Farmers’ adoption of water-saving irrigation technology (WSIT) is essential for achieving high-quality agricultural development. An in-depth analysis of the impact of risk aversion, technical training and their interaction on farmers’ adoption of WSIT will help the government to promote WSIT to facilitate agricultural resource conservation and sustainable development. The study takes 707 farmers who grow watermelons and muskmelon in Yuncheng and Xian City of Shanxi and Shaanxi provinces as the research object to analyse the influence of risk aversion and technical training and their interaction terms on farmers’ WSIT adoption behaviour. The study uses the Probit and moderating effect models to outline the findings. The empirical analysis reveals the following outcomes: (i) 27.44% of the sample farmers adopt water-saving irrigation technology, indicating that the current adoption rate and the enthusiasm for adoption are relatively low; (ii) risk aversion has a significant negative impact on farmers’ adoption of WSIT; (iii) both online and offline technical training have a significant positive impact on farmers’ adoption of WSIT; (iv) significant group differences exist in the effects of risk aversion, online technical training, offline technical training and interaction items on farmers’ WSIT adoption behaviour. Therefore, the study proposes to strengthen the role of technical training in the diffusion of WSIT and implement differentiated technical training for different types of farmers to reduce the degree of risk aversion of farmers.

Because of the increased expansion of the non-agricultural industry spurred on by vigorous urbanization, labor migration or transfer from farm to urban regions is to become more predominant in China. Studying the effect of labor transfer on farmers’ willingness to withdraw from land is conducive to deepening the understanding of the reality of the “separation of human and farmland”. As most rural livelihoods, directly and indirectly, depend upon farming, the socio-economic impact of leaving the homestead fosters profound research value. Moreover, it would provide a decision-making reference for the government to improve the design of the rural land withdrawal system and related support policies. This article uses the survey data of 953 farmers in Shaanxi, Sichuan, and Anhui, China, to empirically analyze labor transfer’s effect on farmers’ willingness to withdraw from farmland. We construct a bivariate Probit model by eliminating the endogenous issue to craft its findings. This study outlines its findings: (i) 61.805% of the farmers were unwilling, and 18.048% were willing to withdraw from the contracted land and homestead. While 12.067% of the farmers were only willing to withdraw from the contracted land, 8.080% of the farmers were only willing to withdraw from the homestead. Further testing found a positive correlation between farmers’ willingness to withdraw from contracted land and the homestead. (ii) The overall labor transfer of households can increase the willingness of farmers to quit contracted land and homestead farming. The incomplete labor transfer of households can improve the willingness of farmers to quit contracted land. Still, it has no significant impact on the willingness of farmers to quit their homesteads. The family’s complete labor transfer incentivizes farmers’ willingness to withdraw from contracted land and the homestead, which is more potent than incomplete family labor transfer. (iii) Incomplete labor transfer of female households has an incentive effect on farmers’ willingness to quit contracted land, and the effect is more robust than that of incomplete household labor transfer. Seemingly, complete female labor transfer of households has an incentive effect on farmers’ willingness to quit contracted land and the homestead, and the effect is stronger than the complete labor transfer of the family. Because of this, the government should respect the wishes of farmers and strengthen the effective connection and mutual promotion between the homestead and contracted land withdrawal policy. Moreover, pay concentrated attention to the vital role of different types of labor transfer, and targeted labor transfer mechanisms should be used to guide farmers in an orderly manner.

As an innovative tactic, the core aspects of green products should be comprehensively demonstrated and firmly promoted to enhance their adoption. For doing so, continuous governmental support and interventions through distinct sets of networking and relationships could be crucial for synthesizing and diffusing the extent of green production demonstration households. Interestingly, the structural relationship between these two has not yet been evaluated comprehensively by the existing literature. Therefore, the study empirically analyzes the impact and mechanism of government relationships embedded in fostering green production demonstration households. The study compiles the empirical data from 963 farmers which were collected from the major tea-producing areas of Shaanxi, Sichuan, and Anhui provinces, China. In order to craft the findings, first we constructed the ordered Probit for benchmark regression analysis. Meanwhile, the Ordinary Standard Error Ordered Probit model, Ordered Logit model, and multivariate linear model were constructed for the robustness test. Third, the Extended Ordered Probit model and Bootstrap mediation effect model were used to test the path diagram. Finally, robustness testing and endogeneity processing test were used to explore the reliability of the findings. The results showed that: (i) Government relationship embedding has a positive effect on fostering green production demonstration households. In particular, factors such as relationships with general government staff, professional and technical personnel, and village cadre are most significant. (ii) Seemingly, the heterogeneity analysis shows that the farmers with large operating scales and low family economic status have a relatively stronger impact. (iii) Further mechanism research results show that government relations are embedded through government identification (policy identification, government trust), improving farmers’ behavioral ability (production knowledge reserve, self-efficacy), and strengthening farmers’ perceived value of green production (self-interest perception, altruistic values). Therefore, the government should strengthen the interactive mechanism embedded with farm households and extend support for green production demonstration zones. The farmers’ information-sharing facilities and platforms should be modernized and highlighted according to the local conditions and long-term targeted strategies.

