科研之友
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摘要
As a consequence of global political and economic changes and multiple crisis shocks, regional economic resilience has emerged as one of the most important themes in studying regional development. A multiscale analysis framework based on scale decomposition, spatial autocorrelation analysis, and the spatial error model was utilized. The spatio-temporal evolution of regional economic resilience in China was analyzed from 2008 to 2020 on three scales: prefecture-level, province-level, and district-level, and their influencing factors were also analyzed. The study indicated that: (1) since 2008, China's regional economic resilience as a whole has shown a fluctuating upward trend. Regional differences in China's economic resilience were closely related to geographic scale, exhibiting the characteristics of prefecture-level > province-level > district-level, which meant that the smaller the spatial scale, the greater the differences. (2) The regional economic resilience in each scale showed significant spatial clustering characteristics and was dominated by the high-high (H-H) type, with spatial dependence and heterogeneity becoming more obvious as the scale became smaller. (3) Variations in economic resilience across different scales can be attributed to a combination of factors, including industrial structure, environmental conditions, level of government management, labor resources, and level of urbanization. There is, however, a variation in the intensity of the effect of each factor, with industrial structure and labor resources being the major factors contributing to inter-regional differences. Nevertheless, the improved level of government management somewhat moderated the differences between regions.
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单位桂林理工大学
