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...

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Bibliographic Details
Published inHai yang kai fa yu guan li Vol. 41; no. 4; pp. 50 - 62
Main Authors Jinsheng SHEN, Yue LI
Format Journal Article
LanguageChinese
Published Editorial Office of Ocean Development and Management 01.04.2024
Subjects
coastal cities
convergence analysis
dagum gini coefficient
digital technology efficiency
kernel density estimation
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Summary: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 input-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 efficiency, and based on the different administrative levels, utilizes the Kernel density estimation method, Dagum Gini coefficient, the σ convergence and β convergent to study the dynamic evolution, 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 t
ISSN:1005-9857