Decomposition and Convergence Analysis of Differences in Digital Technology Efficiency in Coastal Cities
In the field of digital technology,there is a big gap between the development level of coastal cities.Analyzing the source of digital technology efficiency differences and convergence characteristics can help to accelerate the construction of China's"smart marine city".To this end,based on the panel data of 53 coastal cities from 2013-2019,this paper constructs an in-put-output analysis framework,utilizes the super-efficient SBM model based on non-expected outputs and the Malmquist index for static and dynamic measurements of digital technology effi-ciency,and based on the different administrative levels,utilizes the Kernel density estimation method,Dagum Gini coefficient,the σconvergence and βconvergent to study the dynamic evolu-tion,difference decomposition and convergence analysis of digital technology efficiency in coastal cities.The results show that(1)the digital technical efficiency of coastal cities is in a fluctuating upward trend,mainly pulled by technological progress,among which the digital technical efficiency of Shanghai has reached the DEA effective state stably.(2)There is a tend-ency for the overall digital technical efficiency difference of coastal cities to expand,mainly caused by inter-regional differences,and the distribution has obvious right trailing characteris-tics,and there is a tendency to move to the right.(3)The β convergence characteristics of digital technology efficiency in coastal cities are obvious,and there is no a convergence.The re-search in this paper provides theoretical support and empirical evidence for the improvement of digital technology efficiency in coastal cities and the construction of"smart ocean city".
Digital technology efficiencyCoastal citiesKernel density estimationDagum Gini CoefficientConvergence analysis
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