in CO2 emission intensity in 2000–2014," Energy Economics, Elsevier, vol. 93(C).
    35. Peng Chen & Hanwen Wang & Mingxing Guo & Jianjun Wang & Sinan Cai & Min Li & Kaining Sun & Yukun Wang, 2022. "Decomposition Analysis of Regional Embodied Carbon Flow and Driving Factors—Taking Shanghai as an Example," Sustainability, MDPI, vol. 14(17), pages 1-16, September.
    36. Sun, Xudong & Cheng, Xuelei & Guan, Chenghe & Wu, Xiaofang & Zhang, Bo, 2022. "Economic drivers of global and regional CH4 emission growth from the consumption perspective," Energy Policy, Elsevier, vol. 170(C).
    37. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
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    39. Xu, Renfei & Chen, Liming & Zhao, Yuanyuan & Xie, Rui & Chen, Xiangjie, 2024. "Partner heterogeneity and driving factors of China's export embodied energy intensity," Energy, Elsevier, vol. 307(C).
    40. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    41. Muhammad Yousaf Raza & Yingchao Chen & Songlin Tang, 2022. "Assessing the Green R&D Investment and Patent Generation in Pakistan towards CO 2 Emissions Reduction with a Novel Decomposition Framework," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    42. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    43. Banie Naser Outchiri, 2020. "Contributing to better energy and environmental analyses: how accurate are decomposition analysis results?," Cahiers de recherche 20-11, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    44. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    45. Jiang, Meihui & An, Haizhong & Gao, Xiangyun & Liu, Donghui & Jia, Nanfei & Xi, Xian, 2020. "Consumption-based multi-objective optimization model for minimizing energy consumption: A case study of China," Energy, Elsevier, vol. 208(C).
    46. Jianping Zha & Rong Fan & Yao Yao & Lamei He & Yuanyuan Meng, 2021. "Framework for accounting for tourism carbon emissions in China: An industrial linkage perspective," Tourism Economics, , vol. 27(7), pages 1430-1460, November.
    47. Tong Zhao & Zhijie Song & Tianjiao Li, 2018. "Effect of innovation capacity, production capacity and vertical specialization on innovation performance in China's electronic manufacturing: Analysis from the supply and demand sides," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-23, July.
    48. Zhang, Xiaomei & Su, Bin & Yang, Jun & Cong, Jianhui, 2022. "Analysis of Shanxi Province's energy consumption and intensity using input-output framework (2002–2017)," Energy, Elsevier, vol. 250(C).
    49. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei, 2018. "How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis," Energy, Elsevier, vol. 151(C), pages 748-759.

  56. F. Zhu & H. K. Nguyen & S. X. Song & Daisman P. B. Aji & A. Hirata & H. Wang & K. Nakajima & M. W. Chen, 2016. "Intrinsic correlation between β-relaxation and spatial heterogeneity in a metallic glass," Nature Communications, Nature, vol. 7(1), pages 1-7, September.

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    2. Qiaochu Yang & Zhiyuan Xu & Xu Yue & Junqiu Long & Haopeng Wang & Yihan Zha & Furong Feng & Yang Ran & Bai-Ou Guan, 2025. "Kovacs-like memory effect mediated fiber Bragg grating: resembling a silica quipu," Nature Communications, Nature, vol. 16(1), pages 1-11, December.

  57. Li, C. & Sun, M. & Wang, Y. & Luo, L. & Yu, M. & Zhang, Y. & Wang, H. & Shi, P. & Chen, Z. & Wang, J. & Lu, Y. & Li, Q. & Wang, X. & Bi, Z. & Fan, M. & Fu, L. & Yu, J. & Hao, M., 2016. "The centers for disease control and prevention system in China: Trends from 2002-2012," American Journal of Public Health, American Public Health Association, vol. 106(12), pages 2093-2102.

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    3. Ollinger, Michael & Wilkus, James & Hrdlicka, Megan & Bovay, John, "undated". "Public Disclosure of Tests for Salmonella: The Effects on Food Safety Performance in Chicken Slaughter Establishments," Economic Research Report 262183, United States Department of Agriculture, Economic Research Service.
    4. Monica N. Wymann & Anne Spaar Zographos & Ekkehardt Altpeter & Virginie Masserey Spicher & Nicola Low & Mirjam Mäusezahl-Feuz, 2018. "Human papillomavirus vaccine uptake in adolescence and adherence to cervical cancer screening in Switzerland: a national cross-sectional survey," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(1), pages 105-114, January.
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  58. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

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    3. Kang, Duan, 2024. "The establishment of evaluation systems and an index for energy superpower," Applied Energy, Elsevier, vol. 356(C).
    4. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
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    11. Lizhan Cao & Zhongying Qi & Junxia Ren, 2017. "China’s Industrial Total-Factor Energy Productivity Growth at Sub-Industry Level: A Two-Step Stochastic Metafrontier Malmquist Index Approach," Sustainability, MDPI, vol. 9(8), pages 1-22, August.
    12. Angeliki N. Menegaki, 2021. "Towards a Global Energy-Sustainable Economy Nexus; Summing up Evidence from Recent Empirical Work," Energies, MDPI, vol. 14(16), pages 1-16, August.
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  59. Ji, Ling & Liang, Sai & Qu, Shen & Zhang, Yanxia & Xu, Ming & Jia, Xiaoping & Jia, Yingtao & Niu, Dongxiao & Yuan, Jiahai & Hou, Yong & Wang, Haikun & Chiu, Anthony S.F. & Hu, Xiaojun, 2016. "Greenhouse gas emission factors of purchased electricity from interconnected grids," Applied Energy, Elsevier, vol. 184(C), pages 751-758.

    Cited by:

    1. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    2. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    3. Ekaterina Shirinkina & Yuliya Mozzhegorova & Galina Ilinykh & Vladimir Korotaev, 2024. "Carbon Footprint of Electricity Produced in the Russian Federation," Energies, MDPI, vol. 18(1), pages 1-21, December.
    4. Kevin Nabor Paredes-Canencio & Ana Lasso & Rosaura Castrillon & Juan R. Vidal-Medina & Enrique C. Quispe, 2024. "Carbon footprint of higher education institutions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(12), pages 30239-30272, December.
    5. Le Ren & Sihong Cheng & Yali Tong & Yifeng Zhang & Fan Zhu & Yi Tian & Tao Yue, 2025. "Study on Carbon Emission Accounting Method System and Its Application in the Iron and Steel Industry," Sustainability, MDPI, vol. 17(9), pages 1-36, April.
    6. Zhangqi Zhong & Xu Zhang & Weina Gao, 2020. "Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications," IJERPH, MDPI, vol. 17(14), pages 1-24, July.
    7. Yuanzhi Ni & Min Zhang & Xiaoyong Qian & Genxiang Shen & Onesmus Mwabonje, 2025. "Anaerobic Digestion of Rice Straw as Profitable Climate Solution Reduces Paddy Field Greenhousegas Emissions and Produces Climate-Smart Fertilizer Under Carbon Trading Mechanisms," Sustainability, MDPI, vol. 17(6), pages 1-16, March.
    8. Zhou, Zhanhang & Zeng, Chen & Li, Keke & Yang, Yuemin & Zhao, Kuokuo & Wang, Zhen, 2024. "Decomposition of the decoupling between electricity CO2 emissions and economic growth: A production and consumption perspective," Energy, Elsevier, vol. 293(C).
    9. Ba, Shiyu & Hao, Junhong & Zhou, Jiahan & Shao, Chong & Cao, Jing & Liu, Hongtao & Yang, Yongping, 2026. "A spatial aggregation-based chronological production simulation model for the decarbonization pathway analysis of provincial power system," Energy, Elsevier, vol. 342(C).
    10. Yanfeng Li & Yongping Li & Guohe Huang & Rubing Zheng, 2022. "Inter-Provincial Electricity Trading and Its Effects on Carbon Emissions from the Power Industry," Energies, MDPI, vol. 15(10), pages 1-20, May.
    11. Feng Chen & Jingyu Lei & Zilong Liu & Xingchuang Xiong, 2025. "A Comparative Study on the Average CO 2 Emission Factors of Electricity of China," Energies, MDPI, vol. 18(3), pages 1-16, January.
    12. Mingyue Zhao & Yuqing Niu & Lei Tian & Yizhi Liu & Qiang Zhai, 2021. "Impact Measurement of COVID-19 Lockdown on China’s Electricity-Carbon Nexus," IJERPH, MDPI, vol. 18(18), pages 1-16, September.
    13. Li, Mingquan & Dai, Hancheng & Xie, Yang & Tao, Ye & Bregnbaek, Lars & Sandholt, Kaare, 2017. "Water conservation from power generation in China: A provincial level scenario towards 2030," Applied Energy, Elsevier, vol. 208(C), pages 580-591.
    14. Melchiorre Casisi & Stefano Costanzo & Piero Pinamonti & Mauro Reini, 2018. "Two-Level Evolutionary Multi-objective Optimization of a District Heating System with Distributed Cogeneration," Energies, MDPI, vol. 12(1), pages 1-23, December.
    15. Loprete, Jason & Trojanowski, Rebecca & Butcher, Thomas & Longtin, Jon & Assanis, Dimitris, 2024. "Enabling residential heating decarbonization through hydronic low-temperature thermal distribution using forced-air assistive devices," Applied Energy, Elsevier, vol. 353(PA).
    16. Zhang, Jinbo & Liu, Lirong & Xie, Yulei & Han, Dengcheng & Zhang, Yang & Li, Zheng & Guo, Huaicheng, 2023. "Revealing the impact of an energy–water–carbon nexus–based joint tax management policy on the environ-economic system," Applied Energy, Elsevier, vol. 331(C).
    17. Ling, Chen & Yang, Qing & Wang, Qingrui & Bartocci, Pietro & Jiang, Lei & Xu, Zishuo & Wang, Luyao, 2024. "A comprehensive consumption-based carbon accounting framework for power system towards low-carbon transition," Renewable and Sustainable Energy Reviews, Elsevier, vol. 206(C).
    18. Zhang, Pengfei & Cai, Wenqiu & Yao, Mingtao & Wang, Zhiyou & Yang, Luzhen & Wei, Wendong, 2020. "Urban carbon emissions associated with electricity consumption in Beijing and the driving factors," Applied Energy, Elsevier, vol. 275(C).
    19. Zhang, Chao & Zhong, Lijin & Liang, Sai & Sanders, Kelly T. & Wang, Jiao & Xu, Ming, 2017. "Virtual scarce water embodied in inter-provincial electricity transmission in China," Applied Energy, Elsevier, vol. 187(C), pages 438-448.
    20. Sun, Xiaocong & Ding, Yi & Bao, Minglei & Ouyang, Xinyu & Song, Yonghua & Zheng, Chenghang & Gao, Xiang, 2025. "Strategic bidding model for multi-energy industrial parks considering spatio-temporal carbon emission factors in carbon and electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 219(C).
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    24. Su, Chutian & Wang, Yi & Strbac, Goran, 2025. "Coordinated electric vehicles dispatch for multi-service provisions: A comprehensive review of modelling and coordination approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 223(C).

  60. Zhao, Hongyan & Zhang, Qiang & Huo, Hong & Lin, Jintai & Liu, Zhu & Wang, Haikun & Guan, Dabo & He, Kebin, 2016. "Environment-economy tradeoff for Beijing–Tianjin–Hebei’s exports," Applied Energy, Elsevier, vol. 184(C), pages 926-935.

    Cited by:

    1. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    2. Zhen, Wei & Zhong, Zhangqi & Wang, Yichen & Miao, Lu & Qin, Quande & Wei, Yi-Ming, 2019. "Evolution of urban household indirect carbon emission responsibility from an inter-sectoral perspective: A case study of Guangdong, China," Energy Economics, Elsevier, vol. 83(C), pages 197-207.
    3. Du, Huibin & Liu, Huiwen & Zhang, Zengkai, 2022. "The unequal exchange of air pollution and economic benefits embodied in Beijing-Tianjin-Hebei's consumption," Ecological Economics, Elsevier, vol. 195(C).
    4. Yi Zuo & Ying-ling Shi & Yu-zhuo Zhang, 2017. "Research on the Sustainable Development of an Economic-Energy-Environment (3E) System Based on System Dynamics (SD): A Case Study of the Beijing-Tianjin-Hebei Region in China," Sustainability, MDPI, vol. 9(10), pages 1-23, September.
    5. Cai, Bofeng & Guo, Huanxiu & Ma, Zipeng & Wang, Zhixuan & Dhakal, Shobhakar & Cao, Libin, 2019. "Benchmarking carbon emissions efficiency in Chinese cities: A comparative study based on high-resolution gridded data," Applied Energy, Elsevier, vol. 242(C), pages 994-1009.
    6. Zhenjie Zang & Hua Zhang & Huifang Liu & Jun Wang & Kealeboga Fredah Goetswang, 2019. "Study on the Impact of the Export of China’s Final Use Products on Domestic SO 2 Emissions," Sustainability, MDPI, vol. 11(20), pages 1-16, October.
    7. Liu, Gengyuan & Casazza, Marco & Tian, Xin & Zhang, Yan & Hao, Yan & Zhang, Lixiao & Liang, Sai & Giannetti, Biagio F., 2017. "Tracing the inter-regional coal flows and environmental impacts in Jing-Jin-Ji region," Ecological Modelling, Elsevier, vol. 364(C), pages 98-112.
    8. Sun, Xudong & Li, Jiashuo & Qiao, Han & Zhang, Bo, 2017. "Energy implications of China's regional development: New insights from multi-regional input-output analysis," Applied Energy, Elsevier, vol. 196(C), pages 118-131.
    9. Rui Huang & Klaus Hubacek & Kuishuang Feng & Xiaojie Li & Chao Zhang, 2018. "Re-Examining Embodied SO 2 and CO 2 Emissions in China," Sustainability, MDPI, vol. 10(5), pages 1-17, May.
    10. Xingang Zhao & Yuzhuo Zhang & Ji Liang & Yanbin Li & Rongda Jia & Ling Wang, 2018. "The Sustainable Development of the Economic-Energy-Environment (3E) System under the Carbon Trading (CT) Mechanism: A Chinese Case," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    11. Zhang, Zengkai & Lin, Jintai, 2018. "From production-based to consumption-based regional carbon inventories: Insight from spatial production fragmentation," Applied Energy, Elsevier, vol. 211(C), pages 549-567.
    12. Leying Wu & Zhangqi Zhong & Changxin Liu & Zheng Wang, 2017. "Examining PM 2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis," Sustainability, MDPI, vol. 9(5), pages 1-15, May.

  61. Xi Lu & Michael B. McElroy & Wei Peng & Shiyang Liu & Chris P. Nielsen & Haikun Wang, 2016. "Challenges faced by China compared with the US in developing wind power," Nature Energy, Nature, vol. 1(6), pages 1-6, June.

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    1. Kappil, Shine Raju & Aneja, Ranjan & Verma, Amandeep, 2024. "Developing a global sustainable electricity use index using the pressure-state-response framework," Utilities Policy, Elsevier, vol. 91(C).
    2. Fan, Zhixin & Zhu, Caichao, 2019. "The optimization and the application for the wind turbine power-wind speed curve," Renewable Energy, Elsevier, vol. 140(C), pages 52-61.
    3. Zhang, Haoran & Li, Ruixiong & Cai, Xingrui & Zheng, Chaoyue & Liu, Laibao & Liu, Maodian & Zhang, Qianru & Lin, Huiming & Chen, Long & Wang, Xuejun, 2022. "Do electricity flows hamper regional economic–environmental equity?," Applied Energy, Elsevier, vol. 326(C).
    4. Zhang, Shijie & Wei, Jing & Chen, Xi & Zhao, Yuhao, 2020. "China in global wind power development: Role, status and impact," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    5. Qi, Ye & Dong, Wenjuan & Dong, Changgui & Huang, Caiwei, 2019. "Understanding institutional barriers for wind curtailment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 476-486.
    6. Hu, Rui & Skea, Jim & Hannon, Matthew J., 2018. "Measuring the energy innovation process: An indicator framework and a case study of wind energy in China," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 227-244.
    7. Li, Aitong & Sun, Ying & Song, Xiaobin, 2023. "Gradual improvement and reactive intervention: China's policy pathway for developing the wind power industry," Renewable Energy, Elsevier, vol. 216(C).
    8. Momeni, Farhang & Sabzpoushan, Seyedali & Valizadeh, Reza & Morad, Mohammad Reza & Liu, Xun & Ni, Jun, 2019. "Plant leaf-mimetic smart wind turbine blades by 4D printing," Renewable Energy, Elsevier, vol. 130(C), pages 329-351.
    9. Wang, Dan & Hu, Qing'e & Jia, Hongjie & Hou, Kai & Du, Wei & Chen, Ning & Wang, Xudong & Fan, Menghua, 2019. "Integrated demand response in district electricity-heating network considering double auction retail energy market based on demand-side energy stations," Applied Energy, Elsevier, vol. 248(C), pages 656-678.
    10. Wang, Jinda & Zhou, Zhigang & Zhao, Jianing & Zheng, Jinfu, 2018. "Improving wind power integration by a novel short-term dispatch model based on free heat storage and exhaust heat recycling," Energy, Elsevier, vol. 160(C), pages 940-953.
    11. Peng, Wang & Jiang, Zhiqiang & Yao, Huaming & Lu, Jia & Xu, Yichao & Cao, Yutao & Wang, Tao, 2026. "Coupled optimization of hydropower and variable renewable energy (VRE) synergistically supported by physically-based stochastic scenarios and multi-load node control," Energy, Elsevier, vol. 346(C).
    12. Cheng, Qian & Liu, Pan & Feng, Maoyuan & Cheng, Lei & Ming, Bo & Xie, Kang & Yang, Zhikai & Zhang, Xiaojing & Zheng, Yalian & Ye, Hao, 2025. "Leveraging a deep learning model to improve mid- and long-term operations of hydro-wind-photovoltaic complementary systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 222(C).
    13. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    14. Yu, Chin-Hsien & Wu, Xiuqin & Lee, Wen-Chieh & Zhao, Jinsong, 2021. "Resource misallocation in the Chinese wind power industry: The role of feed-in tariff policy," Energy Economics, Elsevier, vol. 98(C).
    15. Yi Lin & Wei Lin & Wei Wu & Zhenshan Zhu, 2023. "Optimal Scheduling of Power Systems with High Proportions of Renewable Energy Accounting for Operational Flexibility," Energies, MDPI, vol. 16(14), pages 1-18, July.
    16. Song, Feng & Yu, Zichao & Zhuang, Weiting & Lu, Ao, 2021. "The institutional logic of wind energy integration: What can China learn from the United States to reduce wind curtailment?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    17. Changyi LIU & Rong ZHU & Yang WANG, 2017. "Economic Assessment and Policy Analysis on Wind Energy Development in China," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-17, December.
    18. Fridgen, Gilbert & Keller, Robert & Körner, Marc-Fabian & Schöpf, Michael, 2020. "A holistic view on sector coupling," Energy Policy, Elsevier, vol. 147(C).
    19. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
    20. Zhao, Xiaoli & Sun, Chuyu & Zhong, Zewei & Liu, Suwei & Yang, Zili, 2023. "Effect of market structure on renewable energy Development—A simulation study of a regional electricity market in China," Renewable Energy, Elsevier, vol. 215(C).
    21. Liu, Changyi & Wang, Yang & Zhu, Rong, 2017. "Assessment of the economic potential of China's onshore wind electricity," Resources, Conservation & Recycling, Elsevier, vol. 121(C), pages 33-39.
    22. Hayashi, Daisuke & Huenteler, Joern & Lewis, Joanna I., 2018. "Gone with the wind: A learning curve analysis of China's wind power industry," Energy Policy, Elsevier, vol. 120(C), pages 38-51.
    23. Zheng, Biao & Zhang, Yuquan W. & Yin, Haitao & Geng, Yong, 2021. "The limited role of stock market in financing new energy development in China: An investigation using firms’ high-frequency data," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 651-667.
    24. Liu, Laibao & Wang, Zheng & Wang, Yang & Wang, Jun & Chang, Rui & He, Gang & Tang, Wenjun & Gao, Ziqi & Li, Jiangtao & Liu, Changyi & Zhao, Lin & Qin, Dahe & Li, Shuangcheng, 2020. "Optimizing wind/solar combinations at finer scales to mitigate renewable energy variability in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    25. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Li, Xin & Chong, Daotong & Yan, Junjie, 2018. "Increasing operational flexibility of supercritical coal-fired power plants by regulating thermal system configuration during transient processes," Applied Energy, Elsevier, vol. 228(C), pages 2375-2386.
    26. Li, Junjie & Yan, Yulong & Wang, Yirong & Zhang, Yifu & Shao, Lianwei & Li, Menggang, 2024. "Spatial-successive transfer of virtual scarcity water along China's coal-based electric chain," Energy, Elsevier, vol. 288(C).
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    28. Cheng, Liang & Zhang, Fangli & Li, Shuyi & Mao, Junya & Xu, Hao & Ju, Weimin & Liu, Xiaoqiang & Wu, Jie & Min, Kaifu & Zhang, Xuedong & Li, Manchun, 2020. "Solar energy potential of urban buildings in 10 cities of China," Energy, Elsevier, vol. 196(C).
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    36. Yimei Wang & Yongqian Liu & Li Li & David Infield & Shuang Han, 2018. "Short-Term Wind Power Forecasting Based on Clustering Pre-Calculated CFD Method," Energies, MDPI, vol. 11(4), pages 1-19, April.
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    38. Chenghao Wang & Jiyun Song & Dachuan Shi & Janet L. Reyna & Henry Horsey & Sarah Feron & Yuyu Zhou & Zutao Ouyang & Ying Li & Robert B. Jackson, 2023. "Impacts of climate change, population growth, and power sector decarbonization on urban building energy use," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
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    40. Dongsheng Zheng & Dan Tong & Steven J. Davis & Yue Qin & Yang Liu & Ruochong Xu & Jin Yang & Xizhe Yan & Guannan Geng & Huizheng Che & Qiang Zhang, 2024. "Climate change impacts on the extreme power shortage events of wind-solar supply systems worldwide during 1980–2022," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
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  62. Yangyang Li & Yue Lu & Shuaiwei Wang & Zhijun Han & Fuxiang Zhu & Yingmeng Ni & Rui Liang & Yan Zhang & Qibin Leng & Gang Wei & Guochao Shi & Ruihong Zhu & Dan Li & Haikun Wang & Song Guo Zheng & Hong, 2016. "USP21 prevents the generation of T-helper-1-like Treg cells," Nature Communications, Nature, vol. 7(1), pages 1-10, December.

