Spatial-temporal Pattern and Differentiation Mechanism of the Coupling Coordination between Digital Economy and Green Development
Synergizing the digital economy with green development is essential for high-quality development.On the ba-sis of clarifying the coupling coordination mechanism,this paper uses the coupling coordination degree model,Markov Chain and Geographically and Temporally Weighted Regression(GTWR)model to analyze the spatial-temporal pattern and differentiation mechanism of the coupling coordination between China's digital economy and green development.The results showed that,firstly,during the research period,the coupling coordination degree between digital economy and green development of the whole country and various regions continued to improve,but only six provinces and mu-nicipalities including Beijing,Shanghai,Jiangsu,Zhejiang,Guangdong and Sichuan have entered the stage of good coordi-nation.Secondly,from the spatial pattern,the overall coupling coordination degree shows a gradient decrease from"east-central-west",and the provincial area shows a"concentration 3 of low value,dispersion of high value"distribu-tion,and presents a"northeast-southwest"trend with Henan as the center.Thirdly,from the dynamic evolution,the change of coupling coordination has a"path-dependent"effect,and the Club Convergence phenomenon of"high pull low,low inhibit high"is formed by the Spatial Spillover Effect of"being kind to neighbors"and"being troublesome to neighbors".And fourthly,the mechanism analysis shows that human capital and urbanization have had significant im-pacts on the coordinated development between digital economy and green development in all areas,and industrial struc-ture plays a gradually increasing in promoting the Western Area,while scientific and technological innovation has a more obvious impact on the Eastern and Central Areas.
digital economygreen developmentcoupling coordination degreespatial-temporal patterndynamic evolu-tionGTWR model
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