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Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China

The three northeast provinces are typical areas of regional shrinkage in China. A scientific understanding of their shrinkage and driving mechanism is conducive to the transformation and development of traditional industrial bases in China. This study analyzed the spatiotemporal evolution and drivin...

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Autores principales: Yu, Shangkun, Wang, Chengxin, Jin, Zhenxing, Zhang, Shuai, Miao, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394843/
https://www.ncbi.nlm.nih.gov/pubmed/35994443
http://dx.doi.org/10.1371/journal.pone.0271909
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author Yu, Shangkun
Wang, Chengxin
Jin, Zhenxing
Zhang, Shuai
Miao, Yi
author_facet Yu, Shangkun
Wang, Chengxin
Jin, Zhenxing
Zhang, Shuai
Miao, Yi
author_sort Yu, Shangkun
collection PubMed
description The three northeast provinces are typical areas of regional shrinkage in China. A scientific understanding of their shrinkage and driving mechanism is conducive to the transformation and development of traditional industrial bases in China. This study analyzed the spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale in the three provinces. The main findings are as follows: (1) 40.86% of counties in the three provinces shrank, forming three concentrated shrinking regions. However, comprehensively shrinking regions were narrowed and lessened with the introduction of the Northeast Area Revitalization Plan. (2) The population-related shrinking regions accounted for more than 90% and continued to expand. Such shrinkage was higher in the north than in the south. The degree of economy-related shrinkage was the most serious, and the hotspots were mainly concentrated in Liaoning Province. The scope of space-related shrinkage was most minor, and such shrinkage was relatively mild. (3) When it came to influencing factors, the shrinkage index was positively correlated with the proportion of the secondary industry, the output value of agriculture, forestry, animal husbandry and fishery, the number of industrial enterprises above the designated size, fiscal expenditure, and the balance of resident deposits, and negatively correlated with the altitude, the proportion of the tertiary industry, and population aging. Geographically weighted regression (GWR) and ordinary least squares (OLS) produced similar regression results. The spatial pattern of influencing factors was consistent with the hotspot areas of population-related shrinkage or economy-related shrinkage, with significant spatial differences.
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spelling pubmed-93948432022-08-23 Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China Yu, Shangkun Wang, Chengxin Jin, Zhenxing Zhang, Shuai Miao, Yi PLoS One Research Article The three northeast provinces are typical areas of regional shrinkage in China. A scientific understanding of their shrinkage and driving mechanism is conducive to the transformation and development of traditional industrial bases in China. This study analyzed the spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale in the three provinces. The main findings are as follows: (1) 40.86% of counties in the three provinces shrank, forming three concentrated shrinking regions. However, comprehensively shrinking regions were narrowed and lessened with the introduction of the Northeast Area Revitalization Plan. (2) The population-related shrinking regions accounted for more than 90% and continued to expand. Such shrinkage was higher in the north than in the south. The degree of economy-related shrinkage was the most serious, and the hotspots were mainly concentrated in Liaoning Province. The scope of space-related shrinkage was most minor, and such shrinkage was relatively mild. (3) When it came to influencing factors, the shrinkage index was positively correlated with the proportion of the secondary industry, the output value of agriculture, forestry, animal husbandry and fishery, the number of industrial enterprises above the designated size, fiscal expenditure, and the balance of resident deposits, and negatively correlated with the altitude, the proportion of the tertiary industry, and population aging. Geographically weighted regression (GWR) and ordinary least squares (OLS) produced similar regression results. The spatial pattern of influencing factors was consistent with the hotspot areas of population-related shrinkage or economy-related shrinkage, with significant spatial differences. Public Library of Science 2022-08-22 /pmc/articles/PMC9394843/ /pubmed/35994443 http://dx.doi.org/10.1371/journal.pone.0271909 Text en © 2022 Yu et al 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
Yu, Shangkun
Wang, Chengxin
Jin, Zhenxing
Zhang, Shuai
Miao, Yi
Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title_full Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title_fullStr Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title_full_unstemmed Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title_short Spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: The three provinces in northeastern China
title_sort spatiotemporal evolution and driving mechanism of regional shrinkage at the county scale: the three provinces in northeastern china
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9394843/
https://www.ncbi.nlm.nih.gov/pubmed/35994443
http://dx.doi.org/10.1371/journal.pone.0271909
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