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The purpose of this study is to investigate the interactive relationship between non-farm employment and mechanization service expenditure.

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.

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.

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.

The purpose of this paper is to examine the impact of agricultural cooperative membership on farmers’ decisions to adopt integrated pest management (IPM) technology and to estimate the impact of IPM adoption on farm economic performance.

An endogenous switching probit model that addresses the sample selection bias issue arising from both observed and unobserved factors is used to estimate the survey data from a sample of 481 apple households in China. A treatment effects model is employed to estimate the impact of IPM adoption on apple yields, net returns and agricultural income. In order to address the potential endogeneity associated with off-farm work variable in estimating both cooperative membership choice specification and IPM adoption specifications, a control function approach is used.

The empirical results show that cooperative membership exerts a positive and significant impact on the adoption of IPM technology. In particular, farmers’ IPM adoption decision is significantly associated with household and farm-level characteristics (e.g. education, farm size and price knowledge). IPM adoption has a positive and statistically significant impact on apple yields, net returns and agricultural income.

The findings indicate that agricultural cooperatives can be a transmission route in the efforts to proliferate the adoption and diffusion of IPM technology, and increased IPM adoption tends to improve the economic performance of farm households.

Despite the widespread evidence of health and environmental benefits associated with IPM technology, the adoption rate of this technology remains significantly low. This paper provides a first attempt by investigating to what extent and how agricultural cooperative membership affects IPM adoption and how IPM adoption influences farm economic performance.

The purpose of this study is to explore the relationship between farmers' happiness and farm productivity, taking maize production in China as an example.

The conditional mixed process model is employed to account for the endogeneity that inevitably arises in regression models studying happiness and estimate the 2015 China Household Finance Survey data.

The empirical results show that a higher level of farmers' happiness is associated with higher maize productivity. The marginal return in maize productivity changes unevenly with increments in farmers' self-reported happiness on a five-point Likert scale. Farmers' happiness is positively determined by their age, educational level, farm size, machinery ownership, access to agricultural subsidy and car ownership. Machinery ownership and access to credit are two important factors that improve maize productivity.

The finding suggests that promoting the subjective well-being of farmers is conducive to higher productivity and improved national food security. The results have implications for China and other developing countries aiming for sustainable agricultural development.

Firm-level data show that workers' happiness improves productivity. However, it is still unclear whether farmworkers' happiness affects farm productivity. Thus, this study provides the first empirical analysis of the impact of farmworkers' happiness on farm productivity.

The objective of this study is to estimate the impacts of access to irrigation on farm income, household income and income diversification.

This study employs an endogenous switching regression (ESR) model to address the selection bias arising from both observed and unobserved factors and analyze cross-sectional data collected from Fujian, Henan and Sichuan provinces in China. The authors use the Simpson index to measure household income diversification. The propensity score matching (PSM) model and control function approach are also used for comparison purpose.

After controlling for the selection bias, the authors find that access to irrigation has a positive and statistically significant impact on rural incomes and diversification. The treatment effects of access to irrigation are to increase farm income, household income and income diversification by around 14, 10 and 107%, respectively. The positive effects of access to irrigation are confirmed by the estimates of the PSM model and control function approach. Further analysis reveals that the irrigation effects on rural incomes and diversification are heterogeneous between small-scale and large-scale farmers and between male-headed and female-headed households.

The authors’ findings suggest that the government should continue to improve irrigation infrastructure construction in rural China to promote smallholder farmers' water access and at the same time facilitate farmers' access to better agronomic and irrigation information. There exist gender and farm size related income and diversification effects of access to irrigation, and the irrigation access is associated with farm location. Thus, when developing regional irrigation programs consideration needs to be taken of whether the rural farming systems are dominated by male/female household heads and land fragmentation/consolidation issues.

Although a large body of literature has investigated the effects of irrigation development in rural areas, little is known about the impact of access to irrigation on income diversification. The selection bias associated with unobserved heterogeneities is usually neglected in previous studies. This study provides the first attempt by examining the impacts of access to irrigation on rural incomes and diversification, using the ESR model to address both observed and unobserved selection bias.

The purpose of this paper is to explore the factors that influence Chinese apple farmers’ willingness to adopt organic farming, paying a special attention to the role of information acquisition.

Given that the selection bias may occur when farmers themselves decide whether or not to acquire the information to understand the essence of organic farming, this study employs a recursive bivariate probit model to address the issue of the selection bias.

The empirical results indicate that farmers’ decision to acquire information is positively affected by farmers’ environmental awareness, access to credit and access to information. In particular, information acquisition appears to increase the likelihood of farmers’ willingness to adopt organic farming by 35.9 percentage points on average.

The findings suggest that measures increasing farmers’ information exposure can be promising policy interventions to induce adoption of organic farming.

While considerable evidence indicates that organic farming provides more benefits than conventional production practice, little is known about farmers’ willingness to adopt in China. This paper provides a first attempt by examining the role of information acquisition in determining Chinese apple farmers’ willingness to adopt.

