The Impact of the Digital Economy on the Coordinated Development of"Environment-Economy"in Urban and Rural Areas
Utilizing provincial panel data from China over the period from 2013 to 2020,this study measures the level of coordinated development between the digital economy and"environment-economy"by employing the entropy weight method and the coupling coordination model.It further applies panel fixed-effects models,mediating effect models,and threshold effect models to empirically test the effects and mechanisms through which the digital economy influences the coordinated development of"environment-economy".The findings indicate:Firstly,the digital economy significantly promotes the coordinated development of"environment-economy"in urban and rural areas.Specifically,urban areas exhibit a"reverse U-shaped"pattern with pro-nounced impacts in central,western,and northeastern regions,contrasting with the eastern region.Conversely,rural areas display a"U-shaped"pattern,with notable effects in the east and northeast,but not in the central and western regions.Secondly,in urban contexts,the advancement of industrial structures and technological innovation emerge as crucial factors in mediating the digital economy's role in"environment-economy"coordi-nation,with industrial upgrading presenting threshold effects.In rural scenarios,industrial upgrading,techno-logical innovation,and regulatory oversight collectively underpin the digital economy's impact,devoid of threshold effects.The study emphasizes the necessity for tailored digital economy strategies that capitalize on local competitive edges,foster ongoing industrial evolution and technological progress,and reinforce regulatory frameworks.It advocates for the holistic development of"digital villages"along with"smart cities,"exploiting the digital economy's potential to steer coordinated"environment-economy"development via urban-rural integration.
digital economycoordinated development of"environment-economy"in urban and rural areasentropy weight methodcoupling coordination modelmediating effect