Title |
Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?-A Case Study of China |
ID_Doc |
62295 |
Authors |
Guo, H; Gu, F; Peng, YL; Deng, X; Guo, LL |
Title |
Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?-A Case Study of China |
Year |
2022 |
Published |
International Journal Of Environmental Research And Public Health, 19, 12 |
DOI |
10.3390/ijerph19126982 |
Abstract |
Agricultural green development is increasingly being discussed in sustainable development. This paper constructs agricultural green development from four dimensions: resource savings, environmental protection, ecological conservation, and quality industrialization. We apply the entropy-weighted Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to measure agricultural green development and employ a panel dataset of provinces in China from 2011-2019. Then, the dynamic spatial Durbin model is adopted to estimate the spatial effect of digital inclusive finance on agricultural green development. The main findings are as follows: (1) digital inclusive finance effectively promotes agricultural green development, and the promotional effect shows temporary and spatial spillover; (2) regional heterogeneity exists in the spatial effect in the short and long term; and (3) education, digital infrastructure, and traditional finance are important factors influencing this spatial effect of digital inclusive finance on agricultural green development. |
Author Keywords |
digital inclusive finance; agricultural green development; dynamic spatial Durbin model; entropy-weighted TOPSIS method; sustainable development; China |
Index Keywords |
Index Keywords |
Document Type |
Other |
Open Access |
Open Access |
Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
EID |
WOS:000815920200001 |
WoS Category |
Environmental Sciences; Public, Environmental & Occupational Health |
Research Area |
Environmental Sciences & Ecology; Public, Environmental & Occupational Health |
PDF |
https://www.mdpi.com/1660-4601/19/12/6982/pdf?version=1654676466
|