Can the Digital Economy Enable Carbon Emission Reduction: Analysis of Mechanisms and China’s Experience
Congqi Wang,
Rui Zhang,
Haslindar Ibrahim and
Pengzhen Liu ()
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Congqi Wang: School of Management, Universiti Sains Malaysia, George Town 11800, Malaysia
Rui Zhang: School of International Trade and Economics, University of International Business and Economics, Beijing 100029, China
Haslindar Ibrahim: School of Management, Universiti Sains Malaysia, George Town 11800, Malaysia
Pengzhen Liu: School of Economics, Jinan University, Guangzhou 510632, China
Sustainability, 2023, vol. 15, issue 13, 1-20
Abstract:
With the continuous advancement of global scientific and technological capabilities, the issue of global warming caused by greenhouse gas emissions has received widespread attention from countries worldwide. Promoting carbon reduction and curbing the trend of global warming have become urgent and significant challenges for China and the world. Therefore, it is of great practical significance to explore the impact and mechanism of the digital economy on carbon reduction. This paper empirically analyzes the impact and means of the digital economy on carbon emissions using panel regression models and mediation effect models. The research indicates that the digital economy significantly impacts carbon emissions, and the following main conclusions are drawn: (1) The influence of the digital economy on carbon intensity exhibits an inverted U-shaped curve, starting with promotion and then inhibition. (2) The digital economy can affect carbon emissions through industrial structural upgrading and technological innovation. (3) Regions with a relatively high level of digital economy development also tend to have higher energy utilization efficiency, leading to a more pronounced impact of the digital economy on carbon emissions levels.
Keywords: digital economy; carbon reduction; mediating effects; heterogeneity (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)
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