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Dong-hyun Oh

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. Dong-hyun Oh & Almas Heshmati & Hans Loof, 2009. "Technical Change and Total Factor Productivity Growth for Swedish Manufacturing and Service Industries," TEMEP Discussion Papers 200912, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.

    Cited by:

    1. Dong-hyun Oh & Almas Heshmati & Hans Loof, 2009. "Technical Change and Total Factor Productivity Growth for Swedish Manufacturing and Service Industries," TEMEP Discussion Papers 200912, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Sep 2009.
    2. Sunde, Uwe & Cervellati, Matteo, 2013. "The Economic and Demographic Transition, Mortality, and Comparative Development," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 80053, Verein für Socialpolitik / German Economic Association.
    3. Almas Heshmati & Masoomeh Rashidghalam, 2020. "Estimation of technical change and TFP growth based on observable technology shifters," Journal of Productivity Analysis, Springer, vol. 53(1), pages 21-36, February.
    4. Sauer, Johannes & Park, Timothy A. & Graversen, Jesper T., 2007. "Organic Farming In Denmark-Productivity, Technical Change And Market Exit," 47th Annual Conference, Weihenstephan, Germany, September 26-28, 2007 7618, German Association of Agricultural Economists (GEWISOLA).
    5. Sauer, Johannes & Graversen, Jesper T. & Park, Timothy A., 2006. "Breathtaking or Stagnating? - Productivity, Technical Change and Structural Dynamics in Danish Organic Farming," 2006 Annual meeting, July 23-26, Long Beach, CA 21481, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Sun, Zhe & Zhao, Liang & Kaur, Puneet & Islam, Nazrul & Dhir, Amandeep, 2023. "Theorizing the relationship between the digital economy and firm productivity: The idiosyncrasies of firm-specific contexts," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    7. Oh, Dong-hyun, 2015. "Productivity growth, technical change and economies of scale of Korean fossil-fuel generation companies, 2001–2012: A dual approach," Energy Economics, Elsevier, vol. 49(C), pages 113-121.
    8. Triebs, T.P. & Kumbhakar, S.C., 2013. "Productivity with general indices of management and technical change," Economics Letters, Elsevier, vol. 120(1), pages 18-22.
    9. Almas Heshmati & Subal C. Kumbhakar, 2014. "A general model of technical change with an application to the OECD countries," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 23(1), pages 25-48, January.
    10. Pontus Mattsson & Jonas Månsson & William H. Greene, 2020. "TFP change and its components for Swedish manufacturing firms during the 2008–2009 financial crisis," Journal of Productivity Analysis, Springer, vol. 53(1), pages 79-93, February.
    11. Warda, Peter, 2013. "Labor Decomposition: A Firm Level Analysis on Import Quality and Labor Demand," Working Paper Series in Economics and Institutions of Innovation 322, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    12. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. Marijn Verschelde & Michel Dumont & Bruno Merlevede & Glenn Rayp, 2014. "A constrained nonparametric regression analysis of factor-biased technical change and TFP growth at the firm level," Working Paper Research 266, National Bank of Belgium.
    14. Ma, Xuejiao & Jiang, Ping & Jiang, Qichuan, 2020. "Research and application of association rule algorithm and an optimized grey model in carbon emissions forecasting," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    15. Gugler, Klaus & Liebensteiner, Mario, 2019. "Productivity growth and incentive regulation in Austria's gas distribution," Energy Policy, Elsevier, vol. 134(C).
    16. Hou, Zheng & Roseta-Palma, Catarina & Ramalho, Joaquim José dos Santos, 2021. "Does directed technological change favor energy? Firm-level evidence from Portugal," Energy Economics, Elsevier, vol. 98(C).
    17. Alemayehu, Fikru K. & Kumbhakar, Subal C. & Landazuri Tveteraas, Sigbjørn, 2022. "Estimation of staff use efficiency: Evidence from the hospitality industry," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    18. Xinyue Lin & Lingli Qi & Haoran Pan & Basil Sharp, 2022. "COVID-19 Pandemic, Technological Progress and Food Security Based on a Dynamic CGE Model," Sustainability, MDPI, vol. 14(3), pages 1-18, February.

  2. Oh, Donghyun & Heshmati, Almas, 2009. "A Sequential Malmquist-Luenberger Productivity Index," IZA Discussion Papers 4199, Institute of Labor Economics (IZA).

    Cited by:

    1. Kabata, Tshepelayi, 2011. "The US Agriculture Greenhouse Emissions and Environmental Performance," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103427, Agricultural and Applied Economics Association.

  3. Oh, Dong-Huyn, 2009. "A Global Malmquist-Luenberger Productivity Index - an application to OECD countries 1990-2004," Working Paper Series in Economics and Institutions of Innovation 164, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

    Cited by:

    1. Dubrocard, Anne & Prombo, Michel, 2012. "International comparison of Environmental performance," MPRA Paper 48072, University Library of Munich, Germany, revised 05 Jul 2013.
    2. Zha, Jianping & He, Lamei & Liu, Yang & Shao, Yuhong, 2019. "Evaluation on development efficiency of low-carbon tourism economy: A case study of Hubei Province, China," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 47-57.

  4. Iversen, Eric & Mäkinen, Iiro & Lööf, Hans & Oh, Dong-Hyun & Jespersen, Svend & Junge, Martin & Bech, Jonas, 2009. "Small Nordic Enterprises - developing IPR in global competition," Working Paper Series in Economics and Institutions of Innovation 178, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.

    Cited by:

    1. Jan-Bart Vervenne & Julie Callaert & Machteld Hoskens & Bart Looy, 2022. "To what extent do SMEs contribute to Europe’s patent stock? A methodological outline for creating a Europe-wide SME technology indicator," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3049-3082, June.

  5. Dong-hyun Oh & Almas Heshmati & Hans Loof, 2009. "Total Factor Productivity of Korean Manufacturing Industries: Comparison of Competing Models with Firm-Level Data," TEMEP Discussion Papers 200922, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.

