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

Economics

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

H. Wang and Q. Ge

This paper by Huiping Wang and Qi Ge delves into the intriguing spatial correlation of economic resilience across 31 Chinese provinces between 2012 and 2020. Discover how geographical proximity and human capital interlink, while external factors can create challenges in this fascinating landscape of economic dynamics.

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Playback language: English
Abstract
This paper investigates the spatial correlation of economic resilience across 31 Chinese provinces from 2012 to 2020. It measures economic resilience, explores its spatial correlation from various perspectives, and identifies influencing factors. Key findings reveal a hierarchical structure of resilience, with Jiangsu, Shandong, Guangdong, Hubei, and Shaanxi as crucial clustering points. Neighboring provinces' resilience influences a province's centrality, with adjacency to marginal or core provinces maintaining stability and adjacency to sub-core or general provinces increasing upward mobility. The study also finds that geographical proximity and human capital drive spatial association networks, while external openness and physical capital differences inhibit them.
Publisher
Humanities and Social Sciences Communications
Published On
Jun 05, 2023
Authors
Huiping Wang, Qi Ge
Tags
economic resilience
spatial correlation
Chinese provinces
influencing factors
human capital
geographical proximity
external openness
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