The impact of the urban digital economy on China's carbon intensity: Spatial spillover and mediating effect

•The development level of digital economy at the city level in China was estimated.•There is a significant inverted U-shaped relationship between digital economy and carbon emission intensity•Digital economy has a nonlinear spatial spillover effect.•Technological innovation and industrial structure...

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Vydáno v:Resources, conservation and recycling Ročník 189; s. 106762
Hlavní autoři: Cheng, Yu, Zhang, Yue, Wang, Jingjing, Jiang, Jinxing
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.02.2023
Témata:
carbon
Carbon intensity
China
Digital economy
emissions factor
Industry structure
Internet
Mediating effect
Spatial spillover
Technological innovation
China
Industry structure
Technological innovation
Carbon intensity
Spatial spillover
Digital economy
Mediating effect
ISSN:0921-3449, 1879-0658
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Shrnutí:•The development level of digital economy at the city level in China was estimated.•There is a significant inverted U-shaped relationship between digital economy and carbon emission intensity•Digital economy has a nonlinear spatial spillover effect.•Technological innovation and industrial structure are two indirect influence paths. The development and expansion of the digital economy, including the internet, big data, and cloud computing, provide a new impetus to reaching peak carbon emissions and achieving carbon neutrality. However, the impact and mechanism of the urban digital economy on carbon intensity are still insufficiently characterized. This study confirms a significant inverted U-shaped relationship between them by adding a quadratic term and conducting a U test. When the index of the digital economy exceeds 0.419, it reduces carbon emissions intensity. The empirical results indicate that the digital economy has a nonlinear spatial spillover effect on the carbon emission intensity of adjacent cities presenting a U-shape. The digital economy can not only directly affect carbon emission intensity, but also indirectly affects it by optimizing industrial structure and promoting scientific and technological innovation. The methodology of this paper can be used for future research, and the findings can support the regional development of the digital economy and the formulation of carbon reduction policies.
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ISSN:0921-3449
1879-0658
DOI:10.1016/j.resconrec.2022.106762