    Cited by:

    1. Lopamudra D. Satpathy & Bani Chatterjee & Jitendra Mahakud, 2017. "Firm Characteristics and Total Factor Productivity: Evidence from Indian Manufacturing Firms," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(1), pages 77-98, February.
    2. Nicholas Tsounis & Ian Steedman, 2021. "A New Method for Measuring Total Factor Productivity Growth Based on the Full Industry Equilibrium Approach: The Case of the Greek Economy," Economies, MDPI, vol. 9(3), pages 1-21, August.
    3. Abdoulaye Kané, 2022. "Measurement of total factor productivity: Evidence from French construction firms," EconomiX Working Papers 2022-9, University of Paris Nanterre, EconomiX.
    4. Edquist, Harald & Henrekson, Magnus, 2016. "Do R&D and ICT Affect Total Factor Productivity Growth Differently?," Working Paper Series 1108, Research Institute of Industrial Economics, revised 28 Nov 2016.
    5. Khayyat, Nabaz T. & Lee, Jongsu & Lee, Jeong-Dong, 2014. "How ICT Investment Influences Energy Demand in South Korea and Japan?," MPRA Paper 55454, University Library of Munich, Germany.
    6. Oh, Dong-hyun & Lee, Yong-Gil, 2016. "Productivity decomposition and economies of scale of Korean fossil-fuel power generation companies: 2001–2012," Energy, Elsevier, vol. 100(C), pages 1-9.
    7. Subal Kumbhakar & Kai Sun, 2012. "Estimation of TFP growth: a semiparametric smooth coefficient approach," Empirical Economics, Springer, vol. 43(1), pages 1-24, August.

Articles

  1. Lee, Sang-choon & Oh, Dong-hyun & Lee, Jeong-dong, 2014. "A new approach to measuring shadow price: Reconciling engineering and economic perspectives," Energy Economics, Elsevier, vol. 46(C), pages 66-77.

    Cited by:

    1. Sugathan, Anish & Bhangale, Ritesh & Kansal, Vishal & Hulke, Unmil, 2018. "How can Indian power plants cost-effectively meet the new sulfur emission standards? Policy evaluation using marginal abatement cost-curves," Energy Policy, Elsevier, vol. 121(C), pages 124-137.
    2. Zdenka ZAKOVA KROUPOVA & Lukas CECHURA & Michaela HAVLIKOVA & Pavlina HALOVA & Michal MALY, 2018. "Shadow prices of greenhouse gas emissions: An application to the Czech dairy production," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 64(7), pages 291-300.
    3. Zhou, X. & Fan, L.W. & Zhou, P., 2015. "Marginal CO2 abatement costs: Findings from alternative shadow price estimates for Shanghai industrial sectors," Energy Policy, Elsevier, vol. 77(C), pages 109-117.
    4. Ji, D.J. & Zhou, P., 2020. "Marginal abatement cost, air pollution and economic growth: Evidence from Chinese cities," Energy Economics, Elsevier, vol. 86(C).
    5. Lee, Chia-Yen & Zhou, Peng, 2015. "Directional shadow price estimation of CO2, SO2 and NOx in the United States coal power industry 1990–2010," Energy Economics, Elsevier, vol. 51(C), pages 493-502.
    6. Dong-Hyun Oh & JongWuk Ahn & Sinwoo Lee & Hyundo Choi, 2021. "Measuring technical inefficiency and CO2 shadow price of Korean fossil-fuel generation companies using deterministic and stochastic approaches," Energy & Environment, , vol. 32(3), pages 403-423, May.
    7. Karanfil, Fatih & Pierru, Axel, 2021. "The opportunity cost of domestic oil consumption for an oil exporter: Illustration for Saudi Arabia," Energy Economics, Elsevier, vol. 96(C).
    8. Surender Kumar & Rakesh Kumar Jain, 2018. "Shadow Price of CO 2 Emissions in Indian Thermal Power Sector," Working Papers id:12791, eSocialSciences.
    9. Jayanath Ananda & Dong-hyun Oh, 2023. "Assessing environmentally sensitive productivity growth: incorporating externalities and heterogeneity into water sector evaluations," Journal of Productivity Analysis, Springer, vol. 59(1), pages 45-60, February.
    10. Hai-Ying Gu & Qing-Mi Hu & Tian-Qiong Wang, 2019. "Payment for Rice Growers to Reduce Using N Fertilizer in the GHG Mitigation Program Driven by the Government: Evidence from Shanghai," Sustainability, MDPI, vol. 11(7), pages 1-17, April.
    11. Min Li & Tianyuan Zheng & Jian Zhang & Yunhai Fang & Jiang Liu & Xilai Zheng & Hui Peng, 2019. "A New Risk Assessment System Based on Set Pair Analysis – Variable Fuzzy Sets for Underground Reservoirs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(15), pages 4997-5014, December.
    12. Bei Gao & Zuoren Sun, 2023. "Marginal CO 2 and SO 2 Abatement Costs and Determinants of Coal-Fired Power Plants in China: Considering a Two-Stage Production System with Different Emission Reduction Approaches," Energies, MDPI, vol. 16(8), pages 1-26, April.
    13. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
    14. Wu, Yinyin & Yu, Jie & Song, Malin & Chen, Jiandong & Hou, Wenxuan, 2021. "Shadow prices of industrial air pollutant emissions in China," Economic Modelling, Elsevier, vol. 94(C), pages 726-736.
    15. Zeng, Siyu & Chen, Xing & Dong, Xin & Liu, Yi, 2017. "Efficiency assessment of urban wastewater treatment plants in China: Considering greenhouse gas emissions," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 157-165.
    16. Podinovski, Victor V., 2019. "Direct estimation of marginal characteristics of nonparametric production frontiers in the presence of undesirable outputs," European Journal of Operational Research, Elsevier, vol. 279(1), pages 258-276.
    17. Rødseth, Kenneth Løvold, 2023. "Shadow pricing of electricity generation using stochastic and deterministic materials balance models," Applied Energy, Elsevier, vol. 341(C).
    18. Xian, Yujiao & Wang, Ke & Wei, Yi-Ming & Huang, Zhimin, 2019. "Would China’s power industry benefit from nationwide carbon emission permit trading? An optimization model-based ex post analysis on abatement cost savings," Applied Energy, Elsevier, vol. 235(C), pages 978-986.
    19. Kuosmanen, Timo & Zhou, Xun, 2021. "Shadow prices and marginal abatement costs: Convex quantile regression approach," European Journal of Operational Research, Elsevier, vol. 289(2), pages 666-675.
    20. Shirong Zhao & Guangshun Qiao, 2022. "The shadow prices of CO2, SO2 and NOx for U.S. coal power industry 2010–2017: a convex quantile regression method," Journal of Productivity Analysis, Springer, vol. 57(3), pages 243-253, June.
    21. Wu, F. & Wang, S.Y. & Zhou, P., 2023. "Marginal abatement cost of carbon dioxide emissions: The role of abatement options," European Journal of Operational Research, Elsevier, vol. 310(2), pages 891-901.
    22. Yalan Shi & Miaojing Yu, 2021. "Assessing the Environmental Impact and Cost of the Tourism-Induced CO 2 , NO x , SO x Emission in China," Sustainability, MDPI, vol. 13(2), pages 1-19, January.
    23. Rødseth, Kenneth Løvold, 2023. "Noise pollution of container handling: External and abatement costs and environmental efficiency," Transport Policy, Elsevier, vol. 134(C), pages 82-93.
    24. Quinn, Barry & Gallagher, Ronan & Kuosmanen, Timo, 2023. "Lurking in the shadows: The impact of CO2 emissions target setting on carbon pricing in the Kyoto agreement period," Energy Economics, Elsevier, vol. 118(C).

