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Title Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective
ID_Doc 62399
Authors Yu, HY; Wang, JC; Xu, JJ; Ding, BH
Title Does digital economy agglomeration promote green economy efficiency? A spatial spillover and spatial heterogeneity perspective
Year 2024
Published
DOI 10.1007/s10668-023-04197-7
Abstract The digital economy has been booming in China in recent years and is characterized by spatial agglomeration. However, there is little literature examining the impact of the digital economy from the perspective of agglomeration, especially in the field of environmental economics. This paper explores the spatial spillover effects and spatial heterogeneity of digital economy agglomeration (DIG) on green economic efficiency (GEE). Using provincial panel data of China from 2011 to 2020, this paper constructs a digital economy indicator system and calculates the degree of DIG. Using the static and dynamic spatial Durbin models and geographic and time-weighted regression (GTWR) method, the spatial effects of DIG on GEE and its mechanism were investigated. The results indicate that: (1) the indirect and total effects of DIG on GEE are significantly positive, both in the short and long term, but the direct effects are not significant. (2) DIG influences GEE through green technological innovation and industrial structure upgrading. (3) The effect of DIG on GEE is spatial heterogeneity. The minimum value of the coefficient of DIG is - 0.300 and the maximum value is 0.878. (4) DIG in developed and more foreign-invested provinces has a greater contribution to GEE. These findings provide a reference for the government to plan the layout of the digital economy and achieve high-quality green economic development.
Author Keywords Digital economy agglomeration; Green economic efficiency; Spatial Durbin model; GTWR method
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:001231088900008
WoS Category Green & Sustainable Science & Technology; Environmental Sciences
Research Area Science & Technology - Other Topics; Environmental Sciences & Ecology
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