Statistical Measurement and Spatiotemporal Evolution of China's Rural Industrial Resilience
The development of rural industry is faced with both internal and external impacts.Enhancing the resilience of ru-ral industry and promoting the sustainable development of rural industry have become major issues in the rural revitalization strat-egy.By explaining the theoretical implication of rural industrial resilience,this paper constructs a rural industrial resilience com-prehensive evaluationindex system,then on this basis,uses the provincial panel data from 2008 to 2020 to measure the rural in-dustrial resilience of 30 provinces in China,and finally employs the kernel density estimation,Moran's I and Dagum Gini coeffi-cient to discuss the spatiotemporal evolution characteristics and regional differences of rural industrial resilience in China.The findings are as follows:(1)From 2008 to 2020,the rural industrial resilience of the whole country and the three major regions shows a fluctuating upward trend,and the rural industrial resilience of the eastern region is the highest.(2)the spatial distribution pattern of China's rural industrial resilience is relatively stable,showing a spatial distribution pattern of"strong in the east and weak in the west".(3)The spatial agglomeration mode of China's rural industrial resilience is dominated by the"high-low"or"low-high"agglomeration.(4)The overall difference of china's rural industrial resilience shows an expanding trend,and the con-tribution rate of inter-regional difference to the overall difference is the largest,followed by intra-regional difference,and the con-tribution rate of super-variable density is the least.
rural industrial resiliencespatiotemporal evolutionregional differencekernel density estimationDagum Gini coefficient
万方数据
维普
