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Since 2018, the Digital Village Construction project has been given much higher priority in Chinese rural revitalization. This paper studies the effects of digital literacy on the organic fertilizer utilization rates and explores the effectiveness of information. Using data from a field survey on 1585 vegetable growers in six main vegetable-producing provinces of China, we build Tobit model and endogenous switching regression model to do the empirical test. The results show that digital literacy and the effectiveness of information increase the organic fertilizer utilization rates by 6.5 per cent and 19.1 per cent, respectively. The moderating effect of the effectiveness of information is significant at 10% level. In particular, the treatment effects of digital literacy showed that when the farmers with low-level digital literacy switch to high-level digital literacy, the organic fertilizer utilization rates will be raised by 2.973 CHY (CHY is Chinese money unit. At current exchange rate of March 2024, 1 USD = 7.1982 CHY). And if the farmers with high-level digital literacy switch low-level digital literacy, the organic fertilizer utilization rates will decline by 1.546 CHY. The empirical findings of the current study provide guidelines for policy makers to improve the quality of information, carry out targeted digital literacy cultivation and promote the positive role of digital technology in improving organic fertilizer utilization rates. Overall, this study presents a better understanding of the actual impacts of farmers' digital literacy and digital technology in rural China, and provides valuable insights for other countries or regions that also engage in the improvement of digital literacy to promote the development of green economy. [ABSTRACT FROM AUTHOR]

Climate‐smart agriculture (CSA) is a set of economically and environmentally friendly practices that can address the issues of food security under the new realities of climate change. However, the adoption of these practices among smallholder farmers is still low, especially in developing countries like Ethiopia. Thus, the main objective of this study was to assess the factors determining rural farm households' adoption of CSA practices and their impact on food security in the Sidama region, Ethiopia. Primary data for this study were obtained from a randomly selected sample of 523 households using a pre‐tested, structured questionnaire. The collected data were analyzed using descriptive statistics, multivariate probit, and an endogenous switching regression model. The study found that, in the study area, conservation of agriculture is the most popular CSA practice, which is adopted by 96.2% of the adopters, followed by soil fertility management (82.2%), crop diversification (62.3%), small‐scale irrigation (47.9%), and crop–livestock integration (40.7%). The multivariate probit model revealed that the sex of the household head, age of the household head, educational level of the household head, extension contact, information on climate change, and distance to the market were identified as determinants for the adoption of CSA practices. Furthermore, the endogenous switching regression model analysis revealed that adoption of CSA practices increased rural farm household food security status. Therefore, this paper suggests that smallholder farmers should incorporate CSA practices to improve their food security. [ABSTRACT FROM AUTHOR]

This study examines the economic and environmental impacts of green production practices among farmers. It aims to contribute to sustainable agricultural development, mitigate agricultural non-point source (NPS) pollution, and align environmental protection with economic growth. This paper utilizes survey data from 1345 farm households in the main rice production areas of Jiangxi Province, China, using the example of reduced fertilizer application (RFA) among rice farmers. This study constructs a slack-based measure data envelopment analysis (DEA—SBM) model with undesirable outputs to measure environmental effects and applies an endogenous switching regression model (ESRM) to test the economic and environmental effects of farmers' adoption of green production technologies. We found the following: (1) The RFA behavior of farmers has a significant positive impact on their net profit per hectare (NPH), helping farmers increase their income, with the increase ranging from 2.05% to 6.54%. (2) Farmers' RFA behavior has a significant positive impact on agricultural green productivity (AGP), contributing to the improvement of the environment, ranging from 44.09% to 45.35%. (3) A heterogeneity analysis found inconsistencies in the income-enhancing and environmental-enhancing effects at different quantiles of NPH and AGP. Therefore, attention should be placed on improving the agricultural product quality supervision system under the market circulation mechanism, creating land scale conditions conducive to the promotion and application of fertilizer reduction technologies and promoting the implementation of externality internalization compensation systems. [ABSTRACT FROM AUTHOR]

Production process outsourcing not only enhances farmers' operation capability but also contributes to income growth. Utilizing field survey data from five provinces—Inner Mongolia, Gansu, Ningxia, Henan, and Shaanxi—this study employs an endogenous switching regression model to analyze the impact of production process outsourcing on the enhancement of farmers' operation capability and the income-enhancing effect. The results reveal the following: (1) Production process outsourcing significantly improves farmers' operation capability and increases income. (2) A higher degree of adoption of production process outsourcing correlates with greater improvements in farmers' operation capability. (3) The impact of production process outsourcing on farmers' operation capability varies with individual endowments; farmers with higher education levels, a larger number of laborers, and smaller planting areas experience more pronounced improvements in management capabilities when participating in outsourcing. (4) Production process outsourcing partially mediates the income-enhancing effect through its influence on farmers' operation capability. To further promote income growth, it is essential to enhance the agricultural outsourcing market supply system, expand farmers' access to production service information, and prioritize the development of farmers' operation capability. [ABSTRACT FROM AUTHOR]

