| Based on the panel data of 30 provinces from 2009 to 2019, construct an indicator system of China's rural revitalization level,use the entropy weight method, the Dagum Gini coefficient method, and the Kernel density estimation method to explore the regional disparities and dynamic evolution characteristics of China's rural revitalization level systematically. The research shows that the rural revitalization level of the whole country and the three regions has been significantly improved. On average, the east is the largest, the middle is in the middle, and the west is the smallest. From the perspective of growth rate, the west is the largest, the middle is in the middle, and the east is the smallest. Overall disparities, intra-regional and inter-regional disparities have all shown a significant downward trend. From the perspective of intra-regional disparity, the west is the largest, the east is the middle, and the middle is the smallest. From the perspective of the inter-regional disparity, the disparity between east and west is the largest, the gap between east and middle is in the middle, and the gap between middle and west is the smallest. The main source of the overall disparity is the inter-regional disparity, followed by the intra-regional disparity, and finally the hypervariable density. From the perspective of the dynamic evolution, the disparity between the whole country and the three major regions has gradually narrowed, the polarization phenomenon does not exist in the whole country and the eastern region, the polarization phenomenon in the central region has been improved, and the polarization phenomenon in the western region has gradually become prominent. Improving the level of rural revitalization in the central and western regions and narrowing the inter-regional disparity has become an important way to promote the coordinated development of rural revitalization. |