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Linda Zhang

Personal Details

First Name:Linda
Middle Name:
Last Name:Zhang
Suffix:
RePEc Short-ID:pzh396
http://www.ieseg.fr/enseignants-et-recherche/corps-professoral/professeurs-permanents/?cv_id=245

Affiliation

(50%) IÉSEG School of Management
Université Catholique de Lille

Lille, France
http://www.ieseg.fr/

: +33/320545892
+33/320574855
3, rue de la Digue, FR-59000 Lille
RePEc:edi:iesegfr (more details at EDIRC)

(50%) Lille Économie et Management (LEM)

France
http://lem.univ-lille.fr/

: 00-33-(0)3-20-41-73-69

Université Lille3, Domaine universitaire du "Pont de bois", BP 60149, Villeneuve d'Ascq Cedex
RePEc:edi:laborfr (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. L. Zhang & Q. Xu & P. Helo, 2013. "A knowledge-based system for process family planning," Post-Print hal-00846438, HAL.
  2. Y. Yu & Z. Hong & L. Zhang & L. Liang & C. Chu, 2013. "Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system," Post-Print hal-00846452, HAL.
  3. L. Zhang & Élise Vareilles & Michel Aldanondo, 2013. "Generic bill of functions, materials and operations for SAP2 configuration," Post-Print hal-00846451, HAL.
  4. L. Zhang & J. Jiao, 2013. "A graph rewriting system for process platform planning," Post-Print hal-00846449, HAL.
  5. D. Wu & L. Zhang & J. Jiao & R. Lu, 2013. "SysML-based design chain information modeling for variety management in production reconfiguration," Post-Print hal-00846436, HAL.
  6. L. Zhang & B. Rodrigues, 2013. "A petri net model of process platform-based production configuration," Post-Print hal-00846422, HAL.
  7. A. Alblas & L. Zhang & H. Wortmann, 2012. "Representing function-technology platform based on the unified modeling language," Post-Print hal-00798932, HAL.
  8. L. Zhang & Q. Xu & P. Helo, 2012. "A methodology integrating Petri nets and knowledge-based systems to support process family planning," Post-Print hal-00798926, HAL.
  9. L. Zhang, 2012. "Identifying mapping relationships between functions and technologies with association rule mining," Post-Print hal-00798934, HAL.
  10. L. Zhang, 2011. "Planning process families with progres," Post-Print hal-00821678, HAL.
  11. L. Zhang, 2011. "Process platforms and production configuration for mass customization : basics, concepts and methods," Post-Print hal-00821677, HAL.
  12. C.K.M. Lee & H. Hu & D. Lin & L. Zhang, 2011. "Determining the Throughput of a CONWIP System Using Adjusted ARM," Post-Print hal-00798940, HAL.
  13. L. Zhang & C.K.M. Lee & Q. Xu, 2010. "Towards product customization: An integrated order fulfillment system," Post-Print hal-00798983, HAL.
  14. L. Zhang & J. Jiao & Q. Ma, 2010. "Accountability-based order fulfillment process reengineering towards supply chain management: A case study at a semiconductor equipment manufacturer," Post-Print hal-00798963, HAL.
  15. T.P. Van Houten & L. Zhang, 2010. "Managing assets in the infrastructure sector," Post-Print hal-00798952, HAL.
  16. L. Zhang & B. Rodrigues, 2010. "Nested colored timed Petri nets for production configuration of product families," Post-Print hal-00798992, HAL.
  17. L. Zhang & X. You & J. Jiao & P. Helo, 2009. "Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets," Post-Print hal-00798997, HAL.
  18. L. Zhang & J. Jiao, 2009. "Modeling production configuration based on nested colored object-oriented Petri nets with changeable structures," Post-Print hal-00799009, HAL.
  19. L. Zhang & B. Rodrigues, 2009. "A tree unification approach to constructing generic processes," Post-Print hal-00799012, HAL.
  20. L. Zhang, 2009. "Modeling process platforms based on an object-oriented visual diagrammatic modeling language," Post-Print hal-00799014, HAL.
  21. Q. Xu & X. You & L. Zhang & J. Jiao, 2009. "Modeling workflows and collaboration in virtual supply chains with nested modular Petri nets," Post-Print hal-00799005, HAL.
  22. L. Zhang & B. Rodrigues, 2009. "Modeling reconfigurable manufacturing systems with colored timed Petri nets," Post-Print hal-00799023, HAL.
  23. J. Jiao & L. Zhang & Y. Zhang & S. Pokharel, 2008. "Association rule mining for product and process variety mapping," Post-Print hal-00799025, HAL.
  24. J. Jiao & L. Zhang, 2008. "Data mining applications of process Platform formation for high variety production," Post-Print hal-00821680, HAL.