AbstractThe study aims to explore the causal effect of Ghana’s National Health Insurance Scheme (NHIS) on hospitalisation duration. The analysis was based on the Ghana Socioeconomic Panel Survey datasets, comprising the second wave (2014/2015) and the third wave (2018/2019). The study employed the endogenous switching regression model for count data (ESRC) to control selection bias and unobserved heterogeneity. The ESRC estimates reveal that NHIS membership significantly reduces the length of stay in the hospital, indicating that health insurance has a negative association with hospitalisation. On average, insured people spend nearly five fewer days in the hospital than their uninsured counterparts. The findings further revealed common and heterogeneous determinants of hospitalisation care for both insured and uninsured individuals. Age, household expenditure, and self-assessed health were the main predictors of hospitalisation duration for insured and uninsured persons. Heterogeneously, gender, education, and physical inactivity are significant determinants of NHIS members’ hospitalisation care, while chronic illness affects the length of stay in the hospital of the uninsured. The paper concludes with a discussion of the policy options for increasing NHIS enrolment to reduce the length of stay in the hospital and improve individuals’ well-being.

Teff, a versatile crop, serves both as a food source and a cash crop in Ethiopia. It is recognized for its potential to enhance the income of smallholder farmers, improve food security, and contribute to sustainable development goals. This study aims to assess the impact of Teff commercialization by smallholder farmers on food security. Both primary and secondary data were used using the 2020/2021 cropping season. A three-stage sampling procedure was used to draw 352 sample households. Food security was assessed using proxy indicators: household dietary diversity and food consumption score. The descriptive statistical results showed that 182 (51.7%) and 170 (48.3%) sample households were subsistence, and commercialized household heads respectively. Notably, commercial farmers exhibited better household dietary diversity (91.2%), whereas subsistence farmers scored lower in terms of food consumption (29.1%). Male household headship reduced HDDS for commercializing farmers (−1.6); credit usage boosted HDDS for commercialized groups (1.1), and livestock ownership improved HDDS for subsistence groups (0.21) in the second-stage endogenous switching regression. The model result also showed that, Teff commercialization positively impacted HDDS and FCS, with average treatment effects of 3.81 and 4.46, respectively. Transitional heterogeneity results showed that commercialized farmers had lower household dietary diversity (−0.47) and lower food consumption score (−14.19) than subsistence households. In light of these findings, encouraging smallholder farmers to transition from subsistence production to commercialization is crucial for supplementing their overall production. Additionally, government efforts should focus on raising awareness about nutrition-sensitive agricultural practices.

Background The discovery spurred further exploration, leading to the expansion of opal mining into neighboring districts. Numerous cooperative groups, composed of small-scale miners, traditionally explore, develop, and extract significant amounts of rough opal gemstones. This study tries to investigate the challenges and economic impacts of traditional opal mining practice in wollo province of Ethiopia. Methods The study used in this study is primary data collected from rural households, which are living in five districts of north wollo zone, in Amhara regional state. The data was collected using field observation, focus grouped discussion, interview, and questionnaire from sampled households. The study uses both descriptive and econometric methods of data analysis to achieve its objective. Results Among the challenges of traditional opal mining, primitive way of exploring and extraction, limited access to market and low institutional support in terms of training and finance are identified. The probit model reveals that, increased education, access to training, and access to credit positively influence the likelihood of engaging in opal mining. The ESR model shows that, the average treatment effect on the treated (ATT) indicates that participating in opal mining increases monthly income by 31,380 ETB, while the average treatment effect on the untreated (ATU) shows a potential income increase of 31,625 ETB for non-miners if they engaged in mining. Conclusion The study identifies three main categories of challenges faced by traditional opal miners: exploration and extraction issues, market limitations, and regulatory and institutional shortcomings. Exploration and extraction challenges include the lack of modern mining tools and knowledge, as well as difficult terrain, leading to inefficient and hazardous mining practices. Market-related challenges involve limited access to broader markets and lack of value addition, resulting in miners selling raw opals at significantly lower prices compared to polished ones.

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Context and background Contract farming has been promoted as a more 'inclusive business model' in which local smallholder farmers can participate in and benefit from the wider benefits of investments in rural areas such as infrastructure development (power supply, roads, water supply), spillovers from increased incomes and, in some cases, mandatory development of education and health facilities. Contract farming models could have a positive impact on agricultural development and innovation in developing countries. Contract farming creates a system that links smallholder farmers with domestic and international buyers. Contract farming could secure existing local land rights of smallholder farmers by continuing farming on their land, promoting investments by investors and fostering the commercialization of smallholder farmers. Contract farming could enhance local food security. However, contract farming models do not always have a positive impact. Sometimes contractors make a profit without supporting or, sometimes, exploiting contracted smallholders. Goal and Objectives: The primary focus of this paper is to analyze the impact of contract farming on household food security. The paper will address the following research questions: What are the determinant factors that affect participation in contract farming? and What is the impact of contract farming on household food security in Kenya and Madagascar? Methodology: This study used three internationally recognized food security indicators to measure the food security status of the household: household dietary diversity score (HDDS), food consumption score (FCS) and the months of adequate household food provisioning (MAHFP). This study used an endogenous switching regression (ESR) model to estimate the impact of contract farming on household food security. The research is purely empirical research is based on observation and measurement of phenomena, as directly experienced by the researcher Results: AI can be effectively applied by Informal Cross-Border Traders (ICBT) to enhance their businesses and enhance competitiveness. There are several AI applications accessible to ICBT within their operational context. Although the adoption and utilization of AI in Africa are still in their infancy, there is considerable promise for the future. Africans must address the challenges hindering the adoption and utilization of AI, as technology is advancing rapidly, and opportunities await those who embrace it. [ABSTRACT FROM AUTHOR]

