AUTHOR=Zhang Hao , Qi Rui , Liu Yingyue , Wang Tiantian , Zhong Feng , Zhou Qian , Wang Keying
TITLE=The spatial impact of digital economy on carbon emissions reduction: evidence from 215 cities in China
JOURNAL=Frontiers in Environmental Science
VOLUME=12
YEAR=2024
URL=https://www.frontiersin.org/journals/environmental-science/articles/10.3389/fenvs.2024.1370938
DOI=10.3389/fenvs.2024.1370938
ISSN=2296-665X
ABSTRACT=Introduction: Within the global framework of carbon emissions constraints, the digital economy has become a new strategy for cities to achieve sustainable development. Scholarly literature exploring the spatial spillover and spatial mechanisms of the digital economy on carbon emissions is notably scarce.
Methods: To estimate the spatial impact of digital economy on carbon emissions, this paper conducted spatial analysis with the spatial Dubin model and panel data of 215 cities in China from 2011 to 2019.
Results: The results show that there is a growing regional agglomeration of the digital economy, whereas the spatial evolution of carbon emissions displays low liquidity and high stability. Second, the digital economy directly reduces urban carbon emissions, and this conclusion is supported through a series of robustness tests. However, there exist negative spatial spillover effects of digital economy on carbon emissions reduction in neighboring cities. Third, mechanism analysis reveals that the digital economy mainly affects urban carbon emissions through two paths: industrial structure upgrading and green technology innovation. Moreover, the influence of digital economy exhibits heterogeneity, with a more pronounced effect observed in the central cities and in large and medium-sized cities, as well as in cities with a high agglomeration of the new energy industry.
Discussion: Our paper not only presents new documentary evidence for understanding the relationship between digitalization and decarbonization, but also provides specific references for policy making to accelerate low-carbon urban development.