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How does digitalization drive carbon emissions? The inverted U-shaped effect in China.

Authors :
Zheng, Ruijing
Wu, Ge
Cheng, Yu
Liu, Haimeng
Wang, Yaping
Wang, Xinyang
Source :
Environmental Impact Assessment Review; Sep2023, Vol. 102, pN.PAG-N.PAG, 1p
Publication Year :
2023

Abstract

Digitalization has become an engine driving industrial transformation and social change; however, the impact on carbon emissions during digital transformation remains poorly understood. We used the Tencent Digitalization Index based on big data to explore the effects of digital development on carbon emissions in China's 281 cities. The results show that the impact of digitization on carbon emissions follows an inverted U-curve in China, supported by a series of robustness tests. Considering city geographical location and resource endowment, this non-linear effect of digitalization on carbon emissions is more significant in eastern and non-resource-based cities. The inverted U-shaped impact of digitalization in central and western cities is not significant and resource-based cities have not yet reached the carbon reduction inflection point. Spatial spillover analysis indicates that digitalization will reduce carbon emissions of neighboring cities in the mature digital period. Digitalization also affects carbon emissions by promoting industrial structure upgrading and economic development. Understanding the relationship between digitalization and carbon emissions is a key ingredient for urban sustainable transformation, representing crucial knowledge for building climate-resilient cities and for policy-making. • A big data-based index is used to measure digitization from four dimensions. • The impact of digitization on carbon emissions presents an inverted U-shaped curve. • Heterogeneous effects are explored in terms of geographic location and resource endowment. • Digitalization has an inverted U-shaped spatial spillover effect on carbon emissions. • Identify digitalization affects carbon emissions through two channels. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01959255
Volume :
102
Database :
Supplemental Index
Journal :
Environmental Impact Assessment Review
Publication Type :
Academic Journal
Accession number :
169705040
Full Text :
https://doi.org/10.1016/j.eiar.2023.107203