Introduction: The ecological and environmental pollution problem at the source of agriculture cannot be ignored, and the manifestation of the fertilizer reduction effect of pro-environmentally agricultural technologies (PEATs) will help motivate farmers to adopt technology, thereby promoting sustainable agricultural development. Methods: From the dual perspectives of farmers' perception and behavior effects, this paper uses 607 survey data of Chinese farmers, and an endogenous switching regression model is employed to identify the influencing factors of farmers' adoption of PEATs and manifest its fertilizer reduction effect. Results and discussion: The results of the perception survey show that the farmers' recognition of the fertilizer reduction effect of PEATs is not high, and the technical effect needs to be further demonstrated. Moreover, the estimated results suggest that PEATs can significantly reduce the fertilizer application of farmers. Specifically, if farmers who have adopted PEATs do not adopt them, they will apply more chemical fertilizers, the farmers who have not adopted PEATs will use less chemical fertilizer if they do. Overall, the main influencing factors for farmers adopting PEATs include education level, government officials, cultivated land area, soil fertility, information access channels, and the distance of home-agricultural technology station. This study aims to provide empirical evidence for the formulation of strategies and plans to promote sustainable agricultural development. [ABSTRACT FROM AUTHOR]

Rural e-commerce has achieved an effective interface between rural specialty industries and large markets. This paper explores the impact of rural e-commerce on the income levels of potato farmers based on field survey data. In addition, the extent of the impact of rural e-commerce on the income levels of potato farmers in the participating and non-participating groups was further explored under the counterfactual assumption. The main findings are as follows. (1) Rural e-commerce can increase the income of potato farmers. Participation in rural e-commerce can increase farmers' income in both the participating and non-participating groups. If the participating group had not previously sold potatoes through rural e-commerce, their per capita household income would have been reduced by 27.22%. Similarly, if the non-participating group had sold potatoes through the rural e-commerce platform, their per capita household income would have increased by 36.35%. (2) Under the counterfactual assumption, the impact of rural e-commerce on the incomes of farmers who have not yet sold potatoes through e-commerce platforms is more profound. The marginal income increasing effect of rural e-commerce is currently at an incremental stage, and selling potatoes through an e-commerce platform can lead to higher returns for farmers. (3) Gender, farm household differentiation, self-employment experience, arable land area, position in village and whether participating in agricultural associations or cooperatives are important factors that simultaneously influence farmers' e-commerce participation decisions and income levels. Education and health level can influence farmers' e-commerce participation decisions. Age, farming years, dependency ratio and accessibility to irrigation can influence farmers' income level. [ABSTRACT FROM AUTHOR]

This study examines the economic and environmental impacts of green production practices among farmers. It aims to contribute to sustainable agricultural development, mitigate agricultural non-point source (NPS) pollution, and align environmental protection with economic growth. This paper utilizes survey data from 1345 farm households in the main rice production areas of Jiangxi Province, China, using the example of reduced fertilizer application (RFA) among rice farmers. This study constructs a slack-based measure data envelopment analysis (DEA—SBM) model with undesirable outputs to measure environmental effects and applies an endogenous switching regression model (ESRM) to test the economic and environmental effects of farmers’ adoption of green production technologies. We found the following: (1) The RFA behavior of farmers has a significant positive impact on their net profit per hectare (NPH), helping farmers increase their income, with the increase ranging from 2.05% to 6.54%. (2) Farmers’ RFA behavior has a significant positive impact on agricultural green productivity (AGP), contributing to the improvement of the environment, ranging from 44.09% to 45.35%. (3) A heterogeneity analysis found inconsistencies in the income-enhancing and environmental-enhancing effects at different quantiles of NPH and AGP. Therefore, attention should be placed on improving the agricultural product quality supervision system under the market circulation mechanism, creating land scale conditions conducive to the promotion and application of fertilizer reduction technologies and promoting the implementation of externality internalization compensation systems.

