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How coal de-capacity policy affects renewable energy development efficiency? Evidence from China

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  • Lai, Aolin
  • Wang, Qunwei

Abstract

Developing renewable energy (RE) is crucial for achieving the goals of carbon peaking and carbon neutrality. However, the effectiveness of China's 2016 coal production reduction policy in encouraging RE development remains uncertain. To address this question, this study applies a novel approach, called the global reference modified slacks-based measure (Global-MSBM) model, to assess the renewable energy development efficiency (REDE), and applies the difference-in-differences (DID) method to examine the impact of the de-capacity policy on REDE. This study also investigates the mechanisms driving the policy's impact and the associated heterogeneity. The findings indicate the following. (1) Implementing the de-capacity policy significantly enhances REDE, and its impact becomes greater over time. (2) The policy encourages REDE by advancing renewable energy technology and enhancing marketization. (3) The heterogeneity analysis indicates that the de-capacity policy has a higher effect on REDE regions with stricter environmental regulations. This study reliably assesses the effectiveness of the de-capacity policy and provides valuable insights to enhance China's energy policy system.

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  • Lai, Aolin & Wang, Qunwei, 2024. "How coal de-capacity policy affects renewable energy development efficiency? Evidence from China," Energy, Elsevier, vol. 286(C).
    • Handle: RePEc:eee:energy:v:286:y:2024:i:c:s0360544223029092
    DOI: 10.1016/j.energy.2023.129515
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    as
    1. Zhao, Xin & Mahendru, Mandeep & Ma, Xiaowei & Rao, Amar & Shang, Yuping, 2022. "Impacts of environmental regulations on green economic growth in China: New guidelines regarding renewable energy and energy efficiency," Renewable Energy, Elsevier, vol. 187(C), pages 728-742.
    2. Shinwari, Riazullah & Yangjie, Wang & Payab, Ahmad Haseeb & Kubiczek, Jakub & Dördüncü, Hazar, 2022. "What drives investment in renewable energy resources? Evaluating the role of natural resources volatility and economic performance for China," Resources Policy, Elsevier, vol. 77(C).
    3. Ronald Wall & Stelios Grafakos & Alberto Gianoli & Spyridon Stavropoulos, 2019. "Which policy instruments attract foreign direct investments in renewable energy?," Climate Policy, Taylor & Francis Journals, vol. 19(1), pages 59-72, January.
    4. Yan, Xiang & Bai, Jiancheng & Zhang, Yueyan & Hu, Shiliang, 2022. "Can the ecological environment reverse feed renewable energy technology innovation? -- Heterogeneity test from the Yangtze River Economic Belt," Renewable Energy, Elsevier, vol. 195(C), pages 1381-1392.
    5. Zhang, Zixuan & Chen, Huaichao, 2022. "Dynamic interaction of renewable energy technological innovation, environmental regulation intensity and carbon pressure: Evidence from China," Renewable Energy, Elsevier, vol. 192(C), pages 420-430.
    6. Tang, Chang & Xue, Yan & Wu, Haitao & Irfan, Muhammad & Hao, Yu, 2022. "How does telecommunications infrastructure affect eco-efficiency? Evidence from a quasi-natural experiment in China," Technology in Society, Elsevier, vol. 69(C).
    7. 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).
    8. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    9. Bersalli, Germán & Menanteau, Philippe & El-Methni, Jonathan, 2020. "Renewable energy policy effectiveness: A panel data analysis across Europe and Latin America," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    10. Shahbaz, Muhammad & Wang, Jianda & Dong, Kangyin & Zhao, Jun, 2022. "The impact of digital economy on energy transition across the globe: The mediating role of government governance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 166(C).
    11. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    12. Sharma, Anjali & Banerjee, Rangan, 2021. "Framework to analyze the spatial distribution of the labor impacts of clean energy transitions," Energy Policy, Elsevier, vol. 150(C).
    13. Nasirov, Shahriyar & Girard, Aymeric & Peña, Cristobal & Salazar, Felipe & Simon, François, 2021. "Expansion of renewable energy in Chile: Analysis of the effects on employment," Energy, Elsevier, vol. 226(C).
