[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v92y2020ics0140988320303005.html
   My bibliography  Save this article

A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry

Author

Listed:
  • Qin, Quande
  • Liu, Yuan
  • Huang, Jia-Ping
Abstract
The allocation of carbon emissions reduction responsibility (CERR) is a fundamental step to carbon emissions trading (CET) market. In China's power industry, regions with divergent power generation efficiencies and energy structures are connected by a nationwide power grid, causing shifts in carbon emissions. We construct a graph restricted cooperative game model for the allocation of CERRs among regions by proposing a novel characteristic function to describe possible minimal carbon emissions in which power generation is prioritized by efficiency. We employ the Myerson value as the solution of the game to capture the structure of the power grid and the power transmission. Our results indicate the following: (1) Power producing regions with high ratio of clean energy such as “Southwest” and “Sichuan and Chongqing” obtain negative shares of CERR. This provides an incentive for them to contribute to carbon emissions reduction. (2) Large power consumers such as “East” and “Bohai Rim” should take larger CERRs because they transfer carbon emissions to the power producing regions. (3) The role of a region in the power transmission network is an important factor in allocating CERR. This study provides insightful policy implications for the construction of a CET market in China's power industry.

Suggested Citation

  • Qin, Quande & Liu, Yuan & Huang, Jia-Ping, 2020. "A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry," Energy Economics, Elsevier, vol. 92(C).
  • Handle: RePEc:eee:eneeco:v:92:y:2020:i:c:s0140988320303005
    DOI: 10.1016/j.eneco.2020.104960
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988320303005
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2020.104960?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. Jackson, Matthew O. & Wolinsky, Asher, 1996. "A Strategic Model of Social and Economic Networks," Journal of Economic Theory, Elsevier, vol. 71(1), pages 44-74, October.
    2. Sun, YongPing & Xue, JinJun & Shi, XunPeng & Wang, KeYing & Qi, ShaoZhou & Wang, Lei & Wang, Cheng, 2019. "A dynamic and continuous allowances allocation methodology for the prevention of carbon leakage: Emission control coefficients," Applied Energy, Elsevier, vol. 236(C), pages 220-230.
    3. Roger B. Myerson, 1977. "Graphs and Cooperation in Games," Mathematics of Operations Research, INFORMS, vol. 2(3), pages 225-229, August.
    4. Yang, Lisha & Lin, Boqiang, 2016. "Carbon dioxide-emission in China׳s power industry: Evidence and policy implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 258-267.
    5. Dong, Jun & Xue, Guiyuan & Dong, Mengmeng & Xu, Xiaolin, 2015. "Energy-saving power generation dispatching in China: Regulations, pilot projects and policy recommendations—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 1285-1300.
    6. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    7. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.
    8. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    9. Meng, Lei & Guo, Ju'e & Chai, Jian & Zhang, Zengkai, 2011. "China's regional CO2 emissions: Characteristics, inter-regional transfer and emission reduction policies," Energy Policy, Elsevier, vol. 39(10), pages 6136-6144, October.
    10. Her, Yunji & Chang, Youngho & Chun, Youngsub & Li, Yanfei, 2018. "A cooperative game theoretic approach on the stability of the ASEAN power grid," Energy Economics, Elsevier, vol. 75(C), pages 492-502.
    11. Peters, Glen P., 2008. "From production-based to consumption-based national emission inventories," Ecological Economics, Elsevier, vol. 65(1), pages 13-23, March.
    12. Guo, Zheng & Ma, Linwei & Liu, Pei & Jones, Ian & Li, Zheng, 2016. "A multi-regional modelling and optimization approach to China's power generation and transmission planning," Energy, Elsevier, vol. 116(P2), pages 1348-1359.
    13. Ju, Yiyi & Fujikawa, Kiyoshi, 2019. "Modeling the cost transmission mechanism of the emission trading scheme in China," Applied Energy, Elsevier, vol. 236(C), pages 172-182.
    14. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    15. Ahn, Jaekyun, 2014. "Assessment of initial emission allowance allocation methods in the Korean electricity market," Energy Economics, Elsevier, vol. 43(C), pages 244-255.
    16. 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.
    17. Yue-Jun Zhang & Jun-Fang Hao, 2017. "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, vol. 255(1), pages 117-140, August.
    18. Rodrigues, João & Domingos, Tiago, 2008. "Consumer and producer environmental responsibility: Comparing two approaches," Ecological Economics, Elsevier, vol. 66(2-3), pages 533-546, June.
    19. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    20. Mi, Zhifu & Zheng, Jiali & Meng, Jing & Zheng, Heran & Li, Xian & Coffman, D'Maris & Woltjer, Johan & Wang, Shouyang & Guan, Dabo, 2019. "Carbon emissions of cities from a consumption-based perspective," Applied Energy, Elsevier, vol. 235(C), pages 509-518.
