IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v44y2023i6p3185-3198.html
   My bibliography  Save this article

Carbon allowance allocation rules under emission intensity regulation: Grandfathering versus benchmarking

Author

Listed:
  • Zhao‐Yong Sun
  • Yu‐Jue Wang
  • Dongdong Li

Abstract

This paper compares the impacts of grandfathering and benchmarking rules on firms' operating decisions, consumer surplus, and social welfare with different emission intensity limits. The findings suggest that with tight emission intensity limits, grandfathering rules are more effective in controlling carbon emissions and enhancing social welfare. Benchmarking rule with relaxed emission intensity can incentivize firms to increase output, lower product prices, and increase consumer surplus. Under relaxed intensity regulation, grandfathering rule can encourage more potential entrants to participate in the product market, and benchmarking rule can motivate firms to take more outputs, resulting higher consumer surplus and more carbon emissions.

Suggested Citation

  • Zhao‐Yong Sun & Yu‐Jue Wang & Dongdong Li, 2023. "Carbon allowance allocation rules under emission intensity regulation: Grandfathering versus benchmarking," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3185-3198, September.
  • Handle: RePEc:wly:mgtdec:v:44:y:2023:i:6:p:3185-3198
    DOI: 10.1002/mde.3870
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.3870
    Download Restriction: no

    File URL: https://libkey.io/10.1002/mde.3870?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
    ---><---

    References listed on IDEAS

    as
    1. Cramton, Peter & Kerr, Suzi, 2002. "Tradeable carbon permit auctions: How and why to auction not grandfather," Energy Policy, Elsevier, vol. 30(4), pages 333-345, March.
    2. Hirose, Kosuke & Matsumura, Toshihiro, 2020. "A comparison between emission intensity and emission cap regulations," Energy Policy, Elsevier, vol. 137(C).
    3. Jin, Yana & Liu, Xiaorui & Chen, Xiang & Dai, Hancheng, 2020. "Allowance allocation matters in China's carbon emissions trading system," Energy Economics, Elsevier, vol. 92(C).
    4. Xu, Xiaoping & Zhang, Mengying & Chen, Lai & Yu, Yugang, 2022. "The region-cap allocation and delivery time decision in the marketplace mode under the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 247(C).
    5. Jensen, Jesper & Rasmussen, Tobias N., 2000. "Allocation of CO2 Emissions Permits: A General Equilibrium Analysis of Policy Instruments," Journal of Environmental Economics and Management, Elsevier, vol. 40(2), pages 111-136, September.
    6. E. Woerdman & O. Couwenberg & A. Nentjes, 2009. "Energy prices and emissions trading: windfall profits from grandfathering?," European Journal of Law and Economics, Springer, vol. 28(2), pages 185-202, October.
    7. Ji, Jingna & Zhang, Zhiyong & Yang, Lei, 2017. "Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 68-84.
    8. Zhang, Yue-Jun & Wang, Ao-Dong & Tan, Weiping, 2015. "The impact of China's carbon allowance allocation rules on the product prices and emission reduction behaviors of ETS-covered enterprises," Energy Policy, Elsevier, vol. 86(C), pages 176-185.
    9. Stern, David I. & Jotzo, Frank, 2010. "How ambitious are China and India's emissions intensity targets?," Energy Policy, Elsevier, vol. 38(11), pages 6776-6783, November.
    10. Burtraw, Dallas & Palmer, Karen & Bharvirkar, Ranjit & Paul, Anthony, 2002. "The Effect on Asset Values of the Allocation of Carbon Dioxide Emission Allowances," The Electricity Journal, Elsevier, vol. 15(5), pages 51-62, June.
    11. Yang, Wen & Pan, Yanchun & Ma, Jianhua & Yang, Tianyue & Ke, Xiao, 2020. "Effects of allowance allocation rules on green technology investment and product pricing under the cap-and-trade mechanism," Energy Policy, Elsevier, vol. 139(C).
    12. Knut Rosendahl & Halvor Storrøsten, 2011. "Emissions Trading with Updated Allocation: Effects on Entry/Exit and Distribution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 243-261, June.
    13. Shuai Jin & Yifei Niu & Liuwei Zhao, 2022. "Optimal purchase planning of initial emission permits with the paid use and trading system based on mean–variance model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2409-2420, September.
    14. Schmidt, Robert C. & Heitzig, Jobst, 2014. "Carbon leakage: Grandfathering as an incentive device to avert firm relocation," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 209-223.
    15. Ino, Hiroaki & Matsumura, Toshihiro, 2019. "The equivalence of emission tax with tax-revenue refund and emission intensity regulation," Economics Letters, Elsevier, vol. 182(C), pages 126-128.
    16. Zhang, Lirong & Li, Yakun & Jia, Zhijie, 2018. "Impact of carbon allowance allocation on power industry in China’s carbon trading market: Computable general equilibrium based analysis," Applied Energy, Elsevier, vol. 229(C), pages 814-827.
    17. Edwards, T. Huw. & Hutton, John P., 2001. "Allocation of carbon permits within a country: a general equilibrium analysis of the United Kingdom," Energy Economics, Elsevier, vol. 23(4), pages 371-386, July.
    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. Yahui An & Zezheng Qin, 2023. "Can local social norms motivate green innovation: Evidence from China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3572-3584, September.
    2. Wang, Tingsong & Wu, Zehua & Cheng, Peiyue & Wang, Yadong, 2024. "The effect of carbon quota allocation methods on maritime supply chain emission reduction," Transport Policy, Elsevier, vol. 157(C), pages 155-166.