Reducing chemical interaction within core farming tactics has gained much attention worldwide due to ever-increasing water, soil, and air pollution trends caused by various agricultural activities. Since, in the developing countries, tea is primarily produced conventionally, clarifying the impact of relative deprivation on the pesticide application rate of tea farmers is conducive to promoting the reduction of pesticides and the green development of the tea industry. Thus, based on extensive literature reviews, the study constructs a theoretical framework of relative deprivation and pesticide application rate by tea farmers. Moreover, the moderating effect of external intervention and behavioral factors has also been assessed. A data set of 786 tea farmers’ responses from Shaanxi, Sichuan, Zhejiang, and Anhui provinces has been utilized to test, outline and validate the proposed framework. We utilized the Ordered Probit model to measure the psychological fluctuation of tea farmers. The results are as follows. (i) The more substantial their perception of relative deprivation, the more tea farmers tend to increase the application rate. (ii) In external interventions, the degree of government regulation can not only directly promote the reduction of pesticide application but also play a negative regulatory role between the relative deprivation and the amount of pesticide applied by tea farmers. Although the degree of community control can directly promote the reduction of pesticide application by tea farmers, its regulating effect is insignificant. (iii) Regarding behavioral ability, the management scale can directly promote the reduction of pesticide application by tea farmers, but its regulating impact is not significant. Thus, government should highlight the importance of organic and environmentally friendly tea cultivation and encourage tea farmers to reduce pesticide application. Along with the market regulation, point-of-sale testing and traceability of pesticide residues should continue to be consolidated, strengthened and improved.

Improvement in pesticide application and efficiency structure has long been recognized as having great significance in reducing pollution, ensuring food safety, and promoting green agricultural development. Based on theoretical analysis, using the survey data of 766 farmers in key tea areas in Shaanxi, Sichuan, Zhejiang, and Anhui provinces in China, the study empirically analyzes the influence of market incentives and livelihood dependence on farmers’ multi-stage pesticide application behavior. More specifically, the study employed ordered probit analysis to craft its findings. The dependent variable of this study is the multi-stage pesticide application problem of farmers, and the core independent variables are market incentives and livelihood dependence, and the judgment is based on the core variable coefficients of the econometric model of farmers at each stage. The study found the following: (i) Market incentives significantly prompted some farmers to give up synthetic pesticide application and farmers tend to choose green pesticides in the type of pesticide application. (ii) Livelihood dependence meant that the proportion of tea income significantly prompts farmers to apply pesticides, and also creates a tendency for farmers to choose green and low-toxic pesticides in the type of pesticide application. The planting period tends to have a moderate impact on applying green and low-toxic pesticides. (iii) The interaction term of market incentives and the proportion of tea income has no significant impact on farmers’ multi-stage pesticide application behavior. The interaction term of market incentives and planting years has impacted negatively on whether farmers apply pesticides, and has no significant impact on farmers’ choice of pesticide application types, but makes farmers increase the amount of green and low-toxic pesticides. (iv) The education level of the household head significantly promotes farmers to choose green and low-toxic pesticides. Seemingly, the brand effect of pesticides significantly encourages farmers to choose green and low-toxic pesticides. In external support, technical training significantly encourages farmers to choose green and low-toxic pesticides. Furthermore, better infrastructure and local market conditions significantly encourage farmers to reduce the use of conventional pesticides.

In the modern world, fostering comprehensive social sustainability has become one of the major concerns. Interestingly, rural livelihood may significantly comprise the compelling performance evaluations of governmental institutions’ performances. Governmental institutions’ performances in rural areas largely depend on whether they can gain relatively higher trust levels of marginal farmers. However, the critical interaction between these two prospects may foster farmers’ subjective well-being (SWB). Therefore, the study aims to model and test institutional performance, government trust, and farmers’ subjective well-being by utilising a survey of data from 963 farmer households in Shaanxi, Sichuan, and Anhui provinces, China. We have adopted structural equation modelling (SEM) to craft the study’s findings. However, in the literature, political performance is widely quantified by the urban–rural welfare and economic status gap; thus, in the core model, we have incorporated and measured the mediating role of the urban–rural welfare gap and household economic status. The results show that institutional performance, social insurance performance, and ecological livability performance have a significant and positive impact on institutional performance and government trust and eventually derive farmers’ SWB. However, the role of environmental livability performance is more substantial than social insurance performance in quantifying governmental trust and institutional performance. Moreover, it has a significant positive impact on the subjective well-being of farmers, and the effect of policy trust is not substantial. The results of further mediation and moderation effects show that social insurance performance and ecological livability performance can enhance the subjective well-being of farmers through the indirect transmission of institutional trust. In contrast, the mediating impact of policy trust is not significant. For farmers with higher economic status, institutional performance has a more substantial effect on the subjective well-being of farmers with a relatively smaller perception of the urban–rural welfare gap and lower family economic status.