IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v116y2022ics014098832200562x.html
   My bibliography  Save this article

Coordination between the energy-consumption permit trading scheme and carbon emissions trading: Evidence from China

Author

Listed:
  • Zhang, Yanfang
  • Wei, Jinpeng
  • Gao, Qi
  • Shi, Xunpeng
  • Zhou, Dequn

Abstract

Market-oriented instruments are expected to minimize energy costs and carbon abatement, but interactions among them may create challenges. The Chinese government issued a pilot energy-consumption permit trading scheme (ECPTS) in Fujian Province, where the carbon emissions trading scheme (ETS) is in operation, thus providing an opportunity to analyze the interactions between two related market instruments. Based on the game-fixed cost allocation model and leader-follower game model, this paper designed an allocation scheme of energy-consumption permits (ECPs) based on coordination, efficiency and equity, and compared the differences in the caps, allocation structure and regional economic inequity among cities. The results of the Fujian case study show that when considering the optimal cross efficiency, the allocation of ECPs and carbon allowances are dominated by coastal cities with booming economies, which may entrench economic inequality between cities in Fujian. By introducing the equity principle, the allocation structure of ECPs among cities will change significantly, especially in underdeveloped cities. With the coordination mechanism of the ECPTS and ETS, the inequity in the distribution of economic development rights among cities can be moderated, which indicates that the designed approach has advantages in resource allocation. In addition, it is more conducive to energy saving and emission reduction if the provincial government prioritizes the allocation efficiency of ECPs instead of carbon allowances.

