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Spatial association network of economic resilience and its influencing factors: evidence from 31 Chinese provinces

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  • Huiping Wang

    (Xi’an University of Finance and Economics)

  • Qi Ge

    (Xi’an University of Finance and Economics)

Abstract

The spatial correlation pattern of economic resilience is an important proposition for China’s sustainable economic development. This paper measures the economic resilience of 31 provinces in China from 2012 to 2020, and explores the spatial correlation of economic resilience from the overall, group and individual perspectives and its influencing factors. The results show that first, a tightly ordered hierarchy of economic resilience formed in each province of China after 2016. Among them, Jiangsu, Shandong, Guangdong, Hubei, and Shaanxi are the most important clustering points and radiation centers in the spatial correlation framework of economic resilience. Second, being adjacent to marginal and core provinces will maintain the province’s centrality index category to the greatest extent, while being adjacent to sub-core and general provinces leads the province to gain more opportunities for upward transfer. Third, the essence of the interprovincial economic resilience subordination linkage in China is manifested in the aggregation of city clusters or economic circles. The northern economic resilience linkage system with the Bohai Rim as the core contains more provinces but is less stable. Provinces located in the Yangtze River Delta region are the opposite. Fourth, the proximity of geographical location and the difference in human capital level drive the formation of spatial association networks, while the difference in external openness and the difference in physical capital inhibit the formation of networks.

Suggested Citation

  • Huiping Wang & Qi Ge, 2023. "Spatial association network of economic resilience and its influencing factors: evidence from 31 Chinese provinces," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:10:y:2023:i:1:d:10.1057_s41599-023-01783-y
    DOI: 10.1057/s41599-023-01783-y
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