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  63. Wang, H. & Singhal, A., 2016. "East Los High:Transmedia edutainment to promote the sexual and reproductive health of young Latina/o Americans," American Journal of Public Health, American Public Health Association, vol. 106(6), pages 1002-1010.

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    2. Victor Orozco-Olvera & Fuyuan Shen & Lucie Cluver, 2019. "The effectiveness of using entertainment education narratives to promote safer sexual behaviors of youth: A meta-analysis, 1985-2017," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.

  64. Ang, B.W. & Su, Bin & Wang, H., 2016. "A spatial–temporal decomposition approach to performance assessment in energy and emissions," Energy Economics, Elsevier, vol. 60(C), pages 112-121.

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    1. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    2. Laporte, Juan P. & Román-Collado, Rocío & Cansino, José M., 2024. "Key driving forces of energy consumption in a higher education institution using the LMDI approach: The case of the Universidad Autónoma de Chile," Applied Energy, Elsevier, vol. 372(C).
    3. Chao Bao & Ruowen Liu, 2019. "Electricity Consumption Changes across China’s Provinces Using A Spatial Shift-Share Decomposition Model," Sustainability, MDPI, vol. 11(9), pages 1-15, April.
    4. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    5. Wei Fan & Chunxia Zhu & Lijun Fu & Charbel Jose Chiappetta Jabbour & Zhiyang Shen & Malin Song, 2024. "Role of land use in China’s urban energy consumption: based on a deep clustering network and decomposition analysis," Annals of Operations Research, Springer, vol. 339(1), pages 835-859, August.
    6. Fu, Yelin & Lai, Kin Keung & Yu, Lean, 2021. "Multi-nation comparisons of energy architecture performance: A group decision-making method with preference structure and acceptability analysis," Energy Economics, Elsevier, vol. 96(C).
    7. Bolin Yu & Debin Fang & Andrew N. Kleit & Kun Xiao, 2022. "Exploring the driving mechanism and the evolution of the low‐carbon economy transition: Lessons from OECD developed countries," The World Economy, Wiley Blackwell, vol. 45(9), pages 2766-2795, September.
    8. Román-Collado, Rocío & Morales-Carrión, Any Viviana, 2018. "Towards a sustainable growth in Latin America: A multiregional spatial decomposition analysis of the driving forces behind CO2 emissions changes," Energy Policy, Elsevier, vol. 115(C), pages 273-280.
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    13. Dhani Setyawan & Rakhmin Dyarto & Hadi Setiawan & Rita Helbra Tenrini & Sofia Arie Damayanty, 2020. "Examining the Driving Forces Affecting Energy Intensity during Financial Crisis: Evidence from ASEAN-6 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 71-81.
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    18. Chenjun Zhang & Teli Ma & Changfeng Shi & Yung-Ho Chiu, 2023. "Carbon emission from the electric power industry in Jiangsu province, China: Historical evolution and future prediction," Energy & Environment, , vol. 34(6), pages 1910-1936, September.
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    20. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    21. van Megen, Bram & Bürer, Meinrad & Patel, Martin K., 2019. "Comparing electricity consumption trends: A multilevel index decomposition analysis of the Genevan and Swiss economy," Energy Economics, Elsevier, vol. 83(C), pages 1-25.
    22. Chen, Jiandong & Xu, Chong & Shahbaz, Muhammad & Song, Malin, 2021. "Interaction determinants and projections of China’s energy consumption: 1997–2030," Applied Energy, Elsevier, vol. 283(C).
    23. Zhong, Sheng, 2018. "Structural decompositions of energy consumption between 1995 and 2009: Evidence from WIOD," Energy Policy, Elsevier, vol. 122(C), pages 655-667.
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    25. Jiang, Rui & Wu, Peng & Song, Yongze & Wu, Chengke & Wang, Peng & Zhong, Yun, 2022. "Factors influencing the adoption of renewable energy in the U.S. residential sector: An optimal parameters-based geographical detector approach," Renewable Energy, Elsevier, vol. 201(P1), pages 450-461.
    26. Wang, Qunwei & Zhang, Cheng & Cai, Wanhuan, 2017. "Factor substitution and energy productivity fluctuation in China: A parametric decomposition analysis," Energy Policy, Elsevier, vol. 109(C), pages 181-190.
    27. Wang, Shubin & Sun, Shaolong & Zhao, Erlong & Wang, Shouyang, 2021. "Urban and rural differences with regional assessment of household energy consumption in China," Energy, Elsevier, vol. 232(C).
    28. Zhang, Chenjun & Wu, Yusi & Yu, Yu, 2020. "Spatial decomposition analysis of water intensity in China," Socio-Economic Planning Sciences, Elsevier, vol. 69(C).
    29. Su, Bin & Ang, B.W., 2022. "Improved granularity in input-output analysis of embodied energy and emissions: The use of monthly data," Energy Economics, Elsevier, vol. 113(C).
    30. Chen, Jiandong & Xu, Chong & Song, Malin & Deng, Xiangzheng & Shen, Zhiyang, 2022. "Towards sustainable development: Distribution effect of carbon-food nexus in Chinese cities," Applied Energy, Elsevier, vol. 309(C).
    31. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    32. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    33. Huang, Chenchen & Lin, Boqiang, 2023. "Promoting decarbonization in the power sector: How important is digital transformation?," Energy Policy, Elsevier, vol. 182(C).
    34. Chen, Zhenni & Zhang, Zengkai & Feng, Tong & Liu, Diyi, 2023. "What drives the temporal dynamics and spatial differences of urban and rural household emissions in China?," Energy Economics, Elsevier, vol. 125(C).
    35. Shumin Zhang & Yongze Lv & Jian Xu & Baolei Zhang, 2023. "Exploring the Spatiotemporal Heterogeneity of Carbon Emission from Energy Consumption and Its Influencing Factors in the Yellow River Basin," Sustainability, MDPI, vol. 15(8), pages 1-16, April.
    36. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    37. Bingquan Liu & Yue Wang & Xuran Chang & Boyang Nie & Lingqi Meng & Yongqing Li, 2022. "Does Land Urbanization Affect the Catch-Up Effect of Carbon Emissions Reduction in China’s Logistics?," Land, MDPI, vol. 11(9), pages 1-18, September.
    38. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    39. Liu, Nan & Ma, Zujun & Kang, Jidong, 2017. "A regional analysis of carbon intensities of electricity generation in China," Energy Economics, Elsevier, vol. 67(C), pages 268-277.
    40. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
    41. Wang, Zhan & Deng, Xiangzheng, 2017. "The energy policy outlets for community acceptance of ecological investment in China," Energy Policy, Elsevier, vol. 107(C), pages 669-677.
    42. Fu, Yelin & Lu, Yihe & Yu, Chen & Lai, Kin Keung, 2022. "Inter-country comparisons of energy system performance with the energy trilemma index: An ensemble ranking methodology based on the half-quadratic theory," Energy, Elsevier, vol. 261(PA).
    43. Wang, H. & Zhou, P. & Xie, Bai-Chen & Zhang, N., 2019. "Assessing drivers of CO2 emissions in China's electricity sector: A metafrontier production-theoretical decomposition analysis," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1096-1107.
    44. Huang, Caihong & Zhang, Xiaoqing & Liu, Kai, 2021. "Effects of human capital structural evolution on carbon emissions intensity in China: A dual perspective of spatial heterogeneity and nonlinear linkages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    45. Román-Collado, Rocío & Cansino, José M. & Colinet, María J. & Dugo, Víctor, 2020. "A tool proposal to detect operating anomalies in the Spanish wholesale electricity market," Energy Policy, Elsevier, vol. 142(C).
    46. Darío Serrano-Puente, 2021. "Are we moving toward an energy-efficient low-carbon economy? An input–output LMDI decomposition of CO $$_{2}$$ 2 emissions for Spain and the EU28," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(2), pages 151-229, June.
    47. Azam, Muhammad & Younes, Ben Zaied & Hunjra, Ahmed Imran & Hussain, Nazim, 2022. "Integrated Spatial-Temporal decomposition analysis for life cycle assessment of carbon emission intensity change in various regions of China," Resources Policy, Elsevier, vol. 79(C).
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  66. Ang, B.W. & Wang, H., 2015. "Index decomposition analysis with multidimensional and multilevel energy data," Energy Economics, Elsevier, vol. 51(C), pages 67-76.

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    2. Ngo, Thanh Quang, 2021. "How do environmental regulations affect carbon emission and energy efficiency patterns? A provincial-level analysis of Chinese energy-intensive industries," MPRA Paper 109674, University Library of Munich, Germany.
    3. Felício, Laura & Henriques, Sofia Teives & Guevara, Zeus & Sousa, Tânia, 2024. "From electrification to decarbonization: Insights from Portugal's experience (1960–2016)," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
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    5. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    6. Hardt, Lukas & Owen, Anne & Brockway, Paul & Heun, Matthew K. & Barrett, John & Taylor, Peter G. & Foxon, Timothy J., 2018. "Untangling the drivers of energy reduction in the UK productive sectors: Efficiency or offshoring?," Applied Energy, Elsevier, vol. 223(C), pages 124-133.
    7. Yuhuan Zhao & Hao Li & Zhonghua Zhang & Yongfeng Zhang & Song Wang & Ya Liu, 2017. "Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 645-668, March.
    8. Li, Shuping & Meng, Jing & Hubacek, Klaus & Eskander, Shaikh M. S. U. & Li, Yuan & Chen, Peipei & Guan, Dabo, 2024. "Revisiting Copenhagen climate mitigation targets," LSE Research Online Documents on Economics 122815, London School of Economics and Political Science, LSE Library.
    9. Li, Aijun & Zhou, Dinglin & Chen, Guoshi & Liu, Yuhao & Long, Yan, 2020. "Multi-region comparisons of energy-related CO2 emissions and production water use during energy development in northwestern China," Renewable Energy, Elsevier, vol. 153(C), pages 940-961.
    10. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    11. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Multiplicative structural decomposition analysis of energy and emission intensities: Some methodological issues," Energy, Elsevier, vol. 123(C), pages 47-63.
    12. Huang, Yan & Zhang, Mengjiao & Wu, Nan & Lin, Jinhuang, 2025. "The drivers of forest carbon sink density changes in China under forest area heterogeneity: A production-theoretical decomposition analysis," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    13. Song, Yi & Huang, Jian-Bai & Feng, Chao, 2018. "Decomposition of energy-related CO2 emissions in China's iron and steel industry: A comprehensive decomposition framework," Resources Policy, Elsevier, vol. 59(C), pages 103-116.
    14. Ang, B.W. & Goh, Tian, 2019. "Index decomposition analysis for comparing emission scenarios: Applications and challenges," Energy Economics, Elsevier, vol. 83(C), pages 74-87.
    15. Avetisyan, Misak, 2018. "Impacts of global carbon pricing on international trade, modal choice and emissions from international transport," Energy Economics, Elsevier, vol. 76(C), pages 532-548.
    16. Yang, Xue & Xu, He & Su, Bin, 2022. "Factor decomposition for global and national aggregate energy intensity change during 2000–2014," Energy, Elsevier, vol. 254(PB).
    17. Wang, Miao & Feng, Chao, 2017. "Decomposition of energy-related CO2 emissions in China: An empirical analysis based on provincial panel data of three sectors," Applied Energy, Elsevier, vol. 190(C), pages 772-787.
    18. Norman, Jonathan B., 2017. "Measuring improvements in industrial energy efficiency: A decomposition analysis applied to the UK," Energy, Elsevier, vol. 137(C), pages 1144-1151.
    19. Forin, Silvia & Radebach, Alexander & Steckel, Jan Christoph & Ward, Hauke, 2018. "The effect of industry delocalization on global energy use: A global sectoral perspective," Energy Economics, Elsevier, vol. 70(C), pages 233-243.
    20. Mengru Song & Yanjun Wang & Cheng Wang & Walter Musakwa & Yiye Ji, 2024. "Spatial and Temporal Characteristics of Carbon Emissions from Construction Industry in China from 2010 to 2019," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
    21. Fei Wang & Changjian Wang & Yongxian Su & Lixia Jin & Yang Wang & Xinlin Zhang, 2017. "Decomposition Analysis of Carbon Emission Factors from Energy Consumption in Guangdong Province from 1990 to 2014," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    22. Lizhan Cao & Hui Wang, 2022. "The Slowdown in China’s Energy Consumption Growth in the “New Normal” Stage: From Both National and Regional Perspectives," Sustainability, MDPI, vol. 14(7), pages 1-21, April.
    23. Menghan Zhang & Suocheng Dong & Fujia Li & Shuangjie Xu & Kexin Guo & Qian Liu, 2022. "Spatial–Temporal Evolution and Improvement Measures of Embodied Carbon Emissions in Interprovincial Trade for Coal Energy Supply Bases: Case Study of Anhui, China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    24. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    25. van Megen, Bram & Bürer, Meinrad & Patel, Martin K., 2019. "Comparing electricity consumption trends: A multilevel index decomposition analysis of the Genevan and Swiss economy," Energy Economics, Elsevier, vol. 83(C), pages 1-25.
    26. Dilawar Khan & Muhammad Nouman & Arif Ullah, 2023. "Assessing the impact of technological innovation on technically derived energy efficiency: a multivariate co-integration analysis of the agricultural sector in South Asia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3723-3745, April.
    27. Nielsen, Hana & Warde, Paul & Kander, Astrid, 2018. "East versus West: Energy intensity in coal-rich Europe, 1800–2000," Energy Policy, Elsevier, vol. 122(C), pages 75-83.
    28. Raza, Muhammad Yousaf & Lin, Boqiang, 2023. "Future outlook and influencing factors analysis of natural gas consumption in Bangladesh: An economic and policy perspectives," Energy Policy, Elsevier, vol. 173(C).
    29. Balezentis, Tomas, 2020. "Shrinking ageing population and other drivers of energy consumption and CO2 emission in the residential sector: A case from Eastern Europe," Energy Policy, Elsevier, vol. 140(C).
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    31. Li, Jianglong & Sun, Shiqiang & Sharma, Disha & Ho, Mun Sing & Liu, Hongxun, 2023. "Tracking the drivers of global greenhouse gas emissions with spillover effects in the post-financial crisis era," Energy Policy, Elsevier, vol. 174(C).
    32. Wang, Miao & Feng, Chao, 2018. "Decomposing the change in energy consumption in China's nonferrous metal industry: An empirical analysis based on the LMDI method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2652-2663.
    33. Shuping Li & Jing Meng & Klaus Hubacek & Shaikh M. S. U. Eskander & Yuan Li & Peipei Chen & Dabo Guan, 2024. "Revisiting Copenhagen climate mitigation targets," Nature Climate Change, Nature, vol. 14(5), pages 468-475, May.
    34. Marco Vittorio Ecclesia & Tiago Domingos, 2024. "Understanding the Historical Trend of Final Energy Intensity of GDP During Economic Transitions: The Case of Portugal (1960–2014)," Energies, MDPI, vol. 17(22), pages 1-20, November.
    35. Zhang, Chi & Su, Bin & Zhou, Kaile & Sun, Yuan, 2020. "A multi-dimensional analysis on microeconomic factors of China's industrial energy intensity (2000–2017)," Energy Policy, Elsevier, vol. 147(C).
    36. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    37. Wang, H. & Ang, B.W. & Su, Bin, 2017. "Assessing drivers of economy-wide energy use and emissions: IDA versus SDA," Energy Policy, Elsevier, vol. 107(C), pages 585-599.
    38. Kekui Chen & Jianming Fu & Yun Gong & Jian Wang & Shilin Lv & Yajie Liu & Jingyun Li, 2022. "Study on the Influencing Factors of CO 2 from the Perspective of CO 2 Mitigation Potentials," Sustainability, MDPI, vol. 14(15), pages 1-22, July.
    39. H. Wang & B.W. Ang & P. Zhou, 2018. "Decomposing Aggregate CO2 Emission Changes with Heterogeneity: An Extended Production-theoretical Approach," The Energy Journal, , vol. 39(1), pages 59-80, January.
    40. Feng Dong & Jingyun Li & Yue-Jun Zhang & Ying Wang, 2018. "Drivers Analysis of CO 2 Emissions from the Perspective of Carbon Density: The Case of Shandong Province, China," IJERPH, MDPI, vol. 15(8), pages 1-24, August.
    41. H. Wang & Chen Pan & P. Zhou, 2019. "Assessing the Role of Domestic Value Chains in China’s CO2 Emission Intensity: A Multi-Region Structural Decomposition Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 865-890, October.
    42. Goh, Tian & Zhong, Sheng & Ang, B.W. & Su, Bin & Ng, Szu Hui & Chai, Kah-Hin, 2021. "Driving factors of changes in international maritime energy consumption: Microdata evidence 2014–2017," Energy Policy, Elsevier, vol. 154(C).
    43. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    44. Wang, H. & Ang, B.W., 2018. "Assessing the role of international trade in global CO2 emissions: An index decomposition analysis approach," Applied Energy, Elsevier, vol. 218(C), pages 146-158.
    45. Haize Pan & Chuan Liu & Jian He & Zhenhua Luo & Chengjin Wu & Jiayi Tan, 2026. "Timely achievement of carbon peak for China: evidence from major energy-consuming industries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(4), pages 9247-9278, April.
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    47. Wang, H. & Zhou, P., 2018. "Assessing Global CO2 Emission Inequality From Consumption Perspective: An Index Decomposition Analysis," Ecological Economics, Elsevier, vol. 154(C), pages 257-271.
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    50. Hanspeter Wieland & Dominik Wiedenhofer & Nina Eisenmenger & Takuma Watari & Stefan Giljum, 2025. "Assessing mining‐related land footprints of global steel use with a global physical input–output model," Journal of Industrial Ecology, Yale University, vol. 29(6), pages 1987-2004, December.
    51. Ecclesia, Marco Vittorio & Domingos, Tiago, 2026. "Constancy of useful exergy intensity is explained by weak countervailing forces: an Index Decomposition Analysis," Energy, Elsevier, vol. 342(C).
    52. Angelo Belliggiano & Eugenio Cejudo Garcia & Marilena Labianca & Francisco Navarro Valverde & Stefano De Rubertis, 2020. "The “Eco-Effectiveness” of Agritourism Dynamics in Italy and Spain: A Tool for Evaluating Regional Sustainability," Sustainability, MDPI, vol. 12(17), pages 1-25, August.
    53. Yang, Yafei & Wang, Hui & Löschel, Andreas & Zhou, Peng, 2022. "Patterns and determinants of carbon emission flows along the Belt and Road from 2005 to 2030," Ecological Economics, Elsevier, vol. 192(C).
    54. Fan, Wei & Li, Li & Wang, Feiran & Li, Ding, 2020. "Driving factors of CO2 emission inequality in China: The role of government expenditure," China Economic Review, Elsevier, vol. 64(C).
    55. Harmsen, Robert & Crijns-Graus, Wina, 2021. "Unhiding the role of CHP in power & heat sector decomposition analyses," Energy Policy, Elsevier, vol. 152(C).
    56. Di Zhang & Zhanqi Wang & Shicheng Li & Hongwei Zhang, 2021. "Impact of Land Urbanization on Carbon Emissions in Urban Agglomerations of the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 18(4), pages 1-20, February.

