Measurement and Spatial Differences of the High Quality Development Level of China's Industrial Economy
Based on the combing of related literature,and taking the new development concept as the theoretical basis,the entropy weight-TOPSIS method was used to construct the index system for the high-quality development of China's industrial economy on the panel data of 30 provinces(excluding Tibet,Hong Kong,Macao,and Taiwan)in China from 2011 to 2020,and analysed with the help of Dagum's Gini coefficient.Subsequently,the methods of stochastic kernel density estimation and spatial Markov chain are used to deeply analyse the spatio-temporal evolution law of the high-quality development of China's industrial economy.The results of the study show that,in terms of temporal evolution,the high-quality development of China's industrial economy shows obvious regional imbalances,and the high-quality development indexes between different regions are also very different.However,with the passage of time,this imbalance is gradually decreasing,and the level of industrial development in each region is gradually improving;there is an imbalance in the high-quality development of the industrial economy in each province,and this imbalance is mainly reflected in the differences between regions.In particular,there is an obvious gap between the degree of industrial economic development in the eastern region and the central region;from the point of view of the spatial distribution characteristics,the characteristics of high-quality development of China's industrial economy differ markedly,showing a strong club convergence phenomenon.At the same time,there is a positive"spillover effect".
high-quality development of industrial economyentropy weight-TOPSISDagum Gini coefficientspatial Markov chain
NETL
NSTL
万方数据
