Bu Han, Li Guomin, Yu Xiangyu, Xun Zhou
School of Economics and Management, Southwest University, China.
School of Economics, Jiangxi University of Finance and Economics, China.
Heliyon. 2023 Jun 28;9(7):e17744. doi: 10.1016/j.heliyon.2023.e17744. eCollection 2023 Jul.
The intelligent revolution caused by new digital technologies has provided new impetus to reduce carbon emissions. However, the current research on new digital technologies and carbon emissions is still in its infancy and lacks empirical conclusions between them. Therefore, this paper studies the impact of new digital technologies on carbon emissions, identifies its mechanism, and analyzes the regional heterogeneity of its effects. This research treats the National Big Data Comprehensive Pilot Zones pilot in China as a quasi-natural experiment for the development of new digital technologies along with city-level data covering from 2011 to 2019 to conduct a staggered difference-in-difference (DID) model analysis. We find that new digital technologies significantly reduce carbon emissions. This conclusion is still valid after a series of robustness tests such as heterogeneity treatment effect analysis, ex-ante trend test, spillover effect test, and placebo test. Additionally, new digital technologies can reduce carbon emissions by promoting the transformation of industrial structure, improving the level of green technology innovation, and promoting industrial agglomeration. At the same time, the heterogeneity analysis shows that new digital technologies' carbon emission reduction effect is more evident in non-western regions, southern regions, and large cities. To expand the carbon emission reduction effect of new digital technologies, the government should promote the development and application of new digital technologies, and implement differentiated policies based on regional characteristics.
新数字技术引发的智能革命为减少碳排放提供了新动力。然而,当前关于新数字技术与碳排放的研究仍处于起步阶段,两者之间缺乏实证结论。因此,本文研究新数字技术对碳排放的影响,识别其作用机制,并分析其影响的区域异质性。本研究将中国国家大数据综合试验区试点作为新数字技术发展的准自然实验,并结合2011年至2019年的城市层面数据,进行交错双重差分(DID)模型分析。我们发现,新数字技术显著降低了碳排放。经过一系列稳健性检验,如异质性处理效应分析、事前趋势检验、溢出效应检验和安慰剂检验后,这一结论仍然成立。此外,新数字技术可以通过推动产业结构转型、提高绿色技术创新水平和促进产业集聚来降低碳排放。同时,异质性分析表明,新数字技术的碳排放减少效应在非西部地区、南部地区和大城市更为明显。为扩大新数字技术的碳排放减少效应,政府应推动新数字技术的发展与应用,并根据区域特点实施差异化政策。