Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design

Wang, Y; Wang, D; Shi, X

Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design

Wang, Y Wang, D Shi, X

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Resources Policy, 2022, 75
Issue Date:: 2022-03-01

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Field	Value	Language
dc.contributor.author	Wang, Y
dc.contributor.author	Wang, D
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.date.accessioned	2023-01-27T02:07:54Z
dc.date.available	2023-01-27T02:07:54Z
dc.date.issued	2022-03-01
dc.identifier.citation	Resources Policy, 2022, 75
dc.identifier.issn	0301-4207
dc.identifier.issn	1873-7641
dc.identifier.uri	http://hdl.handle.net/10453/165511
dc.description.abstract	Coal phase-out is a key step for China to achieve carbon peak and carbon neutrality. The Chinese government introduced a coal de-capacity policy (CDP) in 2016. However, existing studies rarely discuss the effectiveness of China's implementation of the CDP, especially regarding the policy goal of “improving quality and increasing efficiency.” In this context, this study quantitatively evaluates the multidimensional effects of China's CDP in terms of economic efficiency, green production, and employee welfare using a sharp regression discontinuity design. Moreover, the spatial heterogeneity of policy effects is discussed through subsample analyses. The empirical results are as follows. First, the expected goal of the Chinese CDP has not been fully achieved. Although the CDP has achieved a significantly positive economic effect, the effectiveness of environmental benefits and social welfare remains far from ideal. Second, there is a statistically significant spatial heterogeneity in the CDP's multidimensional effects in different regions. Policy guidelines are proposed in line with the findings to support the adjustment and optimization of de-capacity policy measures for coal and other similar industries. This study thoroughly highlights the economic, environmental, and social effects of the CDP's implementation in China in 2016 and provides a periodical summary and assessment of policy effectiveness. Specifically, the findings provide valuable insights for designing coal de-capacity targets and plans for specific regions, which may help ensure better policy efficiency and feasibility in future coal capacity regulations.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation	National Natural Science Foundation of China71828401
dc.relation.ispartof	Resources Policy
dc.relation.isbasedon	10.1016/j.resourpol.2021.102504
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0914 Resources Engineering and Extractive Metallurgy, 1605 Policy and Administration
dc.subject.classification	Environmental Sciences
dc.title	Exploring the multidimensional effects of China's coal de-capacity policy: A regression discontinuity design
dc.type	Journal Article
utslib.citation.volume	75
utslib.for	0914 Resources Engineering and Extractive Metallurgy
utslib.for	1605 Policy and Administration
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/DVC (International)/Australia-China Relations Institute
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-03-01T00:00:00+1000Z
dc.date.updated	2023-01-27T02:07:52Z
pubs.publication-status	Published
pubs.volume	75

Abstract:

Coal phase-out is a key step for China to achieve carbon peak and carbon neutrality. The Chinese government introduced a coal de-capacity policy (CDP) in 2016. However, existing studies rarely discuss the effectiveness of China's implementation of the CDP, especially regarding the policy goal of “improving quality and increasing efficiency.” In this context, this study quantitatively evaluates the multidimensional effects of China's CDP in terms of economic efficiency, green production, and employee welfare using a sharp regression discontinuity design. Moreover, the spatial heterogeneity of policy effects is discussed through subsample analyses. The empirical results are as follows. First, the expected goal of the Chinese CDP has not been fully achieved. Although the CDP has achieved a significantly positive economic effect, the effectiveness of environmental benefits and social welfare remains far from ideal. Second, there is a statistically significant spatial heterogeneity in the CDP's multidimensional effects in different regions. Policy guidelines are proposed in line with the findings to support the adjustment and optimization of de-capacity policy measures for coal and other similar industries. This study thoroughly highlights the economic, environmental, and social effects of the CDP's implementation in China in 2016 and provides a periodical summary and assessment of policy effectiveness. Specifically, the findings provide valuable insights for designing coal de-capacity targets and plans for specific regions, which may help ensure better policy efficiency and feasibility in future coal capacity regulations.

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http://hdl.handle.net/10453/165511