  67. Zhang, Yanxia & Wang, Haikun & Liang, Sai & Xu, Ming & Zhang, Qiang & Zhao, Hongyan & Bi, Jun, 2015. "A dual strategy for controlling energy consumption and air pollution in China's metropolis of Beijing," Energy, Elsevier, vol. 81(C), pages 294-303.

    Cited by:

    1. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.
    2. Feng, Xuning & Lu, Languang & Ouyang, Minggao & Li, Jiangqiu & He, Xiangming, 2016. "A 3D thermal runaway propagation model for a large format lithium ion battery module," Energy, Elsevier, vol. 115(P1), pages 194-208.
    3. Gonçalves, Rui & Ribeiro, Vitor Miguel, 2024. "Convolutional attention with roll padding: Classifying PM2.5 concentration levels in the city of Beijing," Energy, Elsevier, vol. 289(C).
    4. Gao, Yuan & Chong, Chin Hao & Liu, Gengyuan & Casazza, Marco & Xiong, Xiaoping & Liu, Bojie & Zhou, Xuanru & Zhou, Xiaoyong & Li, Zheng & Ni, Weidou & Hao, Yan & Ma, Linwei, 2024. "Identification of carbon responsibility factors based on energy consumption from 2005 to 2020 in China," Energy, Elsevier, vol. 296(C).
    5. Alicja Kolasa-Więcek & Dariusz Suszanowicz & Agnieszka A. Pilarska & Krzysztof Pilarski, 2021. "Modelling the Interaction between Air Pollutant Emissions and Their Key Sources in Poland," Energies, MDPI, vol. 14(21), pages 1-14, October.
    6. Han Sun & Chao Huang & Shan Ni, 2022. "Driving factors of consumption-based PM2.5 emissions in China: an application of the generalized Divisia index," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 10209-10231, August.
    7. Huang, He & Hong, Jingke & Wang, Xianzhu & Chang-Richards, Alice & Zhang, Jingxiao & Qiao, Bei, 2022. "A spatiotemporal analysis of the driving forces behind the energy interactions of the Chinese economy: Evidence from static and dynamic perspectives," Energy, Elsevier, vol. 239(PB).

  68. X. Wang & H. Wang & M. Hao & J. Li, 2015. "Effects of straw covering methods on runoff and soil erosion in summer maize field on the Loess Plateau of China," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 61(4), pages 176-181.

    Cited by:

    1. Akihiro Hamanaka & Takashi Sasaoka & Hideki Shimada & Shinji Matsumoto, 2019. "Experimental study on soil erosion under different soil composition using rainfall simulator," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 65(4), pages 181-188.

  69. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.

    Cited by:

    1. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    2. Giménez, Víctor & Thieme, Claudio & Prior, Diego & Tortosa-Ausina, Emili, 2022. "Evaluation and determinants of preschool effectiveness in Chile," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    3. Ying Li & Yung-ho Chiu & Tai-Yu Lin, 2019. "Research on New and Traditional Energy Sources in OECD Countries," IJERPH, MDPI, vol. 16(7), pages 1-21, March.
    4. Ishizaka, Alessio & Siraj, Sajid & Nemery, Philippe, 2016. "Which energy mix for the UK (United Kingdom)? An evolutive descriptive mapping with the integrated GAIA (graphical analysis for interactive aid)–AHP (analytic hierarchy process) visualization tool," Energy, Elsevier, vol. 95(C), pages 602-611.
    5. Ju, Keyi & Su, Bin & Zhou, Dequn & Zhou, P. & Zhang, Yuqiang, 2015. "Oil price crisis response: Capability assessment and key indicator identification," Energy, Elsevier, vol. 93(P2), pages 1353-1360.
    6. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    7. Mardani, Abbas & Zavadskas, Edmundas Kazimieras & Streimikiene, Dalia & Jusoh, Ahmad & Khoshnoudi, Masoumeh, 2017. "A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1298-1322.
    8. Khalid Mehmood & Yaser Iftikhar & Shouming Chen & Shaheera Amin & Alia Manzoor & Jinlong Pan, 2020. "Analysis of Inter-Temporal Change in the Energy and CO 2 Emissions Efficiency of Economies: A Two Divisional Network DEA Approach," Energies, MDPI, vol. 13(13), pages 1-17, June.
    9. José Antonio, Palomero-González & Vicent, Almenar-Llongo & Ramón, Fuentes-Pascual, 2022. "A composite indicator index as a proxy for measuring the quality of water supply as perceived by users for urban water services," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    10. Víctor Giménez & Diego Prior & Claudio Thieme & Emili Tortosa-Ausina, 2021. "International comparisons of the COVID-19 pandemic management: What can be learned from activity analysis techniques?," Working Papers 2021/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Gianluca Gucciardi, 2022. "Measuring the relative development and integration of EU countries’ capital markets using composite indicators and cluster analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 158(4), pages 1043-1083, November.
    12. Iftikhar, Yaser & Wang, Zhaohua & Zhang, Bin & Wang, Bo, 2018. "Energy and CO2 emissions efficiency of major economies: A network DEA approach," Energy, Elsevier, vol. 147(C), pages 197-207.
    13. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    14. Gunnarsdottir, I. & Davidsdottir, B. & Worrell, E. & Sigurgeirsdottir, S., 2020. "Review of indicators for sustainable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    15. Andrea De Montis & Vittorio Serra & Amedeo Ganciu & Antonio Ledda, 2020. "Assessing Landscape Fragmentation: A Composite Indicator," Sustainability, MDPI, vol. 12(22), pages 1-23, November.
    16. Patrick Gasser & Marco Cinelli & Anna Labijak & Matteo Spada & Peter Burgherr & Miłosz Kadziński & Božidar Stojadinović, 2020. "Quantifying Electricity Supply Resilience of Countries with Robust Efficiency Analysis," Energies, MDPI, vol. 13(7), pages 1-35, March.
    17. Indre Siksnelyte & Edmundas Kazimieras Zavadskas & Dalia Streimikiene & Deepak Sharma, 2018. "An Overview of Multi-Criteria Decision-Making Methods in Dealing with Sustainable Energy Development Issues," Energies, MDPI, vol. 11(10), pages 1-21, October.
    18. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali & Toloo, Mehdi & Ghazizadeh, Mohammad Sadegh, 2016. "Eco-efficiency considering the issue of heterogeneity among power plants," Energy, Elsevier, vol. 111(C), pages 722-735.
    19. Wang, H. & Ang, B.W. & Wang, Q.W. & Zhou, P., 2017. "Measuring energy performance with sectoral heterogeneity: A non-parametric frontier approach," Energy Economics, Elsevier, vol. 62(C), pages 70-78.
    20. Ying Li & Yung-ho Chiu & Liang Chun Lu, 2019. "New Energy Development and Pollution Emissions in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    21. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    22. Tianjiao Wang & Yelin Fu, 2020. "Constructing Composite Indicators with Individual Judgements and Best–Worst Method: An Illustration of Value Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 1-14, May.
    23. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

  70. Gu, Binxian & Wang, Haikun & Chen, Zun & Jiang, Suqin & Zhu, Weimo & Liu, Miaomiao & Chen, Yangqing & Wu, Yi & He, Sheng & Cheng, Rong & Yang, Jie & Bi, Jun, 2015. "Characterization, quantification and management of household solid waste: A case study in China," Resources, Conservation & Recycling, Elsevier, vol. 98(C), pages 67-75.

    Cited by:

    1. Steuer, Benjamin & Ramusch, Roland & Part, Florian & Salhofer, Stefan, 2017. "Analysis of the value chain and network structure of informal waste recycling in Beijing, China," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 137-150.
    2. Jinhui Liu & Qing Li & Wei Gu & Chen Wang, 2019. "The Impact of Consumption Patterns on the Generation of Municipal Solid Waste in China: Evidences from Provincial Data," IJERPH, MDPI, vol. 16(10), pages 1-19, May.
    3. Wang, Fei & Yu, Xiaohua, 2025. "Climate and household food waste in China," Food Policy, Elsevier, vol. 135(C).
    4. Xi Tian & Kexin Yuan & Huwei Wen & Ziqian Xia & Fei Peng & Dan Men & Guoen Wei & Yaobao Qian & Yaobin Liu, 2025. "IoT-based analysis reveals behavioral differences in public participation in low-value recyclables collection," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-15, December.
    5. Chol Daniel Deng Garang & John Leju Celestino Ladu & Yahya Ibrahim Said & Dr Akashraj Devanga, 2025. "Status of Financial Resources and Willingness to Pay for Solid Waste Management in Juba City, South Sudan," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(5), pages 2482-2503, May.
    6. Liu, Tingting & Wu, Yufeng & Tian, Xi & Gong, Yu, 2015. "Urban household solid waste generation and collection in Beijing, China," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 31-37.
    7. Xuemeng Zhang & Chao Liu & Yuexi Chen & Guanghong Zheng & Yinguang Chen, 2022. "Source separation, transportation, pretreatment, and valorization of municipal solid waste: a critical review," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(10), pages 11471-11513, October.
    8. Cheng, Xiu & Li, Wenbo & Yang, Jiameng & Zhang, Linling, 2023. "How convenience and informational tools shape waste separation behavior: A social network approach," Resources Policy, Elsevier, vol. 86(PB).
    9. Wei, Yunmei & Li, Jingyuan & Shi, Dezhi & Liu, Guotao & Zhao, Youcai & Shimaoka, Takayuki, 2017. "Environmental challenges impeding the composting of biodegradable municipal solid waste: A critical review," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 51-65.
    10. Shu Yang & Peng Cheng & Shanyong Wang & Jun Li, 2021. "Towards Sustainable Cities: The Spillover Effects of Waste-Sorting Policies on Sustainable Consumption," IJERPH, MDPI, vol. 18(20), pages 1-16, October.

  71. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.

    Cited by:

    1. Ran Wang & Hui Ci & Ting Zhang & Yuxin Tang & Jinyuan Wei & Hui Yang & Gefei Feng & Zhaojin Yan, 2023. "Spatial-Temporal Evolution Characteristics of Industrial Carbon Emissions in China’s Most Developed Provinces from 1998–2013: The Case of Guangdong," Energies, MDPI, vol. 16(5), pages 1-21, February.
    2. Mirza, Sultan Sikandar & Xu, Ninglu & Corbet, Shaen & Scrimgeour, Frank, 2025. "Green innovation under financial and policy uncertainty: Evidence from China," Research in International Business and Finance, Elsevier, vol. 76(C).
    3. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    4. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    5. Zhang, Yan & Li, Yaoguang & Hubacek, Klaus & Tian, Xin & Lu, Zhongming, 2019. "Analysis of CO2 transfer processes involved in global trade based on ecological network analysis," Applied Energy, Elsevier, vol. 233, pages 576-583.
    6. Wang, Jianxiao & An, Qi & Zhao, Yue & Pan, Guangsheng & Song, Jie & Hu, Qinran & Tan, Chin-Woo, 2023. "Role of electrolytic hydrogen in smart city decarbonization in China," Applied Energy, Elsevier, vol. 336(C).
    7. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    8. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    9. Du, Mingxi & Wang, Xiaoge & Peng, Changhui & Shan, Yuli & Chen, Huai & Wang, Meng & Zhu, Qiuan, 2018. "Quantification and scenario analysis of CO2 emissions from the central heating supply system in China from 2006 to 2025," Applied Energy, Elsevier, vol. 225(C), pages 869-875.
    10. Jun Dong & Dongran Liu & Dongxue Wang & Qi Zhang, 2019. "Identification of Key Influencing Factors of Sustainable Development for Traditional Power Generation Groups in a Market by Applying an Extended MCDM Model," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    11. Xueping Tao & Ping Wang & Bangzhu Zhu, 2016. "Measuring the Interprovincial CO 2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives," Sustainability, MDPI, vol. 8(6), pages 1-12, May.
    12. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    13. Li, Ke & Jiang, Zhujun, 2016. "The impacts of removing energy subsidies on economy-wide rebound effects in China: An input-output analysis," Energy Policy, Elsevier, vol. 98(C), pages 62-72.
    14. Luo, Zongwei & Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Hazen, Benjamin & Roubaud, David, 2017. "Sustainable production framework for cement manufacturing firms: A behavioural perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 78(C), pages 495-502.
    15. Karmellos, M. & Kosmadakis, V. & Dimas, P. & Tsakanikas, A. & Fylaktos, N. & Taliotis, C. & Zachariadis, T., 2021. "A decomposition and decoupling analysis of carbon dioxide emissions from electricity generation: Evidence from the EU-27 and the UK," Energy, Elsevier, vol. 231(C).
    16. Niu, Shuwen & Liu, Yiyue & Ding, Yongxia & Qu, Wei, 2016. "China׳s energy systems transformation and emissions peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 782-795.
    17. Jun Dong & Huijuan Huo, 2017. "Identification of Financing Barriers to Energy Efficiency in Small and Medium-Sized Enterprises by Integrating the Fuzzy Delphi and Fuzzy DEMATEL Approaches," Energies, MDPI, vol. 10(8), pages 1-26, August.
    18. Tong Zhang & Li Zhao & Chong Li, 2025. "The Impact of Green Taxation on Climate Change Mitigation Under Fiscal Decentralization: Evidence from China," Economies, MDPI, vol. 13(9), pages 1-23, September.
    19. Li, Hao & Zhao, Yuhuan & Qiao, Xiaoyong & Liu, Ya & Cao, Ye & Li, Yue & Wang, Song & Zhang, Zhonghua & Zhang, Yongfeng & Weng, Jianfeng, 2017. "Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models," Energy Economics, Elsevier, vol. 68(C), pages 522-538.
    20. Jun Dong & Huijuan Huo & Sen Guo, 2016. "Demand Side Management Performance Evaluation for Commercial Enterprises," Sustainability, MDPI, vol. 8(10), pages 1-23, October.
    21. Zhang, You & Yuan, Zengwei & Margni, Manuele & Bulle, Cécile & Hua, Hui & Jiang, Songyan & Liu, Xuewei, 2019. "Intensive carbon dioxide emission of coal chemical industry in China," Applied Energy, Elsevier, vol. 236(C), pages 540-550.
    22. Liang Liu & Lianshui Li, 2021. "The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2463-2486, July.

  72. S. J. Wang & H. Wang & K. Du & W. Zhang & M. L. Sui & S. X. Mao, 2014. "Deformation-induced structural transition in body-centred cubic molybdenum," Nature Communications, Nature, vol. 5(1), pages 1-9, May.

    Cited by:

    1. Yang Yang & Yumin Qian & Zhaoping Luo & Haijing Li & Lanlan Chen & Xumeng Cao & Shiqiang Wei & Bo Zhou & Zhenhua Zhang & Shuai Chen & Wenjun Yan & Juncai Dong & Li Song & Wenhua Zhang & Renfei Feng & , 2022. "Water induced ultrathin Mo2C nanosheets with high-density grain boundaries for enhanced hydrogen evolution," Nature Communications, Nature, vol. 13(1), pages 1-11, December.

  73. Zhang, Yanxia & Wang, Haikun & Liang, Sai & Xu, Ming & Liu, Weidong & Li, Shalang & Zhang, Rongrong & Nielsen, Chris P. & Bi, Jun, 2014. "Temporal and spatial variations in consumption-based carbon dioxide emissions in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 60-68.