    21. Gutiérrez, E. & Llorca, N. & Sánchez-Soriano, J. & Mosquera, M., 2018. "Sustainable allocation of greenhouse gas emission permits for firms with Leontief technologies," European Journal of Operational Research, Elsevier, vol. 269(1), pages 5-15.
    22. Bastianoni, Simone & Pulselli, Federico Maria & Tiezzi, Enzo, 2004. "The problem of assigning responsibility for greenhouse gas emissions," Ecological Economics, Elsevier, vol. 49(3), pages 253-257, July.
    23. Kahrl, Fredrich & Williams, James H. & Hu, Junfeng, 2013. "The political economy of electricity dispatch reform in China," Energy Policy, Elsevier, vol. 53(C), pages 361-369.
    24. Lindner, Soeren & Liu, Zhu & Guan, Dabo & Geng, Yong & Li, Xin, 2013. "CO2 emissions from China’s power sector at the provincial level: Consumption versus production perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 164-172.
    25. 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, vol. 11(5), pages 1-24, March.
    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. Henrik Zsiborács & András Vincze & István Háber & Gábor Pintér & Nóra Hegedűsné Baranyai, 2023. "Challenges of Establishing Solar Power Stations in Hungary," Energies, MDPI, vol. 16(1), pages 1-19, January.
    2. Mei, Tianhua & Liu, Jie & Guo, Jianming & Siano, Pierluigi & Jin, Xuanxuan, 2022. "Allocation of emission allowances considering strategic voting," Energy Economics, Elsevier, vol. 114(C).
    3. Tang, Songlin & Zhou, Wenbing & Li, Xinjin & Chen, Yingchao & Zhang, Qian & Zhang, Xiliang, 2021. "Subsidy strategy for distributed photovoltaics: A combined view of cost change and economic development," Energy Economics, Elsevier, vol. 97(C).
    4. Siying Yang & Wenxuan Sun & Zhouyi Wu & Yang He, 2022. "Can the SO2 emission trading system promote urban emission reduction?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 963-974, June.
    5. Sun, Chuanwang & Zhan, Yanhong & Peng, Yiqi & Cai, Weiyi, 2022. "Crude oil price and exchange rate: Evidence from the period before and after the launch of China's crude oil futures," Energy Economics, Elsevier, vol. 105(C).
    6. Wang, Xu & Zhu, Lei & Liu, Pengfei, 2021. "Manipulation via endowments: Quantifying the influence of market power on the emission trading scheme," Energy Economics, Elsevier, vol. 103(C).
    7. Xie, Minghua & Min, Jialin & Fang, Xingming & Sun, Chuanwang & Zhang, Zhen, 2022. "Policy selection based on China's natural gas security evaluation and comparison," Energy, Elsevier, vol. 247(C).
    8. Jin, Jingliang & Wen, Qinglan & Zhao, Liya & Zhou, Chaoyang & Guo, Xiaojun, 2023. "Measuring environmental performance of power dispatch influenced by low-carbon approaches," Renewable Energy, Elsevier, vol. 209(C), pages 325-339.
    9. Xie, Minghua & Wei, Xiaonan & Chen, Chuanglian & Sun, Chuanwang, 2022. "China's natural gas production peak and energy return on investment (EROI): From the perspective of energy security," Energy Policy, Elsevier, vol. 164(C).
    10. Xu, Zhongwen & Huang, Liqiao & Liao, Maolin & Xue, Jinjun & Yoshida, Yoshikuni & Long, Yin, 2022. "Quantifying consumption-based carbon emissions of major economic sectors in Japan considering the global value chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 330-341.
    11. Ning, Jiajun & Xiong, Lixin, 2024. "Analysis of the dynamic evolution process of the digital transformation of renewable energy enterprises based on the cooperative and evolutionary game model," Energy, Elsevier, vol. 288(C).
    12. Chen, Hao & Qi, Shaozhou & Zhang, Jihong, 2022. "Towards carbon neutrality with Chinese characteristics: From an integrated perspective of economic growth-equity-environment," Applied Energy, Elsevier, vol. 324(C).
    13. Dalai Ma & Yaping Xiao & Na Zhao, 2022. "Optimization and Spatiotemporal Differentiation of Carbon Emission Rights Allocation in the Power Industry in the Yangtze River Economic Belt," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    14. Pingzheng Tong & Xue Cui & Junlin Li & Xuehan Dang & Qiang Yu, 2024. "Evaluation of Spatial and Temporal Distribution of Carbon Emissions in Power Grid Based on Cloud Theory," Sustainability, MDPI, vol. 16(22), pages 1-23, November.
    15. Zhong, Xiaoqing & Zhong, Weifeng & Liu, Yi & Yang, Chao & Xie, Shengli, 2023. "A communication-efficient coalition graph game-based framework for electricity and carbon trading in networked energy hubs," Applied Energy, Elsevier, vol. 329(C).
    16. Zheng, Baoning & Bao, Zhejing & Yang, Li, 2023. "Design and equilibrium analysis of integrated market of ISO-led carbon emissions, green certificates and electricity considering their interplay," Energy Economics, Elsevier, vol. 126(C).
    17. Zhang, Xinhua & Zhang, Qianqian & Dai, Zhifeng & Zhang, Xiaotong, 2023. "The impact of carbon markets on the financial performance of power producers: Evidence based on China," Energy Economics, Elsevier, vol. 127(PA).

