Convergence of carbon emissions at the household level in China: A distribution dynamics approach

Zhang, H; Shi, X; Cheong, TS; Wang, K

Convergence of carbon emissions at the household level in China: A distribution dynamics approach

Zhang, H Shi, X

Cheong, TS Wang, K

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Energy Economics, 2020, 92, pp. 104956-104956
Issue Date:: 2020-10-01

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Field	Value	Language
dc.contributor.author	Zhang, H
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Cheong, TS
dc.contributor.author	Wang, K
dc.date.accessioned	2020-11-14T20:04:17Z
dc.date.available	2020-11-14T20:04:17Z
dc.date.issued	2020-10-01
dc.identifier.citation	Energy Economics, 2020, 92, pp. 104956-104956
dc.identifier.issn	0140-9883
dc.identifier.uri	http://hdl.handle.net/10453/144009
dc.description.abstract	© 2020 Elsevier B.V. Since household carbon emissions (HCEs) have become a new growing source and a significant contributor to global emissions, the reduction of HCEs is crucial. To formulate targeted and effective emission mitigation policies, we need to fully understand the characteristics of the distribution and evolution of per capita HCEs and their urban-rural and regional heterogeneity. This paper explores the transitional dynamics of per capita HCEs in China by employing the distribution dynamics approach with panel data compiled at the household level. We find that the overall per capita HCEs are unimodal distribution in the long run and the distribution dynamics of the per capita HCEs between the urban and rural areas or among the regional subgroups are quite different. However, the speed of convergence has accelerated over time. Moreover, our findings indicate that the per capita HCEs in the urban areas will achieve convergence to an emission level much higher than that of the rural areas. Meantime the per capita HCEs in Northeast China will converge to an emission level much higher than those of the other three regions. These findings provide valuable insights for policymakers in implementing differentiated environmental policies for different regions and between urban and rural households in China.
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Energy Economics
dc.relation.isbasedon	10.1016/j.eneco.2020.104956
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0906 Electrical and Electronic Engineering, 0913 Mechanical Engineering, 1402 Applied Economics
dc.subject.classification	Energy
dc.title	Convergence of carbon emissions at the household level in China: A distribution dynamics approach
dc.type	Journal Article
utslib.citation.volume	92
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	1402 Applied Economics
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	2022-10-01T00:00:00+1000Z
dc.date.updated	2020-11-14T20:04:13Z
pubs.publication-status	Published
pubs.volume	92

Abstract:

© 2020 Elsevier B.V. Since household carbon emissions (HCEs) have become a new growing source and a significant contributor to global emissions, the reduction of HCEs is crucial. To formulate targeted and effective emission mitigation policies, we need to fully understand the characteristics of the distribution and evolution of per capita HCEs and their urban-rural and regional heterogeneity. This paper explores the transitional dynamics of per capita HCEs in China by employing the distribution dynamics approach with panel data compiled at the household level. We find that the overall per capita HCEs are unimodal distribution in the long run and the distribution dynamics of the per capita HCEs between the urban and rural areas or among the regional subgroups are quite different. However, the speed of convergence has accelerated over time. Moreover, our findings indicate that the per capita HCEs in the urban areas will achieve convergence to an emission level much higher than that of the rural areas. Meantime the per capita HCEs in Northeast China will converge to an emission level much higher than those of the other three regions. These findings provide valuable insights for policymakers in implementing differentiated environmental policies for different regions and between urban and rural households in China.

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http://hdl.handle.net/10453/144009