  2. Dong-hyun Oh & Jeong-dong Lee, 2010. "A metafrontier approach for measuring Malmquist productivity index," Empirical Economics, Springer, vol. 38(1), pages 47-64, February.

    Cited by:

    1. Walheer, Barnabé, 2018. "Disaggregation of the cost Malmquist productivity index with joint and output-specific inputs," Omega, Elsevier, vol. 75(C), pages 1-12.
    2. Panagiotis Mitropoulos & Alexandros Mitropoulos, 2023. "Evaluating efficiency and technology gaps of the national systems of entrepreneurship using stochastic DEA and club convergence," Operational Research, Springer, vol. 23(1), pages 1-28, March.
    3. Shih-Liang Chao & Chun-Wei Lai, 2019. "Comparing the efficiency of alliance members and independent liner carriers: a metafrontier analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 21(2), pages 157-172, June.
    4. 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.
    5. Yung-Hsiang LU & Ku-Hsieh CHEN & Chun-Cheng WU, 2015. "Cross-country analysis of efficiency and productivity in the biotech industry: an application of the generalized metafrontier Malmquist productivity index," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(3), pages 116-134.
    6. Amir Arjomandi & K Hervé Dakpo & Juergen Heinz Seufert, 2018. "Have Asian airlines caught up with European Airlines? A by-production efficiency analysis [Analyse comparée de l’Eco-performance des compagnies aériennes asiatiques et européennes]," Post-Print hal-02628232, HAL.
    7. 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).
    8. Jung Ho Park & Kwangsoo Shin, 2018. "Efficiency of Government-Sponsored R&D Projects: A Metafrontier DEA Approach," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    9. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    10. 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.
    11. 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.
    12. 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.
    13. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    14. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    15. Cheng, Zhonghua & Wang, Lan, 2023. "Can new urbanization improve urban total-factor energy efficiency in China?," Energy, Elsevier, vol. 266(C).
    16. Wijesiri, Mahinda, 2016. "Weathering the storm: ownership structure and performance of microfinance institutions in the wake of the global financial crisis," Economic Modelling, Elsevier, vol. 57(C), pages 238-247.
    17. Tuan Nguyen-Anh & Chinh Hoang-Duc & Tuyen Tiet & Phu Nguyen-Van & Nguyen To-The, 2022. "Composite effects of human, natural and social capitals on sustainable food-crop farming in Sub-Saharan Africa," Post-Print hal-03927534, HAL.
    18. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    19. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    20. Barnabé Walheer, 2018. "Cost Malmquist productivity index: an output-specific approach for group comparison," Journal of Productivity Analysis, Springer, vol. 49(1), pages 79-94, February.
    21. Li, Ding & Gao, Ming & Hou, Wenxuan & Song, Malin & Chen, Jiandong, 2020. "A modified and improved method to measure economy-wide carbon rebound effects based on the PDA-MMI approach," Energy Policy, Elsevier, vol. 147(C).
    22. Marijn Verschelde & Michel Dumont & Glenn Rayp & Bruno Merlevede, 2015. "Semiparametric stochastic metafrontier efficiency of European manufacturing firms," Post-Print hal-01563023, HAL.
    23. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    24. Chung, Yeimin & Heshmati, Almas, 2013. "Measurement of Environmentally Sensitive Productivity Growth in Korean Industries," IZA Discussion Papers 7235, Institute of Labor Economics (IZA).
    25. 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.
    26. Afsharian, Mohsen & Ahn, Heinz & Harms, Sören Guntram, 2019. "Performance comparison of management groups under centralised management," European Journal of Operational Research, Elsevier, vol. 278(3), pages 845-854.
    27. Kao, Chiang & Liu, Shiang-Tai, 2016. "A parallel production frontiers approach for intertemporal efficiency analysis: The case of Taiwanese commercial banks," European Journal of Operational Research, Elsevier, vol. 255(2), pages 411-421.
    28. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    29. Alexakis, Christos & Izzeldin, Marwan & Johnes, Jill & Pappas, Vasileios, 2019. "Performance and productivity in Islamic and conventional banks: Evidence from the global financial crisis," Economic Modelling, Elsevier, vol. 79(C), pages 1-14.
    30. Guoping Mei & Jingyi Gan & Ning Zhang, 2015. "Metafrontier Environmental Efficiency for China’s Regions: A Slack-Based Efficiency Measure," Sustainability, MDPI, vol. 7(4), pages 1-18, April.
    31. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    32. Aleksandra PARTEKA & Joanna WOLSZCZAK-DERLACZ, 2011. "Dynamics of productivity in higher education. Cross-European evidence based on bootstrapped Malmquist indices," Departmental Working Papers 2011-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    33. Fu, Tsu-Tan & See, Kok Fong, 2022. "An integrated analysis of quality and productivity growth in China’s and Taiwan’s higher education institutions," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 234-249.
    34. Kristiaan Kerstens & Christopher O’donnell & Ignace van de Woestyne, 2019. "Metatechnology frontier and convexity: A restatement," Post-Print hal-02108502, HAL.
    35. Cheng, Zhonghua & Yu, Xuejin & Zhang, Yi, 2023. "Is the construction of new energy demonstration cities conducive to improvements in energy efficiency?," Energy, Elsevier, vol. 263(PA).
    36. 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).
    37. Lin, Boqiang & Sai, Rockson, 2021. "A multi factor Malmquist CO2emission performance indices: Evidence from Sub Saharan African public thermal power plants," Energy, Elsevier, vol. 223(C).
    38. Li, Mingquan & Wang, Qi, 2014. "International environmental efficiency differences and their determinants," Energy, Elsevier, vol. 78(C), pages 411-420.
    39. Sun, Chuanwang & Liu, Xiaohong & Li, Aijun, 2018. "Measuring unified efficiency of Chinese fossil fuel power plants: Intermediate approach combined with group heterogeneity and window analysis," Energy Policy, Elsevier, vol. 123(C), pages 8-18.