    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. Mei, Tianhua & Liu, Jie & Guo, Jianming & Siano, Pierluigi & Jin, Xuanxuan, 2022. "Allocation of emission allowances considering strategic voting," Energy Economics, Elsevier, vol. 114(C).
    2. Cheng, Chuntian & Chen, Fu & Li, Gang & Ristić, Bora & Mirchi, Ali & Qiyu, Tu & Madani, Kaveh, 2018. "Reform and renewables in China: The architecture of Yunnan's hydropower dominated electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 682-693.
    3. 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.
    4. Wu, Yinyin & Wang, Ping & Liu, Xin & Chen, Jiandong & Song, Malin, 2020. "Analysis of regional carbon allocation and carbon trading based on net primary productivity in China," China Economic Review, Elsevier, vol. 60(C).
    5. Li, Jia Shuo & Zhou, H.W. & Meng, Jing & Yang, Q. & Chen, B. & Zhang, Y.Y., 2018. "Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city," Applied Energy, Elsevier, vol. 226(C), pages 1076-1086.
    6. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    7. Francesco Ciardiello & Andrea Genovese & Andrew Simpson, 2020. "A unified cooperative model for environmental costs in supply chains: the Shapley value for the linear case," Annals of Operations Research, Springer, vol. 290(1), pages 421-437, July.
    8. Xu, Xueliu & Wang, Qian & Ran, Chenyang & Mu, Mingjie, 2021. "Is burden responsibility more effective? A value-added method for tracing worldwide carbon emissions," Ecological Economics, Elsevier, vol. 181(C).
    9. Zhaohua, Wang & Jingyun, Li & Bin, Lu & Bo, Wang & Bin, Zhang & Kaining, Sun & Mao, Fan, 2023. "Effectiveness and risk of initial carbon quota allocation principle under the uncertainty of the Chinese electricity market," China Economic Review, Elsevier, vol. 77(C).
    10. Wang, Junfeng & He, Shutong & Qiu, Ye & Liu, Nan & Li, Yongjian & Dong, Zhanfeng, 2018. "Investigating driving forces of aggregate carbon intensity of electricity generation in China," Energy Policy, Elsevier, vol. 113(C), pages 249-257.
    11. Boya Zhang & Shukuan Bai & Yadong Ning & Tao Ding & Yan Zhang, 2020. "Emission Embodied in International Trade and Its Responsibility from the Perspective of Global Value Chain: Progress, Trends, and Challenges," Sustainability, MDPI, vol. 12(8), pages 1-26, April.
    12. 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.
    13. Li, Mingquan & Patiño-Echeverri, Dalia & Zhang, Junfeng (Jim), 2019. "Policies to promote energy efficiency and air emissions reductions in China's electric power generation sector during the 11th and 12th five-year plan periods: Achievements, remaining challenges, and ," Energy Policy, Elsevier, vol. 125(C), pages 429-444.
    14. Cao, Jing & Ho, Mun S. & Ma, Rong & Zhang, Yu, 2024. "Transition from plan to market: Imperfect regulations in the electricity sector of China," Journal of Comparative Economics, Elsevier, vol. 52(2), pages 509-533.
    15. Chen, Hao & Geng, Hao-Peng & Ling, Hui-Ting & Peng, Song & Li, Nan & Yu, Shiwei & Wei, Yi-Ming, 2020. "Modeling the coal-to-gas switch potentials in the power sector: A case study of China," Energy, Elsevier, vol. 192(C).
    16. Ciardiello, F. & Genovese, A. & Simpson, A., 2019. "Pollution responsibility allocation in supply networks: A game-theoretic approach and a case study," International Journal of Production Economics, Elsevier, vol. 217(C), pages 211-217.
    17. Zhang, Youguo, 2015. "Provincial responsibility for carbon emissions in China under different principles," Energy Policy, Elsevier, vol. 86(C), pages 142-153.
    18. Cadarso, María-Ángeles & López, Luis-Antonio & Gómez, Nuria & Tobarra, María-Ángeles, 2012. "International trade and shared environmental responsibility by sector. An application to the Spanish economy," Ecological Economics, Elsevier, vol. 83(C), pages 221-235.
    19. 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).
    20. Chen, G. & Chen, B. & Zhou, H. & Dai, P., 2013. "Life cycle carbon emission flow analysis for electricity supply system: A case study of China," Energy Policy, Elsevier, vol. 61(C), pages 1276-1284.

    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:92:y:2020:i:c:s0140988320303005. 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.