基于GMM-SL-SAR-RE模型对中部地区478个县2008—2020年度的经济韧性进行测度,运用地理探测器模型对其空间分异格局及驱动因素进行研究。结果表明：①中部地区县域经济韧性在空间上呈现“东西部较高—中部较低”的凝聚分布特征,2008年国际金融危机和2019年新冠疫情引发了研究区县域经济韧性的波动。②县域经济韧性主要受产业结构方面的影响,随着县域经济发展质量的提升,其主要驱动因子出现从“效率性”要素向“综合性”要素转变的规律,政府支出、资金获得、人力资源等因素的驱动作用逐步增强。③县域经济韧性是以土地流转、制造业发展水平为基础,固定资产投资、资金获得和服务业发展水平等多重要素交互作用的结果。产业优化、政府协同、基础设施建设和金融支持等对提升县域经济韧性具有重要作用。
Based on the GMM-SL-SAR-RE model,this paper measures the economic resilience of 478 counties in central China from 2008 to 2020. It analyzes the spatial divergence pattern and its driving factors by using the GeoDetector. The results show that: 1) The economic resilience of the counties in the central region shows a cohesive distribution,which is higher in the eastern and western regions,and lower in the central region. The international financial crisis in 2008 and the COVID-19 pandemic caused fluctuations in the economic resilience of the counties in the research area. 2) The industrial structure mainly influences the economic resilience of counties. As the quality of the county's economic development improves,the main driving factors change from "efficiency" factors to "comprehensive" factors. the driving role of government spending,access to capital,and human resources is gradually increasing. 3) County economic resilience results from the interaction of multiple factors,such as fixed asset investment,access to capital,and service industry development,based on the land transfer and the level of manufacturing development. Industrial optimization,governmental synergy,infrastructure construction,and financial support play an important role in enhancing the county's economic resilience.
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