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Carbon emission abatement quota allocation in Chinese manufacturing industries: An integrated cooperative game data envelopment analysis approach

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  • Feng Li
  • Ali Emrouznejad
  • Guo-liang Yang
  • Yongjun Li

Abstract

The Chinese government announced to cut its carbon emissions intensity by 60%–65% from its 2005 level. To realize the national abatement commitment, a rational allocation into its subunits (i.e. industries, provinces) is eagerly needed. Centralized allocation models can maximize the overall interests, but might cause implementation difficulty and fierce resistance from individual subunits. Based on this observation, this article will address the carbon emission abatement quota allocation problem from decentralized perspective, taking the competitive and cooperative relationships simultaneously into account. To this end, this article develops an integrated cooperative game data envelopment analysis (DEA) approach. We first investigate the relative efficiency evaluation by taking flexible carbon emission abatement allocation plans into account, and then define a super-additive characteristic function for developing a cooperative game among units. To calculate the nucleolus-based allocation plan, a practical computation procedure is developed based on the constraint generation mechanism. Further, we present a two-layer way to allocate the CO2 abatement quota into different sub-industries and further different provinces in Chinese manufacturing industries. The empirical results show that five sub-industries (Processing of petroleum, coking and processing of nuclear fuel; Smelting and pressing of ferrous metals; Manufacture of non-metallic mineral products; Manufacture of raw chemical materials and chemical product; Smelting and pressing of non-ferrous metals) and two provinces (Guangdong and Shandong) will be allocated more than 10% of the total national carbon emission abatement quota.

Suggested Citation

  • Feng Li & Ali Emrouznejad & Guo-liang Yang & Yongjun Li, 2020. "Carbon emission abatement quota allocation in Chinese manufacturing industries: An integrated cooperative game data envelopment analysis approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(8), pages 1259-1288, August.
    • Handle: RePEc:taf:tjorxx:v:71:y:2020:i:8:p:1259-1288
    DOI: 10.1080/01605682.2019.1609892
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    Citations

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    Cited by:

    1. Laura Carosi & Ana Camanho & Giovanna D’Inverno & Kristof Witte & Rossana Riccardi, 2020. "Preface to the special issue on performance measurement and efficiency analysis—theory and practice," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 409-412, December.
    2. Yongjun Li & Wenhui Hou & Weiwei Zhu & Feng Li & Liang Liang, 2021. "Provincial carbon emission performance analysis in China based on a Malmquist data envelopment analysis approach with fixed-sum undesirable outputs," Annals of Operations Research, Springer, vol. 304(1), pages 233-261, September.
    3. Chenpeng Feng & Rong Zhou & Jingjing Ding & Xiangze Xiao & Mingyue Pu, 2023. "A Method for Allocation of Carbon Emission Quotas to Provincial-Level Industries in China Based on DEA," Sustainability, MDPI, vol. 15(3), pages 1-21, February.
    4. Zhu, Qingyuan & Aparicio, Juan & Li, Feng & Wu, Jie & Kou, Gang, 2022. "Determining closest targets on the extended facet production possibility set in data envelopment analysis: Modeling and computational aspects," European Journal of Operational Research, Elsevier, vol. 296(3), pages 927-939.
    5. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    6. Chu, Junfei & Hou, Tianteng & Li, Feng & Yuan, Zhe, 2024. "Dynamic bargaining game DEA carbon emissions abatement allocation and the Nash equilibrium," Energy Economics, Elsevier, vol. 134(C).
    7. Ioannis E. Tsolas, 2023. "Efficiency Measurement of Lignite-Fired Power Plants in Greece Using a DEA-Bootstrap Approach," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    8. Feng Li & Han Wu & Qingyuan Zhu & Liang Liang & Gang Kou, 2021. "Data envelopment analysis cross efficiency evaluation with reciprocal behaviors," Annals of Operations Research, Springer, vol. 302(1), pages 173-210, July.
    9. Qingxian An & Ping Wang & Honglin Yang & Zongrun Wang, 2021. "Fixed cost allocation in two-stage system using DEA from a noncooperative view," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(4), pages 1077-1102, December.

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