    Cited by:

    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Temporal and Spatial Variations in Provincial CO 2 Emissions in China from 2005 to 2015 and Assessment of a Reduction Plan," Energies, MDPI, vol. 8(5), pages 1-23, May.
    3. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    4. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    5. Wang, Haikun & Zhang, Yanxia & Lu, Xi & Nielsen, Chris P. & Bi, Jun, 2015. "Understanding China׳s carbon dioxide emissions from both production and consumption perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 189-200.
    6. Zhang, Bo & Qiao, H. & Chen, B., 2015. "Embodied energy uses by China’s four municipalities: A study based on multi-regional input–output model," Ecological Modelling, Elsevier, vol. 318(C), pages 138-149.
    7. Zhang, B. & Qiao, H. & Chen, Z.M. & Chen, B., 2016. "Growth in embodied energy transfers via China’s domestic trade: Evidence from multi-regional input–output analysis," Applied Energy, Elsevier, vol. 184(C), pages 1093-1105.
    8. Jianbo Dong & Min Zhang & Guangbin Cheng, 2022. "Impacts of Upgrading of Consumption Structure and Human Capital Level on Carbon Emissions—Empirical Evidence Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    9. Shen, Weiguo & Cao, Liu & Li, Qiu & Zhang, Wensheng & Wang, Guiming & Li, Chaochao, 2015. "Quantifying CO2 emissions from China’s cement industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1004-1012.
    10. Yang Ding & Qing Yang & Lanjuan Cao, 2021. "Examining the Impacts of Economic, Social, and Environmental Factors on the Relationship between Urbanization and CO 2 Emissions," Energies, MDPI, vol. 14(21), pages 1-23, November.
    11. Min Huang & Yimin Chen & Yuanying Zhang, 2018. "Assessing Carbon Footprint and Inter-Regional Carbon Transfer in China Based on a Multi-Regional Input-Output Model," Sustainability, MDPI, vol. 10(12), pages 1-13, December.
    12. Qian Zhang & Jun Nakatani & Yuichi Moriguchi, 2015. "Compilation of an Embodied CO 2 Emission Inventory for China Using 135-Sector Input-Output Tables," Sustainability, MDPI, vol. 7(7), pages 1-17, June.
    13. Qingwei Shi & Jingxin Gao & Xia Wang & Hong Ren & Weiguang Cai & Haifeng Wei, 2020. "Temporal and Spatial Variability of Carbon Emission Intensity of Urban Residential Buildings: Testing the Effect of Economics and Geographic Location in China," Sustainability, MDPI, vol. 12(7), pages 1-23, March.
    14. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    15. Chen, Lei & Xu, Linyu & Yang, Zhifeng, 2019. "Inequality of industrial carbon emissions of the urban agglomeration and its peripheral cities: A case in the Pearl River Delta, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 438-447.
    16. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2020. "Who shapes China's carbon intensity and how? A demand-side decomposition analysis," Energy Economics, Elsevier, vol. 85(C).
    17. Xinlin Zhang & Yuan Zhao & Qi Sun & Changjian Wang, 2017. "Decomposition and Attribution Analysis of Industrial Carbon Intensity Changes in Xinjiang, China," Sustainability, MDPI, vol. 9(3), pages 1-16, March.
    18. Shi, Kaifang & Yu, Bailang & Zhou, Yuyu & Chen, Yun & Yang, Chengshu & Chen, Zuoqi & Wu, Jianping, 2019. "Spatiotemporal variations of CO2 emissions and their impact factors in China: A comparative analysis between the provincial and prefectural levels," Applied Energy, Elsevier, vol. 233, pages 170-181.
    19. Wang, Heming & Wang, Guoqiang & Qi, Jianchuan & Schandl, Heinz & Li, Yumeng & Feng, Cuiyang & Yang, Xuechun & Wang, Yao & Wang, Xinzhe & Liang, Sai, 2020. "Scarcity-weighted fossil fuel footprint of China at the provincial level," Applied Energy, Elsevier, vol. 258(C).
    20. Zhang, Bo & Yang, T.R. & Chen, B. & Sun, X.D., 2016. "China’s regional CH4 emissions: Characteristics, interregional transfer and mitigation policies," Applied Energy, Elsevier, vol. 184(C), pages 1184-1195.
    21. Zhang, Wen-Wen & Zhao, Bin & Ding, Dian & Sharp, Basil & Gu, Yu & Xu, Shi-Chun & Xing, Jia & Wang, Shu-Xiao & Liou, Kuo-Nan & Rao, Lan-Lan, 2021. "Co-benefits of subnationally differentiated carbon pricing policies in China: Alleviation of heavy PM2.5 pollution and improvement in environmental equity," Energy Policy, Elsevier, vol. 149(C).
    22. Guo, Sen & Zhao, Huiru, 2015. "Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective," Applied Energy, Elsevier, vol. 158(C), pages 390-402.
    23. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    24. Ji Zheng & Yingjie Hu & Suocheng Dong & Yu Li, 2019. "The Spatiotemporal Pattern of Decoupling Transport CO 2 Emissions from Economic Growth across 30 Provinces in China," Sustainability, MDPI, vol. 11(9), pages 1-18, May.

  74. Wang, Hongsheng & Wang, Yunxia & Wang, Haikun & Liu, Miaomiao & Zhang, Yanxia & Zhang, Rongrong & Yang, Jie & Bi, Jun, 2014. "Mitigating greenhouse gas emissions from China's cities: Case study of Suzhou," Energy Policy, Elsevier, vol. 68(C), pages 482-489.

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    1. Vera, Sonia & Sauma, Enzo, 2015. "Does a carbon tax make sense in countries with still a high potential for energy efficiency? Comparison between the reducing-emissions effects of carbon tax and energy efficiency measures in the Chilean case," Energy, Elsevier, vol. 88(C), pages 478-488.
    2. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    3. Jinying Li & Jianfeng Shi & Jinchao Li, 2016. "Exploring Reduction Potential of Carbon Intensity Based on Back Propagation Neural Network and Scenario Analysis: A Case of Beijing, China," Energies, MDPI, vol. 9(8), pages 1-17, August.
    4. Wang, Lianghu & Wang, Zhao & Ma, Yatian, 2022. "Does environmental regulation promote the high-quality development of manufacturing? A quasi-natural experiment based on China's carbon emission trading pilot scheme," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    5. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    6. Zhang, Pingdan & Yuan, Haoming & Bai, Fuli & Tian, Xin & Shi, Feng, 2018. "How do carbon dioxide emissions respond to industrial structural transitions? Empirical results from the northeastern provinces of China," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 145-154.
    7. Briones Hidrovo, Andrei & Uche, Javier & Martínez-Gracia, Amaya, 2017. "Accounting for GHG net reservoir emissions of hydropower in Ecuador," Renewable Energy, Elsevier, vol. 112(C), pages 209-221.
    8. Fei Wang & Changjian Wang & Yongxian Su & Lixia Jin & Yang Wang & Xinlin Zhang, 2017. "Decomposition Analysis of Carbon Emission Factors from Energy Consumption in Guangdong Province from 1990 to 2014," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    9. Feng, Tong & Lin, Zhongguo & Du, Huibin & Qiu, Yueming & Zuo, Jian, 2021. "Does low-carbon pilot city program reduce carbon intensity? Evidence from Chinese cities," Research in International Business and Finance, Elsevier, vol. 58(C).
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    12. Jiang, Jingjing & Ye, Bin & Xie, Dejun & Li, Ji & Miao, Lixin & Yang, Peng, 2017. "Sector decomposition of China’s national economic carbon emissions and its policy implication for national ETS development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 855-867.
    13. Vicente Sebastian Espinoza & Veronica Guayanlema & Javier Mart nez-G mez, 2018. "Energy Efficiency Plan Benefits in Ecuador: Long-range Energy Alternative Planning Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(4), pages 52-54.
    14. Liu, Feng & van den Bergh, Jeroen C.J.M., 2020. "Differences in CO2 emissions of solar PV production among technologies and regions: Application to China, EU and USA," Energy Policy, Elsevier, vol. 138(C).
    15. Zhang, Wei & Li, Ke & Zhou, Dequn & Zhang, Wenrui & Gao, Hui, 2016. "Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method," Energy Policy, Elsevier, vol. 92(C), pages 369-381.

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    2. Li, Xin & Wu, Haotian & Scoglio, Caterina & Gruenbacher, Don, 2015. "Robust allocation of weighted dependency links in cyber–physical networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 433(C), pages 316-327.
    3. Rueda, Diego F. & Calle, Eusebi, 2017. "Using interdependency matrices to mitigate targeted attacks on interdependent networks: A case study involving a power grid and backbone telecommunications networks," International Journal of Critical Infrastructure Protection, Elsevier, vol. 16(C), pages 3-12.
    4. Gafarov, F.M., 2016. "Emergence of the small-world architecture in neural networks by activity dependent growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 409-418.

  76. Wang, H. & Steffen, L.M. & Zhou, X. & Harnack, L. & Luepker, R.V., 2013. "Consistency between increasing trends in added-sugar intake and body mass index among adults: The Minnesota Heart Survey, 1980-1982 to 2007-2009," American Journal of Public Health, American Public Health Association, vol. 103(3), pages 501-507.

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    2. Katarzyna Gabiec & Joanna Bagińska & Wojciech Łaguna & Ewa Rodakowska & Inga Kamińska & Zofia Stachurska & Marlena Dubatówka & Marcin Kondraciuk & Karol Adam Kamiński, 2022. "Factors Associated with Tooth Loss in General Population of Bialystok, Poland," IJERPH, MDPI, vol. 19(4), pages 1-12, February.

  77. H. Wang & S. Wu & J. Shi & B. Li, 2013. "Qualitative hazard and risk assessment of landslides: a practical framework for a case study in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1281-1294, December.

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    2. Zongxiang Xiu & Qiang Xu & Zhigang Shan & Yongfu Sun & QiuHong Xie & Yupeng Song, 2021. "Improved group decision-making evaluation method of offshore pipeline routing optimisation in submarine landslide-prone area," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 108(2), pages 2225-2248, September.
    3. Dian Nuraini Melati & Astisiasari Astisiasari & Raditya Panji Umbara & Wisyanto Wisyanto & Sukristiyanti Sukristiyanti & Yukni Arifianti & Syakira Trisnafiah & Trinugroho Trinugroho & Taufik Iqbal Ram, 2025. "Quantitative landslide risk analysis with limited dataset by leveraging geospatial approaches in Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(17), pages 20453-20487, October.
    4. Naseem Ahmad & Muhammad Shafique & Mian Luqman Hussain & Munawar Shah & Punyawi Jamjareegulgarn & Nassir Saad Alarifi & Mostafa R. Abukhadra, 2025. "Integrated landslide risk assessment utilizing open source satellite and ground data in the Himalayas of Northern Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 121(13), pages 15751-15787, July.
    5. Haibo Tian & Pinglang Kou & Qiang Xu & Yuxiang Tao & Zhao Jin & Ying Xia & Jiangfan Feng & Rui Liu & Yongcheng Gou, 2024. "Analysis of landslide deformation in eastern Qinghai Province, Northwest China, using SBAS-InSAR," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 120(6), pages 5763-5784, April.
    6. Ho Gul Kim & Dong Kun Lee & Huicheul Jung & Sung-Ho Kil & Jin Han Park & Chan Park & Riwako Tanaka & Changwan Seo & Ho Kim & Wooseok Kong & Kyusik Oh & Jinyong Choi & Young-Ju Oh & Gangseok Hwang & Ch, 2016. "Finding key vulnerable areas by a climate change vulnerability assessment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1683-1732, April.

  78. K. Y. Yu & D. Bufford & C. Sun & Y. Liu & H. Wang & M. A. Kirk & M. Li & X. Zhang, 2013. "Removal of stacking-fault tetrahedra by twin boundaries in nanotwinned metals," Nature Communications, Nature, vol. 4(1), pages 1-7, June.

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    1. Jiake Wei & Bin Feng & Eita Tochigi & Naoya Shibata & Yuichi Ikuhara, 2022. "Direct imaging of the disconnection climb mediated point defects absorption by a grain boundary," Nature Communications, Nature, vol. 13(1), pages 1-7, December.

  79. Wang, H. & Zhou, P. & Zhou, D.Q., 2013. "Scenario-based energy efficiency and productivity in China: A non-radial directional distance function analysis," Energy Economics, Elsevier, vol. 40(C), pages 795-803.

