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Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty

Poverty seriously hinders the inclusive development of mankind and is closely related to economic growth, ecological protection, ecological restoration and sustainable use of resources. Based on the data of economic census and rural fixed observation point, a spatial econometric model is established...

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Detalles Bibliográficos
Autores principales: Wu, Junqian, Liu, Xiaoqian, Ruan, Jianqing, Qi, Xiulin, Wang, Chang’an, Fan, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535622/
https://www.ncbi.nlm.nih.gov/pubmed/34682690
http://dx.doi.org/10.3390/ijerph182010943
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author Wu, Junqian
Liu, Xiaoqian
Ruan, Jianqing
Qi, Xiulin
Wang, Chang’an
Fan, Dan
author_facet Wu, Junqian
Liu, Xiaoqian
Ruan, Jianqing
Qi, Xiulin
Wang, Chang’an
Fan, Dan
author_sort Wu, Junqian
collection PubMed
description Poverty seriously hinders the inclusive development of mankind and is closely related to economic growth, ecological protection, ecological restoration and sustainable use of resources. Based on the data of economic census and rural fixed observation point, a spatial econometric model is established to test the direct impact and spatial spillover effect of industrial clusters on rural poverty alleviation. The result of household-level is that the number of industrial clusters has a negative effect on poverty, namely the farmers who live in the county with more industrial clusters, may be less likely to become the poor. The number of industrial clusters in other regions also has a negative effect on poverty. By dividing farmers into the poverty and non-poverty group, the study finds that, for the poverty group, the number of industrial clusters has a positive direct and spillover effect on farmers’ income. For the non-poverty group, the number of local industrial clusters has a positive direct effect on farmers’ income, but the number of industrial clusters in other regions does not have any effects or has a negative direct effect on farmers’ income. By classifying the industries, the study discovers that the labor-intensive industrial clusters, such as textiles, manufacture and processing of machinery parts and paper industries, have a positive effect on farmers’ income.
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spelling pubmed-85356222021-10-23 Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty Wu, Junqian Liu, Xiaoqian Ruan, Jianqing Qi, Xiulin Wang, Chang’an Fan, Dan Int J Environ Res Public Health Article Poverty seriously hinders the inclusive development of mankind and is closely related to economic growth, ecological protection, ecological restoration and sustainable use of resources. Based on the data of economic census and rural fixed observation point, a spatial econometric model is established to test the direct impact and spatial spillover effect of industrial clusters on rural poverty alleviation. The result of household-level is that the number of industrial clusters has a negative effect on poverty, namely the farmers who live in the county with more industrial clusters, may be less likely to become the poor. The number of industrial clusters in other regions also has a negative effect on poverty. By dividing farmers into the poverty and non-poverty group, the study finds that, for the poverty group, the number of industrial clusters has a positive direct and spillover effect on farmers’ income. For the non-poverty group, the number of local industrial clusters has a positive direct effect on farmers’ income, but the number of industrial clusters in other regions does not have any effects or has a negative direct effect on farmers’ income. By classifying the industries, the study discovers that the labor-intensive industrial clusters, such as textiles, manufacture and processing of machinery parts and paper industries, have a positive effect on farmers’ income. MDPI 2021-10-18 /pmc/articles/PMC8535622/ /pubmed/34682690 http://dx.doi.org/10.3390/ijerph182010943 Text en © 2021 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
Wu, Junqian
Liu, Xiaoqian
Ruan, Jianqing
Qi, Xiulin
Wang, Chang’an
Fan, Dan
Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title_full Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title_fullStr Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title_full_unstemmed Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title_short Space Power in Inclusive Development: Industrial Clusters and Rural Anti-Poverty
title_sort space power in inclusive development: industrial clusters and rural anti-poverty
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8535622/
https://www.ncbi.nlm.nih.gov/pubmed/34682690
http://dx.doi.org/10.3390/ijerph182010943
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