    40. Walheer, Barnabé, 2019. "Malmquist productivity index for multi-output producers: An application to electricity generation plants," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 76-88.
    41. Aristovnik, Aleksander & Yang, Guo-liang & Song, Yao-yao & Ravšelj, Dejan, 2023. "Industrial performance of the top R&D enterprises in world-leading economies: A metafrontier approach," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    42. Md. Abul Kalam Azad & Susila Munisamy & Abdul Kadar Muhammad Masum & Paolo Saona & Peter Wanke, 2017. "Bank efficiency in Malaysia: a use of malmquist meta-frontier analysis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(2), pages 287-311, August.
    43. Mohsen Afsharian & Heinz Ahn, 2017. "Multi-period productivity measurement under centralized management with an empirical illustration to German saving banks," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(3), pages 881-911, July.
    44. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    45. Yongrok Choi & Dong-hyun Oh & Ning Zhang, 2015. "Environmentally sensitive productivity growth and its decompositions in China: a metafrontier Malmquist–Luenberger productivity index approach," Empirical Economics, Springer, vol. 49(3), pages 1017-1043, November.
    46. Feng, Chao & Wang, Miao & Liu, Guan-Chun & Huang, Jian-Bai, 2017. "Sources of economic growth in China from 2000–2013 and its further sustainable growth path: A three-hierarchy meta-frontier data envelopment analysis," Economic Modelling, Elsevier, vol. 64(C), pages 334-348.
    47. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    48. 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).
    49. Chang, Kai & Long, Yu & Yang, Jiahui & Zhang, Huijia & Xue, Chenqi & Liu, Jianing, 2022. "Effects of subsidy and tax rebate policies on green firm research and development efficiency in China," Energy, Elsevier, vol. 258(C).
    50. Mocholi-Arce, Manuel & Sala-Garrido, Ramon & Molinos-Senante, Maria & Maziotis, Alexandros, 2021. "Performance assessment of water companies: A metafrontier approach accounting for quality of service and group heterogeneities," Socio-Economic Planning Sciences, Elsevier, vol. 74(C).
    51. Lin, Boqiang & Bai, Rui, 2020. "Dynamic energy performance evaluation of Chinese textile industry," Energy, Elsevier, vol. 199(C).
    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. Zhang, Yue-Jun & Jiang, Lin & Shi, Wei, 2020. "Exploring the growth-adjusted energy-emission efficiency of transportation industry in China," Energy Economics, Elsevier, vol. 90(C).
    54. Zhang, Ning & Choi, Yongrok, 2013. "A comparative study of dynamic changes in CO2 emission performance of fossil fuel power plants in China and Korea," Energy Policy, Elsevier, vol. 62(C), pages 324-332.
    55. Joshi, Shruti & Nath, Siddhartha & Ranjan, Abhishek, 2023. "Green Total Factor Productivity for India: Some Recent Estimates and Policy Directions," MPRA Paper 117717, University Library of Munich, Germany.
    56. Barnabé Walheer, 2022. "Global Malmquist and cost Malmquist indexes for group comparison," Journal of Productivity Analysis, Springer, vol. 58(1), pages 75-93, August.
    57. Ouyang, Xiaoling & Chen, Jiaqi & Du, Kerui, 2021. "Energy efficiency performance of the industrial sector: From the perspective of technological gap in different regions in China," Energy, Elsevier, vol. 214(C).
    58. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    59. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    60. Shixiong Cheng & Jiahui Xie & De Xiao & Yun Zhang, 2019. "Measuring the Environmental Efficiency and Technology Gap of PM 2.5 in China’s Ten City Groups: An Empirical Analysis Using the EBM Meta-Frontier Model," IJERPH, MDPI, vol. 16(4), pages 1-22, February.
    61. Martin Boďa & Mariana Považanová, 2020. "Productivity patterns in Europe: adaptation of the Malmquist index to measuring group performance and productivity change over time," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 47(4), pages 949-989, November.
    62. Pooja Bansal & Aparna Mehra & Sunil Kumar, 2022. "Dynamic Metafrontier Malmquist–Luenberger Productivity Index in Network DEA: An Application to Banking Data," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 297-324, January.
    63. Zhu, Runqing & Lin, Boqiang, 2021. "Energy and carbon performance improvement in China's mining Industry:Evidence from the 11th and 12th five-year plan," Energy Policy, Elsevier, vol. 154(C).
    64. Ching-Ren Chiu & Ming-Chung Chang & Jin-Li Hu, 2022. "Energy intensity improvement and energy productivity changes: an analysis of BRICS and G7 countries," Journal of Productivity Analysis, Springer, vol. 57(3), pages 297-311, June.
    65. 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).
    66. Fang, Chuandi & Cheng, Jinhua & Zhu, Yongguang & Chen, Jiahao & Peng, Xinjie, 2021. "Green total factor productivity of extractive industries in China: An explanation from technology heterogeneity," Resources Policy, Elsevier, vol. 70(C).
    67. See, Kok Fong & Ng, Ying Chu, 2021. "Do hospital reform and ownership matter to Shenzhen hospitals in China? A productivity analysis," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 145-155.
    68. Chiu, Yung-Ho & Lee, Jen-Hui & Lu, Ching-Cheng & Shyu, Ming-Kuang & Luo, Zhengying, 2012. "The technology gap and efficiency measure in WEC countries: Application of the hybrid meta frontier model," Energy Policy, Elsevier, vol. 51(C), pages 349-357.
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    70. Zhang, Yijun & Song, Yi, 2020. "Unified efficiency of coal mining enterprises in China: An analysis based on meta-frontier non-radial directional distance functions," Resources Policy, Elsevier, vol. 65(C).
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    81. Tommaso Agasisti & Guo-liang Yang & Yao-yao Song & Carolyn-Thi Thanh Dung Tran, 2021. "Evaluating the higher education productivity of Chinese and European “elite” universities using a meta-frontier approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5819-5853, July.
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    Cited by:

    1. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    2. Chen, Chien-Ming, 2013. "A critique of non-parametric efficiency analysis in energy economics studies," Energy Economics, Elsevier, vol. 38(C), pages 146-152.
    3. 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.
    4. Marc Baudry & Anouk Faure, 2021. "Technological Progress and Carbon Price Formation: an Analysis of EU-ETS Plants," Working Papers 2021.10, FAERE - French Association of Environmental and Resource Economists.
    5. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    6. 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.
    7. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2022. "Does primary stakeholder management improve competitiveness? A dynamic network non-parametric frontier approach," Economic Modelling, Elsevier, vol. 116(C).
    8. 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.
    9. Lisann Krautzberger & Heike Wetzel, 2012. "Transport and CO 2 : Productivity Growth and Carbon Dioxide Emissions in the European Commercial Transport Industry," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 53(3), pages 435-454, November.
    10. Vivek Ghosal & Andreas Stephan & Jan F. Weiss, 2018. "Decentralized Environmental Regulations and Plant-Level Productivity," CESifo Working Paper Series 7255, CESifo.
    11. Arnaud Abad & Paola Ravelojaona, 2022. "A generalization of environmental productivity analysis," Post-Print hal-03592375, HAL.
    12. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas & Sun, Chuanwang, 2019. "Atmospheric environmental productivity across the provinces of China: Joint decomposition of range adjusted measure and Luenberger productivity indicator," Energy Policy, Elsevier, vol. 132(C), pages 665-677.
    13. Zuoming Zhang & Xiaoying Wan & Kaixi Sheng & Hanyue Sun & Lei Jia & Jiachao Peng, 2023. "Impact of Carbon Sequestration by Terrestrial Vegetation on Economic Growth: Evidence from Chinese County Satellite Data," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    14. Benhong Peng & Xingchao Zhang & Ehsan Elahi & Anxia Wan, 2022. "Evolution of spatial–temporal characteristics and financial development as an influencing factor of green ecology," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(1), pages 789-809, January.
    15. Peng, Jiachao & Xiao, Jianzhong & Zhang, Lian & Wang, Teng, 2020. "The impact of China's ‘Atmosphere Ten Articles’ policy on total factor productivity of energy exploitation: Empirical evidence using synthetic control methods," Resources Policy, Elsevier, vol. 65(C).
    16. Yang, Fuxia & Yang, Mian, 2015. "Analysis on China's eco-innovations: Regulation context, intertemporal change and regional differences," European Journal of Operational Research, Elsevier, vol. 247(3), pages 1003-1012.
    17. Zhizhong Liu & Guangyue Liu & Xu Han & Yingna Chen, 2022. "Green Technology of Foreign Direct Investment on Public Health: Evidence from China," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    18. Ben Lahouel, Béchir & Ben Zaied, Younes & Taleb, Lotfi & Kočišová, Kristína, 2022. "The assessment of socio-environmental performance change: A Benefit of the Doubt indicator based on Directional Distance Function and Malmquist productivity index," Finance Research Letters, Elsevier, vol. 49(C).
    19. Sai, Rockson & Lin, Boqiang, 2022. "Productivity assessment of power generation in Kenya: What are the impacts?," Energy, Elsevier, vol. 254(PA).
    20. Zhang, Ning & Zhou, Peng & Kung, Chih-Chun, 2015. "Total-factor carbon emission performance of the Chinese transportation industry: A bootstrapped non-radial Malmquist index analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 584-593.
    21. Yaozu Xue, 2022. "Evaluation analysis on industrial green total factor productivity and energy transition policy in resource-based region," Energy & Environment, , vol. 33(3), pages 419-434, May.
    22. Wei, Yigang & Li, Yan & Wu, Meiyu & Li, Yingbo, 2019. "The decomposition of total-factor CO2 emission efficiency of 97 contracting countries in Paris Agreement," Energy Economics, Elsevier, vol. 78(C), pages 365-378.
    23. Chung, Yeimin & Heshmati, Almas, 2013. "Measurement of Environmentally Sensitive Productivity Growth in Korean Industries," IZA Discussion Papers 7235, Institute of Labor Economics (IZA).
    24. Zhiqiang Zhu & Xuechi Zhang & Mengqing Xue & Yaoyao Song, 2023. "Eco-Efficiency and Its Evolutionary Change under Regulatory Constraints: A Case Study of Chinese Transportation Industry," Sustainability, MDPI, vol. 15(9), pages 1-18, April.
    25. Chen, Chih Cheng, 2017. "Measuring departmental and overall regional performance: applying the multi-activity DEA model to Taiwan׳s cities/counties," Omega, Elsevier, vol. 67(C), pages 60-80.
    26. Jin, Baoling & Han, Ying & Kou, Po, 2023. "Dynamically evaluating the comprehensive efficiency of technological innovation and low-carbon economy in China's industrial sectors," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    27. Dong, Feng & Li, Xiaohui & Long, Ruyin & Liu, Xiaoyan, 2013. "Regional carbon emission performance in China according to a stochastic frontier model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 525-530.
    28. Heshmati, Almas, 2014. "An Empirical Survey of the Ramifications of a Green Economy," IZA Discussion Papers 8078, Institute of Labor Economics (IZA).
    29. Younhee Kim & Dong-hyun Oh & Minah Kang, 2016. "Productivity changes in OECD healthcare systems: bias-corrected Malmquist productivity approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 31(4), pages 537-553, October.
    30. 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.
    31. Li, Hai-ling & Zhu, Xue-hong & Chen, Jin-yu & Jiang, Fei-tao, 2019. "Environmental regulations, environmental governance efficiency and the green transformation of China's iron and steel enterprises," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    32. Deshan Li & Rongwei Wu, 2018. "A Dynamic Analysis of Green Productivity Growth for Cities in Xinjiang," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    33. Falavigna, Greta & Manello, Alessandro & Pavone, Sara, 2013. "Environmental efficiency, productivity and public funds: The case of the Italian agricultural industry," Agricultural Systems, Elsevier, vol. 121(C), pages 73-80.
    34. 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.
    35. Ghosal, Vivek & Stephan , Andreas & Weiss, Jan, 2014. "Decentralized Regulation, Environmental Efficiency and Productivity," Working Paper Series in Economics and Institutions of Innovation 342, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    36. Sinwoo Lee & Dong-Woon Noh & Dong-hyun Oh, 2018. "Characterizing the Difference between Indirect and Direct CO 2 Emissions: Evidence from Korean Manufacturing Industries, 2004–2010," Sustainability, MDPI, vol. 10(8), pages 1-16, August.
