Measurement and Spatiotemporal Evolution of Common Prosperity Level in China at the Provincial Level
Common prosperity is the essential requirement of socialism and an important feature of Chinese-style modernization.According to the connotation,direction and path of common prosperity,this paper takes 31 provincial-level regions of China from 2012 to 2020 as the research object,and constructs the evaluation index system of common prosperity level.It uses the entropy method to measure the process of common prosperity in 31 provincial-level regions of China.The results show that:1)From 2012 to 2020,China's common prosperity has shown phased development,the trend of the common prosperity process is positive in China.2)From the perspective of spatial evolution,the number of provincial-level regions with low-level-common prosperity decreases significantly over time,the number of provincial-level regions with medium-level common prosperity increases the fastest,and the number of provincial-level regions with high-level common prosperity increases significantly.3)From the perspective of evolution direction,the development direction of the provincial-level regions with medium-level common prosperity develops from the southeast of China to the northwest of China,and the provincial-level regions with high-level common prosperity first expand to the south of China from the eastern coastal provinces,and gradually extend to the northwest of China in 2020.4)From the perspective of the regional disparities,the dispersion degree of common prosperity has an expanding trend in the whole country,the central region and the western region,while it has a significantly decreasing trend in eastern region.In addition to the intensified polarization in the western region,the polarization phenomenon in other regions has significantly eased.From the perspective of long-term evolution trend,all provincial-level regions in China will shift to a high-level common prosperity.
common prosperityregional disparityhigh-quality developmentmiddle income groupfarmers and rural areasevaluation index systemevolution trend
万方数据
维普