Articles

  1. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.

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. L. Zhang & Q. Xu & P. Helo, 2013. "A knowledge-based system for process family planning," Post-Print hal-00846438, HAL.

    Cited by:

    1. Abbas, Mohamed & ElMaraghy, Hoda, 2018. "Co-platforming of products and assembly systems," Omega, Elsevier, vol. 78(C), pages 5-20.
    2. Scalice, Régis Kovacs & da Silva, José Oliveira & Ostetto, Jaqueline Nazario & de Paula, Gabriele Aguiar, 2015. "Modular deployment using TRM and function analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 1-11.

  2. Y. Yu & Z. Hong & L. Zhang & L. Liang & C. Chu, 2013. "Optimal selection of retailers for a manufacturing vendor in a vendor managed inventory system," Post-Print hal-00846452, HAL.

    Cited by:

    1. Guo, Xiaolong & Dong, Yufeng & Ling, Liuyi, 2016. "Customer perspective on overbooking: The failure of customers to enjoy their reserved services, accidental or intended?," Journal of Air Transport Management, Elsevier, vol. 53(C), pages 65-72.
    2. Bai, Qingguo & Gong, Yeming (Yale) & Jin, Mingzhou & Xu, Xianhao, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," International Journal of Production Economics, Elsevier, vol. 208(C), pages 83-99.
    3. Govindan, Kannan, 2015. "The optimal replenishment policy for time-varying stochastic demand under vendor managed inventory," European Journal of Operational Research, Elsevier, vol. 242(2), pages 402-423.
    4. Tsao, Yu-Chung & Lu, Jye-Chyi & An, Na & Al-Khayyal, Faiz & Lu, Richard W. & Han, Guanghua, 2014. "Retailer shelf-space management with trade allowance: A Stackelberg game between retailer and manufacturers," International Journal of Production Economics, Elsevier, vol. 148(C), pages 133-144.
    5. Sadeghi, Javad & Mousavi, Seyed Mohsen & Niaki, Seyed Taghi Akhavan & Sadeghi, Saeid, 2014. "Optimizing a bi-objective inventory model of a three-echelon supply chain using a tuned hybrid bat algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 274-292.
    6. Tian, Xiaoyu & Zhang, Zhi-Hai, 2019. "Capacitated disassembly scheduling and pricing of returned products with price-dependent yield," Omega, Elsevier, vol. 84(C), pages 160-174.
    7. Williams, Brent D. & Waller, Matthew A. & Ahire, Sanjay & Ferrier, Gary D., 2014. "Predicting retailer orders with POS and order data: The inventory balance effect," European Journal of Operational Research, Elsevier, vol. 232(3), pages 593-600.
    8. Lin, Feng & Jia, Tao & Wu, Feng & Yang, Zhen, 2019. "Impacts of two-stage deterioration on an integrated inventory model under trade credit and variable capacity utilization," European Journal of Operational Research, Elsevier, vol. 272(1), pages 219-234.

  3. L. Zhang & Élise Vareilles & Michel Aldanondo, 2013. "Generic bill of functions, materials and operations for SAP2 configuration," Post-Print hal-00846451, HAL.

    Cited by:

    1. Clément Chatras & Vincent Giard & Mustapha Sali, 2016. "Mass customisation impact on bill of materials structure and master production schedule development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5634-5650, September.