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    1. Jiansheng You & Rui Zhao, 2024. "Research on the dynamic evolution and influence factors of industrial energy efficiency in China Yangtze River Economic Belt," Energy & Environment, , vol. 35(8), pages 4133-4155, December.
    2. Ouyang, Xiaoling & Sun, Chuanwang, 2015. "Energy savings potential in China's industrial sector: From the perspectives of factor price distortion and allocative inefficiency," Energy Economics, Elsevier, vol. 48(C), pages 117-126.
    3. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    4. Zheming Yan & Rui Shi & Zhiming Yang, 2018. "ICT Development and Sustainable Energy Consumption: A Perspective of Energy Productivity," Sustainability, MDPI, vol. 10(7), pages 1-15, July.
    5. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    6. Quande Qin & Xin Li & Li Li & Wei Zhen & Yi-Ming Wei, 2017. "Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas," CEEP-BIT Working Papers 98, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    7. Zheming Yan & Lan Yi & Kerui Du & Zhiming Yang, 2017. "Impacts of Low-Carbon Innovation and Its Heterogeneous Components on CO 2 Emissions," Sustainability, MDPI, vol. 9(4), pages 1-14, April.
    8. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    9. Wang, Jing & Hu, Xuemeng & Song, Jian, 2024. "Unleashing the power of green fiscal policies: Driving energy efficiency in China," Energy, Elsevier, vol. 312(C).
    10. Meng, Fanyi & Su, Bin & Thomson, Elspeth & Zhou, Dequn & Zhou, P., 2016. "Measuring China’s regional energy and carbon emission efficiency with DEA models: A survey," Applied Energy, Elsevier, vol. 183(C), pages 1-21.
    11. Shao, Yanmin, 2017. "Analysis of energy savings potential of China's nonferrous metals industry," Resources, Conservation & Recycling, Elsevier, vol. 117(PA), pages 25-33.
    12. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    13. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    14. Wang, Zhaohua & Feng, Chao, 2015. "Sources of production inefficiency and productivity growth in China: A global data envelopment analysis," Energy Economics, Elsevier, vol. 49(C), pages 380-389.
    15. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
    16. Sartori, Simone & Witjes, Sjors & Campos, Lucila M.S., 2017. "Sustainability performance for Brazilian electricity power industry: An assessment integrating social, economic and environmental issues," Energy Policy, Elsevier, vol. 111(C), pages 41-51.
    17. Tengfei Huo & Hong Ren & Weiguang Cai & Wei Feng & Miaohan Tang & Nan Zhou, 2018. "The total-factor energy productivity growth of China’s construction industry: evidence from the regional level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(3), pages 1593-1616, July.
    18. Fang Chen & Tao Zhao & Di Wang, 2022. "Research on China Cities’ Total Factor Productivity of Carbon Emission: Based on Decoupling Effect," IJERPH, MDPI, vol. 19(4), pages 1-16, February.
    19. Ma, Ding & Fei, Rilong & Yu, Yongsheng, 2019. "How government regulation impacts on energy and CO2 emissions performance in China's mining industry," Resources Policy, Elsevier, vol. 62(C), pages 651-663.
    20. Jin Zhu & Dequn Zhou & Zhengning Pu & Huaping Sun, 2019. "A Study of Regional Power Generation Efficiency in China: Based on a Non-Radial Directional Distance Function Model," Sustainability, MDPI, vol. 11(3), pages 1-18, January.
    21. Zhang, Ning & Wang, Bing & Liu, Zhu, 2016. "Carbon emissions dynamics, efficiency gains, and technological innovation in China's industrial sectors," Energy, Elsevier, vol. 99(C), pages 10-19.
    22. Xifan Chen & Qingyuan Zhu & Chengzhen Xu & Zhiyang Shen & Malin Song, 2024. "Energy and environmental efficiency of China's regional electric power industry by considering renewable energy constraints," Energy & Environment, , vol. 35(2), pages 927-949, March.
    23. Song, Malin & Wang, Jianlin, 2018. "Environmental efficiency evaluation of thermal power generation in China based on a slack-based endogenous directional distance function model," Energy, Elsevier, vol. 161(C), pages 325-336.
    24. Alexandre Repkine & Dongki Min, 2020. "Foreign-Funded Enterprises and Pollution Halo Hypothesis: A Spatial Econometric Analysis of Thirty Chinese Regions," Sustainability, MDPI, vol. 12(12), pages 1-24, June.
    25. Chen, Weidong & Geng, Wenxin, 2017. "Fossil energy saving and CO2 emissions reduction performance, and dynamic change in performance considering renewable energy input," Energy, Elsevier, vol. 120(C), pages 283-292.
    26. Wang, Qunwei & Su, Bin & Sun, Jiasen & Zhou, Peng & Zhou, Dequn, 2015. "Measurement and decomposition of energy-saving and emissions reduction performance in Chinese cities," Applied Energy, Elsevier, vol. 151(C), pages 85-92.
    27. Xiangyu Teng & Yixin Xie & Guogang Jiang & Tzu-han Chang & Fan-peng Liu & Yung-ho Chiu, 2025. "Evaluating China’s carbon neutrality transition: a system framework using a two-stage dynamic non-radial directional distance function," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.
    28. Hang, Ye & Sun, Jiasen & Wang, Qunwei & Zhao, Zengyao & Wang, Yizhong, 2015. "Measuring energy inefficiency with undesirable outputs and technology heterogeneity in Chinese cities," Economic Modelling, Elsevier, vol. 49(C), pages 46-52.
    29. Wang, Ke & Wei, Yi-Ming, 2016. "Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicator," Energy Economics, Elsevier, vol. 54(C), pages 50-59.
    30. Luping Zhang & Yingying Zhu & Liwei Fan, 2021. "Temporal-Spatial Structure and Influencing Factors of Urban Energy Efficiency in China’s Agglomeration Areas," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    31. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    32. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    33. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    34. Zhou, P. & Zhang, H. & Zhang, L.P., 2022. "The drivers of energy intensity changes in Chinese cities: A production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 307(C).
    35. Beltrán-Esteve, Mercedes & Picazo-Tadeo, Andrés J., 2017. "Assessing environmental performance in the European Union: Eco-innovation versus catching-up," Energy Policy, Elsevier, vol. 104(C), pages 240-252.
    36. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    37. Xiaohua Song & Caiping Zhao & Jingjing Han & Qi Zhang & Jinpeng Liu & Yuanying Chi, 2020. "Measurement and Influencing Factors Research of the Energy and Power Efficiency in China: Based on the Supply-Side Structural Reform Perspective," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    38. Zhang, Shanshan & Lundgren, Tommy & Zhou, Wenchao, 2016. "Energy efficiency in Swedish industry," Energy Economics, Elsevier, vol. 55(C), pages 42-51.
    39. Yu, Dejian & He, Xiaorong, 2020. "A bibliometric study for DEA applied to energy efficiency: Trends and future challenges," Applied Energy, Elsevier, vol. 268(C).
    40. P. Zhou & F. Wu & D. Q. Zhou, 2017. "Total-factor energy efficiency with congestion," Annals of Operations Research, Springer, vol. 255(1), pages 241-256, August.
    41. Juan Aparicio & Javier Barbero & Magdalena Kapelko & Jesus T. Pastor & Jose L. Zofio, 2016. "Environmental Productivity Change in World Air Emissions: A new Malmquist-Luenberger Index Approach," JRC Research Reports JRC104083, Joint Research Centre.
    42. Zhao, Guangling & Guerrero, Josep M. & Jiang, Kejun & Chen, Sha, 2017. "Energy modelling towards low carbon development of Beijing in 2030," Energy, Elsevier, vol. 121(C), pages 107-113.
    43. Yang, Lisha & Li, Yutianhao & Liu, Hongxun, 2021. "Did carbon trade improve green production performance? Evidence from China," Energy Economics, Elsevier, vol. 96(C).
    44. Kounetas, Konstantinos & Stergiou, Eirini, 2019. "Technology heterogeneity in European industries' energy efficiency performance. The role of climate, greenhouse gases, path dependence and energy mix," MPRA Paper 92314, University Library of Munich, Germany.
    45. Wang, H. & Zhou, P., 2018. "Multi-country comparisons of CO2 emission intensity: The production-theoretical decomposition analysis approach," Energy Economics, Elsevier, vol. 74(C), pages 310-320.
    46. Zuoren Sun & Chao An & Huachen Sun, 2018. "Regional Differences in Energy and Environmental Performance: An Empirical Study of 283 Cities in China," Sustainability, MDPI, vol. 10(7), pages 1-28, July.
    47. Wang, Ke & Wei, Yi-Ming, 2014. "China’s regional industrial energy efficiency and carbon emissions abatement costs," Applied Energy, Elsevier, vol. 130(C), pages 617-631.
    48. Eirini Stergiou & Kostas Kounetas, 2021. "European Industries’ Energy Efficiency under Different Technological Regimes: The Role of CO2 Emissions, Climate, Path Dependence and Energy Mix," The Energy Journal, , vol. 42(1), pages 93-128, January.
    49. Li, J.S. & Xia, X.H. & Chen, G.Q. & Alsaedi, A. & Hayat, T., 2016. "Optimal embodied energy abatement strategy for Beijing economy: Based on a three-scale input-output analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1602-1610.
    50. Sheng, Jichuan & Qiu, Wenge, 2023. "Inter-basin water transfer policies and water-use technical efficiency: China's South-North Water Transfer Project," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    51. Kapelko, Magdalena & Oude Lansink, Alfons, 2017. "Dynamic multi-directional inefficiency analysis of European dairy manufacturing firms," European Journal of Operational Research, Elsevier, vol. 257(1), pages 338-344.
    52. Yanni Yu & Yongrok Choi, 2015. "Measuring Environmental Performance Under Regional Heterogeneity in China: A Metafrontier Efficiency Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 46(3), pages 375-388, October.
    53. Guo, Qiu-tong & Dong, Yong & Feng, Biao & Zhang, Hao, 2023. "Can green finance development promote total-factor energy efficiency? Empirical evidence from China based on a spatial Durbin model," Energy Policy, Elsevier, vol. 177(C).
    54. Lin, Boqiang & Du, Kerui, 2014. "Decomposing energy intensity change: A combination of index decomposition analysis and production-theoretical decomposition analysis," Applied Energy, Elsevier, vol. 129(C), pages 158-165.
    55. Ziling Yu & Ruoxuan Li & Lili Ma, 2022. "Has the Digital Economy Affected the Status of a Country’s Energy Trade Network?," Sustainability, MDPI, vol. 14(23), pages 1-14, November.
    56. Wang, Hui & Li, Rupeng & Zhang, Ning & Zhou, Peng & Wang, Qiang, 2020. "Assessing the role of technology in global manufacturing energy intensity change: A production-theoretical decomposition analysis," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    57. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    58. Chen, Nengcheng & Xu, Lei & Chen, Zeqiang, 2017. "Environmental efficiency analysis of the Yangtze River Economic Zone using super efficiency data envelopment analysis (SEDEA) and tobit models," Energy, Elsevier, vol. 134(C), pages 659-671.
    59. Zhang, Zibin & Ye, Jianliang, 2015. "Decomposition of environmental total factor productivity growth using hyperbolic distance functions: A panel data analysis for China," Energy Economics, Elsevier, vol. 47(C), pages 87-97.
    60. Zhou, D.Q. & Wu, F. & Zhou, X. & Zhou, P., 2016. "Output-specific energy efficiency assessment: A data envelopment analysis approach," Applied Energy, Elsevier, vol. 177(C), pages 117-126.
    61. H. Wang & B.W. Ang & P. Zhou, 2018. "Decomposing Aggregate CO2 Emission Changes with Heterogeneity: An Extended Production-theoretical Approach," The Energy Journal, , vol. 39(1), pages 59-80, January.
    62. Kerui Du & Boqiang Lin & Chunping Xie, 2017. "Exploring Change in China’s Carbon Intensity: A Decomposition Approach," Sustainability, MDPI, vol. 9(2), pages 1-14, February.
    63. Cheng, Zhonghua & Liu, Jun & Li, Lianshui & Gu, Xinbei, 2020. "Research on meta-frontier total-factor energy efficiency and its spatial convergence in Chinese provinces," Energy Economics, Elsevier, vol. 86(C).
    64. Wang, H. & Pan, Chen & Wang, Qunwei & Zhou, P., 2020. "Assessing sustainability performance of global supply chains: An input-output modeling approach," European Journal of Operational Research, Elsevier, vol. 285(1), pages 393-404.
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    66. Liu, Guangtian & Wang, Bing & Zhang, Ning, 2016. "A coin has two sides: Which one is driving China’s green TFP growth?," Economic Systems, Elsevier, vol. 40(3), pages 481-498.
    67. Ning Zhang & Haisheng Li, 2024. "Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants," Sustainability, MDPI, vol. 16(19), pages 1-16, September.
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    82. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
    83. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    84. Shuangjie Li & Hongyu Diao & Liming Wang & Chunqi Li, 2021. "Energy Efficiency Measurement: A VO TFEE Approach and Its Application," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    85. Fan, Meiting & Shao, Shuai & Yang, Lili, 2015. "Combining global Malmquist–Luenberger index and generalized method of moments to investigate industrial total factor CO2 emission performance: A case of Shanghai (China)," Energy Policy, Elsevier, vol. 79(C), pages 189-201.
    86. Wang, Yan & Shen, Neng, 2016. "Environmental regulation and environmental productivity: The case of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 758-766.
    87. Wang, H., 2015. "A generalized MCDA–DEA (multi-criterion decision analysis–data envelopment analysis) approach to construct slacks-based composite indicator," Energy, Elsevier, vol. 80(C), pages 114-122.
    88. Guoxing Zhang & Zhenhua Zhang & Xiulin Gao & Lean Yu & Shouyang Wang & Yingluo Wang, 2017. "Impact of Energy Conservation and Emissions Reduction Policy Means Coordination on Economic Growth: Quantitative Evidence from China," Sustainability, MDPI, vol. 9(5), pages 1-19, April.
    89. Wang, H. & Zhou, P. & Wang, Qunwei, 2016. "Constructing slacks-based composite indicator of sustainable energy development for China: A meta-frontier nonparametric approach," Energy, Elsevier, vol. 101(C), pages 218-228.

  80. Wang, Hongsheng & Lei, Yue & Wang, Haikun & Liu, Miaomiao & Yang, Jie & Bi, Jun, 2013. "Carbon reduction potentials of China's industrial parks: A case study of Suzhou Industry Park," Energy, Elsevier, vol. 55(C), pages 668-675.

    Cited by:

    1. Yan, Kun & Gao, Hanbo & Liu, Rui & Lyu, Yizheng & Wan, Mei & Tian, Jinping & Chen, Lyujun, 2024. "Review on low-carbon development in Chinese industrial parks driven by bioeconomy strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    2. Zhang, Anshan & Wang, Feiliang & Li, Huanyu & Pang, Bo & Yang, Jian, 2024. "Carbon emissions accounting and estimation of carbon reduction potential in the operation phase of residential areas based on digital twin," Applied Energy, Elsevier, vol. 376(PB).
    3. Yu, Xiang & Chen, Hongbo & Wang, Bo & Wang, Ran & Shan, Yuli, 2018. "Driving forces of CO2 emissions and mitigation strategies of China’s National low carbon pilot industrial parks," Applied Energy, Elsevier, vol. 212(C), pages 1553-1562.
    4. Xue, Ruoyu & Wang, Shanshan & Long, Wenqi & Gao, Gengyu & Liu, Donghui & Zhang, Ruiqin, 2021. "Uncovering GHG emission characteristics of industrial parks in Central China via emission inventory and cluster analysis," Energy Policy, Elsevier, vol. 151(C).
    5. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    6. Yuheng Sun & Zhengyuan Feng & Fangtao Liu & Yuanhang Li & Jun Ning & Hang Fu & Shoujuan Tang & Guangxin Liu & Yang Li & Lei Shi, 2024. "Carbon Neutrality Pathways for Industrial Parks and Reduction Potential Based on Text Analysis and Empirical Research," Sustainability, MDPI, vol. 16(23), pages 1-15, December.
    7. Jianmin You & Xiqiang Chen & Jindao Chen, 2021. "Decomposition of Industrial Electricity Efficiency and Electricity-Saving Potential of Special Economic Zones in China Considering the Heterogeneity of Administrative Hierarchy and Regional Location," Energies, MDPI, vol. 14(17), pages 1-22, September.
    8. Zhengbo Li & Feng Deng & Qiaoqiao Zhu & Li Cao & Yunyan Jiang, 2022. "Do the Chinese Government’s Efforts to Make a Low-Carbon Industrial Transition Hinder or Promote the Economic Development? Evidence from Low-Carbon Industrial Parks Pilot Policy," Sustainability, MDPI, vol. 15(1), pages 1-20, December.
    9. Dong, Huijuan & Ohnishi, Satoshi & Fujita, Tsuyoshi & Geng, Yong & Fujii, Minoru & Dong, Liang, 2014. "Achieving carbon emission reduction through industrial & urban symbiosis: A case of Kawasaki," Energy, Elsevier, vol. 64(C), pages 277-286.
    10. Jian Zhang & Jingyang Liu & Li Dong & Qi Qiao, 2022. "CO 2 Emissions Inventory and Its Uncertainty Analysis of China’s Industrial Parks: A Case Study of the Maanshan Economic and Technological Development Area," IJERPH, MDPI, vol. 19(18), pages 1-14, September.
    11. Huang, Beijia & Jiang, Ping & Wang, Shaoping & Zhao, Juan & Wu, Luchao, 2016. "Low carbon innovation and practice in Caohejing High-Tech Industrial Park of Shanghai," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 367-373.
    12. Wang, Juan & Zhang, Kezhong, 2014. "Convergence of carbon dioxide emissions in different sectors in China," Energy, Elsevier, vol. 65(C), pages 605-611.

  81. Wang, H. & Zhou, D.Q. & Zhou, P. & Zha, D.L., 2012. "Direct rebound effect for passenger transport: Empirical evidence from Hong Kong," Applied Energy, Elsevier, vol. 92(C), pages 162-167.

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    1. Freire-González, Jaume & Font Vivanco, David & Puig-Ventosa, Ignasi, 2017. "Economic structure and energy savings from energy efficiency in households," Ecological Economics, Elsevier, vol. 131(C), pages 12-20.
    2. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    3. Galvin, Ray, 2017. "How does speed affect the rebound effect in car travel? Conceptual issues explored in case study of 900 Formula 1 Grand Prix speed trials," Energy, Elsevier, vol. 128(C), pages 28-38.
    4. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    5. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    6. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    7. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    8. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    9. Tufan Özsoy, 2024. "The “energy rebound effect” within the framework of environmental sustainability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(2), March.
    10. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    11. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    12. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.
    13. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    14. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    15. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
    16. Zhang, Yue-Jun & Peng, Hua-Rong & Liu, Zhao & Tan, Weiping, 2015. "Direct energy rebound effect for road passenger transport in China: A dynamic panel quantile regression approach," Energy Policy, Elsevier, vol. 87(C), pages 303-313.
    17. Yuan, Zhen & Xu, Jie & Li, Bing & Yao, Tingting, 2022. "Limits of technological progress in controlling energy consumption: Evidence from the energy rebound effects across China's industrial sector," Energy, Elsevier, vol. 245(C).
    18. Wu, Ya & Zhu, Qianwen & Zhong, Ling & Zhang, Tao, 2019. "Energy consumption in the transportation sectors in China and the United States: A longitudinal comparative study," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 349-360.
    19. Zha, Donglan & Chen, Qian & Wang, Lijun, 2022. "Exploring carbon rebound effects in Chinese households’ consumption: A simulation analysis based on a multi-regional input–output framework," Applied Energy, Elsevier, vol. 313(C).
    20. Zhang, Yue-Jun & Peng, Hua-Rong & Su, Bin, 2017. "Energy rebound effect in China's Industry: An aggregate and disaggregate analysis," Energy Economics, Elsevier, vol. 61(C), pages 199-208.
    21. Luo, Xiao & Dong, Liang & Dou, Yi & Liang, Hanwei & Ren, Jingzheng & Fang, Kai, 2016. "Regional disparity analysis of Chinese freight transport CO2 emissions from 1990 to 2007: Driving forces and policy challenges," Journal of Transport Geography, Elsevier, vol. 56(C), pages 1-14.
    22. Galvin, Ray & Martulli, Alessandro & Ruzzenenti, Franco, 2021. "Does power curb energy efficiency? Evidence from two decades of European truck tests," Energy, Elsevier, vol. 232(C).
    23. Chen, Qian & Zha, Donglan & Salman, Muhammad, 2022. "The influence of carbon tax on CO2 rebound effect and welfare in Chinese households," Energy Policy, Elsevier, vol. 168(C).
    24. Jaume Freire-González, 2019. "Does Water Efficiency Reduce Water Consumption? The Economy-Wide Water Rebound Effect," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2191-2202, April.
    25. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    26. Galvin, Ray, 2016. "Rebound effects from speed and acceleration in electric and internal combustion engine cars: An empirical and conceptual investigation," Applied Energy, Elsevier, vol. 172(C), pages 207-216.
    27. Li, Ke & Lin, Boqiang, 2015. "Heterogeneity in rebound effects: Estimated results and impact of China’s fossil-fuel subsidies," Applied Energy, Elsevier, vol. 149(C), pages 148-160.
    28. Song, Jianfeng & Guo, Yanan & Wu, Pute & Sun, SHikun, 2018. "The Agricultural Water Rebound Effect in China," Ecological Economics, Elsevier, vol. 146(C), pages 497-506.
    29. Suchi Kapoor Malhotra & Howard White & Nina Ashley O. Dela Cruz & Ashrita Saran & John Eyers & Denny John & Ella Beveridge & Nina Blöndal, 2021. "Studies of the effectiveness of transport sector interventions in low‐ and middle‐income countries: An evidence and gap map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(4), December.
    30. Li, Ke & Zhang, Ning & Liu, Yanchu, 2016. "The energy rebound effects across China’s industrial sectors: An output distance function approach," Applied Energy, Elsevier, vol. 184(C), pages 1165-1175.
    31. Sylvain Weber & Mehdi Farsi, 2014. "Travel distance, fuel efficiency, and vehicle weight: An estimation of the rebound effect using individual data in Switzerland," IRENE Working Papers 14-03, IRENE Institute of Economic Research.

  82. Zhou, P. & Ang, B.W. & Wang, H., 2012. "Energy and CO2 emission performance in electricity generation: A non-radial directional distance function approach," European Journal of Operational Research, Elsevier, vol. 221(3), pages 625-635.

