Structural and technological determinants of carbon intensity reduction of China's electricity generation.

Zhao, Y; Cao, Y; Shi, X; Zhang, Z; Zhang, W

Structural and technological determinants of carbon intensity reduction of China's electricity generation.

Zhao, Y Cao, Y Shi, X

Zhang, Z Zhang, W

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Publisher:: SPRINGER HEIDELBERG
Publication Type:: Journal Article
Citation:: Environmental science and pollution research international, 2021, 28, (11), pp. 13469-13486
Issue Date:: 2021-03

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Field	Value	Language
dc.contributor.author	Zhao, Y
dc.contributor.author	Cao, Y
dc.contributor.author	Shi, X https://orcid.org/0000-0001-9653-7395
dc.contributor.author	Zhang, Z
dc.contributor.author	Zhang, W
dc.date.accessioned	2021-11-24T04:11:33Z
dc.date.available	2020-10-26
dc.date.available	2021-11-24T04:11:33Z
dc.date.issued	2021-03
dc.identifier.citation	Environmental science and pollution research international, 2021, 28, (11), pp. 13469-13486
dc.identifier.issn	0944-1344
dc.identifier.issn	1614-7499
dc.identifier.uri	http://hdl.handle.net/10453/151807
dc.description.abstract	Electricity generation is the largest sector with decarbonization potential for China and the world. Based on the new emission factors, this paper aims to identify the structural and technological determinants of provincial carbon intensity in the electricity generation sector (CIE) using the multiplicative LMDI-II method. Results demonstrate that (1) China's overall CIE decreases by 7.3% in 2001-2015, and the research period can be divided into four stages according to CIE changes (i.e., rapid growth, rapid decline, slow growth, and transition). The CIE in the 12th FYP estimated in this paper, 24.9% lower than that using the emission factors from IPCC, is closer to China's actual situation. (2) There exists huge heterogeneity in the determinants of provincial CIE changes in four stages. CIE growth in the Northwest and Northeast is caused by the coal-dominated energy structure. CIE growth in the Southwest is attributed to the electricity structure effect, while that of the Coast region is caused by the geographic distribution effect. The electricity efficiency effect is attributed to the CIE growth for these regions and the Southwest should also place focus on the electricity trade effect. The impact of electricity trade-related factors depends on the region being a net exporter or importer of electricity. (3) To achieve carbon intensity reduction targets, 30 provinces are categorized into four types based on various combinations of structural and technological determinants. The findings provide insights into capturing future emission-mitigating focus as well as defining the emission-mitigating responsibilities between electricity exporters and importers in China.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	SPRINGER HEIDELBERG
dc.relation	National Natural Science Foundation of China71828401
dc.relation.ispartof	Environmental science and pollution research international
dc.relation.isbasedon	10.1007/s11356-020-11429-0
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	03 Chemical Sciences, 05 Environmental Sciences, 06 Biological Sciences
dc.subject.classification	Environmental Sciences
dc.subject.mesh	Carbon Dioxide
dc.subject.mesh	Carbon
dc.subject.mesh	Electricity
dc.subject.mesh	Coal
dc.subject.mesh	Technology
dc.subject.mesh	China
dc.subject.mesh	Carbon
dc.subject.mesh	Carbon Dioxide
dc.subject.mesh	China
dc.subject.mesh	Coal
dc.subject.mesh	Electricity
dc.subject.mesh	Technology
dc.title	Structural and technological determinants of carbon intensity reduction of China's electricity generation.
dc.type	Journal Article
utslib.citation.volume	28
utslib.location.activity	Germany
utslib.for	03 Chemical Sciences
utslib.for	05 Environmental Sciences
utslib.for	06 Biological Sciences
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	closed_access	*
dc.date.updated	2021-11-24T04:11:32Z
pubs.issue	11
pubs.publication-status	Published
pubs.volume	28
utslib.citation.issue	11

Abstract:

Electricity generation is the largest sector with decarbonization potential for China and the world. Based on the new emission factors, this paper aims to identify the structural and technological determinants of provincial carbon intensity in the electricity generation sector (CIE) using the multiplicative LMDI-II method. Results demonstrate that (1) China's overall CIE decreases by 7.3% in 2001-2015, and the research period can be divided into four stages according to CIE changes (i.e., rapid growth, rapid decline, slow growth, and transition). The CIE in the 12th FYP estimated in this paper, 24.9% lower than that using the emission factors from IPCC, is closer to China's actual situation. (2) There exists huge heterogeneity in the determinants of provincial CIE changes in four stages. CIE growth in the Northwest and Northeast is caused by the coal-dominated energy structure. CIE growth in the Southwest is attributed to the electricity structure effect, while that of the Coast region is caused by the geographic distribution effect. The electricity efficiency effect is attributed to the CIE growth for these regions and the Southwest should also place focus on the electricity trade effect. The impact of electricity trade-related factors depends on the region being a net exporter or importer of electricity. (3) To achieve carbon intensity reduction targets, 30 provinces are categorized into four types based on various combinations of structural and technological determinants. The findings provide insights into capturing future emission-mitigating focus as well as defining the emission-mitigating responsibilities between electricity exporters and importers in China.

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http://hdl.handle.net/10453/151807