IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v80y2023ics030142072200575x.html
   My bibliography  Save this article

Study on policy synergy strategy of the central government and local governments in the process of coal de-capacity: Based on a two-stage evolutionary game method

Author

Listed:
  • Liu, Dandan
  • Wang, Delu
  • Mao, Jinqi

Abstract

In recent years, the Chinese government has intensively introduced a series of measures to solve the problem of overcapacity in the coal industry, but the effect is not ideal. Policy synergy between the central government (CG) and local governments (LGs) can effectively reduce overcapacity and promote energy transition. Based on China's fragmented administrative management system and public policy process attributes, this study investigates the CG-LGs’ policy synergy strategy choice and influencing factors in the process of coal de-capacity in China using a two-stage evolutionary game model. The results show that: first, in the policy formulation stage, reducing policy formulation costs and increasing public credit losses can prompt the CG to consider provincial heterogeneity, while reducing policy formulation costs and increasing political gains and administrative penalties can prompt LGs to actively negotiate with the CG to develop policies. Second, in the policy implementation stage, the positive net income of LGs can result in an ideal situation (i.e., the CG chooses the loose supervision strategy, but LGs still adopt the strict enforcement strategy). Reducing implementation costs, enhancing environmental quality, and establishing reasonable reward and punishment mechanisms prompt LGs to implement a de-capacity policy. Third, the CG's strategic choice in the policy formulation stage impacts the evolution of the strategies of the two subjects in the policy implementation stage. The above results promote policy synergy between CG and LGs and provide insights for policymakers for designing an effective coal production capacity governance model.

