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

被引:13
|
作者
Wang, Huiping [1 ]
Ge, Qi [1 ]
机构
[1] Xian Univ Finance & Econ, Western Collaborat Innovat Res Ctr Energy Econ & R, Xian 710100, Peoples R China
来源
关键词
REGIONAL RESILIENCE; EUROPE; CITIES; CRISIS; IMPACT;
D O I
10.1057/s41599-023-01783-y
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Spatial association network of economic resilience and its influencing factors: evidence from 31 Chinese provinces
    Huiping Wang
    Qi Ge
    Humanities and Social Sciences Communications, 10
  • [2] Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces
    Wang, Huiping
    Liu, Peiling
    RENEWABLE ENERGY, 2023, 217
  • [3] SPATIAL DIFFERENTIATION OF URBAN ECONOMIC RESILIENCE AND ITS INFLUENCING FACTORS: EVIDENCE FROM BAIDU MIGRATION BIG DATA
    Chen, Yu
    LI, Keyang
    Zhou, Qian
    TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY, 2023, 29 (02) : 353 - 381
  • [4] Spatial and temporal variation of economic resilience and its drivers: Evidence from Chinese cities
    Huang, Jie
    Li, Qianqian
    Du, Minzhe
    Chen, Xiaoqing
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 11
  • [5] China's Spatial Economic Network and Its Influencing Factors
    Yu, Guihai
    He, Deyan
    Lin, Wenlong
    Wu, Qiuhua
    Xiao, Jianxiong
    Lei, Xiaofang
    Xie, Zhongqun
    Wu, Renjie
    COMPLEXITY, 2020, 2020
  • [6] Spatial Differences and Influencing Factors of Energy Poverty: Evidence From Provinces in China
    Jia, Wenxing
    Wu, Shengnan
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [7] Did Urban Resilience Improve during 2005-2021? Evidence from 31 Chinese Provinces
    Yang, Tingting
    Wang, Lin
    LAND, 2024, 13 (03)
  • [8] What effects of COVID-19 on regional economic resilience? Evidence from 31 provinces in China
    Meng, Tian
    Tian, Congying
    Zhang, Henglong
    Koo, Chun Kwong
    FRONTIERS IN PUBLIC HEALTH, 2022, 10
  • [9] Spatial-temporal variation of economic resilience and its influencing factors under COVID-19: Evidence from Henan province, China
    Zhou, Xiaobing
    Zhang, Yongling
    Wang, Wei
    Sun, Yiting
    INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2024, 105
  • [10] Spatial correlation network of Chinese-style ecological modernization and its influencing factors
    Wang, Huiping
    Huang, Yuezhan
    ECOLOGICAL INDICATORS, 2025, 172