[Objective] Conservation tillage is an important way to promote the sustainable and intensive utilization of cultivated land, cope with the impact of climate change, and promote the transformation of grain production mode. Accurately evaluating the impact of conservation tillage technology adoption on grain production not only can provide empirical evidence for increasing the scale and quality of conservation tillage, but also has important practical significance for ensuring food security. [Methods] Based on the survey data of grain growers from 14 provinces in China, the effect of conservation tillage technology adoption on yield increasing and stabilizing, and its heterogeneity in different regions and under different cropping systems and technology combinations were investigated under the counterfactual framework by using the endogenous switching regression (ESR) model. [Results] (1) Adopting conservation tillage technologies reduces the risk of grain yield reduction while increasing the mean of yield, which shows obvious yield-increasing effect and yield-stabilizing effect. Under the counterfactual assumption, if the farmers who adopt conservation tillage technologies did not do so, their grain mean yield would have reduced by 3.4%, and their risk of yield reduction would have increased by 17.5%. (2) The effect of conservation tillage technology adoption on yield increasing and stabilizing are heterogeneous. The adoption of conservation tillage technologies can enhance the grain mean yield of farmers in the eastern region of China more strongly than that in the central and western regions, and can only reduce the risk of grain yield reduction of farmers in the eastern region. Compared with areas with double cropping and above, the adoption of conservation tillage technologies by farmers in areas with one cropping failed to increase grain yield, but increased the risk of grain yield reduction. (3) Conservation tillage technologies have integrated adoption effect, and the yield-increasing effect and yield-stabilizing effect of straw returning + subsoiling or no-tillage direct seeding combination technology are better than that of straw returning alone. [Conclusion] Adopting conservation tillage technologies can alleviate the food security pressure brought about by the constraints of arable land resources, but it requires matching regional factor endowments, institutional environment, and technology ecological environment as support. Therefore, it is necessary to enhance the promotion, service, and research and development capabilities of conservation tillage technology, enhance its applicability and stability, and establish supporting systems and policy systems as soon as possible to fully leverage the role of conservation tillage technology in improving food security.

Much is known about disaster mitigation (DM) actions, but little is known about the impact of migration as an exogenous shock. Rural farmers in mountainous areas are under the pressure of poverty, and also face the threat of geo‐hazards. Therefore, a more complex relationship exists between rural farmers' willingness to out‐migration for work and their DM behavior. To gain insight into the relationship between the two, we constructed the social–ecological system (SES) framework based on the survey data of 864 households in 53 villages in Chongqing, and verified our findings using the endogenous switching regression model and the mediation effect model. The results show that labor out‐migration has a negative correlation with the DM behavior of peasant households. When the total effect is further categorized into the direct effect and mediation effect; the negative total effect of labor out‐migration on the DM of farmers changes from a significant to an insignificant negative direct effect. It can be seen that labor out‐migration is not the direct cause of low motivation for DM, but the loss of leadership caused by labor out‐migration, the dilution of farmers' sense of place, and the decline of farmers' risk perception are the causes that ultimately lead to the decline of farmers' action ability for DM. This study confirms that the SES framework is suitable for empirical research on how labor out‐migration affects the ability of local villages to ensure DM action. These findings add new theoretical insights to the literature on DM. [ABSTRACT FROM AUTHOR]

The crop-livestock integration model is the main path for the sustainable development of agriculture and animal husbandry in China, and farmers' participation behavior is critical to the formation of this model. So this paper based on a field survey data of 615 farmers in 10 pilot counties of Crop-Livestock Integration (CLI) in the dairy industry in the east, middle, and west of Inner Mongolia, the relationship among transaction costs, farmers' decision-making of participating in the CLI model, and income effects was analyzed using the Endogenous Switching Regression (ESR) model in this paper. The results show that under the current market environment, the proportion of farmers participating in the CLI model is 37.56% of the farmer surveyed. The high costs of information searching, negotiation, and execution are the critical factors to inhibit farmers from participating in the CLI model. The results of the counterfactual test of the ESR model show that the effect of the CLI model on the income of participated farmers is not noticeable, while the effect is more significant on the income of non-participating farmers. Moreover, there is no obvious heterogeneity in the effects of the farmer level and "farmers-to-farm" level CLI models on farmers' income. Based on these conclusions, this paper proposes that the government should actively promote the establishment of the information-sharing platform and training mechanism about the CLI model, reduce farmers' costs in information searching and negotiation, optimize the incentive policy of the CLI model, incorporate the farmers planting forage into the subsidy scope of the CLI model, improve the economic benefits of farmers participating in the CLI model, and stimulate the enthusiasm of farmers participating in the CLI model, so as to effectively promote the realization of the CLI model in the animal husbandry industry. [ABSTRACT FROM AUTHOR]

Production process outsourcing not only enhances farmers’ operation capability but also contributes to income growth. Utilizing field survey data from five provinces—Inner Mongolia, Gansu, Ningxia, Henan, and Shaanxi—this study employs an endogenous switching regression model to analyze the impact of production process outsourcing on the enhancement of farmers’ operation capability and the income-enhancing effect. The results reveal the following: (1) Production process outsourcing significantly improves farmers’ operation capability and increases income. (2) A higher degree of adoption of production process outsourcing correlates with greater improvements in farmers’ operation capability. (3) The impact of production process outsourcing on farmers’ operation capability varies with individual endowments; farmers with higher education levels, a larger number of laborers, and smaller planting areas experience more pronounced improvements in management capabilities when participating in outsourcing. (4) Production process outsourcing partially mediates the income-enhancing effect through its influence on farmers’ operation capability. To further promote income growth, it is essential to enhance the agricultural outsourcing market supply system, expand farmers’ access to production service information, and prioritize the development of farmers’ operation capability.

