ORIGINAL RESEARCH
Study on the Temporal and Spatial Pattern
of Carbon Emissions and Influencing Factors
in the Context of the Digital Economy
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1
School of Management, Universiti Sains Malaysia, George Town 11800, Malaysia
2
School of Economics, Jinan University, Guangzhou 510632, China
Submission date: 2024-03-24
Final revision date: 2024-05-02
Acceptance date: 2024-05-14
Online publication date: 2024-09-04
Corresponding author
Pengzhen Liu
School of Economics, Jinan University, Guangzhou 510632, China
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ABSTRACT
The digital economy drives China’s high-quality economic growth and reduces carbon emissions.
Urban carbon emissions reduction is crucial to China’s “dual carbon” development goal and climate
change adaptation. Spatial econometric modeling, standard deviation ellipse analysis, kernel density
estimation, the Moran index, and Moran’s index are used to study the effects of the digital economy
on provincial carbon emissions in 30 Chinese provinces from 2012 to 2021. The study found that:
(1) The digital economy has shown a rising trend over time, with the spatial distribution of “eastcenter-
west” decreasing in space. Carbon emissions, on the other hand, show a decreasing trend, with
a spatial distribution characterized by a high north and a low south. (2) As measured by the standard
deviation ellipse model, the digital economy and carbon emissions have decreasing ellipse areas,
with the former’s centers of gravity moving northward and the latter’s southward, indicating that
their spatial agglomeration characteristics are growing. (3) The spatial Durbin model examined how
the digital economy affects carbon emissions. The digital economy is reducing carbon emissions
in China significantly. A national spatial spillover effect was also detected, with surrounding provinces’
carbon emissions being negatively affected.