This study reviews the literature published between 2013 and 2023 to comprehensively understand the consequences of adopting climate-smart agricultural (CSA) practices. We categorize the literature into three categories based on the scopes of climate-smart agriculture: (a) sustainably increase agricultural productivity and incomes; (b) adapt and build the resilience of people and agrifood systems to climate change; and (c) reduce or where possible, avoid greenhouse gas emissions. The review demonstrates that adopting CSA practices, in many instances, improves farm productivity and incomes. This increase manifests in increasing crop yields and productivity, income and profitability, and technical and resource use efficiency. Moreover, adopting CSA practices reinforces the resilience of farmers and agrifood systems by promoting food consumption, dietary diversity, and food security and mitigating production risks and vulnerabilities. Adopting CSA practices is environmentally feasible as it reduces greenhouse gas emissions and improves soil quality. An integrative strategy encompassing diverse CSA practices portends an optimized avenue to chart a trajectory towards agrifood systems fortified against climatic change.

There is a growing trend for rural residents to shop online, but little is known about how online shopping is associated with their subjective well-being. To fill this gap, in this study, we estimate the impact of online shopping on the subjective well-being of rural residents, using survey data collected from China. An endogenous ordered probit (EOP) model is employed to address the selection bias associated with online shopping. The empirical results reveal that online shopping significantly increases rural residents’ happiness and life satisfaction. The more rural residents spend on online shopping, the happier they are. Disaggregated analysis indicates that online shopping has greater positive impacts on the subjective well-being of lower-income residents (at household income tertile 1), relative to their higher-income counterparts (at household income tertiles 2–3). Our findings suggest that developing rural-targeted online shopping markets can improve the subjective well-being of rural residents and boost rural consumption upgrading.

Purpose: The purpose of this study is to investigate the interactive relationship between non-farm employment and mechanization service expenditure.Design/methodology/approach: The study employs an innovative two-stage probit least squares (2SPLS) model to analyze the survey data collected from 1,148 rural households in China. This model not only simultaneously estimates the impact of non-farm employment on mechanization service expenditure and the impact of mechanization service expenditure on non-farm employment, but also addresses endogeneity issues associated with these two activities.Findings: The empirical results show that non-farm employment and mechanization service expenditure are jointly determined. In particular, the study finds that non-farm employment significantly increases mechanization service expenditure, and vice versa. The results are confirmed by an estimation that captures a dichotomous decision of mechanization service usage. The interactive effects of non-farm employment on mechanization service expenditure are heterogeneous between male and female household heads and among households with different member sizes. Further analyses reveal that (1) mechanization service expenditure increases with increasing non-farm working time; (2) local non-farm employment, rather than provincial non-farm employment, has a larger impact on mechanization service expenditure; and (3) the number of household members employed in non-farm works does not affect mechanization service expenditure significantly.Originality/value: Although mechanization service markets are rapidly growing in many developing and transition countries, little is known about how service purchasing interacts with farmers' decisions to work in the non-farm sector. This study makes the first attempt by investigating the interactive effects of non-farm employment on mechanization service expenditure in rural China. The findings provide significant evidence for policymakers in China and other countries in their efforts to generate non-farm work opportunities and promote agricultural mechanization, with the aim of boosting rural development and improving farm economic performance.