    37. Xiaodong Chen & Anda Guo & Jiahao Zhu & Fang Wang & Yanqiu He, 2022. "Accessing performance of transport sector considering risks of climate change and traffic accidents: joint bounded-adjusted measure and Luenberger decomposition," 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. 111(1), pages 115-138, March.
    38. Li, Jianglong & Liu, Hongxun & Du, Kerui, 2019. "Does market-oriented reform increase energy rebound effect? Evidence from China's regional development," China Economic Review, Elsevier, vol. 56(C), pages 1-1.
    39. Ke Xu & Peiya Zhao, 2023. "Does Green Finance Promote Green Total Factor Productivity? Empirical Evidence from China," Sustainability, MDPI, vol. 15(14), pages 1-26, July.
    40. Tan, Ruipeng & Pan, Lulu & Xu, Mengmeng & He, Xinju, 2022. "Transportation infrastructure, economic agglomeration and non-linearities of green total factor productivity growth in China: Evidence from partially linear functional coefficient model," Transport Policy, Elsevier, vol. 129(C), pages 1-13.
    41. Emrouznejad, Ali & Yang, Guo-liang, 2016. "A framework for measuring global Malmquist–Luenberger productivity index with CO2 emissions on Chinese manufacturing industries," Energy, Elsevier, vol. 115(P1), pages 840-856.
    42. Tian, Ying & Feng, Chao, 2022. "The internal-structural effects of different types of environmental regulations on China's green total-factor productivity," Energy Economics, Elsevier, vol. 113(C).
    43. Suyang Xiao & Susu Wang & Fanhua Zeng & Wei-Chiao Huang, 2022. "Spatial Differences and Influencing Factors of Industrial Green Total Factor Productivity in Chinese Industries," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    44. Jin Guo & Hanqiao Yang, 2022. "CDMs’ effect on environmentally sensitive productivity: evidence from Chinese provinces," Letters in Spatial and Resource Sciences, Springer, vol. 15(3), pages 401-422, December.
    45. Yaqiong Wang & Guanghui Yuan & Ying Yan & Xueliang Zhang, 2020. "Evaluation of Sustainable Urban Development under Environmental Constraints: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 12(3), pages 1-17, February.
    46. Yang, Fuxia & Yang, Mian & Nie, Hualin, 2013. "Productivity trends of Chinese regions: A perspective from energy saving and environmental regulations," Applied Energy, Elsevier, vol. 110(C), pages 82-89.
    47. Miao, Zhuang & Chen, Xiaodong, 2022. "Combining parametric and non-parametric approach, variable & source -specific productivity changes and rebound effect of energy & environment," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    48. Zhen Wang & Xiaoyu Zhang & Hui Lu & Xiaolan Kang & Bin Liu, 2023. "The Effect of Industrial Agglomeration on Agricultural Green Production Efficiency: Evidence from China," Sustainability, MDPI, vol. 15(16), pages 1-23, August.
    49. Pengsheng Li & Yanying Chen, 2019. "The Influence of Enterprises’ Bargaining Power on the Green Total Factor Productivity Effect of Environmental Regulation—Evidence from China," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    50. 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.
    51. Ning Zhang & Jong-Dae Kim, 2014. "Measuring sustainability by Energy Efficiency Analysis for Korean Power Companies: A Sequential Slacks-Based Efficiency Measure," Sustainability, MDPI, vol. 6(3), pages 1-13, March.
    52. Hyoung Seok Lee & Yongrok Choi, 2019. "Environmental Performance Evaluation of the Korean Manufacturing Industry Based on Sequential DEA," Sustainability, MDPI, vol. 11(3), pages 1-14, February.
    53. Yu, Yanni & Qian, Tao & Du, Limin, 2017. "Carbon productivity growth, technological innovation, and technology gap change of coal-fired power plants in China," Energy Policy, Elsevier, vol. 109(C), pages 479-487.
    54. Arnaud Abad & Paola Ravelojaona, 2021. "Pollution‐adjusted productivity analysis : The use of Malmquist and Luenberger productivity measures," Post-Print hal-03025425, HAL.
    55. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    56. Zhang, Ning & Wei, Xiao, 2015. "Dynamic total factor carbon emissions performance changes in the Chinese transportation industry," Applied Energy, Elsevier, vol. 146(C), pages 409-420.
    57. Li, Ke & Lin, Boqiang, 2015. "Metafroniter energy efficiency with CO2 emissions and its convergence analysis for China," Energy Economics, Elsevier, vol. 48(C), pages 230-241.
    58. Wang, Zhaohua & Feng, Chao, 2015. "A performance evaluation of the energy, environmental, and economic efficiency and productivity in China: An application of global data envelopment analysis," Applied Energy, Elsevier, vol. 147(C), pages 617-626.
    59. Eucabeth Majiwa & Boon L. Lee & Clevo Wilson, 2018. "Increasing agricultural productivity while reducing greenhouse gas emissions in sub†Saharan Africa: myth or reality?," Agricultural Economics, International Association of Agricultural Economists, vol. 49(2), pages 183-192, March.
    60. Yinyin Wen & Min Zhao & Genli Tang & Xiaoxiao Zhou & Xingchen Hu & Li Sui, 2023. "How does financial agglomeration affect green development? Evidence from the Yangtze River Delta of China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 135-156, March.
    61. Lena, Daniela & Pasurka, Carl A. & Cucculelli, Marco, 2022. "Environmental regulation and green productivity growth: Evidence from Italian manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    62. Miao, Zhuang & Chen, Xiaodong & Baležentis, Tomas, 2021. "Improving energy use and mitigating pollutant emissions across “Three Regions and Ten Urban Agglomerations”: A city-level productivity growth decomposition," Applied Energy, Elsevier, vol. 283(C).
    63. Gökgöz, Fazıl & Güvercin, Mustafa Taylan, 2018. "Energy security and renewable energy efficiency in EU," Renewable and Sustainable Energy Reviews, Elsevier, vol. 96(C), pages 226-239.
    64. Oh, Dong-hyun & Lee, Yong-Gil, 2016. "Productivity decomposition and economies of scale of Korean fossil-fuel power generation companies: 2001–2012," Energy, Elsevier, vol. 100(C), pages 1-9.
    65. Xianpu Xu & Xiawan Li & Lin Zheng, 2022. "A Blessing or a Curse? Exploring the Impact of Environmental Regulation on China’s Regional Green Development from the Perspective of Governance Transformation," IJERPH, MDPI, vol. 19(3), pages 1-24, January.
    66. Aihua Shen & Rui Wang, 2023. "Digital Transformation and Green Development Research: Microscopic Evidence from China’s Listed Construction Companies," Sustainability, MDPI, vol. 15(16), pages 1-31, August.
    67. Yoonhwan Oh & Dong-hyun Oh & Jeong-Dong Lee, 2017. "A sequential global Malmquist productivity index: Productivity growth index for unbalanced panel data considering the progressive nature of technology," Empirical Economics, Springer, vol. 52(4), pages 1651-1674, June.
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    Cited by:

    1. Zhao, Mingxuan & Lv, Lianhong & Wu, Jing & Wang, Shen & Zhang, Nan & Bai, Zihan & Luo, Hong, 2022. "Total factor productivity of high coal-consuming industries and provincial coal consumption: Based on the dynamic spatial Durbin model," Energy, Elsevier, vol. 251(C).
    2. Yongyi Cheng & Liheng Lu & Tianyuan Shao & Manhong Shen & Laiqun Jin, 2018. "Decomposition Analysis of Factors Affecting Changes in Industrial Wastewater Emission Intensity in China: Based on a SSBM-GMI Approach," IJERPH, MDPI, vol. 15(12), pages 1-23, December.
    3. Min Wang & Meng Ji & Xiaofen Wu & Kexin Deng & Xiaodong Jing, 2023. "Analysis on Evaluation and Spatial-Temporal Evolution of Port Cluster Eco-Efficiency: Case Study from the Yangtze River Delta in China," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    4. Xiaoyu He & Bo Li, 2023. "A Study on the Influence of Green Industrial Policy on Urban Green Development: Based on the Empirical Data of Ecological Industrial Park Pilot Construction," Sustainability, MDPI, vol. 15(13), pages 1-29, June.
    5. 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.
    6. Wei Qian & Yongsheng Wang, 2022. "How Do Rising Labor Costs Affect Green Total Factor Productivity? Based on the Industrial Intelligence Perspective," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    7. Ruomei Xu & Yanrui Wu & Chen Chen, 2022. "Agricultural green efficiency and productivity incorporating waste recycling," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 635-660, September.
    8. 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.
    9. Aparicio, Juan & Pastor, Jesus T. & Zofio, Jose L., 2013. "On the inconsistency of the Malmquist–Luenberger index," European Journal of Operational Research, Elsevier, vol. 229(3), pages 738-742.
    10. Cheng, Zhonghua & Li, Xiang & Zhu, Yeman & Wang, Meixiao, 2023. "The effects of agglomeration externalities on urban green total-factor productivity in China," Economic Systems, Elsevier, vol. 47(2).
    11. Liguo Zhang & Cuiting Jiang & Xiang Cai & Jun Wu, 2023. "Dynamic linkages between China’s OFDI, transport, and green economic growth: Empirical evidence from the B&R countries," Energy & Environment, , vol. 34(7), pages 2642-2667, November.
    12. Liu, Huizheng & Zong, Zhe & Hynes, Kate & De Bruyne, Karolien, 2020. "Can China reduce the carbon emissions of its manufacturing exports by moving up the global value chain?," Research in International Business and Finance, Elsevier, vol. 51(C).
    13. Yongyi Cheng & Tianyuan Shao & Huilin Lai & Manhong Shen & Yi Li, 2019. "Total-Factor Eco-Efficiency and Its Influencing Factors in the Yangtze River Delta Urban Agglomeration, China," IJERPH, MDPI, vol. 16(20), pages 1-14, October.
    14. Zeng, Juying & Škare, Marinko & Lafont, Juan, 2021. "The co-integration identification of green innovation efficiency in Yangtze River Delta region," Journal of Business Research, Elsevier, vol. 134(C), pages 252-262.
    15. Fengting Wang & Hao Wang & Cong Liu & Lichun Xiong & Zhiquan Qian, 2022. "The Effect of Green Urbanization on Forestry Green Total Factor Productivity in China: Analysis from a Carbon Neutral Perspective," Land, MDPI, vol. 11(11), pages 1-21, October.
    16. Zhong, Shen & Li, Junwei & Qu, Yi, 2022. "Green total factor productivity of dairy cow in China: Key facts from scale and regional sector," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    17. Zhong, Shen & Li, Junwei & Chen, Xi & Wen, Hongmei, 2022. "A multi-hierarchy meta-frontier approach for measuring green total factor productivity: An application of pig breeding in China," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
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    2. Stergiou, Eirini & Rigas, Nikos & Kounetas, Konstantinos E., 2023. "Environmental productivity growth across European industries," Energy Economics, Elsevier, vol. 123(C).
    3. 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).
    4. 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.
    5. Jakub Staniszewski & Łukasz Kryszak, 2022. "Do Structures Matter in the Process of Sustainable Intensification? A Case Study of Agriculture in the European Union Countries," Agriculture, MDPI, vol. 12(3), pages 1-19, February.
    6. 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.
    7. Luo, Yusen & Lu, Zhengnan & Wu, Chao, 2023. "Can internet development accelerate the green innovation efficiency convergence: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    8. 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.
    9. Xiaohong Liu & Jiasen Sun & Feng Yang & Jie Wu, 2020. "How ownership structure affects bank deposits and loan efficiencies: an empirical analysis of Chinese commercial banks," Annals of Operations Research, Springer, vol. 290(1), pages 983-1008, July.
