Gu Runde, Li Chunfa, Yang Yangyang, Zhang Jun, Liu Kai
School of Management, Tianjin University of Technology, Tianjin, 300384, China.
School of Mathematical Science, Huaibei Normal University, Huaibei, 235000, China.
Environ Sci Pollut Res Int. 2023 Mar;30(14):41644-41664. doi: 10.1007/s11356-023-25140-3. Epub 2023 Jan 13.
Under the "Digital China" strategy and "Carbon Peaking and Carbon Neutrality" goal, it is significant to explore the carbon reduction effect from the digital economy development in a multi-dimensional way. Based on the panel data of 13 cities in the Beijing-Tianjin-Hebei (BTH) region from 2011 to 2019, this study uses mechanism test model, threshold effect model, and spatial Durbin model which empirically test the influence mechanism and spatial spillover effect of digital economy development on regional CEI. The research found that (1) the digital economy development in the BTH region can reduce regional CEI, and it passes the endogenous test; (2) the digital economy indexes of 13 cities in the BTH region have significantly increased with time evolution, but there is obvious spatial unevenness; the CEI of each city except Tianjin decreases significantly with time evolution, and Tianjin shows a trend of decreasing and then increasing; (3) digital economy has a positive spatial correlation, showing the characteristics of "H-H" and "L-L" clustering. Furthermore, the digital economy has a spatial spillover effect on the CEI of neighboring cities; (4) the digital economy development can promote the industrial structure rationalization and upgrade, improves the urban green innovation quantity and quality, then reduces the regional CEI through them; and (5) the impact strength of digital economy on CEI varies at different threshold intervals of the mechanism variable.
在“数字中国”战略和“碳达峰、碳中和”目标背景下,从多维度探究数字经济发展的碳减排效应具有重要意义。基于2011—2019年京津冀地区13个城市的面板数据,本研究运用机制检验模型、门槛效应模型和空间杜宾模型,实证检验数字经济发展对区域碳排放强度的影响机制和空间溢出效应。研究发现:(1)京津冀地区数字经济发展能够降低区域碳排放强度,且通过了内生性检验;(2)京津冀地区13个城市的数字经济指数随时间演变呈显著上升趋势,但存在明显的空间不均衡性;除天津外各城市的碳排放强度随时间演变呈显著下降趋势,天津呈现先下降后上升的趋势;(3)数字经济存在正向空间相关性,呈现“高—高”和“低—低”集聚特征。此外,数字经济对邻近城市的碳排放强度具有空间溢出效应;(4)数字经济发展能够促进产业结构合理化与高级化,提升城市绿色创新数量与质量,并通过二者降低区域碳排放强度;(5)数字经济对碳排放强度的影响力度在机制变量的不同门槛区间存在差异。