Suggested Citation

  • Zhang, Yanfang & Wei, Jinpeng & Gao, Qi & Shi, Xunpeng & Zhou, Dequn, 2022. "Coordination between the energy-consumption permit trading scheme and carbon emissions trading: Evidence from China," Energy Economics, Elsevier, vol. 116(C).
  • Handle: RePEc:eee:eneeco:v:116:y:2022:i:c:s014098832200562x
    DOI: 10.1016/j.eneco.2022.106433
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S014098832200562X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2022.106433?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hirose, Kosuke & Matsumura, Toshihiro, 2020. "A comparison between emission intensity and emission cap regulations," Energy Policy, Elsevier, vol. 137(C).
    2. Yu, Zhongjue & Geng, Yong & Calzadilla, Alvaro & Bleischwitz, Raimund, 2022. "China's unconventional carbon emissions trading market: The impact of a rate-based cap in the power generation sector," Energy, Elsevier, vol. 255(C).
    3. Franzò, Simone & Frattini, Federico & Cagno, Enrico & Trianni, Andrea, 2019. "A multi-stakeholder analysis of the economic efficiency of industrial energy efficiency policies: Empirical evidence from ten years of the Italian White Certificate Scheme," Applied Energy, Elsevier, vol. 240(C), pages 424-435.
    4. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    5. Yang, Mian & Hou, Yaru & Fang, Chao & Duan, Hongbo, 2020. "Constructing energy-consuming right trading system for China's manufacturing industry in 2025," Energy Policy, Elsevier, vol. 144(C).
    6. Pan, Yuling & Dong, Feng, 2022. "Design of energy use rights trading policy from the perspective of energy vulnerability," Energy Policy, Elsevier, vol. 160(C).
    7. Sebastián Lozano & Gabriel Villa, 2004. "Centralized Resource Allocation Using Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 22(1), pages 143-161, July.
    8. Sorrell, Steve & Harrison, David & Radov, Daniel & Klevnas, Per & Foss, Andrew, 2009. "White certificate schemes: Economic analysis and interactions with the EU ETS," Energy Policy, Elsevier, vol. 37(1), pages 29-42, January.
    9. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    10. Lin, Boqiang & Jia, Zhijie, 2017. "The impact of Emission Trading Scheme (ETS) and the choice of coverage industry in ETS: A case study in China," Applied Energy, Elsevier, vol. 205(C), pages 1512-1527.
    11. Gregor Semieniuk & Lance Taylor & Armon Rezai & Duncan K. Foley, 2021. "Plausible energy demand patterns in a growing global economy with climate policy," Nature Climate Change, Nature, vol. 11(4), pages 313-318, April.
    12. Annicchiarico, Barbara & Di Dio, Fabio, 2015. "Environmental policy and macroeconomic dynamics in a new Keynesian model," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 1-21.
    13. Fang, Lei, 2013. "A generalized DEA model for centralized resource allocation," European Journal of Operational Research, Elsevier, vol. 228(2), pages 405-412.
    14. Chu, Junfei & Wu, Jie & Chu, Chengbin & Zhang, Tinglong, 2020. "DEA-based fixed cost allocation in two-stage systems: Leader-follower and satisfaction degree bargaining game approaches," Omega, Elsevier, vol. 94(C).
    15. Du, Juan & Cook, Wade D. & Liang, Liang & Zhu, Joe, 2014. "Fixed cost and resource allocation based on DEA cross-efficiency," European Journal of Operational Research, Elsevier, vol. 235(1), pages 206-214.
    16. Beasley, J. E., 2003. "Allocating fixed costs and resources via data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 147(1), pages 198-216, May.
    17. Yu, Anyu & You, Jianxin & Rudkin, Simon & Zhang, Hao, 2019. "Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis," Applied Energy, Elsevier, vol. 233, pages 232-243.
    18. Färe, Rolf & Grosskopf, Shawna & Pasurka,, Carl A., 2013. "Tradable permits and unrealized gains from trade," Energy Economics, Elsevier, vol. 40(C), pages 416-424.
    19. Jensen, S. G. & Skytte, K., 2002. "Interactions between the power and green certificate markets," Energy Policy, Elsevier, vol. 30(5), pages 425-435, April.
    20. Phylipsen, G J M & Bode, J W & Blok, K & Merkus, H & Metz, B, 1998. "A Triptych sectoral approach to burden differentiation; GHG emissions in the European bubble," Energy Policy, Elsevier, vol. 26(12), pages 929-943, October.
    21. Wang, Yizhong & Hang, Ye & Wang, Qunwei, 2022. "Joint or separate? An economic-environmental comparison of energy-consuming and carbon emissions permits trading in China," Energy Economics, Elsevier, vol. 109(C).
    22. Rosenow, Jan & Skoczkowski, Tadeusz & Thomas, Samuel & Węglarz, Arkadiusz & Stańczyk, Wojciech & Jędra, Michał, 2020. "Evaluating the Polish White Certificate scheme," Energy Policy, Elsevier, vol. 144(C).
    23. Huifang Tian & John Whalley, 2009. "Level versus Equivalent Intensity Carbon Mitigation Commitments," NBER Working Papers 15370, National Bureau of Economic Research, Inc.
    24. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2014. "Potential gains from trading bad outputs: The case of U.S. electric power plants," Resource and Energy Economics, Elsevier, vol. 36(1), pages 99-112.
    25. Banker, R. D. & Charnes, A. & Cooper, W. W. & Clarke, R., 1989. "Constrained game formulations and interpretations for data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 40(3), pages 299-308, June.
    26. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    27. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    28. 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.
