| Title |
Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
| ID_Doc |
62720 |
| Authors |
Zhao, SQ; Peng, DY; Wen, HW; Wu, YZ |
| Title |
Nonlinear and spatial spillover effects of the digital economy on green total factor energy efficiency: evidence from 281 cities in China |
| Year |
2023 |
| Published |
Environmental Science And Pollution Research, 30, 34 |
| DOI |
10.1007/s11356-022-22694-6 |
| Abstract |
Although the digital economy has become a new driving force for development worldwide, it is still unclear how digital economy development affects green total factor energy efficiency (GTFEE). Using panel data from 281 prefecture-level cities in China from 2003 to 2018, this study empirically analyzes the effect of digital economy development on GTFEE by adopting a dynamic panel model, a mediation effect model, a dynamic threshold panel model, and a spatial Durbin model. The empirical results show that digital economy development has a significantly negative direct effect on GTFEE. The digital economy can impact GTFEE by the mechanisms of electrification, hollowing out of industrial scale, and hollowing out of industrial efficiency. Neither innovation nor environmental regulations significantly change this negative impact. The dynamic threshold panel model shows a nonlinear relationship between digital economy development and GTFEE, which indicates that the effect of digital economy development on GTFEE significantly inverts from negative to positive as the digital economy develops. In addition, GTFEE has a significantly positive spatial correlation, and the digital economy has a positive spatial spillover effect on GTFEE. |
| Author Keywords |
Digital economy development; Green total factor energy efficiency (GTFEE); Dynamic panel model; Spatial Durbin model (SDM) |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000846244100011 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
https://link.springer.com/content/pdf/10.1007/s11356-022-22694-6.pdf
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