Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: Evidence of a threshold effect from China

Li, Z; Shao, S; Shi, X; Sun, Y; Zhang, X

Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: Evidence of a threshold effect from China

Li, Z Shao, S Shi, X

Sun, Y Zhang, X

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Publication Type:: Journal Article
Citation:: Journal of Cleaner Production, 2019, 206 pp. 920 - 927
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Li, Z	en_US
dc.contributor.author	Shao, S	en_US
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395	en_US
dc.contributor.author	Sun, Y	en_US
dc.contributor.author	Zhang, X	en_US
dc.date.available	2021-01-01T18:07:43Z
dc.date.issued	2019-01-01	en_US
dc.identifier.citation	Journal of Cleaner Production, 2019, 206 pp. 920 - 927	en_US
dc.identifier.issn	0959-6526	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138744
dc.description.abstract	© 2018 Elsevier Ltd Natural resource endowment has a significant influence on manufacturing structure which in turn influences CO2 emissions. This paper investigates the effect of the rationalization and upgrading of manufacturing structure on carbon dioxide emissions in China, based on the perspective of natural resource dependence. The results of the STIRPAT model on provincial panel data of the manufacturing sector from 2003 to 2014 show that manufacturing structure rationalization and upgrading will help curb CO2 emissions, while such effects are restricted by a region's reliance on natural resources. The panel threshold model estimations further indicate that the greater the ratio of industrial output to GDP, the weaker the restricting effect of resource dependence on the emissions reduction of manufacturing structure. These findings reveal that the development strategies of manufacturing structural rationalization and upgrading that aim to reduce emissions depend on the level of a region's resource dependence and industrialization.	en_US
dc.relation.ispartof	Journal of Cleaner Production	en_US
dc.relation.isbasedon	10.1016/j.jclepro.2018.09.241	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Environmental Sciences	en_US
dc.title	Structural transformation of manufacturing, natural resource dependence, and carbon emissions reduction: Evidence of a threshold effect from China	en_US
dc.type	Journal Article
utslib.citation.volume	206	en_US
utslib.for	0502 Environmental Science and Management	en_US
utslib.for	0910 Manufacturing Engineering	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
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	*
pubs.publication-status	Published	en_US
pubs.volume	206	en_US

Abstract:

© 2018 Elsevier Ltd Natural resource endowment has a significant influence on manufacturing structure which in turn influences CO2 emissions. This paper investigates the effect of the rationalization and upgrading of manufacturing structure on carbon dioxide emissions in China, based on the perspective of natural resource dependence. The results of the STIRPAT model on provincial panel data of the manufacturing sector from 2003 to 2014 show that manufacturing structure rationalization and upgrading will help curb CO2 emissions, while such effects are restricted by a region's reliance on natural resources. The panel threshold model estimations further indicate that the greater the ratio of industrial output to GDP, the weaker the restricting effect of resource dependence on the emissions reduction of manufacturing structure. These findings reveal that the development strategies of manufacturing structural rationalization and upgrading that aim to reduce emissions depend on the level of a region's resource dependence and industrialization.

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http://hdl.handle.net/10453/138744