With the help of the exogenous policy impact of the national big data comprehensive pilot zone, a multi-period difference-in-difference model was used to empirically test the impact of big data development on urban low-carbon transformation and its mechanism.The results found that the development of big data significantly reduces the carbon intensity of cities and contributes to the promotion of a low-carbon transition which remained robust after a series of tests such as two-stage difference-in-difference, non-randomized selection, and placebo. In terms of dynamic effects, the policy effects of big data have a certain degree of lag, and show an increasing trend over time. Heterogeneity analysis shows that the development of big data has a better empowerment effect on low-carbon transition of cities in the eastern region and cities with stronger knowledge endowment. Path analysis shows that the development of big data can drive urban low-carbon transition through channels of the technological effect and the structural effect. The former is reflected in the improvement of technological innovation ability and technological diffusion effect, and the latter is reflected in the optimization of industrial structure and energy structure. Further analysis also found that the construction of data rule of law and the advantages of a large domestic market will enhance the carbon reduction effect of big data development. This research provides a useful reference for accelerating the development and application of big data, assisting urban green and low-carbon transition, and achieving the “dual carbon” goal.
ZHANG Ying-ying
,
XU Zhao
,
PENG Shuo-yi
. Research on the impact of big data development on urban low-carbon transition in China[J]. Urban Problems, 2023
, 338(9)
: 34
-43
.
DOI: 10.13239/j.bjsshkxy.cswt.230904
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