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    1. Zhao, Yu & Zhong, Honglin & Kong, Fanbin & Zhang, Ning, 2023. "Can China achieve carbon neutrality without power shortage? A substitutability perspective," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    2. Pan Wanbin & Huang Lei & Zhao Linlin, 2017. "An Integrated DEA Model Allowing Decomposition of Eco-Efficiency: A Case Study of China," Journal of Systems Science and Information, De Gruyter, vol. 5(5), pages 473-488, October.
    3. Yongrok Choi & Hyoung Seok Lee, 2016. "Are Emissions Trading Policies Sustainable? A Study of the Petrochemical Industry in Korea," Sustainability, MDPI, vol. 8(11), pages 1-13, October.
    4. Haoyue Wu & Jin Tang & Hanjiao Huang & Wenkuan Chen & Yue Meng, 2021. "Net Carbon Sequestration Performance of Cropland Use in China’s Principal Grain-Producing Area: An Evaluation and Spatiotemporal Divergence," Land, MDPI, vol. 10(7), pages 1-19, July.
    5. Zhou, Guanghui & Chung, William & Zhang, Xiliang, 2013. "A study of carbon dioxide emissions performance of China's transport sector," Energy, Elsevier, vol. 50(C), pages 302-314.
    6. Song, Yao-yao & Li, Jing-jing & Wang, Jin-li & Yang, Guo-liang & Chen, Zhenling, 2022. "Eco-efficiency of Chinese transportation industry: A DEA approach with non-discretionary input," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    7. Bi, Gong-Bing & Song, Wen & Zhou, P. & Liang, Liang, 2014. "Does environmental regulation affect energy efficiency in China's thermal power generation? Empirical evidence from a slacks-based DEA model," Energy Policy, Elsevier, vol. 66(C), pages 537-546.
    8. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    9. Zhou, P. & Delmas, M.A. & Kohli, A., 2017. "Constructing meaningful environmental indices: A nonparametric frontier approach," Journal of Environmental Economics and Management, Elsevier, vol. 85(C), pages 21-34.
    10. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    11. Sueyoshi, Toshiyuki & Yuan, Yan & Goto, Mika, 2017. "A literature study for DEA applied to energy and environment," Energy Economics, Elsevier, vol. 62(C), pages 104-124.
    12. Nikos Chatzistamoulou & Phoebe Koundouri, 2020. "Environmental Efficiency, Productive Performance and Spillover Effects under heterogeneous Environmental Awareness Regimes," DEOS Working Papers 2013, Athens University of Economics and Business.
    13. Barros, Carlos Pestana & Chen, Zhongfei & Managi, Shunsuke & Antunes, Olinda Sequeira, 2013. "Examining the cost efficiency of Chinese hydroelectric companies using a finite mixture model," Energy Economics, Elsevier, vol. 36(C), pages 511-517.
    14. Alexandros Maziotis & Ramon Sala‐Garrido & Manuel Mocholi‐Arce & Maria Molinos‐Senante, 2024. "Estimating the impact of carbon inefficiency and overuse of energy on the economics of water companies: A case study for England and Wales," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 3601-3611, August.
    15. Z-John Liu & Minh-Hieu Le & Wen-Min Lu, 2022. "An Innovation Perspective to Explore the Ecology and Social Welfare Efficiencies of Countries," IJERPH, MDPI, vol. 19(9), pages 1-18, April.
    16. Shaoai Wu & Liping Ma & Jierui Xu & Yuqing Chen, 2026. "A Comprehensive Overview Based on Data Envelopment Analysis (DEA): An Approach Towards Green Economy Development and Sustainability," Networks and Spatial Economics, Springer, vol. 26(1), pages 305-330, March.
    17. D’Inverno, Giovanna & Carosi, Laura & Romano, Giulia & Guerrini, Andrea, 2018. "Water pollution in wastewater treatment plants: An efficiency analysis with undesirable output," European Journal of Operational Research, Elsevier, vol. 269(1), pages 24-34.
    18. Fei, Rilong & Lin, Boqiang, 2017. "The integrated efficiency of inputs–outputs and energy – CO2 emissions performance of China's agricultural sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 668-676.
    19. Yaisawarng, Suthathip & Ng, Ying Chu, 2014. "The impact of higher education reform on research performance of Chinese universities," China Economic Review, Elsevier, vol. 31(C), pages 94-105.
    20. Khaldoon Albitar & Nohade Nasrallah & Khaled Hussainey & Yadong Wang, 2024. "Eco-innovation and corporate waste management: The moderating role of ESG performance," Review of Quantitative Finance and Accounting, Springer, vol. 63(2), pages 781-805, August.
    21. Bei He & Xiaoyun Du & Junkang Li & Dan Chen, 2023. "A Effectiveness-and Efficiency-Based Improved Approach for Measuring Ecological Well-Being Performance in China," IJERPH, MDPI, vol. 20(3), pages 1-29, January.
    22. Zhang, L.P. & Zhou, P., 2018. "A non-compensatory composite indicator approach to assessing low-carbon performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 352-361.
    23. Yue-Jun Zhang & Ya-Bin Da, 2013. "Decomposing the changes of energy-related carbon emissions in China: Evidence from the PDA approach," CEEP-BIT Working Papers 45, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    24. Renjie Yu & Peng Yuan & Fandi Yang & Gongxiong Jiang, 2023. "Effects of Vertical Unbundling on the Operational and Environmental Efficiency of Chinese Thermal Power Firms," Energies, MDPI, vol. 16(21), pages 1-22, October.
    25. Zhang, Jinning & Liu, Xinyu & Lyu, Yanwei, 2024. "Exploring innovative digital strategies for sustainable development: Addressing challenges of mineral resource scarcity," Resources Policy, Elsevier, vol. 93(C).
    26. Maria Elisabete Neves & Carla Henriques & João Vilas, 2021. "Financial performance assessment of electricity companies: evidence from Portugal," Operational Research, Springer, vol. 21(4), pages 2809-2857, December.
    27. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
    28. Wang, Jing & Hu, Xuemeng & Song, Jian, 2024. "Unleashing the power of green fiscal policies: Driving energy efficiency in China," Energy, Elsevier, vol. 312(C).
    29. Li, Yan & Wei, Yigang & Zhang, Xiaoling & Tao, Yuan, 2020. "Regional and provincial CO2 emission reduction task decomposition of China's 2030 carbon emission peak based on the efficiency, equity and synthesizing principles," Structural Change and Economic Dynamics, Elsevier, vol. 53(C), pages 237-256.
    30. Xu, Chong, 2023. "Towards balanced low-carbon development: Driver and complex network of urban-rural energy-carbon performance gap in China," Applied Energy, Elsevier, vol. 333(C).
    31. Ya Wu & Yin Liu & Minglong Zhang, 2023. "How Does Digital Finance Affect Energy Efficiency?—Characteristics, Mechanisms, and Spatial Effects," Sustainability, MDPI, vol. 15(9), pages 1-24, April.
    32. Li, Bo & Han, Yukai & Wang, Chensheng & Sun, Wei, 2022. "Did civilized city policy improve energy efficiency of resource-based cities? Prefecture-level evidence from China," Energy Policy, Elsevier, vol. 167(C).
    33. Zhang, Ning & Kong, Fanbin & Choi, Yongrok & Zhou, P., 2014. "The effect of size-control policy on unified energy and carbon efficiency for Chinese fossil fuel power plants," Energy Policy, Elsevier, vol. 70(C), pages 193-200.
    34. Bostian, Moriah & Färe, Rolf & Grosskopf, Shawna & Lundgren, Tommy, 2016. "Environmental investment and firm performance: A network approach," Energy Economics, Elsevier, vol. 57(C), pages 243-255.
    35. Lee, Myunghun & Zhang, Ning, 2012. "Technical efficiency, shadow price of carbon dioxide emissions, and substitutability for energy in the Chinese manufacturing industries," Energy Economics, Elsevier, vol. 34(5), pages 1492-1497.
    36. Stergiou, Eirini, 2022. "Environmental Efficiency of European Industries across Sectors and Countries," MPRA Paper 114635, University Library of Munich, Germany.
    37. María Molinos-Senante & Manuel Mocholi-Arce & Ramón Sala-Garrido, 2016. "Efficiency Assessment of Water and Sewerage Companies: a Disaggregated Approach Accounting for Service Quality," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(12), pages 4311-4328, September.
    38. Lian, Yonghui & Dong, Haoran & Cao, Hong, 2024. "The effect of digital economy and environmental regulation on green total factor productivity: Evidence from China," Global Finance Journal, Elsevier, vol. 62(C).
    39. Gefu Liang & Dajia Yu & Lifei Ke, 2021. "An Empirical Study on Dynamic Evolution of Industrial Structure and Green Economic Growth—Based on Data from China’s Underdeveloped Areas," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
    40. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    41. Lin, Boqiang & Xu, Chongchong, 2024. "Reaping green dividend: The effect of China's urban new energy transition strategy on green economic performance," Energy, Elsevier, vol. 286(C).
    42. Jiang, Wei & Li, Xitao & Liu, Ruoxi & Song, Yijia, 2022. "Local fiscal pressure, policy distortion and energy efficiency: Micro-evidence from a quasi-natural experiment in China," Energy, Elsevier, vol. 254(PB).
    43. Du, Limin & Mao, Jie, 2015. "Estimating the environmental efficiency and marginal CO2 abatement cost of coal-fired power plants in China," Energy Policy, Elsevier, vol. 85(C), pages 347-356.
    44. Jingyun Li & Zhiyang Shen & Michael Vardanyan, 2026. "A multi-stage exponential production model for the assessment of China’s regional electric power supply chain efficiency: Does digital innovation matter?," Annals of Operations Research, Springer, vol. 359(2), pages 1633-1660, April.
    45. Qian Wang & Jinbao Yang & Yung‐ho Chiu & Tai‐Yu Lin, 2020. "The impact of digital finance on financial efficiency," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1225-1236, October.
    46. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
    47. Pritpal Singh & Gurdeep Singh & G. P. S. Sodhi, 2022. "Data envelopment analysis based optimization for improving net ecosystem carbon and energy budget in cotton (Gossypium hirsutum L.) cultivation: methods and a case study of north-western India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 2079-2119, February.
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    49. Tian Xia & Siyu Li & Yunning Ma & Yongrok Choi, 2025. "Is China’s Urban Development Planning Sustainable? Evidence from the Transportation Sector in Cities Along the Belt and Road Initiative Route," Land, MDPI, vol. 14(2), pages 1-26, February.
    50. Ma, Chunbo & Hailu, Atakelty & You, Chaoying, 2019. "A critical review of distance function based economic research on China’s marginal abatement cost of carbon dioxide emissions," Energy Economics, Elsevier, vol. 84(C).
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    56. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
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    58. Li, Yongjun & Wang, Lizheng & Li, Feng, 2021. "A data-driven prediction approach for sports team performance and its application to National Basketball Association," Omega, Elsevier, vol. 98(C).
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    65. Jianglong Li & Boqiang Lin, 2016. "Green Economy Performance and Green Productivity Growth in China’s Cities: Measures and Policy Implication," Sustainability, MDPI, vol. 8(9), pages 1-21, September.
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    1. M. Krzyżaniak & J. Lemanowicz, 2013. "Enzymatic activity of the Kuyavia Mollic Gleysols (Poland) against their chemical properties," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 59(8), pages 359-365.
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    Cited by:

    1. Romero-Rubio, Carmen & de Andrés Díaz, José Ramón, 2015. "Sustainable energy communities: a study contrasting Spain and Germany," Energy Policy, Elsevier, vol. 85(C), pages 397-409.

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    1. Fei, Rilong & Wang, Haolin & Wen, Zihao & Yuan, Zhen & Yuan, Kaihua & Chunga, Joseph, 2021. "Tracking factor substitution and the rebound effect of China’s agricultural energy consumption: A new research perspective from asymmetric response," Energy, Elsevier, vol. 216(C).
    2. Lin, Boqiang & Li, Jianglong, 2014. "The rebound effect for heavy industry: Empirical evidence from China," Energy Policy, Elsevier, vol. 74(C), pages 589-599.
    3. Li, Kong & Xianzhong, Mu & Guangwen, Hu, 2021. "A decomposing analysis of productive and residential energy consumption in Beijing," Energy, Elsevier, vol. 226(C).
    4. Chai, Jian & Yang, Ying & Wang, Shouyang & Lai, Kin Keung, 2016. "Fuel efficiency and emission in China's road transport sector: Induced effect and rebound effect," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 188-197.
    5. Wang, Zhaohua & Lu, Milin, 2014. "An empirical study of direct rebound effect for road freight transport in China," Applied Energy, Elsevier, vol. 133(C), pages 274-281.
    6. Galvin, Ray, 2017. "How does speed affect the rebound effect in car travel? Conceptual issues explored in case study of 900 Formula 1 Grand Prix speed trials," Energy, Elsevier, vol. 128(C), pages 28-38.
    7. Zhang, Yue-Jun & Liu, Zhao & Zhou, Si-Ming & Qin, Chang-Xiong & Zhang, Huan, 2018. "The impact of China's Central Rise Policy on carbon emissions at the stage of operation in road sector," Economic Modelling, Elsevier, vol. 71(C), pages 159-173.
    8. Lin, Boqiang & Liu, Xia, 2013. "Reform of refined oil product pricing mechanism and energy rebound effect for passenger transportation in China," Energy Policy, Elsevier, vol. 57(C), pages 329-337.
    9. Karplus, V. & Kishimoto, P. & Paltsev, S., 2012. "The global energy, CO2 emissions, and economic impact of vehicle fuel economy standards," Conference papers 332263, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    10. Biying Yu & Junyi Zhang & Akimasa Fujiwara, 2016. "Who rebounds in the private transport sector? A comparative analysis between Beijing and Tokyo," Environment and Planning B, , vol. 43(3), pages 561-579, May.
    11. Ouyang, Xiaoling & Gao, Beiying & Du, Kerui & Du, Gang, 2018. "Industrial sectors' energy rebound effect: An empirical study of Yangtze River Delta urban agglomeration," Energy, Elsevier, vol. 145(C), pages 408-416.
    12. Wang, Zhaohua & Han, Bai & Lu, Milin, 2016. "Measurement of energy rebound effect in households: Evidence from residential electricity consumption in Beijing, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 852-861.
    13. Kong, Li & Hu, Guangwen & Mu, Xianzhong & Li, Guohao & Zhang, Zheng, 2023. "The energy rebound effect in households: Evidence from urban and rural areas in Beijing," Applied Energy, Elsevier, vol. 343(C).
    14. Du, Qiang & Han, Xiao & Li, Yi & Li, Zhe & Xia, Bo & Guo, Xiqian, 2021. "The energy rebound effect of residential buildings: Evidence from urban and rural areas in China," Energy Policy, Elsevier, vol. 153(C).
    15. Yan, Zheming & Ouyang, Xiaoling & Du, Kerui, 2019. "Economy-wide estimates of energy rebound effect: Evidence from China's provinces," Energy Economics, Elsevier, vol. 83(C), pages 389-401.
    16. Lu, Yingying & Liu, Yu & Zhou, Meifang, 2017. "Rebound effect of improved energy efficiency for different energy types: A general equilibrium analysis for China," Energy Economics, Elsevier, vol. 62(C), pages 248-256.
    17. Muhammad Khan & Arslan Tariq Rana, 2026. "Human capital, energy efficiency, and CO2 emissions: a reassessment of the environmental Kuznets curve," Economic Change and Restructuring, Springer, vol. 59(1), pages 1-30, February.
    18. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    19. Tufan Özsoy, 2024. "The “energy rebound effect” within the framework of environmental sustainability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(2), March.
    20. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2015. "A new approach to measuring the rebound effect associated to energy efficiency improvements: An application to the US residential energy demand," Energy Economics, Elsevier, vol. 49(C), pages 599-609.
    21. Daldoul Manel & Dakhlaoui Ahlem, 2021. "The Direct Rebound Effect and Energy Efficiency Policy: An Econometric Estimation in the case of Tunisian Transport Sector," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 235-243.
    22. Lu-Yi Qiu & Ling-Yun He, 2017. "Are Chinese Green Transport Policies Effective? A New Perspective from Direct Pollution Rebound Effect, and Empirical Evidence From the Road Transport Sector," Sustainability, MDPI, vol. 9(3), pages 1-11, March.
    23. Yu, Biying & Zhang, Junyi & Fujiwara, Akimasa, 2013. "Evaluating the direct and indirect rebound effects in household energy consumption behavior: A case study of Beijing," Energy Policy, Elsevier, vol. 57(C), pages 441-453.
    24. Solaymani, Saeed & Kardooni, Roozbeh & Yusoff, Sumiani Binti & Kari, Fatimah, 2015. "The impacts of climate change policies on the transportation sector," Energy, Elsevier, vol. 81(C), pages 719-728.
    25. Orea, Luis & Llorca, Manuel & Filippini, Massimo, 2014. "Measuring energy efficiency and rebound effects using a stochastic demand frontier approach: the US residential energy demand," Efficiency Series Papers 2014/01, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    26. Matthew E. Oliver & Juan Moreno-Cruz & Ross C. Beppler, 2019. "Microeconomics of the rebound effect for residential solar photovoltaic systems," CESifo Working Paper Series 7635, CESifo.
    27. Liu, Hongxun & Du, Kerui & Li, Jianglong, 2019. "An improved approach to estimate direct rebound effect by incorporating energy efficiency: A revisit of China's industrial energy demand," Energy Economics, Elsevier, vol. 80(C), pages 720-730.
    28. Zhu, Yongbin & Shi, Yajuan & Wang, Zheng, 2014. "How much CO2 emissions will be reduced through industrial structure change if China focuses on domestic rather than international welfare?," Energy, Elsevier, vol. 72(C), pages 168-179.
    29. Simon Mathex, 2024. "L'effet de licence comme ressort de l'effet rebond : revue de littérature et pistes de réflexion," Post-Print hal-04619288, HAL.
    30. Chen, Zhenni & Du, Huibin & Li, Jianglong & Southworth, Frank & Ma, Shoufeng, 2019. "Achieving low-carbon urban passenger transport in China: Insights from the heterogeneous rebound effect," Energy Economics, Elsevier, vol. 81(C), pages 1029-1041.
    31. Hong, Li & Liang, Dong & Di, Wang, 2013. "Economic and environmental gains of China's fossil energy subsidies reform: A rebound effect case study with EIMO model," Energy Policy, Elsevier, vol. 54(C), pages 335-342.
    32. Wen, Fenghua & Ye, Zhengke & Yang, Huaidong & Li, Ke, 2018. "Exploring the rebound effect from the perspective of household: An analysis of China's provincial level," Energy Economics, Elsevier, vol. 75(C), pages 345-356.
    33. Lin, Boqiang & Zhu, Runqing, 2022. "How does market-oriented reform influence the rebound effect of China’s mining industry?," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 34-44.
    34. Merter AKINCI, Haktan SEVİNÇ, Ömer YILMAZ, 2018. "Jevons Paradoksu: Enerji Etkinliği ve Rebound Etkisi Üzerine Ekonometrik Bir Analiz," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 1.
    35. Sun, Shanxia & Delgado, Michael S. & Khanna, Neha, 2019. "Hybrid vehicles, social signals and household driving: Implications for miles traveled and gasoline consumption," Energy Economics, Elsevier, vol. 84(C).
    36. Lu-Yi Qiu & Ling-Yun He, 2016. "Are Chinese transport policies effective? A new perspective from direct pollution rebound effect, and empirical evidence from road transport sector," Papers 1612.02653, arXiv.org.
    37. Zhang, Yue-Jun & Liu, Zhao & Qin, Chang-Xiong & Tan, Tai-De, 2017. "The direct and indirect CO2 rebound effect for private cars in China," Energy Policy, Elsevier, vol. 100(C), pages 149-161.
    38. Liu, Wen & Lund, Henrik & Mathiesen, Brian Vad, 2013. "Modelling the transport system in China and evaluating the current strategies towards the sustainable transport development," Energy Policy, Elsevier, vol. 58(C), pages 347-357.
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    50. Song, Yan & Zhang, Ming & Shan, Cheng, 2019. "Research on the decoupling trend and mitigation potential of CO2 emissions from China's transport sector," Energy, Elsevier, vol. 183(C), pages 837-843.
    51. Jaume Freire-González, 2019. "Does Water Efficiency Reduce Water Consumption? The Economy-Wide Water Rebound Effect," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(6), pages 2191-2202, April.
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    54. Toroghi, Shahaboddin H. & Oliver, Matthew E., 2019. "Framework for estimation of the direct rebound effect for residential photovoltaic systems," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
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    2. Mingxiang Cao & Yuanjing He, 2022. "A high-dimensional test on linear hypothesis of means under a low-dimensional factor model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 85(5), pages 557-572, July.
    3. Shuquan Yang & Nengxiang Ling & Yulin Gong, 2022. "Robust estimation of the number of factors for the pair-elliptical factor models," Computational Statistics, Springer, vol. 37(3), pages 1495-1522, July.
    4. Lan, Wei & Ding, Yue & Fang, Zheng & Fang, Kuangnan, 2016. "Testing covariates in high dimension linear regression with latent factors," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 25-37.
    5. Xiangyu Wang & Chenlei Leng, 2016. "High dimensional ordinary least squares projection for screening variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(3), pages 589-611, June.
    6. Mehmet Caner & Xu Han, 2014. "Selecting the Correct Number of Factors in Approximate Factor Models: The Large Panel Case With Group Bridge Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(3), pages 359-374, July.
    7. Zhao, Bangxin & Liu, Xin & He, Wenqing & Yi, Grace Y., 2021. "Dynamic tilted current correlation for high dimensional variable screening," Journal of Multivariate Analysis, Elsevier, vol. 182(C).
    8. Lin, Lu & Sun, Jing, 2016. "Adaptive conditional feature screening," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 287-301.
    9. Du, Lilun & Lan, Wei & Luo, Ronghua & Zhong, Pingshou, 2018. "Factor-adjusted multiple testing of correlations," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 34-47.
    10. Fan, Jianqing & Ke, Yuan & Wang, Kaizheng, 2020. "Factor-adjusted regularized model selection," Journal of Econometrics, Elsevier, vol. 216(1), pages 71-85.
    11. Shi, Jiaxin & Gao, Yuan & Pan, Rui & Wang, Hansheng, 2026. "A latent factor model for high-dimensional binary data," Journal of Multivariate Analysis, Elsevier, vol. 212(C).
    12. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    13. Hyodo, Masashi & Nishiyama, Takahiro & Pavlenko, Tatjana, 2023. "A Behrens–Fisher problem for general factor models in high dimensions," Journal of Multivariate Analysis, Elsevier, vol. 195(C).
    14. Lan, Wei & Zhong, Ping-Shou & Li, Runze & Wang, Hansheng & Tsai, Chih-Ling, 2016. "Testing a single regression coefficient in high dimensional linear models," Journal of Econometrics, Elsevier, vol. 195(1), pages 154-168.
    15. Zhu, Xuehu & Guo, Xu & Wang, Tao & Zhu, Lixing, 2020. "Dimensionality determination: A thresholding double ridge ratio approach," Computational Statistics & Data Analysis, Elsevier, vol. 146(C).
    16. Hyodo, Masashi & Nishiyama, Takahiro & Watanabe, Hiroki & Nakagawa, Tomoyuki & Tahata, Kouji, 2025. "Equality tests of covariance matrices under a low-dimensional factor structure," Journal of Multivariate Analysis, Elsevier, vol. 206(C).
    17. Liu, Zhongkai & Song, Rui & Zeng, Donglin & Zhang, Jiajia, 2017. "Principal components adjusted variable screening," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 134-144.
    18. Ma, Yingying & Lan, Wei & Wang, Hansheng, 2015. "A high dimensional two-sample test under a low dimensional factor structure," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 162-170.

