Since the launch of the Grain for Green (GFG) program in 1999, the Loess Plateau has undergone significant vegetation changes. However, the driving mechanisms behind these changes in the post-GFG period remain insufficiently understood. This study analyzes the spatiotemporal dynamics of vegetation on the Loess Plateau from 1982 to 2015, based on long-term NDVI time series, and quantitatively identifies the relative contributions of climate variability and human activities using partial correlation and multiple regression residual analysis. The results reveal a significant increase in NDVI after 2000, with the annual variation rate rising from 0.0009 to 0.0028, and the proportion of rapidly greening areas expanding from 13.3% to 62.9%. Spatially, vegetation recovery was more prominent in the eastern and lower-latitude regions. While both climate and anthropogenic factors influenced vegetation changes, the latter became dominant after 2000. The area where human activities significantly enhanced vegetation increased from 1.9% to 60.6%, with the most notable improvements observed in forests, followed by croplands and grasslands. Vegetation in the southern plateau was more sensitive to temperature, while the northern region responded more strongly to precipitation. From 2000 to 2015, the GFG program contributed to increases of 17,059.46 km² in grasslands and 10,105.78 km² in forests. These findings improve our understanding of vegetation change drivers on the Loess Plateau and offer a scientific basis for ecological restoration, policy-making, and sustainable development in the Yellow River Basin.

Hydropower is a significant component of China’s contemporary energy framework, with its construction and operation critically contributing to the advancement of sustainable development in the region. However, the influence of hydropower development on regional sustainable development is not evident, and the course of its effect is not clear. In this work, on the basis of assessing the effect of hydropower development on regional sustainable development, a system dynamics (SD) simulation model was created, and 15 distinct development modes were set and tested. The relative driving efficiency of hydropower growth on sustainable development in a province in Southwest China under several scenarios was assessed using the super-efficiency-slacks-based measurement (Super-SBM), and an efficiency analysis was undertaken. The study’s findings demonstrate that: (1) Hydropower development had a complex driving influence on sustainable development in the province in 2015–2022. (2) The relative driving efficiency of the province over the study period exhibited a changing pattern and was at a high level greater than 0.7. (3) New hydropower investment and hydropower generation are the major factors impacting the relative driving efficiency of hydropower development on regional sustainable development in the province. The study’s findings provide a platform and reference for supporting regional sustainable development through hydropower development.