IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v286y2024ics0360544223029092.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544223029092
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.energy.2023.129515?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. 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.
    2. 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).
    3. 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.
    4. 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).
    5. Song, Feng & Bi, De & Wei, Chu, 2019. "Market segmentation and wind curtailment: An empirical analysis," Energy Policy, Elsevier, vol. 132(C), pages 831-838.
    6. 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).
    7. 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.
    8. 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).
    9. 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.
    10. 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).
    11. 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).
    12. 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).
    13. Wang, Qian & Zhu, Linke, 2021. "Environmental regulation, firm heterogeneity, and intra-industry reallocation," China Economic Review, Elsevier, vol. 68(C).
    14. 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).
    15. 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).
    16. 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.
    17. 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.
    18. 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).
    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. 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.
    21. 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).
    22. 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.
    23. 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).
    24. 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.
    25. 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).
    26. Sadorsky, Perry, 2009. "Renewable energy consumption and income in emerging economies," Energy Policy, Elsevier, vol. 37(10), pages 4021-4028, October.
    27. 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).
    28. Lai, Aolin & Wang, Qunwei & Cui, Lianbiao, 2022. "Can market segmentation lead to green paradox? Evidence from China," Energy, Elsevier, vol. 254(PC).
    29. 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).
    30. 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).
    31. 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.
    32. 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).
    33. 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).
    34. 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).
    35. 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.
    36. 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).
    37. 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).
    38. 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.
    39. 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).
    40. 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.
    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. Kuang, Yucen & Xie, Wenhao & Wu, Hongyan & Liu, Xiaoqian & Sher, Farooq & Qiu, Shuxing & Dang, Jie & Zhang, Shengfu, 2024. "Molecular structure of coal macerals and thermal response behavior of their chemical bonds obtained by structural characterizations and molecular dynamics simulations," Energy, Elsevier, vol. 301(C).
    2. Florentina Paraschiv & Hannah Schmid & Marten Schmitz & Vivian Dünwald & Emma Groos, 2024. "The Interplay Between China’s Regulated and Voluntary Carbon Markets and Its Influence on Renewable Energy Development—A Literature Review," Energies, MDPI, vol. 17(22), pages 1-23, November.
    3. Zhou, Fangkezi & Pan, Yinghao & Wu, Jie & Xu, Chengzhen & Li, Xingchen, 2024. "The impact of green finance on renewable energy development efficiency in the context of energy security: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 803-816.

    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. Hu, Xing & Guo, Yingying & Zheng, Yali & Liu, Lan-cui & Yu, Shiwei, 2022. "Which types of policies better promote the development of renewable energy? Evidence from China's provincial data," Renewable Energy, Elsevier, vol. 198(C), pages 1373-1382.
    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).
    3. Lai, Aolin & Li, Zhenran & Hu, Xiurong & Wang, Qunwei, 2024. "Does digital economy improve city-level eco-efficiency in China?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1198-1213.
    4. Rabie Said & Muhammad Ishaq Bhatti & Ahmed Imran Hunjra, 2022. "Toward Understanding Renewable Energy and Sustainable Development in Developing and Developed Economies: A Review," Energies, MDPI, vol. 15(15), pages 1-12, July.
    5. Qiao, Qiao & Zeng, Xianhai & Lin, Boqiang, 2024. "Mitigating wind curtailment risk in China: The impact of subsidy reduction policy," Applied Energy, Elsevier, vol. 368(C).
    6. Zhou, Fangkezi & Pan, Yinghao & Wu, Jie & Xu, Chengzhen & Li, Xingchen, 2024. "The impact of green finance on renewable energy development efficiency in the context of energy security: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 803-816.
    7. Xiao Zhang & Di Wang, 2023. "Beyond the Ecological Boundary: A Quasi-Natural Experiment on the Impact of National Marine Parks on Eco-Efficiency in Coastal Cities," Sustainability, MDPI, vol. 15(20), pages 1-19, October.
    8. Honma, Satoshi, 2012. "Environmental and economic efficiencies in the Asia-Pacific region," MPRA Paper 43361, University Library of Munich, Germany.
    9. Ruijing Zheng & Yu Cheng & Haimeng Liu & Wei Chen & Xiaodong Chen & Yaping Wang, 2022. "The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation," IJERPH, MDPI, vol. 19(15), pages 1-22, July.
    10. Riza Radmehr & Samira Shayanmehr & Ernest Baba Ali & Elvis Kwame Ofori & Elżbieta Jasińska & Michał Jasiński, 2022. "Exploring the Nexus of Renewable Energy, Ecological Footprint, and Economic Growth through Globalization and Human Capital in G7 Economics," Sustainability, MDPI, vol. 14(19), pages 1-19, September.
    11. Senhua Huang & Lingming Chen, 2023. "The Impact of the Digital Economy on the Urban Total-Factor Energy Efficiency: Evidence from 275 Cities in China," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    12. Mousavi, Mohammad M. & Ouenniche, Jamal & Xu, Bing, 2015. "Performance evaluation of bankruptcy prediction models: An orientation-free super-efficiency DEA-based framework," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 64-75.
    13. Fan Wang & Lili Feng & Jin Li & Lin Wang, 2020. "Environmental Regulation, Tenure Length of Officials, and Green Innovation of Enterprises," IJERPH, MDPI, vol. 17(7), pages 1-16, March.
    14. Wang, Weilong & Wang, Jianlong & Wu, Haitao, 2024. "The impact of energy-consuming rights trading on green total factor productivity in the context of digital economy: Evidence from listed firms in China," Energy Economics, Elsevier, vol. 131(C).
    15. Khan, Yasir & Hassan, Taimoor & Guiqin, Huang & Nabi, Ghulam, 2023. "Analyzing the impact of natural resources and rule of law on sustainable environment: A proposed policy framework for BRICS economies," Resources Policy, Elsevier, vol. 86(PA).
    16. Chia-Nan Wang & Jen-Der Day & Nguyen Thi Kim Lien & Luu Quoc Chien, 2018. "Integrating the Additive Seasonal Model and Super-SBM Model to Compute the Efficiency of Port Logistics Companies in Vietnam," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    17. Josef Jablonsky, 2022. "Individual and team efficiency: a case of the National Hockey League," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 479-494, June.
    18. Vicente J. Bolós & Rafael Benítez & Vicente Coll-Serrano, 2023. "Continuous models combining slacks-based measures of efficiency and super-efficiency," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(2), pages 363-391, June.
    19. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.
    20. Guo, I-Lung & Lee, Hsuan-Shih & Lee, Dan, 2017. "An integrated model for slack-based measure of super-efficiency in additive DEA," Omega, Elsevier, vol. 67(C), pages 160-167.

    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:energy:v:286:y:2024:i:c:s0360544223029092. 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.journals.elsevier.com/energy .

    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.