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The green development of FinTech empowerment has become a compelling theme in economic development. In this study, based on the weighted least squares (WLS) and threshold regression methods of cross-sectional data, we empirically examine the impact of FinTech development on agricultural nonpoint source (NPS) pollution, a major cause of impaired surface water quality. Our results show that there is an inverted “U” shape relationship between the development of FinTech and agricultural NPS pollution. That is, after crossing a “threshold value”, the level of FinTech development can curb agricultural NPS pollution. At the structural level, the availability of FinTech services, the FinTech infrastructure, and the agricultural NPS pollution also have an inverted “U” shape relationship. At the threshold effect, in the developing stage of an agricultural economy, the overall level of FinTech development, the use of FinTech services, the availability of FinTech services, and the FinTech infrastructure have an inverted “U” shape relationship with agricultural NPS pollution. On the other hand, in the developed stage of an agricultural economy, the impact of FinTech development and its structure on agricultural NPS pollution is insignificant. Hence, we can conclude that FinTech development can help reduce agricultural NPS pollution in under-developed regions. However, due to the fact that a “U” shape relationship always exists between FinTech service quality and agricultural NPS pollution, the quality of FinTech service should be the main focus to reduce agricultural NPS pollution more effectively.

Terrestrial gross primary production (GPP) is a key indicator of the ecosystem response to climate change and land use/cover change (LUCC) in arid areas. The available global GPP data sets cannot meet the demands for local applications in arid areas due to sparse vegetation and extreme climate conditions. Here, we developed a novel GPP estimation model for the Heihe River Basin (HRB), the second largest inland river basin in northern China, and disentangled the impacts of climate change and LUCC on GPP. First, we calibrated the vegetation photosynthesis model (VPM) using CO 2 flux observations from multiple stations in the HRB and developed a modified local GPP model (HRB-VPM). Then, we decoupled the joint effects of LUCC and climate change on GPP based on the log and differential transformation method. The results showed that HRB-VPM outperformed Moderate Resolution Imaging Spectroradiometer and VPM GPP models in arid ecosystems. The root mean square error of HRB-VPM was 4.9 and 1.5 gCm −2 day −1 lower than those of the Moderate Resolution Imaging Spectroradiometer and VPM models, respectively. We concluded that the underlying driving forces of the GPP changes were distinct across the HRB. In the upper reach, climate change accounted for 65.8% of GPP changes, while in the middle and lower reaches, LUCC contributed to 75.1% of GPP changes. Our research provides an effective way to monitor arid ecosystem degradation and is useful for mitigating the negative impacts of human activities and future climate change. Plain Language Summary Climate change and intensive human activities exert profound influences on vegetation productivity, which has caused widespread ecosystem degradation in arid areas. Monitoring vegetation productivity and disentangling their anthropogenic and natural driving forces in arid ecosystems remain challenging. Here, we proposed a methodology to accurately estimate gross primary production (GPP) and distinguish its responses to human activities and climate change in the Heihe River Basin, the second largest inland river basin in northern China. We found that the dominant drivers of GPP changes differed across the Heihe River Basin. GPP was dominantly driven by climate change in the upper reach, while it was mainly controlled by land use/cover change in the middle and lower reaches. Our research provides an effective way to monitor arid ecosystem degradation and is helpful for mitigating the negative impacts of human activities and climate change on arid ecosystems.