    10. 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).
    11. 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.
    12. Chiu, Ching-Ren & Liou, Je-Liang & Wu, Pei-Ing & Fang, Chen-Ling, 2012. "Decomposition of the environmental inefficiency of the meta-frontier with undesirable output," Energy Economics, Elsevier, vol. 34(5), pages 1392-1399.
    13. Nabavieh, Alireza & Gholamiangonabadi, Davoud & Ahangaran, Ali Asghar, 2015. "Dynamic changes in CO2 emission performance of different types of Iranian fossil-fuel power plants," Energy Economics, Elsevier, vol. 52(PA), pages 142-150.
    14. Wang, Chao & Zhang, Yue-Jun, 2022. "The effect of environmental regulation and skill premium on the inflow of FDI:Evidence from Chinese industrial sectors," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 227-242.
    15. Du, Limin & Hanley, Aoife & Wei, Chu, 2015. "Estimating the marginal abatement cost curve of CO2 emissions in China: Provincial panel data analysis," Kiel Working Papers 1985, Kiel Institute for the World Economy (IfW Kiel).
    16. Eirini Stergiou & Nikos Rigas & Eftychia Zaroutieri & Konstantinos Kounetas, 2023. "Energy, renewable and technical efficiency convergence: a global evidence," Economic Change and Restructuring, Springer, vol. 56(3), pages 1601-1628, June.
    17. Cheng, Zhonghua & Wang, Lan, 2023. "Can new urbanization improve urban total-factor energy efficiency in China?," Energy, Elsevier, vol. 266(C).
    18. Zhang, Ning & Zhou, P. & Choi, Yongrok, 2013. "Energy efficiency, CO2 emission performance and technology gaps in fossil fuel electricity generation in Korea: A meta-frontier non-radial directional distance functionanalysis," Energy Policy, Elsevier, vol. 56(C), pages 653-662.
    19. Fei, Rilong & Lin, Boqiang, 2016. "Energy efficiency and production technology heterogeneity in China's agricultural sector: A meta-frontier approach," Technological Forecasting and Social Change, Elsevier, vol. 109(C), pages 25-34.
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    21. Zhang, Ning & Choi, Yongrok, 2013. "Total-factor carbon emission performance of fossil fuel power plants in China: A metafrontier non-radial Malmquist index analysis," Energy Economics, Elsevier, vol. 40(C), pages 549-559.
    22. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    23. Xie, Hualin & Wang, Wei & Yang, Zihui & Choi, Yongrok, 2016. "Measuring the sustainable performance of industrial land utilization in major industrial zones of China," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 207-219.
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    28. 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.
    29. Yujiao Xian & Ke Wang & Xunpeng Shi & Chi Zhang & Yi-Ming Wei & Zhimin Huang, 2018. "Carbon emissions intensity reduction target for China¡¯s power industry: An efficiency and productivity perspective," CEEP-BIT Working Papers 117, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    30. Kounetas, Kostas & Zervopoulos, Panagiotis, 2017. "Annex I and non-Annex I countries’productive performance revisited using a generalized directional distance function under a metafrontier framework: Is there any convergence-divergence pattern for tec," MPRA Paper 80904, University Library of Munich, Germany.
    31. Ke Li & Malin Song, 2016. "Green Development Performance in China: A Metafrontier Non-Radial Approach," Sustainability, MDPI, vol. 8(3), pages 1-21, March.
    32. Wentao Lu & Guixiang Zhang, 2023. "Green development efficiency of urban agglomerations in a developing country: evidence from Beijing-Tianjin-Hebei in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(7), pages 6939-6962, July.
    33. Jayanath Ananda & Dong-hyun Oh, 2023. "Assessing environmentally sensitive productivity growth: incorporating externalities and heterogeneity into water sector evaluations," Journal of Productivity Analysis, Springer, vol. 59(1), pages 45-60, February.
    34. Min Lu & Xing Wang & Yuquan Cang, 2018. "Carbon Productivity: Findings from Industry Case Studies in Beijing," Energies, MDPI, vol. 11(10), pages 1-19, October.
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    2. Hazarika, Gautam & Paul, Sourabh Bikas, 2020. "India's Calorie Consumption Puzzle: Insights From the Stochastic Cost Frontier Analysis of Calorie Purchases," IZA Discussion Papers 13722, Institute of Labor Economics (IZA).
    3. Andrea Pellegrini & Igor Sarman & Rico Maggi, 2021. "Understanding tourists’ expenditure patterns: a stochastic frontier approach within the framework of multiple discrete–continuous choices," Transportation, Springer, vol. 48(2), pages 931-951, April.

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