Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China

This study estimates regional economic resilience in China from 2000 to 2022, focusing on economic resistance resilience, recovery resilience, and reorientation resilience. The entropy method, kernel density estimation, and spatial Durbin model are applied to examine the spatiotemporal evolution and...

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Main Authors: Qiuyue Zhang, Yili Lin, Yu Cao, Long Luo
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/27/1/23
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author Qiuyue Zhang
Yili Lin
Yu Cao
Long Luo
author_facet Qiuyue Zhang
Yili Lin
Yu Cao
Long Luo
author_sort Qiuyue Zhang
collection DOAJ
description This study estimates regional economic resilience in China from 2000 to 2022, focusing on economic resistance resilience, recovery resilience, and reorientation resilience. The entropy method, kernel density estimation, and spatial Durbin model are applied to examine the spatiotemporal evolution and influencing factors. The results show significant spatial clustering, with stronger resilience in the east and weaker resilience in the west. While economic resilience has generally improved, regional disparities persist. Key factors such as human capital, urban hospitals, financial development, market consumption, and environmental quality have a positive effect on resilience, with spatial spillover effects. However, human capital and urban hospitals also show a negative indirect impact on surrounding regions. The influence of these factors varies across regions and periods, indicating strong spatiotemporal heterogeneity.
format Article
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institution Kabale University
issn 1099-4300
language English
publishDate 2024-12-01
publisher MDPI AG
record_format Article
series Entropy
spelling doaj-art-7949c1cd48d241a38b1a9240fa081aca2025-01-24T13:31:42ZengMDPI AGEntropy1099-43002024-12-012712310.3390/e27010023Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in ChinaQiuyue Zhang0Yili Lin1Yu Cao2Long Luo3School of Economics and Management, Beijing University of Technology, Beijing 100124, ChinaSchool of Political Science and Law, University of Jinan, Jinan 250022, ChinaSchool of Social Research, Renmin University of China, Beijing 100872, ChinaDepartment of Physical Education and Research, Central South University, Changsha 410083, ChinaThis study estimates regional economic resilience in China from 2000 to 2022, focusing on economic resistance resilience, recovery resilience, and reorientation resilience. The entropy method, kernel density estimation, and spatial Durbin model are applied to examine the spatiotemporal evolution and influencing factors. The results show significant spatial clustering, with stronger resilience in the east and weaker resilience in the west. While economic resilience has generally improved, regional disparities persist. Key factors such as human capital, urban hospitals, financial development, market consumption, and environmental quality have a positive effect on resilience, with spatial spillover effects. However, human capital and urban hospitals also show a negative indirect impact on surrounding regions. The influence of these factors varies across regions and periods, indicating strong spatiotemporal heterogeneity.https://www.mdpi.com/1099-4300/27/1/23economic resilienceentropy methodspatial Durbin model
spellingShingle Qiuyue Zhang
Yili Lin
Yu Cao
Long Luo
Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
Entropy
economic resilience
entropy method
spatial Durbin model
title Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
title_full Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
title_fullStr Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
title_full_unstemmed Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
title_short Analysis of the Spatiotemporal Heterogeneity and Influencing Factors of Regional Economic Resilience in China
title_sort analysis of the spatiotemporal heterogeneity and influencing factors of regional economic resilience in china
topic economic resilience
entropy method
spatial Durbin model
url https://www.mdpi.com/1099-4300/27/1/23
work_keys_str_mv AT qiuyuezhang analysisofthespatiotemporalheterogeneityandinfluencingfactorsofregionaleconomicresilienceinchina
AT yililin analysisofthespatiotemporalheterogeneityandinfluencingfactorsofregionaleconomicresilienceinchina
AT yucao analysisofthespatiotemporalheterogeneityandinfluencingfactorsofregionaleconomicresilienceinchina
AT longluo analysisofthespatiotemporalheterogeneityandinfluencingfactorsofregionaleconomicresilienceinchina