Decomposition and Influential Factor Analysis of Differences of High-Quality Economy Development Level in China
The high-quality economic development(HQED)level is measured in five aspects based on the order-preserving principal component evaluation method,and then it uses Dagum Gini coefficient and weighted coefficient of variation squared to spatially and structurally decompose the differences of HQED level and explores the influencing factors.Research conclusions:For the HQED level,Beijing,Shanghai,Tianjin rank among the top 3;the three regions have improved year by year as a whole,decreasing from east to west,and the eight economic regions have also improved year by year;the eastern and southern coasts rank among the top 2,while the southwest and northwest regions are relatively backward.The epidemic situation has less impact on the HQED level,but has greater impact on economic growth;the high quality level of economy has aggregation effect,and the regional difference is large but has a downward trend;from the perspective of structural decomposition,structural optimization contributes the most to the difference of the HQED level;economic growth has the strongest explanatory power for high-quality differences in the economy,followed by structural optimization.Coordination and sharing are the weakest but still exceed 86%,while the explanatory power of per capita GDP exceeds 92%,basically representing the HQED level.
high-quality economic developmentGini coefficientweighted coefficient of variationgeographic detector
NETL
NSTL
万方数据
维普
