Multi-region and multi-sector comparisons and analysis of industrial carbon productivity in China

Yang, H; Lu, Z; Shi, X; Mensah, IA; Luo, Y; Chen, W

Multi-region and multi-sector comparisons and analysis of industrial carbon productivity in China

Yang, H Lu, Z Shi, X

Mensah, IA Luo, Y Chen, W

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Journal of Cleaner Production, 2021, 279, pp. 123623-123623
Issue Date:: 2021-01-10

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Field	Value	Language
dc.contributor.author	Yang, H
dc.contributor.author	Lu, Z
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Mensah, IA
dc.contributor.author	Luo, Y
dc.contributor.author	Chen, W
dc.date.accessioned	2020-11-14T20:12:24Z
dc.date.available	2020-11-14T20:12:24Z
dc.date.issued	2021-01-10
dc.identifier.citation	Journal of Cleaner Production, 2021, 279, pp. 123623-123623
dc.identifier.issn	0959-6526
dc.identifier.uri	http://hdl.handle.net/10453/144011
dc.description.abstract	© 2020 Elsevier Ltd In the context of global warming, increasing carbon productivity is an important way to balance environmental goals with economic growth and development. In this study, we measure the provincial industrial carbon productivity (ICP) in China. Employing spatial production-theoretical decomposition analysis and data from the industrial sector in each province of China, we investigate the regional disparities in ICP and the driving factors at the provincial and sectoral levels. The results indicate that the ICP discrepancies across different regions are obvious: the eastern region had the highest ICP, followed by the northeastern, central, and western regions. The capital-energy substitution effect and CO2 emission performance were two principal contributors to increasing the regional disparities for most provinces. By contrast, the labor-energy substitution effect and energy consumption structure remained relatively backward and resulted in lower ICP than the average level in most provinces. Furthermore, 12 key industrial subsectors, including electricity generation sector, five energy-intensive manufacturing sectors and six nonenergy intensive manufacturing sectors, in 13 provinces (including Hebei, Liaoning, Heilongjiang, Anhui, and all the other western provinces) were identified as the main drivers of the lower than average ICP in these 13 provinces. For the12 industrial sectors in the 13 provinces, industrial structure, and CO2 emission performance were the main causes of their backward carbon productivity. Based on the findings of this study, several relevant suggestions for policymakers are provided.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Journal of Cleaner Production
dc.relation.hasversion	Accepted Manuscript Version	en
dc.relation.isbasedon	10.1016/j.jclepro.2020.123623
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	Multi-region and multi-sector comparisons and analysis of industrial carbon productivity in China
dc.type	Journal Article
utslib.citation.volume	279
utslib.for	0907 Environmental Engineering
utslib.for	0910 Manufacturing Engineering
utslib.for	0915 Interdisciplinary Engineering
pubs.organisational-group	/University of Technology Sydney/DVC (International)
pubs.organisational-group	/University of Technology Sydney/DVC (International)/Australia-China Relations Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-08-19T00:00:00+1000Z
dc.date.updated	2020-11-14T20:12:18Z
pubs.publication-status	Accepted
pubs.volume	279

Abstract:

© 2020 Elsevier Ltd In the context of global warming, increasing carbon productivity is an important way to balance environmental goals with economic growth and development. In this study, we measure the provincial industrial carbon productivity (ICP) in China. Employing spatial production-theoretical decomposition analysis and data from the industrial sector in each province of China, we investigate the regional disparities in ICP and the driving factors at the provincial and sectoral levels. The results indicate that the ICP discrepancies across different regions are obvious: the eastern region had the highest ICP, followed by the northeastern, central, and western regions. The capital-energy substitution effect and CO2 emission performance were two principal contributors to increasing the regional disparities for most provinces. By contrast, the labor-energy substitution effect and energy consumption structure remained relatively backward and resulted in lower ICP than the average level in most provinces. Furthermore, 12 key industrial subsectors, including electricity generation sector, five energy-intensive manufacturing sectors and six nonenergy intensive manufacturing sectors, in 13 provinces (including Hebei, Liaoning, Heilongjiang, Anhui, and all the other western provinces) were identified as the main drivers of the lower than average ICP in these 13 provinces. For the12 industrial sectors in the 13 provinces, industrial structure, and CO2 emission performance were the main causes of their backward carbon productivity. Based on the findings of this study, several relevant suggestions for policymakers are provided.

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http://hdl.handle.net/10453/144011