How Big Data Affect Urban Low-Carbon Transformation—A Quasi-Natural Experiment from China

Ning Xu, He Zhang (), Tixin Li (), Xiao Ling and Qian Shen
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Ning Xu: School of Political Science and Public Administration, Henan Normal University, Xinxiang 453007, China
He Zhang: State Information Center, Beijing 100045, China
Tixin Li: School of Economics and Management, Kunming University, Kunming 650214, China
Xiao Ling: School of Business, Hubei University, Wuhan 430062, China
Qian Shen: Finance Department, Guangdong University of Finance & Economics, Guangzhou 510320, China

IJERPH, 2022, vol. 19, issue 23, 1-16

Abstract: As a new factor of production, data play a key role in driving low-carbon and sustainable development relying on the digital economy. However, previous studies have ignored this point. Based on the panel data of 283 cities in China from 2007 to 2019, we investigated the construction of national big data comprehensive pilot zones (NBDCPZs) in China as a quasi-natural experiment, using the difference-in-differences (DID) model to empirically test the impact of NBDCPZ policies on urban low-carbon transformation. The following conclusions can be drawn: NBDCPZ construction significantly promotes urban low-carbon transformation, and a series of robustness analysis supports this conclusion. NBDCPZ constructions mainly promotes urban low-carbon transformation by stimulating urban green innovation and optimizing the allocation of urban resource elements. Compared with eastern cities, small and medium-sized cities, and resource-based cities, the construction of NBDCPZs can promote the low-carbon transformation of cities in central and western China, large cities, and non-resource-based cities. Further analysis shows that the construction of NBDCPZs can only improve the low-carbon transformation of local cities, with negative spatial spillover effects on the low-carbon transformation of surrounding cities. Therefore, in the future, it is vital to consider the promotion effect of the construction of NBDCPZs on the low-carbon transformation of local cities and prevent its negative impact on the low-carbon transformation of surrounding cities.

Keywords: national big data comprehensive pilot zone; urban low-carbon transformation; difference-in-differences model; green innovation; resource elements allocation; spatial spillover effect (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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