  4. L. Zhang & J. Jiao, 2013. "A graph rewriting system for process platform planning," Post-Print hal-00846449, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.
    2. Scalice, Régis Kovacs & da Silva, José Oliveira & Ostetto, Jaqueline Nazario & de Paula, Gabriele Aguiar, 2015. "Modular deployment using TRM and function analysis," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 1-11.

  5. D. Wu & L. Zhang & J. Jiao & R. Lu, 2013. "SysML-based design chain information modeling for variety management in production reconfiguration," Post-Print hal-00846436, HAL.

    Cited by:

    1. Alexander Brodsky & Guodong Shao & Frank Riddick, 2016. "Process analytics formalism for decision guidance in sustainable manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 27(3), pages 561-580, June.
    2. Lin Wang & Shi-Sheng Zhong & Yong-Jian Zhang, 2017. "Process configuration based on generative constraint satisfaction problem," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 945-957, April.
    3. Amro M. Farid, 2017. "Measures of reconfigurability and its key characteristics in intelligent manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 28(2), pages 353-369, February.

  6. L. Zhang & B. Rodrigues, 2013. "A petri net model of process platform-based production configuration," Post-Print hal-00846422, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  7. A. Alblas & L. Zhang & H. Wortmann, 2012. "Representing function-technology platform based on the unified modeling language," Post-Print hal-00798932, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.
    2. Clément Chatras & Vincent Giard & Mustapha Sali, 2016. "Mass customisation impact on bill of materials structure and master production schedule development," International Journal of Production Research, Taylor & Francis Journals, vol. 54(18), pages 5634-5650, September.

  8. L. Zhang, 2012. "Identifying mapping relationships between functions and technologies with association rule mining," Post-Print hal-00798934, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  9. L. Zhang & C.K.M. Lee & Q. Xu, 2010. "Towards product customization: An integrated order fulfillment system," Post-Print hal-00798983, HAL.

    Cited by:

    1. Saghiri, Soroosh & Wilding, Richard & Mena, Carlos & Bourlakis, Michael, 2017. "Toward a three-dimensional framework for omni-channel," Journal of Business Research, Elsevier, vol. 77(C), pages 53-67.
    2. Trentin, Alessio & Perin, Elisa & Forza, Cipriano, 2012. "Product configurator impact on product quality," International Journal of Production Economics, Elsevier, vol. 135(2), pages 850-859.

  10. L. Zhang & B. Rodrigues, 2010. "Nested colored timed Petri nets for production configuration of product families," Post-Print hal-00798992, HAL.

    Cited by:

    1. Lin Wang & Shi-Sheng Zhong & Yong-Jian Zhang, 2017. "Process configuration based on generative constraint satisfaction problem," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 945-957, April.
    2. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  11. L. Zhang & X. You & J. Jiao & P. Helo, 2009. "Supply chain configuration with coordinated product, process and logistics decision: An approach based on Petri nets," Post-Print hal-00798997, HAL.

    Cited by:

    1. Nagesh Shukla & Senevi Kiridena, 2016. "A fuzzy rough sets-based multi-agent analytics framework for dynamic supply chain configuration," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 6984-6996, December.
    2. Maina G. & H.M.Bwisa, 2014. "Factors that Affect the Quality of Inputs in Manufacturing Organisations: A Case Study of Nampak Kenya Limited," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(10), pages 288-313, October.
    3. Linda Zhang & Carman Lee & Shuzhu Zhang, 2016. "An integrated model for strategic supply chain design: Formulation and ABC-based solution approach," Post-Print hal-01744868, HAL.

  12. L. Zhang & B. Rodrigues, 2009. "A tree unification approach to constructing generic processes," Post-Print hal-00799012, HAL.

