Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect

As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government...

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Main Authors: Zhong, Cheng, Hamzah, Hanny Zurina, Yin, Jin, Wu, Desheng, Cao, Jianhong, Mao, Xiaoming, Zhuang, Qianda
Format: Article
Published: Frontiers Research Foundation 2022
Online Access:http://psasir.upm.edu.my/id/eprint/101809/
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author Zhong, Cheng
Hamzah, Hanny Zurina
Yin, Jin
Wu, Desheng
Cao, Jianhong
Mao, Xiaoming
Zhuang, Qianda
author_facet Zhong, Cheng
Hamzah, Hanny Zurina
Yin, Jin
Wu, Desheng
Cao, Jianhong
Mao, Xiaoming
Zhuang, Qianda
author_sort Zhong, Cheng
building UPM Institutional Repository
collection Online Access
description As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government is facing the challenge of reaching a Carbon Peak by the 2060s, within this context, it is critically important to explore the relationship between industrial agglomeration and industrial eco-efficiency, moreover, energy intensity may play a key role between them, which should not be ignored. Therefore, based on the STIRPAT model, this paper constructs a spatial autocorrelation model (SAC model) to analyze the provincial panel dataset from 2009 to 2018, and it is found that: First, the industrial agglomeration has an inverted N-shaped relationship with industrial eco-efficiency, and industrial eco-efficiency indeed have a positive spatial spillover effect. Second, energy intensity plays a mediating role, industrial agglomeration would affect industrial eco-efficiency through energy intensity. Therefore, it is suggested that the government should introduce differentiated industrial agglomeration policies as well as energy-saving policies. In addition, this paper suggests that policymakers should adhere to consistent industrial sustainable development policies.
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institution Universiti Putra Malaysia
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last_indexed 2025-11-15T13:36:04Z
publishDate 2022
publisher Frontiers Research Foundation
recordtype eprints
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spelling upm-1018092023-10-04T06:56:12Z http://psasir.upm.edu.my/id/eprint/101809/ Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect Zhong, Cheng Hamzah, Hanny Zurina Yin, Jin Wu, Desheng Cao, Jianhong Mao, Xiaoming Zhuang, Qianda As a measuring tool of industrial sustainable development, industrial eco-efficiency works as a link between economic benefit and environmental pressure. Industrial agglomeration and energy have always been considered an important influence factor on industrial eco-efficiency. The Chinese government is facing the challenge of reaching a Carbon Peak by the 2060s, within this context, it is critically important to explore the relationship between industrial agglomeration and industrial eco-efficiency, moreover, energy intensity may play a key role between them, which should not be ignored. Therefore, based on the STIRPAT model, this paper constructs a spatial autocorrelation model (SAC model) to analyze the provincial panel dataset from 2009 to 2018, and it is found that: First, the industrial agglomeration has an inverted N-shaped relationship with industrial eco-efficiency, and industrial eco-efficiency indeed have a positive spatial spillover effect. Second, energy intensity plays a mediating role, industrial agglomeration would affect industrial eco-efficiency through energy intensity. Therefore, it is suggested that the government should introduce differentiated industrial agglomeration policies as well as energy-saving policies. In addition, this paper suggests that policymakers should adhere to consistent industrial sustainable development policies. Frontiers Research Foundation 2022-07-11 Article PeerReviewed Zhong, Cheng and Hamzah, Hanny Zurina and Yin, Jin and Wu, Desheng and Cao, Jianhong and Mao, Xiaoming and Zhuang, Qianda (2022) Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect. Frontiers in Environmental Science, 10. art. no. 954252. pp. 1-14. ISSN 2296-665X https://www.frontiersin.org/articles/10.3389/fenvs.2022.954252/full 10.3389/fenvs.2022.954252
spellingShingle Zhong, Cheng
Hamzah, Hanny Zurina
Yin, Jin
Wu, Desheng
Cao, Jianhong
Mao, Xiaoming
Zhuang, Qianda
Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title_full Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title_fullStr Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title_full_unstemmed Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title_short Impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
title_sort impacts of industrial agglomeration and energy intensity on industrial eco-efficiency-analysis based on spatial correlation and mediating effect
url http://psasir.upm.edu.my/id/eprint/101809/
http://psasir.upm.edu.my/id/eprint/101809/
http://psasir.upm.edu.my/id/eprint/101809/