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A Method for Allocation of Carbon Emission Quotas to Provincial-Level Industries in China Based on DEA

Author

Listed:
  • Chenpeng Feng

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Rong Zhou

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Jingjing Ding

    (School of Management, Hefei University of Technology, Hefei 230009, China)

  • Xiangze Xiao

    (Zhejiang Economic Information Center, Hangzhou 310006, China)

  • Mingyue Pu

    (School of Accounting and Finance, Anhui Xinhua University, Hefei 230088, China)

Abstract

At present, China implements a quota-based trading mechanism to achieve carbon emission reduction, in which the allocation of carbon emission quotas among different provinces is short of considering the influence of unbalanced provincial development. Heterogeneity among the provincial-level three major industries, namely, agriculture, manufacturing and mining, and service industries, is a case in point. To address this insufficiency, this paper proposes a novel parallel data envelopment analysis (DEA) based method for carbon emission quota allocation. The method models each province as a decision-making unit (DMU) and the provincial-level three major industries as parallel sub-decision-making units (SDMUs). A distinguished feature of the method is that it makes explicit tradeoffs between efficiency and equality considerations for policymakers in allocating the carbon quotas among three heterogeneous provincial-level major industries. The empirical results show that the proposed method effectively improves the overall provincial gross domestic product (GDP) potentials through the reallocation of carbon quotas among industries while the equality level is not worse off. This work is helpful for policymakers to achieve a long-term emission reduction target and provides suggestions for improving the initial allocation mechanism of a national carbon trading market.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:3:p:2632-:d:1054292
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    References listed on IDEAS

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    1. Ru Li & Bao-Jun Tang, 2016. "Initial carbon quota allocation methods of power sectors: a China case study," 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. 84(2), pages 1075-1089, November.
    2. E G Gomes & M P E Lins, 2008. "Modelling undesirable outputs with zero sum gains data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 616-623, May.
    3. Baumgartner, Stefan & Dyckhoff, Harald & Faber, Malte & Proops, John & Schiller, Johannes, 2001. "The concept of joint production and ecological economics," Ecological Economics, Elsevier, vol. 36(3), pages 365-372, March.
    4. Ang, Sheng & Liu, Pei & Yang, Feng, 2020. "Intra-Organizational and inter-organizational resource allocation in two-stage network systems," Omega, Elsevier, vol. 91(C).
    5. Xu, Xianshuo & Zhao, Tao & Liu, Nan & Kang, Jidong, 2014. "Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective," Applied Energy, Elsevier, vol. 132(C), pages 298-307.
    6. Xiyang Lei & Yongjun Li & Qiwei Xie & Liang Liang, 2015. "Measuring Olympics achievements based on a parallel DEA approach," Annals of Operations Research, Springer, vol. 226(1), pages 379-396, March.
    7. 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.
    8. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    9. Zhou, P. & Ang, B.W. & Poh, K.L., 2008. "Measuring environmental performance under different environmental DEA technologies," Energy Economics, Elsevier, vol. 30(1), pages 1-14, January.
    10. Wu, Jie & Zhu, Qingyuan & Liang, Liang, 2016. "CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China," Applied Energy, Elsevier, vol. 166(C), pages 282-291.
    11. 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.
    12. Marvin B. Mandell, 1991. "Modelling Effectiveness-Equity Trade-Offs in Public Service Delivery Systems," Management Science, INFORMS, vol. 37(4), pages 467-482, April.
    13. Mahdiloo, Mahdi & Ngwenyama, Ojelanki & Scheepers, Rens & Tamaddoni, Ali, 2018. "Managing emissions allowances of electricity producers to maximize CO2 abatement: DEA models for analyzing emissions and allocating emissions allowances," International Journal of Production Economics, Elsevier, vol. 205(C), pages 244-255.
    14. 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.
    15. Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
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