| Title |
Going green in China: how does digital finance affect environmental pollution? Mechanism discussion and empirical test |
| ID_Doc |
62456 |
| Authors |
Du, MY; Hou, YF; Zhou, QJ; Ren, SY |
| Title |
Going green in China: how does digital finance affect environmental pollution? Mechanism discussion and empirical test |
| Year |
2022 |
| Published |
Environmental Science And Pollution Research, 29, 60 |
| DOI |
10.1007/s11356-022-21909-0 |
| Abstract |
With the continuous advancement of the technological revolution and industrial transformation, environmental governance supported by digital finance has become an important engine for achieving carbon neutrality. Based on panel data from 30 provinces in China, this study discusses the spatial spillover effect and transmission mechanism between digital finance and environmental pollution. Our research results confirm that the inhibitory effect of digital finance on local environmental pollution gradually increases with the improvement of digital finance. Interestingly, digital finance has a significant positive spatial spillover effect on environmental pollution in surrounding areas. The mediating effect shows that digital finance can alleviate environmental pollution by improving technological innovation, industrial upgrading and industrial structure rationalization. A higher degree of marketization and governmental support can increase the positive influences of digital finance on pollution reduction. This research proves the effectiveness of digital finance in improving environmental governance, and it encourages policy-makers around the world to rely on digital finance to promote ecological governance and achieve high-quality economic development. |
| Author Keywords |
Digital finance; Environmental pollution; Dynamic threshold model; Spatial Durbin model; Sustainable development; China |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000827943500008 |
| WoS Category |
Environmental Sciences |
| Research Area |
Environmental Sciences & Ecology |
| PDF |
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