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    2. Wang, Xiangrong & Trajanovski, Stojan & Kooij, Robert E. & Van Mieghem, Piet, 2016. "Degree distribution and assortativity in line graphs of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 343-356.

  88. H. Wang & E. Van Boven & A. Krishnakumar & M. Hosseini & H. Van Hooff & T. Takema & N. Baken & P. Van Mieghem, 2011. "Multi-Weighted Monetary Transaction Network," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 14(05), pages 691-710.

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  89. Wang, Haikun & Fu, Lixin & Bi, Jun, 2011. "CO2 and pollutant emissions from passenger cars in China," Energy Policy, Elsevier, vol. 39(5), pages 3005-3011, May.

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    1. Hao, Han & Liu, Zongwei & Zhao, Fuquan & Li, Weiqi & Hang, Wen, 2015. "Scenario analysis of energy consumption and greenhouse gas emissions from China's passenger vehicles," Energy, Elsevier, vol. 91(C), pages 151-159.
    2. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.
    3. Lei Wen & Anqi Wang, 2023. "System dynamics model of Beijing urban public transport carbon emissions based on carbon neutrality target," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12681-12706, November.
    4. Jiang, Jingjing & Ye, Bin & Liu, Junguo, 2019. "Peak of CO2 emissions in various sectors and provinces of China: Recent progress and avenues for further research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 813-833.
    5. Zhang, Shaojun & Wu, Ye & Liu, Huan & Huang, Ruikun & Un, Puikei & Zhou, Yu & Fu, Lixin & Hao, Jiming, 2014. "Real-world fuel consumption and CO2 (carbon dioxide) emissions by driving conditions for light-duty passenger vehicles in China," Energy, Elsevier, vol. 69(C), pages 247-257.
    6. Weiwei Chen & Maozeng Xu & Qingsong Xing & Ligang Cui & Liudan Jiao, 2020. "A Fuzzy Demand-Profit Model for the Sustainable Development of Electric Vehicles in China from the Perspective of Three-Level Service Chain," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
    7. Ying Zhu & Tianhao Cui & Yanzheng Liu & Qin Zhou & Yexin Li, 2021. "Research on Inter-Provincial Transfer of CO 2 Emissions from Transportation by Considering Fuzzy Parameter," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    8. Guo, Bin & Geng, Yong & Franke, Bernd & Hao, Han & Liu, Yaxuan & Chiu, Anthony, 2014. "Uncovering China’s transport CO2 emission patterns at the regional level," Energy Policy, Elsevier, vol. 74(C), pages 134-146.
    9. Li, Yu & Zheng, Ji & Li, Zehong & Yuan, Liang & Yang, Yang & Li, Fujia, 2017. "Re-estimating CO2 emission factors for gasoline passenger cars adding driving behaviour characteristics——A case study of Beijing," Energy Policy, Elsevier, vol. 102(C), pages 353-361.
    10. Roozbeh Jalali & Seama Koohi-Fayegh & Khalil El-Khatib & Daniel Hoornweg & Heng Li, 2017. "Investigating the Potential of Ridesharing to Reduce Vehicle Emissions," Urban Planning, Cogitatio Press, vol. 2(2), pages 26-40.
    11. Firnkorn, Jörg, 2012. "Triangulation of two methods measuring the impacts of a free-floating carsharing system in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1654-1672.
    12. Li, Peilin & Zhao, Pengjun & Brand, Christian, 2018. "Future energy use and CO2 emissions of urban passenger transport in China: A travel behavior and urban form based approach," Applied Energy, Elsevier, vol. 211(C), pages 820-842.
    13. Huo, Hong & Wang, Michael & Zhang, Xiliang & He, Kebin & Gong, Huiming & Jiang, Kejun & Jin, Yuefu & Shi, Yaodong & Yu, Xin, 2012. "Projection of energy use and greenhouse gas emissions by motor vehicles in China: Policy options and impacts," Energy Policy, Elsevier, vol. 43(C), pages 37-48.
    14. Hao, Han & Wang, Hewu & Ouyang, Minggao, 2011. "Fuel conservation and GHG (Greenhouse gas) emissions mitigation scenarios for China’s passenger vehicle fleet," Energy, Elsevier, vol. 36(11), pages 6520-6528.
    15. Roozbeh Jalali & Seama Koohi-Fayegh & Khalil El-Khatib & Daniel Hoornweg & Heng Li, 2017. "Investigating the Potential of Ridesharing to Reduce Vehicle Emissions," Urban Planning, Cogitatio Press, vol. 2(2), pages 26-40.
    16. Jialin Liu & Yi Zhu & Qun Zhang & Fangyan Cheng & Xi Hu & Xinhong Cui & Lang Zhang & Zhenglin Sun, 2020. "Transportation Carbon Emissions from a Perspective of Sustainable Development in Major Cities of Yangtze River Delta, China," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    17. Liu, Xue & Ma, Shoufeng & Tian, Junfang & Jia, Ning & Li, Geng, 2015. "A system dynamics approach to scenario analysis for urban passenger transport energy consumption and CO2 emissions: A case study of Beijing," Energy Policy, Elsevier, vol. 85(C), pages 253-270.
    18. Yuan, Xueliang & Liu, Xin & Zuo, Jian, 2015. "The development of new energy vehicles for a sustainable future: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 298-305.

  90. Bi, Jun & Zhang, Rongrong & Wang, Haikun & Liu, Miaomiao & Wu, Yi, 2011. "The benchmarks of carbon emissions and policy implications for China's cities: Case of Nanjing," Energy Policy, Elsevier, vol. 39(9), pages 4785-4794, September.

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    2. Liu, Zhu & Geng, Yong & Lindner, Soeren & Guan, Dabo, 2012. "Uncovering China’s greenhouse gas emission from regional and sectoral perspectives," Energy, Elsevier, vol. 45(1), pages 1059-1068.
    3. Li, Zheng & Chang, Shiyao & Ma, Linwei & Liu, Pei & Zhao, Lingxiao & Yao, Qiang, 2012. "The development of low-carbon towns in China: Concepts and practices," Energy, Elsevier, vol. 47(1), pages 590-599.
    4. Wang, Chen & Engels, Anita & Wang, Zhaohua, 2018. "Overview of research on China's transition to low-carbon development: The role of cities, technologies, industries and the energy system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1350-1364.
    5. Wang, Saige & Chen, Bin, 2018. "Three-Tier carbon accounting model for cities," Applied Energy, Elsevier, vol. 229(C), pages 163-175.
    6. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    7. Hao, Han & Geng, Yong & Wang, Hewu & Ouyang, Minggao, 2014. "Regional disparity of urban passenger transport associated GHG (greenhouse gas) emissions in China: A review," Energy, Elsevier, vol. 68(C), pages 783-793.
    8. Cai, Bofeng & Lu, Jun & Wang, Jinnan & Dong, Huijuan & Liu, Xiaoman & Chen, Yang & Chen, Zhanming & Cong, Jianhui & Cui, Zhipeng & Dai, Chunyan & Fang, Kai & Feng, Tong & Guo, Jie & Li, Fen & Meng, Fa, 2019. "A benchmark city-level carbon dioxide emission inventory for China in 2005," Applied Energy, Elsevier, vol. 233, pages 659-673.
    9. Gazi Mahabubul Alam & Samsilah Roslan & Abul Quasem Al-Amin & Walter Leal Filho, 2021. "Does GATS’ Influence on Private University Sector’s Growth Ensure ESD or Develop City ‘Sustainability Crisis’—Policy Framework to Respond COP21," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    10. Lin, Jianyi & Liu, Yuan & Meng, Fanxin & Cui, Shenghui & Xu, Lilai, 2013. "Using hybrid method to evaluate carbon footprint of Xiamen City, China," Energy Policy, Elsevier, vol. 58(C), pages 220-227.
    11. Feng, Y.Y. & Chen, S.Q. & Zhang, L.X., 2013. "System dynamics modeling for urban energy consumption and CO2 emissions: A case study of Beijing, China," Ecological Modelling, Elsevier, vol. 252(C), pages 44-52.
    12. Song, Qingbin & Li, Jinhui & Duan, Huabo & Yu, Danfeng & Wang, Zhishi, 2017. "Towards to sustainable energy-efficient city: A case study of Macau," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 504-514.
    13. Guo, Bin & Geng, Yong & Dong, Huijuan & Liu, Yaxuan, 2016. "Energy-related greenhouse gas emission features in China’s energy supply region: the case of Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 15-24.
    14. Geng, Yong & Zhao, Hongyan & Liu, Zhu & Xue, Bing & Fujita, Tsuyoshi & Xi, Fengming, 2013. "Exploring driving factors of energy-related CO2 emissions in Chinese provinces: A case of Liaoning," Energy Policy, Elsevier, vol. 60(C), pages 820-826.
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    16. Zhang, Jiawei & Liu, Miaomiao & Bi, Jun, 2022. "Urban greenhouse gas emission peaking paths and embedded health co-benefits: A multicases comparison study in China," Applied Energy, Elsevier, vol. 311(C).
    17. Chen, Qianli & Cai, Bofeng & Dhakal, Shobhakar & Pei, Sha & Liu, Chunlan & Shi, Xiaoping & Hu, Fangfang, 2017. "CO2 emission data for Chinese cities," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 198-208.
    18. Wang, Miao & Feng, Chao, 2018. "Investigating the drivers of energy-related CO2 emissions in China’s industrial sector: From regional and provincial perspectives," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 136-147.
    19. Liu, Zhu & Liang, Sai & Geng, Yong & Xue, Bing & Xi, Fengming & Pan, Ying & Zhang, Tianzhu & Fujita, Tsuyoshi, 2012. "Features, trajectories and driving forces for energy-related GHG emissions from Chinese mega cites: The case of Beijing, Tianjin, Shanghai and Chongqing," Energy, Elsevier, vol. 37(1), pages 245-254.
    20. Changjian Wang & Fei Wang & Gengzhi Huang & Yang Wang & Xinlin Zhang & Yuyao Ye & Xiaojie Lin & Zhongwu Zhang, 2021. "Examining the Dynamics and Determinants of Energy Consumption in China’s Megacity Based on Industrial and Residential Perspectives," Sustainability, MDPI, vol. 13(2), pages 1-21, January.
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    27. Ming Meng & Manyu Li, 2020. "Decomposition Analysis and Trend Prediction of CO 2 Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 12(7), pages 1-20, March.
    28. Xuecheng Wang & Xu Tang & Zhenhua Feng & Yi Zhang, 2019. "Characterizing the Embodied Carbon Emissions Flows and Ecological Relationships among Four Chinese Megacities and Other Provinces," Sustainability, MDPI, vol. 11(9), pages 1-19, May.
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    1. Chen, Lanxin & Zhang, Fengxuan & Xu, Mingjiao & Zhang, Mei, 2024. "Entanglement dynamics in a mechanically coupled double-cavity enhanced by two-level atomic ensembles," Chaos, Solitons & Fractals, Elsevier, vol. 185(C).

  92. S. Yang & S. Xing & C. Liu & Z. Du & H. Wang & Y. Xu, 2010. "Effects of root pruning on the vegetative growth and fruit quality of Zhanhuadongzao trees," Horticultural Science, Czech Academy of Agricultural Sciences, vol. 37(1), pages 14-21.

    Cited by:

    1. S.J. Yang & Z.Y. Du & Y. Yu & Z.L. Zhang & X.Y. Sun & S.J. Xing, 2011. "Effects of root pruning on physico-chemical characteristics and biological properties of winter jujube rhizosphere soil," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 57(11), pages 493-498.

  93. P. Van Mieghem & H. Wang & X. Ge & S. Tang & F. A. Kuipers, 2010. "Influence of assortativity and degree-preserving rewiring on the spectra of networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 76(4), pages 643-652, August.

    Cited by:

    1. Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2017. "Higher order assortativity in complex networks," European Journal of Operational Research, Elsevier, vol. 262(2), pages 708-719.
    2. Yingbo Wu & Tianrui Zhang & Shan Chen & Tianhui Wang, 2017. "The Minimum Spectral Radius of an Edge-Removed Network: A Hypercube Perspective," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-8, April.
    3. Sreerag Puravankara & Vipin P. Veetil, 2025. "When Is Degree Enough? Bounds on Degree-Eigenvector Misalignment in Assortative Structured Networks," Papers 2601.00807, arXiv.org, revised Mar 2026.
    4. Yuan, Yelie & Yan, Jun & Zhang, Panpan, 2024. "A strength and sparsity preserving algorithm for generating weighted, directed networks with predetermined assortativity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 638(C).
    5. Wang, Dong & Small, Michael & Zhao, Yi, 2021. "Exploring the optimal network topology for spreading dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
    6. Lourens J. Waldorp & Verena D. Schmittmann, 2015. "Computing Assortative Mixing by Degree with the s‐Metric in Networks Using Linear Programming," Journal of Applied Mathematics, John Wiley & Sons, vol. 2015(1).
    7. Li, Yinwei & Jiang, Guo-Ping & Wu, Meng & Song, Yu-Rong & Wang, Haiyan, 2021. "Undirected Congruence Model: Topological characteristics and epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
    8. Manfred Füllsack & Daniel Reisinger & Raven Adam & Marie Kapeller & Georg Jäger, 2023. "Predicting critical transitions in assortative spin-shifting networks," PLOS ONE, Public Library of Science, vol. 18(2), pages 1-15, February.
    9. Wang, Xiangrong & Trajanovski, Stojan & Kooij, Robert E. & Van Mieghem, Piet, 2016. "Degree distribution and assortativity in line graphs of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 445(C), pages 343-356.
    10. Arcagni, Alberto & Cerqueti, Roy & Grassi, Rosanna, 2024. "Higher-order assortativity for directed weighted networks and Markov chains," European Journal of Operational Research, Elsevier, vol. 316(1), pages 215-227.
    11. Arcagni, Alberto & Grassi, Rosanna & Stefani, Silvana & Torriero, Anna, 2021. "Extending assortativity: An application to weighted social networks," Journal of Business Research, Elsevier, vol. 129(C), pages 774-783.
    12. M. L. Bertotti & G. Modanese, 2019. "The Bass Diffusion Model on Finite Barabasi-Albert Networks," Complexity, Hindawi, vol. 2019, pages 1-12, April.
    13. Tomassini, Marco, 2023. "Rewiring or adding links: A real-world case study of network vulnerability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).

  94. Max Hofheinz & H. Wang & M. Ansmann & Radoslaw C. Bialczak & Erik Lucero & M. Neeley & A. D. O'Connell & D. Sank & J. Wenner & John M. Martinis & A. N. Cleland, 2009. "Synthesizing arbitrary quantum states in a superconducting resonator," Nature, Nature, vol. 459(7246), pages 546-549, May.

    Cited by:

    1. W. C. Smith & A. Borgognoni & M. Villiers & E. Roverc’h & J. Palomo & M. R. Delbecq & T. Kontos & P. Campagne-Ibarcq & B. Douçot & Z. Leghtas, 2025. "Spectral signature of high-order photon processes enhanced by Cooper-pair pairing," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    2. Shivangi Dhiman & Korbinian Rubenbauer & Thomas Luschmann & Achim Marx & A. Metelmann & Hans Huebl, 2026. "Self sustained oscillations of a nonlinear optomechanical system in the low excitation regime," Nature Communications, Nature, vol. 17(1), pages 1-8, December.
    3. Ming-Han Chou & Hong Qiao & Haoxiong Yan & Gustav Andersson & Christopher R. Conner & Joel Grebel & Yash J. Joshi & Jacob M. Miller & Rhys G. Povey & Xuntao Wu & Andrew N. Cleland, 2025. "Deterministic multi-phonon entanglement between two mechanical resonators on separate substrates," Nature Communications, Nature, vol. 16(1), pages 1-7, December.
    4. Fernando Valadares & Ni-Ni Huang & Kyle Timothy Ng Chu & Aleksandr Dorogov & Weipin Chua & Lingda Kong & Pengtao Song & Yvonne Y. Gao, 2024. "On-demand transposition across light-matter interaction regimes in bosonic cQED," Nature Communications, Nature, vol. 15(1), pages 1-7, December.
    5. X. L. He & Yong Lu & D. Q. Bao & Hang Xue & W. B. Jiang & Z. Wang & A. F. Roudsari & Per Delsing & J. S. Tsai & Z. R. Lin, 2023. "Fast generation of Schrödinger cat states using a Kerr-tunable superconducting resonator," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    6. Axel M. Eriksson & Théo Sépulcre & Mikael Kervinen & Timo Hillmann & Marina Kudra & Simon Dupouy & Yong Lu & Maryam Khanahmadi & Jiaying Yang & Claudia Castillo-Moreno & Per Delsing & Simone Gasparine, 2024. "Universal control of a bosonic mode via drive-activated native cubic interactions," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    7. Clinton A. Potts & Wilfred J. M. Franse & Victor Augusto S. V. Bittencourt & Anja Metelmann & Gary A. Steele, 2025. "Generation of large amplitude phonon states in quantum acoustics," Nature Communications, Nature, vol. 16(1), pages 1-6, December.