    29. Yu, Ming-Miin & Chen, Li-Hsueh & Hsiao, Bo, 2016. "A fixed cost allocation based on the two-stage network data envelopment approach," Journal of Business Research, Elsevier, vol. 69(5), pages 1817-1822.
    30. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tianyu Luo & Hongmin Chen, 2023. "A Comparative Analysis of Separate and Joint Environmental Rights Trading Markets in China," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    2. Liu, Yajie & Dong, Feng & Li, Guoqing & Huang, Jianheng & Yang, Shanshan & Wang, Yulong, 2023. "Public willingness to support the policy of banning gasoline vehicles sales and its internal mechanism," Energy, Elsevier, vol. 271(C).
    3. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    4. Song, Malin & Zheng, Huanyu & Shen, Zhiyang, 2023. "Whether the carbon emissions trading system improves energy efficiency – Empirical testing based on China's provincial panel data," Energy, Elsevier, vol. 275(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Yanfang & Gao, Qi & Wei, Jinpeng & Shi, Xunpeng & Zhou, Dequn, 2023. "Can China's energy-consumption permit trading scheme achieve the “Porter” effect? Evidence from an estimated DSGE model," Energy Policy, Elsevier, vol. 180(C).
    2. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    3. An, Qingxian & Tao, Xiangyang & Xiong, Beibei & Chen, Xiaohong, 2022. "Frontier-based incentive mechanisms for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 302(1), pages 294-308.
    4. Xiong, Xi & Yang, Guo-liang & Zhou, De-qun & Wang, Zi-long, 2022. "How to allocate multi-period research resources? Centralized resource allocation for public universities in China using a parallel DEA-based approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. Feng Li & Qingyuan Zhu & Liang Liang, 2019. "A new data envelopment analysis based approach for fixed cost allocation," Annals of Operations Research, Springer, vol. 274(1), pages 347-372, March.
    6. Tianyu Luo & Hongmin Chen, 2023. "A Comparative Analysis of Separate and Joint Environmental Rights Trading Markets in China," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    7. Dai, Qianzhi & Li, Yongjun & Lei, Xiyang & Wu, Dengsheng, 2021. "A DEA-based incentive approach for allocating common revenues or fixed costs," European Journal of Operational Research, Elsevier, vol. 292(2), pages 675-686.
    8. An, Qingxian & Wang, Ping & Emrouznejad, Ali & Hu, Junhua, 2020. "Fixed cost allocation based on the principle of efficiency invariance in two-stage systems," European Journal of Operational Research, Elsevier, vol. 283(2), pages 662-675.
    9. Tao Ding & Ya Chen & Huaqing Wu & Yuqi Wei, 2018. "Centralized fixed cost and resource allocation considering technology heterogeneity: a DEA approach," Annals of Operations Research, Springer, vol. 268(1), pages 497-511, September.
    10. Ang, Sheng & Liu, Pei & Yang, Feng, 2020. "Intra-Organizational and inter-organizational resource allocation in two-stage network systems," Omega, Elsevier, vol. 91(C).
    11. Chu, Junfei & Wu, Jie & Chu, Chengbin & Zhang, Tinglong, 2020. "DEA-based fixed cost allocation in two-stage systems: Leader-follower and satisfaction degree bargaining game approaches," Omega, Elsevier, vol. 94(C).
    12. Menghan Chen & Sheng Ang & Lijing Jiang & Feng Yang, 2020. "Centralized resource allocation based on cross-evaluation considering organizational objective and individual preferences," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 529-565, June.
    13. Pan, Yuling & Dong, Feng, 2023. "Green finance policy coupling effect of fossil energy use rights trading and renewable energy certificates trading on low carbon economy: Taking China as an example," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 658-679.
    14. 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.
    15. Adel Hatami-Marbini & Zahra Ghelej Beigi & Hirofumi Fukuyama & Kobra Gholami, 2015. "Modeling Centralized Resources Allocation and Target Setting in Imprecise Data Envelopment Analysis," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1189-1213, November.
    16. Li, Yongjun & Lin, Lin & Dai, Qianzhi & Zhang, Linda, 2020. "Allocating common costs of multinational companies based on arm's length principle and Nash non-cooperative game," European Journal of Operational Research, Elsevier, vol. 283(3), pages 1002-1010.
    17. Li, Feng & Zhu, Qingyuan & Chen, Zhi, 2019. "Allocating a fixed cost across the decision making units with two-stage network structures," Omega, Elsevier, vol. 83(C), pages 139-154.
    18. Akram Dehnokhalaji & Mojtaba Ghiyasi & Pekka Korhonen, 2017. "Resource allocation based on cost efficiency," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(10), pages 1279-1289, October.
    19. Cherchye, Laurens & Rock, Bram De & Walheer, Barnabé, 2015. "Multi-output efficiency with good and bad outputs," European Journal of Operational Research, Elsevier, vol. 240(3), pages 872-881.
    20. Weiwei Zhu & Qian Zhang & Haiqing Wang, 2019. "Fixed costs and shared resources allocation in two-stage network DEA," Annals of Operations Research, Springer, vol. 278(1), pages 177-194, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:eneeco:v:116:y:2022:i:c:s014098832200562x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.