    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. 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.
    2. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    3. Zhang, Xuefeng & Li, Zhe & Li, Guo, 2024. "Grandfather-based or benchmark-based: Strategy choice for carbon quota allocation methods in the carbon neutrality era," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    4. Yu-Jie Hu & Lishan Yang & Fali Duan & Honglei Wang & Chengjiang Li, 2022. "A Scientometric Analysis and Review of the Emissions Trading System," Energies, MDPI, vol. 15(12), pages 1-20, June.
    5. Yuan, Jiahang & Wang, Li & Li, Yun, 2024. "Carbon emission reduction dynamic decision-making in the electricity supply chain with different carbon emission allowance principles," Energy, Elsevier, vol. 312(C).
    6. Katrin Rehdanz & Richard S.J. Tol, 2004. "On Multi-Period Allocation Of Tradable Emission Permits," Working Papers FNU-43, Research unit Sustainability and Global Change, Hamburg University, revised Apr 2004.
    7. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    8. Anouliès, Lisa, 2017. "Heterogeneous firms and the environment: a cap-and-trade program," Journal of Environmental Economics and Management, Elsevier, vol. 84(C), pages 84-101.
    9. Naiqi Liu & Wansheng Tang & Yanfei Lan & Huili Pei, 2024. "Pricing and carbon reduction decisions for a new uncertain dual-channel supply chain under cap-and-trade regulation," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 415-448, September.
    10. Yun-Fei Yao & Qiao-Mei Liang, 2016. "Approaches to carbon allowance allocation in China: a computable general equilibrium analysis," 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(1), pages 333-351, November.
    11. Sun, Tao & Zhang, Hongwei & Wang, Yuan & Meng, Xiangming & Wang, Chenwan, 2010. "The application of environmental Gini coefficient (EGC) in allocating wastewater discharge permit: The case study of watershed total mass control in Tianjin, China," Resources, Conservation & Recycling, Elsevier, vol. 54(9), pages 601-608.
    12. Philippe Quirion, 2022. "Output-based allocation and output-based rebates: a survey," Chapters, in: Handbook on Trade Policy and Climate Change, chapter 7, pages 94-107, Edward Elgar Publishing.
    13. Bin Ye & Jingjing Jiang & Lixin Miao & Ji Li & Yang Peng, 2015. "Innovative Carbon Allowance Allocation Policy for the Shenzhen Emission Trading Scheme in China," Sustainability, MDPI, vol. 8(1), pages 1-23, December.
    14. Wang, M. & Zhou, P., 2022. "A two-step auction-refund allocation rule of CO2 emission permits," Energy Economics, Elsevier, vol. 113(C).
    15. Sun, Tao & Zhang, Hongwei & Wang, Yuan, 2013. "The application of information entropy in basin level water waste permits allocation in China," Resources, Conservation & Recycling, Elsevier, vol. 70(C), pages 50-54.
    16. Yue-Jun Zhang & Ya-Fang Sun & Bao-Feng Huo, 2023. "The optimal product pricing and carbon emissions reduction profit allocation of CET-covered enterprises in the cooperative supply chain," Annals of Operations Research, Springer, vol. 329(1), pages 871-899, October.
    17. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    18. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    19. Julien Lefevre, 2018. "Modeling the Socioeconomic Impacts of the Adoption of a Carbon Pricing Instrument – Literature review," CIRED Working Papers hal-03128619, HAL.
    20. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.

    More about this item

    Statistics

    Access and download statistics

    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:wly:mgtdec:v:44:y:2023:i:6:p:3185-3198. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    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.