  95. Hamadène, S. & Wang, H., 2009. "BSDEs with two RCLL reflecting obstacles driven by Brownian motion and Poisson measure and a related mixed zero-sum game," Stochastic Processes and their Applications, Elsevier, vol. 119(9), pages 2881-2912, September.
    See citations under working paper version above.
  96. Markus Ansmann & H. Wang & Radoslaw C. Bialczak & Max Hofheinz & Erik Lucero & M. Neeley & A. D. O'Connell & D. Sank & M. Weides & J. Wenner & A. N. Cleland & John M. Martinis, 2009. "Violation of Bell's inequality in Josephson phase qubits," Nature, Nature, vol. 461(7263), pages 504-506, September.

    Cited by:

    1. Carlos Vieira & Ravishankar Ramanathan & Adán Cabello, 2025. "Test of the physical significance of Bell non-locality," Nature Communications, Nature, vol. 16(1), pages 1-7, December.

  97. B Alidaee & H Wang, 2009. "‘Preventive maintenance scheduling of multi-cogeneration plants using integer programming’," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1295-1297, September.

    Cited by:

    1. Khaled Alhamad & Rym M’Hallah & Cormac Lucas, 2021. "A Mathematical Program for Scheduling Preventive Maintenance of Cogeneration Plants with Production," Mathematics, MDPI, vol. 9(14), pages 1-12, July.

  98. H. Wang & Y. Dong & Y. Wang & Q. Liu, 2008. "Water Right Institution and Strategies of the Yellow River Valley," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(10), pages 1499-1519, October.

    Cited by:

    1. Eduardo Araral & Yahua Wang, 2013. "Water Governance 2.0: A Review and Second Generation Research Agenda," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(11), pages 3945-3957, September.
    2. Xike Guan & Zengchuan Dong & Yun Luo & Dunyu Zhong, 2021. "Multi-Objective Optimal Allocation of River Basin Water Resources under Full Probability Scenarios Considering Wet–Dry Encounters: A Case Study of Yellow River Basin," IJERPH, MDPI, vol. 18(21), pages 1-19, November.
    3. Chun Xia & Claudia Pahl-Wostl, 2012. "The Development of Water Allocation Management in The Yellow River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3395-3414, September.
    4. Li Zhang & Shao Jia & Chi Leung & Li Guo, 2013. "An Analysis on the Transaction Costs of Water Markets under DPA and UPA Auctions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(2), pages 475-484, January.
    5. Nadine Wittmann, 2014. "A Microeconomic Perspective on Water Resources Management: Analyzing the Effects on Optimal Land Rents Along a River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1309-1325, March.
    6. Guo, Daxin & Olesen, Jørgen Eivind & Manevski, Kiril & Ma, Xiaoyi, 2021. "Optimizing irrigation schedule in a large agricultural region under different hydrologic scenarios," Agricultural Water Management, Elsevier, vol. 245(C).

  99. Max Hofheinz & E. M. Weig & M. Ansmann & Radoslaw C. Bialczak & Erik Lucero & M. Neeley & A. D. O’Connell & H. Wang & John M. Martinis & A. N. Cleland, 2008. "Generation of Fock states in a superconducting quantum circuit," Nature, Nature, vol. 454(7202), pages 310-314, July.

    Cited by:

    1. Axel M. Eriksson & Théo Sépulcre & Mikael Kervinen & Timo Hillmann & Marina Kudra & Simon Dupouy & Yong Lu & Maryam Khanahmadi & Jiaying Yang & Claudia Castillo-Moreno & Per Delsing & Simone Gasparine, 2024. "Universal control of a bosonic mode via drive-activated native cubic interactions," Nature Communications, Nature, vol. 15(1), pages 1-9, December.
    2. Clinton A. Potts & Wilfred J. M. Franse & Victor Augusto S. V. Bittencourt & Anja Metelmann & Gary A. Steele, 2025. "Generation of large amplitude phonon states in quantum acoustics," Nature Communications, Nature, vol. 16(1), pages 1-6, December.

  100. H. Wang & K. Sassa & W. Xu, 2007. "Analysis of a spatial distribution of landslides triggered by the 2004 Chuetsu earthquakes of Niigata Prefecture, Japan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 41(1), pages 43-60, April.

    Cited by:

    1. Wen-Tzu Lin & Wen-Chieh Chou & Chao-Yuan Lin, 2008. "Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: a case study in central Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 47(3), pages 331-347, December.
    2. Hailin He & Xiujun Dong & Simin Du & Hua Guo & Yue Yan & Guohui Chen, 2024. "Study on the Stability of Cut Slopes Caused by Rural Housing Construction in Red Bed Areas: A Case Study of Wanyuan City, China," Sustainability, MDPI, vol. 16(3), pages 1-17, February.
    3. Y. Bouhadad & A. Benhamouche & H. Bourenane & A. Ait Ouali & M. Chikh & N. Guessoum, 2010. "The Laalam (Algeria) damaging landslide triggered by a moderate earthquake (M w = 5.2)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 54(2), pages 261-272, August.
    4. Maria Karpouza & Konstantinos Chousianitis & George D. Bathrellos & Hariklia D. Skilodimou & George Kaviris & Assimina Antonarakou, 2021. "Hazard zonation mapping of earthquake-induced secondary effects using spatial multi-criteria analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 637-669, October.
    5. Jun Wang & Zhihua Wang & Hongbin Cheng & Junmei Kang & Xiaoliang Liu, 2022. "Land Cover Changing Pattern in Pre- and Post-Earthquake Affected Area from Remote Sensing Data: A Case of Lushan County, Sichuan Province," Land, MDPI, vol. 11(8), pages 1-24, July.
    6. Chong Xu & Xiwei Xu, 2014. "Statistical analysis of landslides caused by the Mw 6.9 Yushu, China, earthquake of April 14, 2010," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 72(2), pages 871-893, June.
    7. Weihua Zhao & Runqiu Huang & Nengpan Ju & Jianjun Zhao, 2014. "Assessment model for earthquake-triggered landslides based on quantification theory I: case study of Jushui River basin in Sichuan, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(1), pages 821-838, January.
    8. Junmei Kang & Zhihua Wang & Hongbin Cheng & Jun Wang & Xiaoliang Liu, 2022. "Remote Sensing Land Use Evolution in Earthquake-Stricken Regions of Wenchuan County, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    9. Muhammad Basharat & Abid Ali & Ishtiaq A. K. Jadoon & Joachim Rohn, 2016. "Using PCA in evaluating event-controlling attributes of landsliding in the 2005 Kashmir earthquake region, NW Himalayas, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1999-2017, April.

  101. H Wang & W Wang & K A H Kobaccy, 2007. "Analysis and design of returns policies from a supplier's perspective," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(3), pages 391-401, March.

    Cited by:

    1. Lauren Skinner Beitelspacher & Thomas L. Baker & Adam Rapp & Dhruv Grewal, 2018. "Understanding the long-term implications of retailer returns in business-to-business relationships," Journal of the Academy of Marketing Science, Springer, vol. 46(2), pages 252-272, March.
    2. Ülkü, M. Ali & Gürler, Ülkü, 2018. "The impact of abusing return policies: A newsvendor model with opportunistic consumers," International Journal of Production Economics, Elsevier, vol. 203(C), pages 124-133.
    3. J-M Chen & H-L Cheng & I-C Lin, 2011. "On channel coordination under price-dependent revenue-sharing: can eBay's fee structure coordinate the channel?," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1992-2001, November.
    4. Wei Pan & Ying Guo & Wenji Zhang & Lei Jin & Shujie Liao, 2018. "Order policy for emergency medicine with return uncertainty in a closed-loop supply chain," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-24, October.

  102. Y. Zong & Z. Chen & J. B. Innes & C. Chen & Z. Wang & H. Wang, 2007. "Fire and flood management of coastal swamp enabled first rice paddy cultivation in east China," Nature, Nature, vol. 449(7161), pages 459-462, September.

    Cited by:

    1. Yufeng Luo & Haolong Fu & Seydou Traore, 2014. "Biodiversity Conservation in Rice Paddies in China: Toward Ecological Sustainability," Sustainability, MDPI, vol. 6(9), pages 1-18, September.
    2. John H Matthews & Bart AJ Wickel & Sarah Freeman, 2011. "Converging Currents in Climate-Relevant Conservation: Water, Infrastructure, and Institutions," PLOS Biology, Public Library of Science, vol. 9(9), pages 1-4, September.
    3. Longbin Sha & Xianfu Li & Jiabing Tang & Junwu Shu & Weiming Wang & Dongling Li, 2020. "Early to Mid-Holocene Palaeoenvironment Change and Sedimentary Evolution in the Xianghu Area, Zhejiang," IJERPH, MDPI, vol. 17(19), pages 1-14, September.
    4. An Lijie & Hu Jiajia & Li Qiong & Kim Dong-Joo, 2022. "Evaluating the Impacts of Rice Technological Innovation on the Social Economy," SAGE Open, , vol. 12(4), pages 21582440221, December.
    5. Menefee, Trey, 2025. "A Song of Rice and Fire: The Ashline, Feedback Loops, and the Recursive Enclosure of Rice," SocArXiv 3jy4h_v1, Center for Open Science.
    6. Yingying Wu & Can Wang & Zhaoyang Zhang & Yong Ge, 2022. "Subsistence, Environment, and Society in the Taihu Lake Area during the Neolithic Era from a Dietary Perspective," Land, MDPI, vol. 11(8), pages 1-27, August.
    7. John H Matthews & Frederick Boltz, 2012. "The Shifting Boundaries of Sustainability Science: Are We Doomed Yet?," PLOS Biology, Public Library of Science, vol. 10(6), pages 1-4, June.

  103. H. Wang, 2004. "An empirical study on using decision support systems to solve very large choice decision problems," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 1(4), pages 375-389.

    Cited by:

    1. Borong Zou & Hong Wang & Hui Li & Ling Li & Yuhan Zhao, 2022. "Predicting stock index movement using twin support vector machine as an integral part of enterprise system," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 428-439, May.

  104. Shao J. & Wang H., 2002. "Sample Correlation Coefficients Based on Survey Data Under Regression Imputation," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 544-552, June.

    Cited by:

    1. Chauvet, Guillaume & Do Paco, Wilfried, 2018. "Exact balanced random imputation for sample survey data," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 1-16.
    2. Zhou, Jing & Lan, Wei & Wang, Hansheng, 2022. "Asymptotic covariance estimation by Gaussian random perturbation," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
    3. Gelein, Brigitte & Haziza, David & Causeur, David, 2014. "Preserving relationships between variables with MIVQUE based imputation for missing survey data," Journal of Multivariate Analysis, Elsevier, vol. 131(C), pages 197-208.
    4. Van Hua & Thu Nguyen & Minh-Son Dao & Hien D Nguyen & Binh T Nguyen, 2024. "The impact of data imputation on air quality prediction problem," PLOS ONE, Public Library of Science, vol. 19(9), pages 1-39, September.
    5. Ralf Münnich & Siegfried Gabler & Christian Bruch & Jan Pablo Burgard & Tobias Enderle & Jan-Philipp Kolb & Thomas Zimmermann, 2015. "Tabellenauswertungen im Zensus unter Berücksichtigung fehlender Werte," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(3), pages 269-304, December.

  105. Vonesh E. F. & Wang H. & Nie L. & Majumdar D., 2002. "Conditional Second-Order Generalized Estimating Equations for Generalized Linear and Nonlinear Mixed-Effects Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 271-283, March.

    Cited by:

    1. Kheradmandi, Ameneh & Rasekh, Abdolrahman, 2015. "Estimation in skew-normal linear mixed measurement error models," Journal of Multivariate Analysis, Elsevier, vol. 136(C), pages 1-11.
    2. Stephen Toit & Robert Cudeck, 2009. "Estimation of the Nonlinear Random Coefficient Model when Some Random Effects Are Separable," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 65-82, March.
    3. Wu, Lang, 2007. "A computationally efficient method for nonlinear mixed-effects models with nonignorable missing data in time-varying covariates," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2410-2419, February.
    4. Francis K. C. Hui & Samuel Müller & A. H. Welsh, 2017. "Joint Selection in Mixed Models using Regularized PQL," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1323-1333, July.
    5. Lee, Sik-Yum & Xu, Liang, 2004. "Influence analyses of nonlinear mixed-effects models," Computational Statistics & Data Analysis, Elsevier, vol. 45(2), pages 321-341, March.
    6. Mengfei Ran & Yihe Yang, 2022. "Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model," Mathematics, MDPI, vol. 10(22), pages 1-28, November.
    7. Li, Daniel H. & Wang, Liqun, 2016. "A weighted simulation-based estimator for incomplete longitudinal data models," Statistics & Probability Letters, Elsevier, vol. 113(C), pages 16-22.
    8. Kalyan Das & Angshuman Sarkar, 2014. "Robust inference for generalized partially linear mixed models that account for censored responses and missing covariates -- an application to Arctic data analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2418-2436, November.
    9. Geraci, Marco, 2019. "Modelling and estimation of nonlinear quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 136(C), pages 30-46.
    10. Liu, Wei & Wu, Lang, 2008. "A semiparametric nonlinear mixed-effects model with non-ignorable missing data and measurement errors for HIV viral data," Computational Statistics & Data Analysis, Elsevier, vol. 53(1), pages 112-122, September.
    11. Hongbin Zhang & Lang Wu, 2019. "An approximate method for generalized linear and nonlinear mixed effects models with a mechanistic nonlinear covariate measurement error model," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 82(4), pages 471-499, May.
    12. Zhi Tang & Yang Yu, 2023. "American Economic Stakeholder Sentiments towards Chinese Firms’ Innovation Capability: The Role of State Political Environment and Firm Ownership," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    13. Karim Zare & Abdolrahman Rasekh & Ali Rasekhi, 2012. "Estimation of variance components in linear mixed measurement error models," Statistical Papers, Springer, vol. 53(4), pages 849-863, November.
    14. Cui, Hengjian & Ng, Kai W. & Zhu, Lixing, 2004. "Estimation in mixed effects model with errors in variables," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 53-73, October.
    15. Kunling Wu & Lang Wu, 2007. "Generalized linear mixed models with informative dropouts and missing covariates," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 66(1), pages 1-18, July.

  106. Vonesh E. F & Wang H. & Majumdar D., 2001. "Generalized Least Squares, Taylor Series Linearization and Fishers Scoring in Multivariate Nonlinear Regression," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 282-291, March.

    Cited by:

    1. Anikó Ujhelyi Nagy & Ildikó Kuritár Szabó & Endre Hann & Karolina Kósa, 2019. "Measuring the Prevalence of Adverse Childhood Experiences by Survey Research Methods," IJERPH, MDPI, vol. 16(6), pages 1-17, March.
    2. Helenowski Irene B & Vonesh Edward F & Demirtas Hakan & Rademaker Alfred W & Ananthanarayanan Vijayalakshmi & Gann Peter H & Jovanovic Borko D, 2011. "Defining Reproducibility Statistics as a Function of the Spatial Covariance Structures in Biomarker Studies," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-21, January.

  107. H. Wang & H. Pham, 1999. "Some maintenance models and availability withimperfect maintenance in production systems," Annals of Operations Research, Springer, vol. 91(0), pages 305-318, January.

    Cited by:

    1. Marais, Karen B. & Saleh, Joseph H., 2009. "Beyond its cost, the value of maintenance: An analytical framework for capturing its net present value," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 644-657.
    2. Rung-Hung Su & Ming-Wei Weng & Yung-Fu Huang, 2020. "Innovative maintenance problem in a two-stage production-inventory system with imperfect processes," Annals of Operations Research, Springer, vol. 287(1), pages 379-401, April.
    3. Amir Hossein Nobil & Amir Hosein Afshar Sedigh & Leopoldo Eduardo Cárdenas-Barrón, 2020. "A multiproduct single machine economic production quantity (EPQ) inventory model with discrete delivery order, joint production policy and budget constraints," Annals of Operations Research, Springer, vol. 286(1), pages 265-301, March.
    4. Monika Saini & Ashish Kumar & Dinesh Kumar Saini & Punit Gupta, 2023. "Availability optimization of power generating units used in sewage treatment plants using metaheuristic techniques," PLOS ONE, Public Library of Science, vol. 18(5), pages 1-22, May.
    5. Lin, Zu-Liang & Huang, Yeu-Shiang & Fang, Chih-Chiang, 2015. "Non-periodic preventive maintenance with reliability thresholds for complex repairable systems," Reliability Engineering and System Safety, Elsevier, vol. 136(C), pages 145-156.
    6. Sarang Deo & Seyed Iravani & Tingting Jiang & Karen Smilowitz & Stephen Samuelson, 2013. "Improving Health Outcomes Through Better Capacity Allocation in a Community-Based Chronic Care Model," Operations Research, INFORMS, vol. 61(6), pages 1277-1294, December.
    7. Levitin, Gregory & Finkelstein, Maxim & Dai, Yuanshun, 2018. "Heterogeneous standby systems with shocks-driven preventive replacements," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1189-1197.
    8. Nooshin Salari & Viliam Makis, 2020. "Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system," Annals of Operations Research, Springer, vol. 287(1), pages 351-377, April.
    9. Faraz Qasim & Doug Hyung Lee & Jongkuk Won & Jin-Kuk Ha & Sang Jin Park, 2021. "Development of Advanced Advisory System for Anomalies (AAA) to Predict and Detect the Abnormal Operation in Fired Heaters for Real Time Process Safety and Optimization," Energies, MDPI, vol. 14(21), pages 1-24, November.
    10. Reza Ahmadi, 2014. "Optimal maintenance scheduling for a complex manufacturing system subject to deterioration," Annals of Operations Research, Springer, vol. 217(1), pages 1-29, June.
    11. Ahmadi, Reza & Newby, Martin, 2011. "Maintenance scheduling of a manufacturing system subject to deterioration," Reliability Engineering and System Safety, Elsevier, vol. 96(10), pages 1411-1420.
    12. Chaabane, K. & Khatab, A. & Diallo, C. & Aghezzaf, E.-H. & Venkatadri, U., 2020. "Integrated imperfect multimission selective maintenance and repairpersons assignment problem," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    13. Levitin, Gregory & Finkelstein, Maxim & Dai, Yuanshun, 2018. "Optimizing availability of heterogeneous standby systems exposed to shocks," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 137-145.
    14. Shey-Huei Sheu & Chin-Chih Chang & Yu-Hung Chien, 2011. "Optimal age-replacement time with minimal repair based on cumulative repair-cost limit for a system subject to shocks," Annals of Operations Research, Springer, vol. 186(1), pages 317-329, June.

Chapters

    Sorry, no citations of chapters recorded.

Books

  1. Wang, H. & Pandey, S. & Velarde, O. & Hardy, B. (ed.), 2012. "Patterns of Varietal Adoption and Economics of Rice Production in Asia," IRRI Books, International Rice Research Institute (IRRI), number 164469.

    Cited by:

    1. Yorobe, Jose Jr & Pede, Valerien & Rejesus, Roderick & Velarde, Orlee & Wang, Huaiyu & Ali, Jauhar, 2014. "Yield and Income Effects of the Green Super Rice (GSR) Varieties: Evidence from a Fixed-Effects Model in the Philippines," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169635, Agricultural and Applied Economics Association.

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