This paper employs the Entropy and TOPSIS methodologies to comprehensively assess the level of provincial economy participating in the domestic economic circulation by utilizing the provincial panel data span-ning from 2013 to 2022 in China from the four dimensions of supply and demand,elements,industrial chains and space.Additionally,it utilizes the Dagum Gini coefficient,kernel density estimation,and spatial Markov chain ap-proaches to analyze the spatial-temporal evolution characteristics of this participation.The key findings are summa-rized as follows:The level of provincial economy participating in the domestic economic circulation exhibits a growth trend and a non-equilibrium distribution pattern,but there is no trend towards differentiation;a club convergence ef-fect is observable in the level of provincial economy participating in the domestic economic circulation,namely,those provinces with low-level participation tend to cluster in"low-level traps"while those with high-level par-ticipation tend to form"high-level monopolies";regions boasting high levels of participation exert positive spill-over effects on their neighboring regions,while those with low levels of participation exert insignificant impacts on their geographical neighbors.Finally,this paper puts forward policy recommendations for promoting smooth domes-tic circulation.
关键词
省域经济/国内大循环/熵权TOPSIS法/Dagum基尼系数/核密度估计
Key words
Provincial economy/Domestic economic circulation/Entropy and TOPSIS method/Dagum Gini coefficient/Kernel density estimation
维普
万方数据