Family farms and agricultural cooperatives play important roles in modern agriculture in many countries. Different from smallholder farms in scale, family farms have been designated as the predominant unit of farming in China in the recent decade. However, studies on the relationship between cooperatives and family farms' income have been less frequent. Using survey data of 769 planting family farms in China, and employing the endogenous switching regression model, we examine the impact of cooperative membership on family farms' operating income (including total and per capita income). The empirical results show that, after controlling for the selection bias, cooperative membership exerts a positive and significant impact on family farms' income. And the income increase of non-member family farms if they had participated in cooperatives is much higher than that of family farms who are already members of cooperatives. Moreover, family farms that are common members of cooperatives, obtaining more centralized services and engaging in grain crop farming, would benefit more from cooperative membership. Technology-related service, marketing and information are critical pathways via which cooperative membership would increase family farms' income. [ABSTRACT FROM AUTHOR]

The impact of access to financial services (AFS) and access to informal financial services (AIFS) on farmer income is examined in this study. After a multi-stage random sampling procedure, the study used a sample size of 478 people from two regions in Ghana. The endogenous treatment regression (ETR) model was used to account for selection bias while the unconditional quantile regression (UQR) model was used for a heterogenous analysis. The findings showed that education, financial literacy, IT access, farm size, and distance were all factors of access to financial services. Similarly, the findings revealed a positive and statistically significant link between household income and access to formal financial services. Similarly, there was a positive and significant association between access to informal financial services and household income. The findings showed that access to formal and informal financial services has different effects on household income. As a result, the effects of access to financial services on income varied by quantile. Based on the findings of the study, we developed policies to boost financial services accessibility as a means of increasing household income. [ABSTRACT FROM AUTHOR]

Southern Malawi is continuously affected by tropical cyclone-related floods (TCRFs), which have negative consequences on households' livelihoods, thereby displacing most households to neighbouring communities of Mozambique. The TCRFs have further threatened national, regional, community, and household food security agenda, which is already constrained by poverty, poor agricultural practices, low use of improved varieties, unaffordable inorganic fertilizers, and fragmenting landholding sizes. Accordingly, households have indigenously engineered resilience-based Sustainable Landscape Management (SLM) practices, like intercropping, agroforestry, cover cropping, and soil and water conservation practices, against the adverse effects of TCRFs on-farm productivity. Hence, this study examines the effect of TCRFs and SLM adoption on-farm productivity. While using rigorous endogenous switching regression econometric tools, the study finds TCRFs reducing farm productivity by 27 percent. After SLM adoption, the study observes farm productivity enhancement by 29–126 percent when households adopt at least one SLM practices under varying degrees of TCRFs. Despite the highlighted advantages of SLM adoption, female farmers are less likely to adopt SLM practices because they do not have access to productive resources. Hence, the study proposes the need of gender targeted extension services, accompanied by some seed capital for SLM adoption. Besides, there is need to sensitize farmers on the complementarities between inorganic fertilizer and SLM practices. Lastly, future studies should assess the effect of sustained SLM adoption or dis-adoption and input intensification on farm productivity.

The study assessed the effect of renting pond on aquaculture farmers' productivity in the coastal communities of Nigeria. Multistage sampling technique was used to collect primary data for the study. Data were collected from two hundred and forty (240) aquaculture farmers. Net Profit Margin Ratio (NPMR) was used to determine the profitability of both pond rentals and non-pond rentals. Endogenous Switching Regression Model was used to analyze the effects of renting pond on the productivity of the aquaculture farmers. Result of NPMR revealed that the pond rental aquaculture farmers' profitability was 9.95% higher than that of non-pond rental farmers. Result of the ESR showed that pond rental aquaculture farmers' productivity was 9.73 kg/m2 and non-rentals was 7.22 kg/m2. The difference represents increase in productivity of pond rental aquaculture farmers by 34.76%. Hence, aquaculture farmers should be encouraged to participate in pond rental market system to increase their profitability and productivity. [ABSTRACT FROM AUTHOR]

It is vital to evaluate the effects of China's farmland certification programme on farmers' economic welfare and clarify the impact mechanism. This paper uses the China Labour Dynamics Survey (2014, 2016),1 building endogenous switching regression and endogenous switching probit models to test the impact of the farmland certification programme on farmers' net agricultural income and poverty status after correcting for endogeneity. A robustness analysis is conducted applying instrumental variable and propensity score matching methods. The results indicate that the farmland certification programme can significantly increase farmer households' economic welfare, including an 83.10% improvement in agricultural net income and a 3.17% reduction in poverty. Farmland certification also prompts farmers to allocate more resources to agriculture and reduces poverty by increasing farmers' agricultural income. This study presents a constructive evaluation of the performance of China's farmland certification policy, providing a strong theoretical and empirical foundation and a useful policy reference for consolidating the achievements of poverty alleviation and effectively linking rural revitalisation. [ABSTRACT FROM AUTHOR]