The purpose of this paper is to analyse the effects of member size and external incentives (food safety certification and target market) on cooperative’s product quality, using data collected from 135 apple producing cooperatives in China.

Given that different indicator variables were used to measure apple quality, the authors employed a principle component analysis method to reduce the measurement dimension. An ordinary least square regression was employed to analyse the effects of member size and selective incentives of agricultural cooperatives on product quality.

The empirical results show that member size and cooperative’s product quality bear an inverse “U-shape” relationship, and food safety certification and target market variables tend to positively and significantly influence cooperative’s product quality. In particular, the cooperatives with more food safety certificates and targeting supermarkets and export enterprises are more likely to supply high-quality products.

This study provides the first attempt to measure apple quality and investigate the factors that influence cooperative’s product quality.

The purpose of this paper is to examine the impact of trust and transaction costs on farmers’ contract enforcement choices using cross-sectional data collected from apple farmers in China.

This study employs ordered probit model in a two-stage regression procedure to conduct the empirical analysis.

The empirical results show that trust and transactions costs significantly influence smallholders’ contract enforcement choices. In particular, longer distance to collective place and delayed payment have negative and significant impacts on contract enforcement, while farmers’ cognition trust has a positive and significant impact on contract enforcement. Factors such as education, distance to main road and price premium also tend to have positive and statistically significant impacts on contract enforcement choices.

This study used first-hand survey data to examine the impact of transaction costs and trust using proxy variables on apple farmers’ contract enforcement choices.

The purpose of this paper is to investigate the determinants of marketing contract choices including written contracts, oral contracts and no contracts, as well as to examine the impact of marketing contracts on net returns from apple production in China.

A two-stage selection correction approach (Bourguignon, Fournier, and Gurgand (BFG)) for the multinomial logit model is employed to estimate the impact of marketing contracts on net returns from apple production. On the basis of the BFG estimation, the authors also use an endogenous switching regression model and a propensity score matching technique to estimate the causal effects of marketing contract choices on net returns from apple production.

The results reveal significant selectivity correction terms in the choices of both written contracts and no contracts and insignificant selectivity correction terms in the choice of oral contract, indicating that accounting for selection bias is a prerequisite for unbiased and consistent estimation. The findings also indicate written contracts increase apple farmers’ net returns, while oral contracts exert the opposite effect.

To the best of the authors’ knowledge, this study is the first to examine the impact of marketing contract choices on net returns from apple production, accounting for selectivity effects.

Public food procurement (PFP) plays an important role in establishing agri-food systems. The study explores local food system stakeholders' response to PFP interventions by addressing the question of how PFP transforms agri-food systems and how this new agri-food ecosystem is governed.

This article presents and discusses a unique case study of Jeonbuk, a rural province in South Korea, which successfully transformed its agri-food system into an ecosystem through its sustainability-oriented innovations (SOIs) among born ecopreneur farmers. This case not only offers insights into a novel way to create value chains through legislative, executive and judicial governance but also extends the body of knowledge on agri-food systems by introducing the concept of an agri-food ecosystem.

The findings indicate the importance of the ecosystem governance and knowledge exchange among internal and external ecosystem stakeholders. In particular, PFP institutions play a crucial role in facilitating the operation of public meal centers and cooperation among actors.

Taking an ecosystem lens to agri-food systems may offer agricultural cooperatives a wider perspective and better understanding of the governance structures necessary to successfully execute public interventions. Lastly, the Korean case differs from other developing countries, but its role model qualities could help to implement successful school meal programs elsewhere.

This paper reviewed and applied a conceptual framework aimed at identifying the role of PFP institutions in the value chain governance by studying a case study of a South Korean local school meal program. The study further extends the agricultural cooperatives research and contributes to a better understanding of the role of a municipality and an agri-food intermediary in the governance process involving producers and kitchens.

The purpose of this paper is to examine the impact of off-farm income on food expenditure, using survey data of 493 rural households from Gansu, Henan and Shandong provinces in China.

A two-stage least squares estimator is used to jointly estimate the determinants of off-farm income and the direct impact of off-farm income on food expenditure while controlling for the endogeneity issue associated with off-farm income variable.

The empirical results show that gender, education of household head, household size, farm size, the presence of children, smartphone use and asset ownership mainly determine off-farm income, and the off-farm income affects food expenditure of rural households significantly. In particular, the results show that a 1,000 yuan increase in per capita off-farm income increases per capita food expenditure by 61 yuan. Further estimations reveal that off-farm income has a larger effect on food expenditure of high-income rural households relative to their low-income counterparts.

Although poverty implications of off-farm income have been well documented, few studies have analysed the effects of off-farm income on food expenditure of rural households. To the best of the authors’ knowledge, there are no studies on this issue that focus on rural China. Therefore, the present study attempts to provide a first insight into the association between off-farm income and food expenditure of rural households in China, with the aim of providing useful evidence for policymakers in their efforts to reduce rural and urban food consumption gap and further increase social welfare.