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How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective
Developing high-quality manufacturing industries and realizing green transformation are relatively pressing issues in the 21st century. Existing studies only focus on the economic or environmental effects of agglomeration, and the combined effects of manufacturing agglomeration have been neglected....
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408180/ https://www.ncbi.nlm.nih.gov/pubmed/36012039 http://dx.doi.org/10.3390/ijerph191610404 |
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author | Yuan, Huaxi Zou, Longhui Luo, Xiangyong Feng, Yidai |
author_facet | Yuan, Huaxi Zou, Longhui Luo, Xiangyong Feng, Yidai |
author_sort | Yuan, Huaxi |
collection | PubMed |
description | Developing high-quality manufacturing industries and realizing green transformation are relatively pressing issues in the 21st century. Existing studies only focus on the economic or environmental effects of agglomeration, and the combined effects of manufacturing agglomeration have been neglected. Therefore, by referring to industrial agglomeration theory and constructing a theoretical analytical framework for manufacturing agglomeration and green development, this paper adopts the spatial panel Durbin model and mediating effect model with the panel data from China’s Yangtze River Economic Belt to empirically test the influence and its mechanism of manufacturing agglomeration on green development. The results show that: (1) There are significant temporal and spatial differences in green development in the Yangtze River Economic Belt. Overall, green development has maintained a steady increase on the timeline, but each region shows a hierarchical structure of “multiple peaks-multiple centers”. (2) There is a typical inverted U-shaped relationship between manufacturing agglomeration and green development, and the linear and quadratic coefficients of manufacturing agglomeration are −0.585 and −0.167, respectively. (3) Under the constraints of temporal, spatial, and urban heterogeneity, the impacts of manufacturing agglomeration on green development show significant differences. (4) Manufacturing agglomeration affects green development through three paths: the labor force upgrading effect, industrial structure upgrading effect, and technological innovation effect. The study can provide a theoretical and empirical basis for the green development of developing countries around the world. |
format | Online Article Text |
id | pubmed-9408180 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94081802022-08-26 How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective Yuan, Huaxi Zou, Longhui Luo, Xiangyong Feng, Yidai Int J Environ Res Public Health Article Developing high-quality manufacturing industries and realizing green transformation are relatively pressing issues in the 21st century. Existing studies only focus on the economic or environmental effects of agglomeration, and the combined effects of manufacturing agglomeration have been neglected. Therefore, by referring to industrial agglomeration theory and constructing a theoretical analytical framework for manufacturing agglomeration and green development, this paper adopts the spatial panel Durbin model and mediating effect model with the panel data from China’s Yangtze River Economic Belt to empirically test the influence and its mechanism of manufacturing agglomeration on green development. The results show that: (1) There are significant temporal and spatial differences in green development in the Yangtze River Economic Belt. Overall, green development has maintained a steady increase on the timeline, but each region shows a hierarchical structure of “multiple peaks-multiple centers”. (2) There is a typical inverted U-shaped relationship between manufacturing agglomeration and green development, and the linear and quadratic coefficients of manufacturing agglomeration are −0.585 and −0.167, respectively. (3) Under the constraints of temporal, spatial, and urban heterogeneity, the impacts of manufacturing agglomeration on green development show significant differences. (4) Manufacturing agglomeration affects green development through three paths: the labor force upgrading effect, industrial structure upgrading effect, and technological innovation effect. The study can provide a theoretical and empirical basis for the green development of developing countries around the world. MDPI 2022-08-21 /pmc/articles/PMC9408180/ /pubmed/36012039 http://dx.doi.org/10.3390/ijerph191610404 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yuan, Huaxi Zou, Longhui Luo, Xiangyong Feng, Yidai How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title | How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title_full | How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title_fullStr | How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title_full_unstemmed | How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title_short | How Does Manufacturing Agglomeration Affect Green Development? A Spatial and Nonlinear Perspective |
title_sort | how does manufacturing agglomeration affect green development? a spatial and nonlinear perspective |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9408180/ https://www.ncbi.nlm.nih.gov/pubmed/36012039 http://dx.doi.org/10.3390/ijerph191610404 |
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