    Cited by:

    1. Montejano García, Salomón & Campos García, Rocio Montserrat & García Ramírez, Ricardo, 2017. "Ventajas competitivas en empresas manufactureras, resultado de los sistemas de producción y la innovación," Small Business International Review, Asociación Española de Contabilidad y Administración de Empresas - AECA, vol. 1(1), pages 53-70, July.
    2. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  13. L. Zhang, 2009. "Modeling process platforms based on an object-oriented visual diagrammatic modeling language," Post-Print hal-00799014, HAL.

    Cited by:

    1. Zhang, Linda L., 2015. "A literature review on multitype platforming and framework for future research," International Journal of Production Economics, Elsevier, vol. 168(C), pages 1-12.

  14. J. Jiao & L. Zhang & Y. Zhang & S. Pokharel, 2008. "Association rule mining for product and process variety mapping," Post-Print hal-00799025, HAL.

    Cited by:

    1. Mohamed Kashkoush & Hoda ElMaraghy, 2017. "An integer programming model for discovering associations between manufacturing system capabilities and product features," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 1031-1044, April.

Articles

  1. Zhou, P. & Zhang, L. & Zhou, D.Q. & Xia, W.J., 2013. "Modeling economic performance of interprovincial CO2 emission reduction quota trading in China," Applied Energy, Elsevier, vol. 112(C), pages 1518-1528.

    Cited by:

    1. Chang, Kai & Pei, Ping & Zhang, Chao & Wu, Xin, 2017. "Exploring the price dynamics of CO2 emissions allowances in China's emissions trading scheme pilots," Energy Economics, Elsevier, vol. 67(C), pages 213-223.
    2. Zhang, Xiao-Bing & Xu, Jing, 2018. "Optimal policies for climate change: A joint consideration of CO2 and methane," Applied Energy, Elsevier, vol. 211(C), pages 1021-1029.
    3. Hongbo Duan, Lei Zhu, Gürkan Kumbaroglu, and Ying Fan, 2016. "Regional Opportunities for China To Go Low-Carbon: Results from the REEC Model," The Energy Journal, International Association for Energy Economics, vol. 0(China Spe).
    4. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    5. Tang, Ling & Shi, Jiarui & Bao, Qin, 2016. "Designing an emissions trading scheme for China with a dynamic computable general equilibrium model," Energy Policy, Elsevier, vol. 97(C), pages 507-520.
    6. Zhang, Xu & Qi, Tian-yu & Ou, Xun-min & Zhang, Xi-liang, 2017. "The role of multi-region integrated emissions trading scheme: A computable general equilibrium analysis," Applied Energy, Elsevier, vol. 185(P2), pages 1860-1868.
    7. Wang, M. & Zhou, P., 2017. "Does emission permit allocation affect CO2 cost pass-through? A theoretical analysis," Energy Economics, Elsevier, vol. 66(C), pages 140-146.
    8. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    9. Feng, Chenpeng & Chu, Feng & Ding, Jingjing & Bi, Gongbing & Liang, Liang, 2015. "Carbon Emissions Abatement (CEA) allocation and compensation schemes based on DEA," Omega, Elsevier, vol. 53(C), pages 78-89.
    10. Jiang, M. & Liang, X. & Reiner, D. & Lin, B., 2018. "Stakeholder Views on Interactions between Low-carbon Policies and Carbon Markets in China: Lessons from the Guangdong ETS," Cambridge Working Papers in Economics 1811, Faculty of Economics, University of Cambridge.
    11. Zhang, Weijie & Zhang, Ning & Yu, Yanni, 2019. "Carbon mitigation effects and potential cost savings from carbon emissions trading in China's regional industry," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 1-11.
    12. Chang, Kai & Chang, Hao, 2016. "Cutting CO2 intensity targets of interprovincial emissions trading in China," Applied Energy, Elsevier, vol. 163(C), pages 211-221.
    13. Wen-Hsien Tsai & Shi-Yin Jhong, 2018. "Carbon Emissions Cost Analysis with Activity-Based Costing," Sustainability, MDPI, Open Access Journal, vol. 10(8), pages 1-26, August.
    14. Feng Dong & Ruyin Long & Zhengfu Bian & Xihui Xu & Bolin Yu & Ying Wang, 2017. "Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from 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. 87(3), pages 1453-1468, July.
    15. Fan, Ying & Wu, Jie & Xia, Yan & Liu, Jing-Yu, 2016. "How will a nationwide carbon market affect regional economies and efficiency of CO2 emission reduction in China?," China Economic Review, Elsevier, vol. 38(C), pages 151-166.
    16. 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.
    17. Wang, Ge & Zhang, Qi & Li, Yan & Mclellan, Benjamin C., 2019. "Efficient and equitable allocation of renewable portfolio standards targets among China's provinces," Energy Policy, Elsevier, vol. 125(C), pages 170-180.
    18. Qinliang Tan & Yihong Ding & Yimei Zhang, 2017. "Optimization Model of an Efficient Collaborative Power Dispatching System for Carbon Emissions Trading in China," Energies, MDPI, Open Access Journal, vol. 10(9), pages 1-19, September.
    19. Karplus, Valerie J. & Rausch, Sebastian & Zhang, Da, 2016. "Energy caps: Alternative climate policy instruments for China?," Energy Economics, Elsevier, vol. 56(C), pages 422-431.
    20. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    21. 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.
    22. Wei, Yi-Ming & Wang, Lu & Liao, Hua & Wang, Ke & Murty, Tad & Yan, Jinyue, 2014. "Responsibility accounting in carbon allocation: A global perspective," Applied Energy, Elsevier, vol. 130(C), pages 122-133.
    23. Xi Jin & Bin Zou & Chan Wang & Kaifeng Rao & Xiaowen Tang, 2019. "Carbon Emission Allocation in a Chinese Province-Level Region Based on Two-Stage Network Structures," Sustainability, MDPI, Open Access Journal, vol. 11(5), pages 1-24, March.
    24. Jun Yang & Xin Feng & Yufei Tang & Jun Yan & Haibo He & Chao Luo, 2015. "A Power System Optimal Dispatch Strategy Considering the Flow of Carbon Emissions and Large Consumers," Energies, MDPI, Open Access Journal, vol. 8(9), pages 1-20, August.
    25. 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.
    26. Ke Wang & Yi-Ming Wei & Zhimin Huang, 2015. "Potential gains from carbon emissions trading in China: A DEA based estimation on abatement cost savings," CEEP-BIT Working Papers 84, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    27. Li, Guangyao & Yang, Jin & Chen, Dingjiang & Hu, Shanying, 2017. "Impacts of the coming emission trading scheme on China’s coal-to-materials industry in 2020," Applied Energy, Elsevier, vol. 195(C), pages 837-849.
    28. Kejia Yang & Yalin Lei & Weiming Chen & Lingna Liu, 2018. "Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model," 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. 91(1), pages 321-335, March.
