Research Institute of Quantitative Economics, Zhejiang Gongshang University, Hangzhou, China.
School of Economics, Zhejiang Gongshang University, Hangzhou, China.
Environ Sci Pollut Res Int. 2023 Jan;30(4):9642-9657. doi: 10.1007/s11356-022-22552-5. Epub 2022 Sep 3.
Using panel data from 30 provinces and cities in China over the period 2013-2019, we intend to explore the mechanism and regional heterogeneity of the influence of digital economy development on carbon emissions. Specifically, this relationship is analyzed by including the geographical variable coefficient model into the chain mediation effect model, taking spatial correlation and heterogeneity into account. The results indicate that the digital economy decreases carbon emissions by enhancing energy intensity, but raises carbon emissions by fostering economic expansion, making digital economy a net contribution to carbon emissions. Moreover, the effect of the digital economy on carbon emissions varies by geographic location. For instance, the total impact is the greatest in northern China, followed by the southwest and southeast, and relatively minor in the northwest and south. Our findings contribute to the existing research and offer policymakers with a theoretical reference, allowing them to customize carbon reduction plans to local conditions.
利用 2013-2019 年中国 30 个省、市的面板数据,本文旨在探讨数字经济发展对碳排放影响的作用机制和区域异质性。具体来说,我们通过在连锁中介效应模型中纳入地理变量系数模型,考虑了空间相关性和异质性,对这一关系进行了分析。结果表明,数字经济通过提高能源强度来减少碳排放,但通过促进经济扩张来增加碳排放,从而使数字经济对碳排放产生净贡献。此外,数字经济对碳排放的影响因地理位置而异。例如,其总影响在北方最大,其次是西南和东南,在西北和南方相对较小。我们的研究结果丰富了现有研究,并为政策制定者提供了理论参考,使他们能够根据当地情况制定碳减排计划。