Suggested Citation

  • Liu, Dandan & Wang, Delu & Mao, Jinqi, 2023. "Study on policy synergy strategy of the central government and local governments in the process of coal de-capacity: Based on a two-stage evolutionary game method," Resources Policy, Elsevier, vol. 80(C).
  • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s030142072200575x
    DOI: 10.1016/j.resourpol.2022.103132
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030142072200575X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2022.103132?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. Wang, Delu & Wan, Kaidi & Song, Xuefeng & Liu, Yun, 2019. "Provincial allocation of coal de-capacity targets in China in terms of cost, efficiency, and fairness," Energy Economics, Elsevier, vol. 78(C), pages 109-128.
    2. Daniel Friedman, 1998. "On economic applications of evolutionary game theory," Journal of Evolutionary Economics, Springer, vol. 8(1), pages 15-43.
    3. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    4. Francis Fukuyama, 2013. "What Is Governance?," Working Papers 314, Center for Global Development.
    5. Xuguang Hao & Mei Song & Yunan Feng & Wen Zhang, 2019. "De-Capacity Policy Effect on China’s Coal Industry," Energies, MDPI, vol. 12(12), pages 1-16, June.
    6. Wei Wu & Boqiang Lin, 2020. "Reducing Overcapacity in China’s Coal Industry: A Real Option Approach," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1073-1093, April.
    7. Wang, Delu & Wan, Kaidi & Song, Xuefeng, 2018. "Coal miners’ livelihood vulnerability to economic shock: Multi-criteria assessment and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 301-314.
    8. Wang, Delu & Liu, Yifei & Wang, Yadong & Shi, Xunpeng & Song, Xuefeng, 2020. "Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach," Energy Economics, Elsevier, vol. 87(C).
    9. Xiaoke Zhang, 2020. "The institutional structuring of innovation policy coordination: theory and evidence from East Asia," Policy Sciences, Springer;Society of Policy Sciences, vol. 53(1), pages 101-138, March.
    10. Zhu, Jun & Zhang, Linling, 2022. "Evolutionary game analysis of the implementation of fiscal policy in resource-based cities," Resources Policy, Elsevier, vol. 76(C).
    11. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    12. Yuan, Jiahai & Li, Peng & Wang, Yang & Liu, Qian & Shen, Xinyi & Zhang, Kai & Dong, Liansai, 2016. "Coal power overcapacity and investment bubble in China during 2015–2020," Energy Policy, Elsevier, vol. 97(C), pages 136-144.
    13. Xu, Li & Zhang, Qin & Shi, Xunpeng, 2019. "Stakeholders strategies in poverty alleviation and clean energy access: A case study of China's PV poverty alleviation program," Energy Policy, Elsevier, vol. 135(C).
    14. Tori, Risa & Tanimoto, Jun, 2022. "A study on prosocial behavior of wearing a mask and self-quarantining to prevent the spread of diseases underpinned by evolutionary game theory," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    15. Liu, Dandan & Wang, Delu, 2022. "Evaluation of the synergy degree of industrial de-capacity policies based on text mining: A case study of China's coal industry," Resources Policy, Elsevier, vol. 76(C).
    16. Zhang, You & Yuan, Zengwei & Margni, Manuele & Bulle, Cécile & Hua, Hui & Jiang, Songyan & Liu, Xuewei, 2019. "Intensive carbon dioxide emission of coal chemical industry in China," Applied Energy, Elsevier, vol. 236(C), pages 540-550.
    17. Shi, Xunpeng & Rioux, Bertrand & Galkin, Philipp, 2018. "Unintended consequences of China’s coal capacity cut policy," Energy Policy, Elsevier, vol. 113(C), pages 478-486.
    18. Zhang, Yanfang & Zhang, Ming & Liu, Yue & Nie, Rui, 2017. "Enterprise investment, local government intervention and coal overcapacity: The case of China," Energy Policy, Elsevier, vol. 101(C), pages 162-169.
    19. Miyaji, Kohei & Tanimoto, Jun, 2021. "A co-evolutionary model combined mixed-strategy and network adaptation by severing disassortative neighbors promotes cooperation in prisoner’s dilemma games," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    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. Shan, Haiyan & Pi, Wenjie, 2023. "Mitigating panic buying behavior in the epidemic: An evolutionary game perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    2. Hu, Xing & Yu, Shiwei & Fang, Xu & Ovaere, Marten, 2023. "Which combinations of renewable energy policies work better? Insights from policy text synergies in 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. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2022. "Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design," Resources Policy, Elsevier, vol. 75(C).
    2. Wang, Yadong & Wang, Delu & Shi, Xunpeng, 2021. "Exploring the dilemma of overcapacity governance in China's coal industry: A tripartite evolutionary game model," Resources Policy, Elsevier, vol. 71(C).
    3. Zhang, Weike & Meng, Jia & Tian, Xiaoli, 2020. "Does de-capacity policy enhance the total factor productivity of China's coal companies? A Regression Discontinuity design," Resources Policy, Elsevier, vol. 68(C).
    4. Wang, Xiaofei & Miao, Chenglin & Wang, Chongmei & Yin, Dawei & Chen, Shaojie & Chen, Lei & Li, Ke, 2022. "Coal production capacity allocation based on efficiency perspective—taking production mines in Shandong Province as an example," Energy Policy, Elsevier, vol. 171(C).
    5. Liu, Dandan & Wang, Delu, 2022. "Evaluation of the synergy degree of industrial de-capacity policies based on text mining: A case study of China's coal industry," Resources Policy, Elsevier, vol. 76(C).
    6. Yihao Tian & Lijin Ding & Bin Yang & Feng Peng, 2022. "The Effects of De-Capacity Policy on Steel and Coal Firms’ Profitability: Evidence from China’s Listed Companies," Energies, MDPI, vol. 15(12), pages 1-17, June.
    7. Wang, Delu & Liu, Yifei & Wang, Yadong & Shi, Xunpeng & Song, Xuefeng, 2020. "Allocation of coal de-capacity quota among provinces in China: A bi-level multi-objective combinatorial optimization approach," Energy Economics, Elsevier, vol. 87(C).
    8. Wang, Di & Shen, Ye & Zhao, Yueying & He, Wei & Liu, Xue & Qian, Xiangyan & Lv, Tao, 2020. "Integrated assessment and obstacle factor diagnosis of China's scientific coal production capacity based on the PSR sustainability framework," Resources Policy, Elsevier, vol. 68(C).
    9. Xuguang Hao & Mei Song & Yunan Feng & Wen Zhang, 2019. "De-Capacity Policy Effect on China’s Coal Industry," Energies, MDPI, vol. 12(12), pages 1-16, June.
    10. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    11. Li Ji & Tian Zeng, 2022. "Environmental “Fee-to-Tax” and Heavy Pollution Enterprises to De-Capacity," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    12. Yang, Qing & Zhang, Lei & Zou, Shaohui & Zhang, Jinsuo, 2020. "Intertemporal optimization of the coal production capacity in China in terms of uncertain demand, economy, environment, and energy security," Energy Policy, Elsevier, vol. 139(C).
    13. Jianming Xi & Hanran Wu & Bo Li & Jingyu Liu, 2020. "A Quantitative Analysis of the Optimal Energy Policy from the Perspective of China’s Supply-Side Reform," Sustainability, MDPI, vol. 12(12), pages 1-13, June.
    14. Ma, Gang & Li, Xu & Zheng, Jianping, 2020. "Efficiency and equity in regional coal de-capacity allocation in China: A multiple objective programming model based on Gini coefficient and Data Envelopment Analysis," Resources Policy, Elsevier, vol. 66(C).
    15. Chen, Zhenling & Zhang, Xiaoling & Ni, Guohua, 2020. "Decomposing capacity utilization under carbon dioxide emissions reduction constraints in data envelopment analysis: An application to Chinese regions," Energy Policy, Elsevier, vol. 139(C).
    16. Yao, Xilong & Wang, Hualing & Shao, Shuai & Li, Xiaoyu & Guo, Zhi, 2022. "“Booster” or “obstacle”: Can coal capacity cut policies moderate the resource curse effect? Evidence from Shanxi (China)," Resources Policy, Elsevier, vol. 75(C).
    17. Teng, Minmin & Lv, Kunfeng & Han, Chuanfeng & Liu, Pihui, 2023. "Trading behavior strategy of power plants and the grid under renewable portfolio standards in China: A tripartite evolutionary game analysis," Energy, Elsevier, vol. 284(C).
    18. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
    19. Zhang, Yanfang & Shi, Xunpeng & Qian, Xiangyan & Chen, Sai & Nie, Rui, 2021. "Macroeconomic effect of energy transition to carbon neutrality: Evidence from China's coal capacity cut policy," Energy Policy, Elsevier, vol. 155(C).
    20. Zhang, Yanfang & Nie, Rui & Shi, Xunpeng & Qian, Xiangyan & Wang, Ke, 2019. "Can energy-price regulations smooth price fluctuations? Evidence from China’s coal sector," Energy Policy, Elsevier, vol. 128(C), pages 125-135.

    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:jrpoli:v:80:y:2023:i:c:s030142072200575x. 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/inca/30467 .

    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.