Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data

Industrial co-agglomeration plays a significant role in the moving up of the manufacturing industry in the value chain and in transforming China from a manufacturing giant into a world manufacturing power. This study establishes a co-aggregation index to explore spatio-temporal changes of the co-agg...

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Autores principales: Rulong Zhuang, Kena Mi, Zhangwei Feng
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/403a93f878fa4d898acf698af0eb36d4
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spelling oai:doaj.org-article:403a93f878fa4d898acf698af0eb36d42021-11-25T17:51:07ZIndustrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data10.3390/ijerph1822120971660-46011661-7827https://doaj.org/article/403a93f878fa4d898acf698af0eb36d42021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/12097https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Industrial co-agglomeration plays a significant role in the moving up of the manufacturing industry in the value chain and in transforming China from a manufacturing giant into a world manufacturing power. This study establishes a co-aggregation index to explore spatio-temporal changes of the co-agglomeration between manufacturing and producer services in 30 provinces of China from 2004 to 2019. Furthermore, we use spatial Durbin model to analyze the impact of industrial co-agglomeration on air pollution reduction. We find that (1) the co-agglomeration index varies remarkably at spatio-temporal scale; (2) high co-agglomeration index is mainly distributed in eastern and central China, while low co-agglomeration index is mainly located in the western region; (3) the co-agglomeration index presents a cluster pattern among provinces, with the cluster of high value in eastern China and the cluster of low value in western China; and (4) the co-agglomeration between manufacturing and producer services is proven effetely to reduce air pollution, which is accompanied with spatial spillover effect. We also provided policy implications in line with diverse industries, multi hierarchies, and different regions, promoting the coordination of manufacturing and producer services and improving air quality.Rulong ZhuangKena MiZhangwei FengMDPI AGarticlemanufacturingproducer servicesco-agglomerationair pollution reductionenvironmental impactMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 12097, p 12097 (2021)
institution DOAJ
collection DOAJ
language EN
topic manufacturing
producer services
co-agglomeration
air pollution reduction
environmental impact
Medicine
R
spellingShingle manufacturing
producer services
co-agglomeration
air pollution reduction
environmental impact
Medicine
R
Rulong Zhuang
Kena Mi
Zhangwei Feng
Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
description Industrial co-agglomeration plays a significant role in the moving up of the manufacturing industry in the value chain and in transforming China from a manufacturing giant into a world manufacturing power. This study establishes a co-aggregation index to explore spatio-temporal changes of the co-agglomeration between manufacturing and producer services in 30 provinces of China from 2004 to 2019. Furthermore, we use spatial Durbin model to analyze the impact of industrial co-agglomeration on air pollution reduction. We find that (1) the co-agglomeration index varies remarkably at spatio-temporal scale; (2) high co-agglomeration index is mainly distributed in eastern and central China, while low co-agglomeration index is mainly located in the western region; (3) the co-agglomeration index presents a cluster pattern among provinces, with the cluster of high value in eastern China and the cluster of low value in western China; and (4) the co-agglomeration between manufacturing and producer services is proven effetely to reduce air pollution, which is accompanied with spatial spillover effect. We also provided policy implications in line with diverse industries, multi hierarchies, and different regions, promoting the coordination of manufacturing and producer services and improving air quality.
format article
author Rulong Zhuang
Kena Mi
Zhangwei Feng
author_facet Rulong Zhuang
Kena Mi
Zhangwei Feng
author_sort Rulong Zhuang
title Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
title_short Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
title_full Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
title_fullStr Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
title_full_unstemmed Industrial Co-Agglomeration and Air Pollution Reduction: An Empirical Evidence Based on Provincial Panel Data
title_sort industrial co-agglomeration and air pollution reduction: an empirical evidence based on provincial panel data
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/403a93f878fa4d898acf698af0eb36d4
work_keys_str_mv AT rulongzhuang industrialcoagglomerationandairpollutionreductionanempiricalevidencebasedonprovincialpaneldata
AT kenami industrialcoagglomerationandairpollutionreductionanempiricalevidencebasedonprovincialpaneldata
AT zhangweifeng industrialcoagglomerationandairpollutionreductionanempiricalevidencebasedonprovincialpaneldata
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