With ensuring food security becoming a priority for the Chinese government, the prevalence of off-farm employment (OE) may cast a shadow on agricultural productivity. Based on the data of the China Family Panel Studies in 2018, the Tobit model and threshold effect model have been applied to investigate the impact of off-farm employment on agricultural productivity efficiency (APE), measured by data envelopment analysis (DEA). The result has shown that: (1) OE contributes to a low level of APE. (2) Both self-employed off-farm employment (SOE) and wage-based off-farm employment (WOE) result in lower APE levels when endogenous issues are addressed. However, SOE had a greater negative impact on APE than WOE. (3) There exists a threshold for OE associated with a lower level of APE, indicating that the negative effect of OE on APE disappears when the degree of OE is high enough, SOE has a lower threshold than WOE. The study findings have implications for improving agricultural production efficiency in the context of large-scale off-farm employment of Chinese farmers.
Although irrigation systems are critical to the long-term viability of agriculture, they also contribute a significant amount of carbon dioxide emissions. This creates a conflict between reducing greenhouse gas emissions and promoting agricultural growth. Researchers may be able to gain a better understanding of the subject by looking at the connection between irrigation water efficiency (IWE) and agricultural carbon emissions (ACE). With data from 30 Chinese provinces collected between 2002 and 2019, this study examines the dynamic effect of IWE on ACE. According to the results, IWE has the potential to significantly raise ACE. The positive effects of IWE become more pronounced as ACE increases, according to the heterogeneity analysis. ACE in northern China is also more vulnerable to IWE than other ACE regions. Irrigation scales appear to be a significant channel through which IWE positively affects ACE, according to an investigation of possible mechanisms. However, the increased IWE causes the planting structure adjustments, which aids in the reduction of ACE. The results of this study have significant ramifications for public policy.
The current water shortage crisis has necessitated an increased focus on improving the irrigation efficiency in groundwater overdraft areas. Consequently, the Chinese government has supported small farmers in installing community-based water-saving technologies (WSTs) providing high irrigation efficiency. Based on the data collected from 620 households located in the groundwater overdraft area of Hebei, North China Plain, this study conducts a stochastic frontier analysis to measure farmers' irrigation water use efficiency (WUE) and analyzes the impact of land fragmentation and WST types on their WUE. The results show that the average WUE of groundwater irrigation is 0.606. The WUE between community-based and household-based WSTs differs based on the degree of land fragmentation. A high degree of land fragmentation restricts community-based WSTs from efficiently improving farmers' WUE, whereas household-based WSTs perform better and are easier to adopt. For high land fragmentation, the WUE of the community-based WST is 9.12% lower than that of the household-based WST. However, the WUE of the community-based WST is 12.55% higher than that of the household-based WST when the degree of land fragmentation is low. Therefore, the government should pay attention to small farmers' adaptability toward WST and promote community-based WSTs on a low degree of land fragmentation.
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