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An examination of the mitigation effect of vegetation restoration on regional water poverty: Based on panel data analysis of 9 provinces in the Yellow River basin of China from 1999 to 2019.
- Source :
-
Ecological Indicators . Feb2023, Vol. 146, pN.PAG-N.PAG. 1p. - Publication Year :
- 2023
-
Abstract
- [Display omitted] • The vegetation cover status of 9 provinces in the Yellow River basin was analyzed. • The water poverty status of 9 provinces in the Yellow River basin is analyzed. • There is a U-shaped relationship between vegetation cover and water poverty. • There were differences in the effects of vegetation cover on WPI components. Vegetation plays an important role in improving the water resource environment. Faced with the serious water poverty problem in various regions of China, whether vegetation restoration can further alleviate water poverty needs to be studied urgently. Taking 9 provinces in the Yellow River basin in China as an example, this paper first uses the framework of the existing water poverty index (WPI) to calculate the WPI of each province over the years from 1999 to 2019 and evaluate the water poverty status of each province. Later, the normalized difference vegetation index (NDVI) was used to analyze the vegetation restoration status of each area. Finally, using provincial panel data for the study area from 1999 to 2019, a comprehensive feasible generalized least squares (FGLS) model was used to analyze the impact of vegetation cover on water poverty. It was found that there was no pure linear relationship between vegetation cover and water poverty; instead, there was a significant U-shaped relationship. Moreover, the influence of vegetation cover on each component of the WPI has certain differences. This research advances knowledge on the relationship between vegetation cover and water poverty and provides ideas for effectively alleviating regional water poverty. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1470160X
- Volume :
- 146
- Database :
- Academic Search Index
- Journal :
- Ecological Indicators
- Publication Type :
- Academic Journal
- Accession number :
- 161526618
- Full Text :
- https://doi.org/10.1016/j.ecolind.2023.109860