In the past decades, indigenous leafy vegetables (ILVs) have played a significant role in household food security, especially in poor rural households. However, ILVs have been replaced by exotic cash crops in the contemporary world. This study was conducted to assess the consumption of indigenous leafy vegetables and their contribution to household food security of households in Limpopo and Mpumalanga provinces. The study used secondary data collected by the South African Vulnerability Assessment Committee in 2016. A total of 1520 respondents were selected using a multistage sampling method. The results from descriptive statistics revealed that most consumers did not produce ILVs but consumed them. Meanwhile, a small number of people produced ILVs yet did not consume them. The results from the Household Food Insecurity Access Scale (HFIAS) showed that a large proportion of the population experienced moderate food security while some of the individuals within the population experienced severe food insecurity. An endogenous switching regression model (ESRM) was employed to analyze the impact of the consumption of ILVs on household food security. The results revealed that only a few variables of the consumption of ILVs were significant and positive (household size, wealth index, and 'if the disabled person receives grants'). As a result, the consumption of ILVs had a minimal impact on the household food security of the Limpopo and Mpumalanga provinces. The findings further revealed that age, gender, and education variables negatively influenced the consumption of ILVs. Thus, the recommended programs must be established to educate people about the importance of consuming ILVs. Agricultural extension services must equally promote the consumption of exotic cash crops and ILVs. Lastly, policies can contribute by increasing the diversity of ILVs left at retail outlets through diverse production. [ABSTRACT FROM AUTHOR]

Farmland abandonment has been a major concern for policymakers in most developing nations since it is associated with food security and poverty alleviation. In view of this, assessing its potential determinants is essential and timely. This study examines the relationship between financial literacy and farmland abandonment in Ghana using survey data (N = 572). The study employs endogenous switching regression (ESR) for its estimation. Our findings show that financial literacy is low among rural dwellers. Also, the findings depict that financial literacy is positively related to farmland abandonment reduction. Moreover, different household groups depict a heterogeneous relationship between financial literacy and farmland abandonment. Thus, the association between financial literacy and farmland abandonment reduction is more pronounced for low-income farm households and female farmers. We recommended that financial literacy programs can be organized or shown on national radios and television to provide financial education to the country's residents. Our findings could offer some implications for stimulating agricultural intensification while ensuring rural advancements. [ABSTRACT FROM AUTHOR]

Southern Malawi is continuously affected by tropical cyclone-related floods (TCRFs), which have negative consequences on households' livelihoods, thereby displacing most households to neighbouring communities of Mozambique. The TCRFs have further threatened national, regional, community, and household food security agenda, which is already constrained by poverty, poor agricultural practices, low use of improved varieties, unaffordable inorganic fertilizers, and fragmenting landholding sizes. Accordingly, households have indigenously engineered resilience-based Sustainable Landscape Management (SLM) practices, like intercropping, agroforestry, cover cropping, and soil and water conservation practices, against the adverse effects of TCRFs on-farm productivity. Hence, this study examines the effect of TCRFs and SLM adoption on-farm productivity. While using rigorous endogenous switching regression econometric tools, the study finds TCRFs reducing farm productivity by 27 percent. After SLM adoption, the study observes farm productivity enhancement by 29-126 percent when households adopt at least one SLM practices under varying degrees of TCRFs. Despite the highlighted advantages of SLM adoption, female farmers are less likely to adopt SLM practices because they do not have access to productive resources. Hence, the study proposes the need of gender targeted extension services, accompanied by some seed capital for SLM adoption. Besides, there is need to sensitize farmers on the complementarities between inorganic fertilizer and SLM practices. Lastly, future studies should assess the effect of sustained SLM adoption or dis-adoption and input intensification on farm productivity. [ABSTRACT FROM AUTHOR]

Under the background of urbanization, rural hollowing out, and aging, it is increasingly urgent to solve the problem of "who will farm the land" to stabilize the foundation of national food security. The socialized agricultural machinery service undoubtedly provides a feasible solution. From the perspective of land productivity, and based on field survey data from 597 farmers in four major wheat-producing provinces in China, this study applied an endogenous switching regression model. By constructing a "counterfactual" analysis framework, this paper's empirical analysis showed that the socialized agricultural machinery service had a positive impact on the land productivity of wheat production. At the same time, the impact of socialized agricultural machinery services on land productivity was heterogeneous due to the differences in planting scale, terrain, and concurrent business. It can give full play to the positive influence of socialized agricultural machinery services on stable grain yields and increases. It is necessary to guide and support the effective supply of socialized agricultural machinery services in the key links of food production, and to reasonably guide the main providers of socialized agricultural machinery service to provide high-quality services that meet the production needs of small farmers according to local conditions, so as to promote the organic connection between small farmers and the development of modern agriculture. [ABSTRACT FROM AUTHOR]