    14. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    15. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    16. Song, Feng & Bi, De & Wei, Chu, 2019. "Market segmentation and wind curtailment: An empirical analysis," Energy Policy, Elsevier, vol. 132(C), pages 831-838.
    17. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    18. Wang, Xiaofei & Liu, Chuangeng & Chen, Shaojie & Chen, Lei & Li, Ke & Liu, Na, 2020. "Impact of coal sector’s de-capacity policy on coal price," Applied Energy, Elsevier, vol. 265(C).
    19. Wang, Qiang & Dong, Zequn & Li, Rongrong & Wang, Lili, 2022. "Renewable energy and economic growth: New insight from country risks," Energy, Elsevier, vol. 238(PC).
    20. Lai, Aolin & Wang, Qunwei & Cui, Lianbiao, 2022. "Can market segmentation lead to green paradox? Evidence from China," Energy, Elsevier, vol. 254(PC).
    21. Liu, Wenfeng & Zhang, Xingping & Feng, Sida, 2019. "Does renewable energy policy work? Evidence from a panel data analysis," Renewable Energy, Elsevier, vol. 135(C), pages 635-642.
    22. Zhang, Chenxi & Zhou, Dequn & Wang, Qunwei & Ding, Hao & Zhao, Siqi, 2022. "Will fiscal decentralization stimulate renewable energy development? Evidence from China," Energy Policy, Elsevier, vol. 164(C).
    23. Hille, Erik & Althammer, Wilhelm & Diederich, Henning, 2020. "Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    24. Zheng, Shuhong & Yang, Juan & Yu, Shiwei, 2021. "How renewable energy technological innovation promotes renewable power generation: Evidence from China's provincial panel data," Renewable Energy, Elsevier, vol. 177(C), pages 1394-1407.
    25. Xia, Fang & Lu, Xi & Song, Feng, 2020. "The role of feed-in tariff in the curtailment of wind power in China," Energy Economics, Elsevier, vol. 86(C).
    26. Lianbiao Cui & Yi Sun & Malin Song & Lei Zhu, 2020. "Co-financing in the green climate fund: lessons from the global environment facility," Climate Policy, Taylor & Francis Journals, vol. 20(1), pages 95-108, January.
    27. Mohsen Afsharian & Heinz Ahn, 2015. "The overall Malmquist index: a new approach for measuring productivity changes over time," Annals of Operations Research, Springer, vol. 226(1), pages 1-27, March.
    28. Arvanitopoulos, T. & Agnolucci, P., 2020. "The long-term effect of renewable electricity on employment in the United Kingdom," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    29. Dong, Changgui & Zhou, Runmin & Li, Jiaying, 2021. "Rushing for subsidies: The impact of feed-in tariffs on solar photovoltaic capacity development in China," Applied Energy, Elsevier, vol. 281(C).
    30. Mohd Chachuli, Fairuz Suzana & Ahmad Ludin, Norasikin & Md Jedi, Muhamad Alias & Hamid, Norul Hisham, 2021. "Transition of renewable energy policies in Malaysia: Benchmarking with data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    31. Yu, Chin-Hsien & Wu, Xiuqin & Lee, Wen-Chieh & Zhao, Jinsong, 2021. "Resource misallocation in the Chinese wind power industry: The role of feed-in tariff policy," Energy Economics, Elsevier, vol. 98(C).
    32. Wu, Xiuqin & Zhao, Jinsong & Zhang, Dayong & Lee, Wen-Chieh & Yu, Chin-Hsien, 2022. "Resource misallocation and the development of hydropower industry," Applied Energy, Elsevier, vol. 306(PA).
    33. Inglesi-Lotz, Roula, 2016. "The impact of renewable energy consumption to economic growth: A panel data application," Energy Economics, Elsevier, vol. 53(C), pages 58-63.
    34. Ding, Hao & Zhou, Dequn & Zhou, P., 2020. "Optimal policy supports for renewable energy technology development: A dynamic programming model," Energy Economics, Elsevier, vol. 92(C).
    35. Wang, Qunwei & Fan, Zining, 2023. "Green finance and investment behavior of renewable energy enterprises: A case study of China," International Review of Financial Analysis, Elsevier, vol. 87(C).
    36. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    37. Wang, Qian & Zhu, Linke, 2021. "Environmental regulation, firm heterogeneity, and intra-industry reallocation," China Economic Review, Elsevier, vol. 68(C).
    38. Yi, Ming & Liu, Yafen & Sheng, Mingyue Selena & Wen, Le, 2022. "Effects of digital economy on carbon emission reduction: New evidence from China," Energy Policy, Elsevier, vol. 171(C).
    39. Xu, Deyi & Sheraz, Muhammad & Hassan, Arshad & Sinha, Avik & Ullah, Saif, 2022. "Financial development, renewable energy and CO2 emission in G7 countries: New evidence from non-linear and asymmetric analysis," Energy Economics, Elsevier, vol. 109(C).
    40. 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).
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