Can the digital economy development achieve the effect of pollution reduction? Evidence from Chinese Cities

被引:0
作者
Qiuqiu Guo
Xiaoyu Ma
Jingrui Zhao
机构
[1] Xinjiang University,School of Economics and Management
[2] Shanxi Normal University,School of Economics and Management
来源
Environmental Science and Pollution Research | 2023年 / 30卷
关键词
Digital economy; Pollution reduction effect; Industrial sulfur dioxide; Industrial wastewater; Industrial soot and dust; PM2.5;
D O I
暂无
中图分类号
学科分类号
摘要
As a new economic form, the digital economy is not only empowering new impetus to economic growth, but also reshaping specific business forms of economical operation. Therefore, we conducted an empirical test to verify the impact and mechanism of pollution reduction in the digital economy, based on the panel data of 280 prefecture-level cities in China from 2011 to 2019. The results show that, first the development of the digital economy indeed has the positive effect of realizing pollution reduction. The results of mediating effect test indicate the influence mechanism mainly rely on promoting the upgrading of industrial structure (structural effect) and upgrading the level of green technology innovation (technical effect). Second, the results of regional heterogeneity analysis show that the emission reduction effect of digital economy development on four pollutants is characterized by weakness in the east and strong in the west in regional distribution. Third, the development of digital economy has a threshold effect on the level of economic development to achieve its pollution reduction effect. Further identification of the threshold effect indicates that the higher the level of economic development, the better in emission reduction effect.
引用
收藏
页码:74166 / 74185
页数:19
相关论文
共 262 条
[1]  
Adeel-Farooq RM(2021)Improving the environment begins at home: Revisiting the links between FDI and environment Energy 215 119150-72
[2]  
Riaz MF(2010)The impact of social factors and consumer behavior on carbon dioxide emissions in the United Kingdom: A regression based on input− output and geodemographic consumer segmentation data J Ind Ecol 14 50-73226
[3]  
Ali T(1986)The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations J Pers Soc Psychol 51 1173-239
[4]  
Baiocchi G(2022)Digital economy development and haze pollution: Evidence from China Environ Sci Pollut Res 29 73210-377
[5]  
Minx J(2020)Renewable energy consumption and economic growth nexus: Evidence from a threshold model Energy Policy 139 111295-1418
[6]  
Hubacek K(2022)Digital economy and its spatial effect on green productivity gains in manufacturing: Evidence from China J Clean Prod 378 134539-162
[7]  
Baron RM(2020)Does international trade promote CO2 emission performance? An empirical analysis based on a partially linear functional-coefficient panel data model Energy Econ 92 104983-76
[8]  
Kenny DA(2007)Required sample size to detect the mediated effect Psychol Sci 18 233-368
[9]  
Che S(1995)Economic growth and the environment Q J Econ 110 353-90886
[10]  
Wang J(2022)The effect of social sphere digitalization on green total factor productivity in China: Evidence from a dynamic spatial Durbin model J Environ Manag 320 115946-1392