The modernization of agriculture in China has begun to take shape, but some groups of farmers still have relatively weak access to welfare and live in poverty, which is closely related to national food security and sustainable agricultural development. Based on survey data from northeastern China, this study analyzes the logical framework of "Agricultural Productive Services (APS) Embedded—Farmers' Family Economic Welfare Enhancement" by the endogenous switching regression model. The main findings are as follows. First, the purchase of APS brings a significant positive impact on farmers' family economic welfare improvement, mainly through the income effect and the substitution effect. Second, with the income effect, there are significant differences in the strength of the "pulling power" of different forms of APS for farmers' family economic welfare. Compared with farmers who purchase APS for the entire production chain, farmers who purchase only some of the services are more likely to increase their welfare in the later stages. Third, with the substitution effect, the re-employment behavior of the rural surplus laborers who are "squeezed out" under the embedding of APS is promoted, which makes farmers' income channels, income types, and income opportunities diversify, and their welfare will be more obviously strengthened after purchasing services. In order to enhance farmers' welfare more efficiently and meet their needs for a better life, this study suggests a combination of farmer information archiving and labor market information transparency to reduce service risks, expand employment channels, and enhance the effectiveness of the linkage between farmers and service providers. [ABSTRACT FROM AUTHOR]

Amid recent climate difficulties, integrated soil fertility management (ISFM) strategies are vital in restoring soil fertility, enhancing yield, and achieving the farmer community's well-being. This study examines ISFM's adoption and impact on wheat yields in Punjab, Pakistan, by employing an endogenous switching regression model (ESRM). The selection equation highlights the multiple factors such as age, gender, education, extension access, credit access, and social influence as essential predictors of ISFM adoption. Treatment effects showed that the average wheat yield is higher for adopters. The findings suggest refining the current institutional system will enhance adoption and food security by improving agricultural production. [ABSTRACT FROM AUTHOR]

A lack of adequate exercise threatens human health, weakening human capital accumulation. The relationship between exercise and income has become the focus of attention in health economics. In terms of reducing body weight and improving physical fitness, diet and physical exercise are intertwined and become effective ways to shape a healthy state. Based on individual-level survey data from China, this study quantified the economic returns of habitual exercise behavior by using an endogenous switching regression model (ESRM) to eliminate selection bias. The study shows that (1) participants in the group with regular exercise behavior increased their income by 3.79% compared with those not exercising regularly; (2) for the group with no regular exercise behavior, regular exercise increased their income by 13.36% compared with those not exercising regularly. Additionally, empirical evidence shows that both drinking and smoking can significantly increase individual income, despite unhealthy habits. These results suggest that the habit of regular physical activity plays a vital role in increasing individual income and improving overall national health, and the effect of individual behavior on income is affected by national culture. The outcomes are empirical evidence for the Chinese government to promote Healthy China Action and support developing countries worldwide to enable habitual exercise, stimulating a policy of exercise behavior. [ABSTRACT FROM AUTHOR]

With the rise of “Internet + Agriculture”, existing related research has focused on the impact of Internet use on agricultural productivity. However, few studies have considered the impact on agricultural green production efficiency. This paper employed the SBM model to calculate the agricultural green production efficiency using the observation data of 459 farmers in Shaanxi, Shanxi, and Henan provinces. Further, the influencing factors, their nonlinear impact, and even the effect of using the internet on agricultural green production efficiency were analyzed. The results show that corn’s average agricultural green production efficiency is 0.44, with the main peak distributed in a low-level range. The impact of the Internet use on agricultural green production efficiency is positively moderated by rural infrastructure, household assets, and educational attainment. Age and arable land area significantly impact agricultural green production efficiency. The endogenous switching regression model (ESR) shows that the agricultural green production efficiency of farmers who do not use the internet will increase by 41.45% if they use the internet. Internet use has a “U-shaped” impact on agricultural green production efficiency, and the threshold value of the farmers’ expenditure to income ratio is 0.0886. The policy aimed at improving agricultural green production efficiency and popularizing Internet use should, therefore, focus on strengthening the emphasis on increasing agricultural green production, increasing investment in rural human capital, providing green production subsidies and green production skills training, improving infrastructure construction in rural areas, integrating and enriching agricultural-related information on the Internet.

Community-based organizations (CBOs) are gaining popularity in Bangladesh as a tool for relaying flood risk information and adaptation strategies. However, to our knowledge, no attempts have been made to determine the impact of CBOs on farmers' adoption of flood adaptation strategies. Therefore, in this paper, we identify the determinants that influence farmers' decisions to participate in CBOs and how this participation impacts farmers' adoption of flood adaptation strategies. A multistage sampling procedure was employed to select 359 farmers for the study. An endogenous switching regression model was applied to control for possible selection bias due to unobserved factors, while propensity score matching (PSM) and inverse probability-weighted regression adjustment (IPWRA) were employed to test for the robustness of the results. The results reveal a positive selection bias, indicating that farmers with above-average flood adaptation strategies are more willing to participate in CBOs. Farmers' flood experience, having children under 10 years, distance to the village center, and access to information mainly determine the participation in CBOs. It is also found that CBO participation significantly increases farmers' adoption of flood adaptation strategies. ESR results show that farmers who participated in CBOs have 3.76 higher average flood adaptation strategies compared to CBO non-participation, and this finding is also consistent with PSM and IPWRA results. Therefore, policy intervention aimed at further strengthening and institutionalizing CBOs is necessary for successful flood adaptation. [ABSTRACT FROM AUTHOR]

