Research on Regional Differences and Spatial Dynamic Evolution of Green Efficiency of China's Provincial Service Industry
DOI:
https://doi.org/10.54097/fbem.v7i3.5449Keywords:
Green efficiency of the service industry, Dagum Gini coefficient, Spatial Markov chain, SBM-DDF integration model.Abstract
In order to achieve the goal of "Peak Carbon Dioxide Emissions and Carbon Neutrality" as scheduled, China's service industry must achieve green development. In this paper, we use the super-efficiency SBM-DDF integration model to measure the green efficiency of the service industry in 30 provinces in China during 2011-2019. On the basis of the green efficiency level of the service industry, the Dagum Gini coefficient and the spatial Markov chain are used to analyze the source of the regional gap and the spatial dynamic evolution of the green efficiency of the service industry in China's four major regions. The results suggest that: (1) The overall green efficiency of China's service industry is increasing, and there is significant heterogeneity among regions. (2) The green efficiency of China's service industry has obvious characteristics of spatial differentiation. Regional differentiation is the main source of its spatial differentiation, and the contribution rate of over-density is the lowest. (3) The provinces with high service industry efficiency in China have a positive radiation effect on the green efficiency of the service industry in surrounding provinces, while the provinces with low-efficiency levels will have a certain inhibitory effect on the green efficiency of the service industry in surrounding provinces.
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