This study employs the Super-SBM model to evaluate the green efficiency of agricultural water use (GEAW) at the municipal level across China from 2013 to 2022. Urbanization levels are systematically assessed using the entropy weight method. Grounded in this theoretical framework, we employ a two-way fixed effects regression model to estimate the effect of urbanization on GEAW and to examine whether government water conservancy infrastructure investment intensity (GOVE) moderates this relationship. The findings of this study indicate that: (1) China’s GEAW exhibited a fluctuating downward trend, with pronounced regional disparities. Geographically, the distribution exhibited a clear trend: elevated levels in the eastern and southern regions, contrasted with lower values in the western and northern areas. (2) The urbanization process is positively associated with GEAW. (3) The urbanization process exerts a heterogeneous promoting effect on GEAW contingent upon GOVE; a single-threshold effect is empirically identified. Specifically, when GOVE remains below the threshold level, the urbanization process exhibits no statistically significant positive impact on GEAW. However, once investment surpasses this critical threshold, the urbanization level (URBA) begins to exert a robust and positive influence on such efficiency. Therefore, within the broader context of ongoing urbanization, it is imperative to actively foster coordinated green development between urban and rural areas and optimize governmental investment strategies for water infrastructure—particularly through differentiated, targeted, and evidence-based governance approaches—thereby establishing favorable external conditions conducive to enhancing GEAW and advancing the modernization of agriculture.
Urban sprawl (US) is an inevitable trend in the process of economic development, and achieving carbon neutrality is also an essential aspect of production reform. Therefore, reducing carbon emission intensity (CEI) in the US has become an urgent issue that needs to be addressed. Based on panel data from 260 Chinese cit...
Lin-Song Gao, Dan-Dan Wang, Hong-Xi Chen et al.· Frontiers in Environmental S...· 0 citations
Within the framework of green sustainable development, the relationship between the digital economy (DE) and the green efficiency of water resources (GEWR) has received increasing attention. This study uses panel data from 30 provincial-level regions in China covering 2014–2023, comprising 300 province-year observation...
Guang-Hua Dong, Peng-Wei Dai, Xin Li et al.· Sustainability· 0 citations
China’s low-carbon city pilot program seeks to reconcile carbon emission reduction with economic growth and welfare improvement. This study examines whether low-carbon pilot policies (LCPPs) improve urban ecological welfare performance (EWP), the mechanisms through which these effects operate, and whether the polic...
Ge Sun, Ya-Ting Fu· Frontiers in Environmental S...· 0 citations
China's farmland has been shifted to factories, roads, and housing faster than at any point in its history—and Shandong has been at the front of that wave. The conversion helped push the province's GDP up for years, but it has also eaten into grain acreage, strained the Yellow River basin's ecology, and left displaced...
Yu-Long Tian· Journal of Economics and Pub...· 0 citations
Border regions are China’s key ecological security barriers, yet their green transition remains poorly understood because existing studies focus mainly on developed coastal and inland areas. Whether uniform national environmental regulation can achieve effects in border regions comparable to those observed in coastal a...