Cargando…

Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities

The spatial agglomeration of capital factors has become an important force affecting regional economic development and industrial structure. Investigating the spatial relationship of capital factor agglomeration is a key way to accelerate the upgrading of urban industrial structure and realize susta...

Descripción completa

Detalles Bibliográficos
Autores principales: Ran, Maosheng, Zhao, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525755/
https://www.ncbi.nlm.nih.gov/pubmed/34665832
http://dx.doi.org/10.1371/journal.pone.0258758
_version_ 1784585744665280512
author Ran, Maosheng
Zhao, Cheng
author_facet Ran, Maosheng
Zhao, Cheng
author_sort Ran, Maosheng
collection PubMed
description The spatial agglomeration of capital factors has become an important force affecting regional economic development and industrial structure. Investigating the spatial relationship of capital factor agglomeration is a key way to accelerate the upgrading of urban industrial structure and realize sustainable development. Based on the panel data of 284 cities in China from 2008 to 2017, we use the theoretical framework of spatial econometrics and estimate the spatial effects of capital factor agglomeration on the upgrading of urban industrial structure. Both the global Moran index and the local Moran scatter chart present that the agglomeration of capital factors and the upgrading index of urban industrial structure shows the characteristics of spatial agglomeration. The results reveal that the agglomeration of capital factors can significantly promote the upgrading of the industrial structure of local and surrounding cities. Still, the spatial spillover effect is not significant. We then explore the possible factors that limit the spatial spillover effects of capital agglomeration. Using the results of the paper, we provide policy suggestions for strengthening urban industrial construction and optimizing the urban governance model.
format Online
Article
Text
id pubmed-8525755
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-85257552021-10-20 Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities Ran, Maosheng Zhao, Cheng PLoS One Research Article The spatial agglomeration of capital factors has become an important force affecting regional economic development and industrial structure. Investigating the spatial relationship of capital factor agglomeration is a key way to accelerate the upgrading of urban industrial structure and realize sustainable development. Based on the panel data of 284 cities in China from 2008 to 2017, we use the theoretical framework of spatial econometrics and estimate the spatial effects of capital factor agglomeration on the upgrading of urban industrial structure. Both the global Moran index and the local Moran scatter chart present that the agglomeration of capital factors and the upgrading index of urban industrial structure shows the characteristics of spatial agglomeration. The results reveal that the agglomeration of capital factors can significantly promote the upgrading of the industrial structure of local and surrounding cities. Still, the spatial spillover effect is not significant. We then explore the possible factors that limit the spatial spillover effects of capital agglomeration. Using the results of the paper, we provide policy suggestions for strengthening urban industrial construction and optimizing the urban governance model. Public Library of Science 2021-10-19 /pmc/articles/PMC8525755/ /pubmed/34665832 http://dx.doi.org/10.1371/journal.pone.0258758 Text en © 2021 Ran, Zhao https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ran, Maosheng
Zhao, Cheng
Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title_full Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title_fullStr Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title_full_unstemmed Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title_short Spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in China: Based on panel data of 284 prefecture-level cities
title_sort spatial spillover effects of capital factor agglomeration on the urban industrial structure upgrading in china: based on panel data of 284 prefecture-level cities
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525755/
https://www.ncbi.nlm.nih.gov/pubmed/34665832
http://dx.doi.org/10.1371/journal.pone.0258758
work_keys_str_mv AT ranmaosheng spatialspillovereffectsofcapitalfactoragglomerationontheurbanindustrialstructureupgradinginchinabasedonpaneldataof284prefecturelevelcities
AT zhaocheng spatialspillovereffectsofcapitalfactoragglomerationontheurbanindustrialstructureupgradinginchinabasedonpaneldataof284prefecturelevelcities