Zhuang Dingpeng, Liao Dongsheng
This paper constructs a new quality productivity indicator system is constructed from three aspects:new workers,new means of production,and new labor objects,with a total of 25 sub indicators.The AHP-Entropy Method-Game Theory combined weighting method was used to measure the development level of new quality productivity in 30 provinces(regions,municipali-ties)of China from 2010 to 2022.The Kernel density estimation,Dagum Gini coefficient and decomposition method,Moran's I index,and convergence models were utilized to analyze the evolution patterns and convergence of new quality productivity in China and its three major regions.The research results indicate that the level of new quality productivity in China continues to rise in all regions,especially in the eastern region,which surpasses the national average and the central and western regions.However,in terms of regional differences,the disparity in new quality productivity is widening,primarily due to inter-regional differences.In terms of spatial evolution,there is a significant positive spatial correlation and spatial agglomeration characteristics in the new quality productivity of each region,but the agglomeration effect is weakening year by year.Regarding convergence,there is no apparent σ convergence in new quality productivity at the national and regional levels,but there is β convergence,with the western region exhibiting the fastest convergence rate.