    29. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Impact of emission regulation policies on Chinese power firms’ reusable environmental investments and sustainable operations," Energy Policy, Elsevier, vol. 108(C), pages 163-177.
    30. Chen, Guangwu & Wiedmann, Thomas & Wang, Yafei & Hadjikakou, Michalis, 2016. "Transnational city carbon footprint networks – Exploring carbon links between Australian and Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1082-1092.
    31. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    32. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    33. Wang, Ke & Zhang, Xian & Yu, Xueying & Wei, Yi-Ming & Wang, Bin, 2016. "Emissions trading and abatement cost savings: An estimation of China's thermal power industry," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1005-1017.
    34. 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).
    35. Zhao, Xueting & Wesley Burnett, J. & Lacombe, Donald J., 2015. "Province-level convergence of China’s carbon dioxide emissions," Applied Energy, Elsevier, vol. 150(C), pages 286-295.
    36. 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.
    37. Mu, Yaqian & Evans, Samuel & Wang, Can & Cai, Wenjia, 2018. "How will sectoral coverage affect the efficiency of an emissions trading system? A CGE-based case study of China," Applied Energy, Elsevier, vol. 227(C), pages 403-414.
    38. Ahmed, Khalid, 2017. "Revisiting the role of financial development for energy-growth-trade nexus in BRICS economies," Energy, Elsevier, vol. 128(C), pages 487-495.
    39. Min Yang & Qingxian An & Tao Ding & Pengzhen Yin & Liang Liang, 2019. "Carbon emission allocation in China based on gradually efficiency improvement and emission reduction planning principle," Annals of Operations Research, Springer, vol. 278(1), pages 123-139, July.
    40. Lu, Shibao & Wang, Jianhua & Shang, Yizi & Bao, Haijun & Chen, Huixiong, 2017. "Potential assessment of optimizing energy structure in the city of carbon intensity target," Applied Energy, Elsevier, vol. 194(C), pages 765-773.
    41. Huang, Hai & Roland-Holst, David & Springer, Cecilia & Lin, Jiang & Cai, Wenjia & Wang, Can, 2019. "Emissions trading systems and social equity: A CGE assessment for China," Applied Energy, Elsevier, vol. 235(C), pages 1254-1265.
    42. Chen, Jiandong & Cheng, Shulei & Song, Malin & Wu, Yinyin, 2016. "A carbon emissions reduction index: Integrating the volume and allocation of regional emissions," Applied Energy, Elsevier, vol. 184(C), pages 1154-1164.
    43. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, Open Access Journal, vol. 12(11), pages 1-27, June.
    44. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, Open Access Journal, vol. 10(11), pages 1-16, October.
    45. Ji, Xiang & Li, Guo & Wang, Zhaohua, 2017. "Allocation of emission permits for China’s power plants: A systemic Pareto optimal method," Applied Energy, Elsevier, vol. 204(C), pages 607-619.
    46. Wu, Jianxin & Ma, Chunbo & Tang, Kai, 2019. "The static and dynamic heterogeneity and determinants of marginal abatement cost of CO2 emissions in Chinese cities," Energy, Elsevier, vol. 178(C), pages 685-694.
    47. Cui, Lian-Biao & Fan, Ying & Zhu, Lei & Bi, Qing-Hua, 2014. "How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target?," Applied Energy, Elsevier, vol. 136(C), pages 1043-1052.
    48. Pan, Xunzhang & Teng, Fei & Ha, Yuejiao & Wang, Gehua, 2014. "Equitable Access to Sustainable Development: Based on the comparative study of carbon emission rights allocation schemes," Applied Energy, Elsevier, vol. 130(C), pages 632-640.
    49. Shixiong Cheng & Wei Liu & Kai Lu, 2018. "Economic Growth Effect and Optimal Carbon Emissions under China’s Carbon Emissions Reduction Policy: A Time Substitution DEA Approach," Sustainability, MDPI, Open Access Journal, vol. 10(5), pages 1-23, May.
    50. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    51. Lin, Boqiang & Du, Kerui, 2015. "Energy and CO2 emissions performance in China's regional economies: Do market-oriented reforms matter?," Energy Policy, Elsevier, vol. 78(C), pages 113-124.
    52. Wu, Rui & Dai, Hancheng & Geng, Yong & Xie, Yang & Masui, Toshihiko & Tian, Xu, 2016. "Achieving China’s INDC through carbon cap-and-trade: Insights from Shanghai," Applied Energy, Elsevier, vol. 184(C), pages 1114-1122.
    53. Zheng, Bo & Zhang, Qiang & Borken-Kleefeld, Jens & Huo, Hong & Guan, Dabo & Klimont, Zbigniew & Peters, Glen P. & He, Kebin, 2015. "How will greenhouse gas emissions from motor vehicles be constrained in China around 2030?," Applied Energy, Elsevier, vol. 156(C), pages 230-240.
    54. Song, Xiangnan & Lu, Yujie & Shen, Liyin & Shi, Xunpeng, 2018. "Will China's building sector participate in emission trading system? Insights from modelling an owner's optimal carbon reduction strategies," Energy Policy, Elsevier, vol. 118(C), pages 232-244.
    55. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
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