Measurement of green transition and its driving factors: Evidence from China

Zhai, X; An, Y; Shi, X; Liu, X

Measurement of green transition and its driving factors: Evidence from China

Zhai, X An, Y Shi, X

Liu, X

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Publisher:: ELSEVIER SCI LTD
Publication Type:: Journal Article
Citation:: Journal of Cleaner Production, 2022, 335
Issue Date:: 2022-02-10

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Field	Value	Language
dc.contributor.author	Zhai, X
dc.contributor.author	An, Y
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Liu, X
dc.date.accessioned	2022-11-01T21:47:22Z
dc.date.available	2022-11-01T21:47:22Z
dc.date.issued	2022-02-10
dc.identifier.citation	Journal of Cleaner Production, 2022, 335
dc.identifier.issn	0959-6526
dc.identifier.issn	1879-1786
dc.identifier.uri	http://hdl.handle.net/10453/163116
dc.description.abstract	Achieving a high-quality green transition has become an important way toward sustainable development in the world. In this study, we propose a measuring framework of green transition based on the entropy weight method. Then the driving factors of green transition are analyzed with a spatial Durbin model. Taking China as an empirical case study, the results showed that: (1) the overall level of green transition in China increased, but the green transition index (GTI) remained low. The GTIs' means and growths of the eastern region exceeded those of both the central region and the western region. Moreover, the GTIs in 30 provinces were significant gaps. (2) China's GTIs showed a significant positive spatial dependence. Furthermore, the driving factors of reform and openness, investing capacity, government intervention, and environmental regulation positively impacted the green transition development; however, the industrial structure had a negative impact. (3) Reform and openness, as well as environmental regulation, exerted positive spillover effects on other provinces, while investing capacity and government intervention exerted negative spillover effects. Moreover, the spillover effect of the industrial structure was not significant. Relevant recommendations for green transition development are proposed.
dc.language	English
dc.publisher	ELSEVIER SCI LTD
dc.relation	National Natural Science Foundation of China71828401
dc.relation.ispartof	Journal of Cleaner Production
dc.relation.isbasedon	10.1016/j.jclepro.2021.130292
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0907 Environmental Engineering, 0910 Manufacturing Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Environmental Sciences
dc.title	Measurement of green transition and its driving factors: Evidence from China
dc.type	Journal Article
utslib.citation.volume	335
utslib.for	0907 Environmental Engineering
utslib.for	0910 Manufacturing Engineering
utslib.for	0915 Interdisciplinary Engineering
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	2024-02-01T00:00:00+1000Z
dc.date.updated	2022-11-01T21:47:21Z
pubs.publication-status	Published
pubs.volume	335

Abstract:

Achieving a high-quality green transition has become an important way toward sustainable development in the world. In this study, we propose a measuring framework of green transition based on the entropy weight method. Then the driving factors of green transition are analyzed with a spatial Durbin model. Taking China as an empirical case study, the results showed that: (1) the overall level of green transition in China increased, but the green transition index (GTI) remained low. The GTIs' means and growths of the eastern region exceeded those of both the central region and the western region. Moreover, the GTIs in 30 provinces were significant gaps. (2) China's GTIs showed a significant positive spatial dependence. Furthermore, the driving factors of reform and openness, investing capacity, government intervention, and environmental regulation positively impacted the green transition development; however, the industrial structure had a negative impact. (3) Reform and openness, as well as environmental regulation, exerted positive spillover effects on other provinces, while investing capacity and government intervention exerted negative spillover effects. Moreover, the spillover effect of the industrial structure was not significant. Relevant recommendations for green transition development are proposed.

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http://hdl.handle.net/10453/163116