A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China

Zeng, L; Zhang, W; Yang, M

A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China

Zeng, L Zhang, W Yang, M

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Publisher:: MDPI
Publication Type:: Journal Article
Citation:: Energies, 2023, 16, (21)
Issue Date:: 2023-11-01

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Field	Value	Language
dc.contributor.author	Zeng, L
dc.contributor.author	Zhang, W
dc.contributor.author	Yang, M https://orcid.org/0000-0003-4009-2002
dc.date.accessioned	2024-03-14T22:33:01Z
dc.date.available	2024-03-14T22:33:01Z
dc.date.issued	2023-11-01
dc.identifier.citation	Energies, 2023, 16, (21)
dc.identifier.issn	1996-1073
dc.identifier.issn	1996-1073
dc.identifier.uri	http://hdl.handle.net/10453/176728
dc.description.abstract	The serious energy crisis and environmental problems resulting from fossil energy excessive consumption have caused severe challenges to the control of energy consumption and intensity (dual controls) and the sustainable development of China’s economy and society. The current territorial management model (TMM) of energy consumption “dual control” needs urgent improvement. Therefore, this study proposes an inter-provincial energy consumption transfer tax model (ECTTM) based on the Stackelberg game and bi-level optimization theory. In this model, the central government is the leader at the upper-level, and provincial governments are the lower-level followers. An optimization algorithm based on NSGA-II was designed to solve this model to obtain the optimal transfer tax rate and provincial energy consumption. The ECTTM aims to maximize the socioeconomic benefits of energy consumption overall and in each province under the premise of achieving the dual control target. The model’s effectiveness and superiority were illustrated through an empirical study of electricity consumption in Shanghai, Zhejiang, Shaanxi, and Guizhou. Compared with the TMM, the socioeconomic benefits under the ECTTM increased by 14.67%, and the electricity consumption per unit of gross domestic product decreased by 12.8%. Policy suggestions on the ECTTM’s implementation are proposed to promote further improvements in dual controls.
dc.language	English
dc.publisher	MDPI
dc.relation.ispartof	Energies
dc.relation.isbasedon	10.3390/en16217328
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	02 Physical Sciences, 09 Engineering
dc.subject.classification	33 Built environment and design
dc.subject.classification	40 Engineering
dc.subject.classification	51 Physical sciences
dc.title	A Bi-Level Optimization Model for Inter-Provincial Energy Consumption Transfer Tax in China
dc.type	Journal Article
utslib.citation.volume	16
utslib.for	02 Physical Sciences
utslib.for	09 Engineering
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-03-14T22:32:59Z
pubs.issue	21
pubs.publication-status	Published
pubs.volume	16
utslib.citation.issue	21

Abstract:

The serious energy crisis and environmental problems resulting from fossil energy excessive consumption have caused severe challenges to the control of energy consumption and intensity (dual controls) and the sustainable development of China’s economy and society. The current territorial management model (TMM) of energy consumption “dual control” needs urgent improvement. Therefore, this study proposes an inter-provincial energy consumption transfer tax model (ECTTM) based on the Stackelberg game and bi-level optimization theory. In this model, the central government is the leader at the upper-level, and provincial governments are the lower-level followers. An optimization algorithm based on NSGA-II was designed to solve this model to obtain the optimal transfer tax rate and provincial energy consumption. The ECTTM aims to maximize the socioeconomic benefits of energy consumption overall and in each province under the premise of achieving the dual control target. The model’s effectiveness and superiority were illustrated through an empirical study of electricity consumption in Shanghai, Zhejiang, Shaanxi, and Guizhou. Compared with the TMM, the socioeconomic benefits under the ECTTM increased by 14.67%, and the electricity consumption per unit of gross domestic product decreased by 12.8%. Policy suggestions on the ECTTM’s implementation are proposed to promote further improvements in dual controls.

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http://hdl.handle.net/10453/176728