Household carbon footprints inequality in China: Drivers, components and dynamics

Wang, K; Cui, Y; Zhang, H; Shi, X; Xue, J; Yuan, Z

Household carbon footprints inequality in China: Drivers, components and dynamics

Wang, K Cui, Y Zhang, H Shi, X

Xue, J Yuan, Z

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Publisher:: ELSEVIER
Publication Type:: Journal Article
Citation:: Energy Economics, 2022, 115
Issue Date:: 2022-11-01

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Field	Value	Language
dc.contributor.author	Wang, K
dc.contributor.author	Cui, Y
dc.contributor.author	Zhang, H
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Xue, J
dc.contributor.author	Yuan, Z
dc.date.accessioned	2023-01-26T01:02:25Z
dc.date.available	2023-01-26T01:02:25Z
dc.date.issued	2022-11-01
dc.identifier.citation	Energy Economics, 2022, 115
dc.identifier.issn	0140-9883
dc.identifier.issn	1873-6181
dc.identifier.uri	http://hdl.handle.net/10453/165447
dc.description.abstract	The significant achievements in economic growth and urbanization in China have recently led to substantial increases of and great inequality in household carbon footprints (HCFs). To achieve efficiency and justice in emissions reduction, policymakers need to fully understand the sources of HCFs and identify the major causes of carbon inequality. By applying the Unconditional Quantile Regression (UQR) model and decomposition method to the Chinese household survey data, this paper investigates the distributional features of HCFs and their determinants. We find that HCFs are unevenly distributed due to differences in the volume and pattern of consumption, which are further determined by household characteristics and lifestyles. The intertemporal lifestyle changes have played a major role in the rise of HCFs inequality measured by various quantile emissions differentials. In addition, considerable increases in HCFs come from the high carbon emission groups, and most of the HCFs inequality stems from the 90–50 emissions differential. To transform the current carbon-intensive economy, policies are required to enhance environmental equity and encourage low-carbon lifestyles.
dc.language	English
dc.publisher	ELSEVIER
dc.relation.ispartof	Energy Economics
dc.relation.isbasedon	10.1016/j.eneco.2022.106334
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	Household carbon footprints inequality in China: Drivers, components and dynamics
dc.type	Journal Article
utslib.citation.volume	115
utslib.for	0906 Electrical and Electronic Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	1402 Applied Economics
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	2024-11-01T00:00:00+1000Z
dc.date.updated	2023-01-26T01:02:22Z
pubs.publication-status	Published
pubs.volume	115

Abstract:

The significant achievements in economic growth and urbanization in China have recently led to substantial increases of and great inequality in household carbon footprints (HCFs). To achieve efficiency and justice in emissions reduction, policymakers need to fully understand the sources of HCFs and identify the major causes of carbon inequality. By applying the Unconditional Quantile Regression (UQR) model and decomposition method to the Chinese household survey data, this paper investigates the distributional features of HCFs and their determinants. We find that HCFs are unevenly distributed due to differences in the volume and pattern of consumption, which are further determined by household characteristics and lifestyles. The intertemporal lifestyle changes have played a major role in the rise of HCFs inequality measured by various quantile emissions differentials. In addition, considerable increases in HCFs come from the high carbon emission groups, and most of the HCFs inequality stems from the 90–50 emissions differential. To transform the current carbon-intensive economy, policies are required to enhance environmental equity and encourage low-carbon lifestyles.

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http://hdl.handle.net/10453/165447