People's weak perceptions of environmental pollution (PEP) threaten the achievement of the Global Sustainable Goals, especially in rural areas. However, Internet use may improve farmer's PEP. Thus, based on survey data from rural China, this study uses an endogenous switching regression model (ESRM) to remove the selection bias and quantitatively evaluate the impact of Internet use on the farmers' PEP. The results of this study show that (1) for group of farmers using the Internet, if they do not use the Internet, their PEP may decrease by 91.004% and (2) for group of farmers not using the Internet, if they use the Internet, their PEP may increase by 100.160%. These results provide the evidence for developing countries aiming to improve their residents' PEP and provide a new path for solving the problem of global environmental pollution and realizing sustainability. [ABSTRACT FROM AUTHOR]

The internet has exacerbated the spillover of medical information, and changes in the quantity, quality, and scope of information supply also affect public trust in doctors, which is of great significance to the construction of a harmonious physician–patient relationship. The objective of this study is to explore the relationship between internet use and residents' trust in doctors using data from the China Family Panel Studies for 2018. The empirical investigation utilizes an endogenous switching regression model (ESR) to overcome the endogeneity bias. Our results indicate that internet use is negatively associated with residents' trust in doctors (β = 0.07, p < 0.05). Specifically, the patient trust of internet users is nearly 7 percent less than that of non-internet users. Nevertheless, residents with higher dependence on traditional media such as television, newspapers, magazines and radio as an information channel show stronger patient trust. Finally, the results of the subsample analysis indicate a need to focus on older and less-educated residents, who are more vulnerable and more likely to be affected. [ABSTRACT FROM AUTHOR]

The interaction of population growth, technological improvement and climate change have impacted severely on agricultural and environmental sustainability. In Iran, conventional tillage practice has resulted in soil erosion and loss of soil organic matter. In this regard, Conservation Agriculture (CA) forms part of this alternative paradigm to agricultural production systems approaches and can be regarded as a means to enhancing food productivity, reducing poverty, and mitigating the consequences of climate change in rural households. The objectives of this study were to examine the determinants and impacts of CA technology on wheat yield, poverty gap and water use. To this end, an endogenous switching regression (ESR) model was employed to estimate the impacts of CA technology on continuous variables such as wheat yield, poverty gap and water use. A sample of 260 farmers from Zarghan district was selected for interview collection of necessary farm level data. The results indicated that in the select equation of ESR model, ten coefficients (out of 12) are significant at the 5% level or higher. Knowledge of soil quality, access to credit, access to information, education, farm size, ownership of machinery, participation in agricultural extension activities and farmer’ perception have positive and significant effects on the probability of adopting CA. In contrast, variables such as the distance to shopping center and number of land parcels have negative and significant influence on adoption. Also, the results of ESR model and counterfactual analysis showed that wheat yield would increase by 1.05 tons and poverty gap and water use would decrease by 20% and 910 cubic meters per hectare respectively if farmers adopt CA technology.

By applying an endogenous switching regression model to a sample of 64 countries, this article explores whether the effect of trade openness on inflation is influenced by the adoption of inflation targeting (IT). The outcome indicates that, while there exists a significant and negative impact of trade openness on inflation in the non-IT countries with flexible exchange rate system, the effect is negligible in the IT economies. In addition, the above differential inflation effect of trade openness across IT and non-IT regimes is only present in the developing subsample with flexible exchange rate system, but not the developed counterpart. Moreover, apart from trade openness, financial openness reinforces inflation in those developing countries not adopting IT, whereas no such significant effect is found in developing countries adopting IT. Instead of inflation, further results show that trade openness lowers inflation volatility both in developing and developed countries not adopting IT, yet the impact is smaller in developed country group. However, no such statistically significant link is found in developing and developed countries that adopt IT. [ABSTRACT FROM AUTHOR]

The issue of credit constraints cannot be underestimated in aquaculture production as it influences output through the amount and combination of inputs used. Hence, this research work studied the impact of credit constraints on aquaculture production and risk exposure in Ondo State, Nigeria. Multistage sampling procedure was employed to choose 180 fish farmers. To consider selection bias due to both observable and unobservable issues, an endogenous switching regression model was used to analyze data from 170 respondents who gave adequate information. The empirical findings revealed that being noncredit constrained increased fish output and reduced downside risk exposure (probability of output failure). Also, the farmer's age, household size, education, nonfarm income, pond system, quantity of feed, and risk attitude significantly influenced credit status. Therefore, policy makers who intend to increase fish production and reduce output failure to bridge the supply-demand gap need to reduce credit constraints. [ABSTRACT FROM AUTHOR]

Although reducing poverty has become an important issue for rural development in China, few studies have analyzed the role of mobile Internet use in multidimensional poverty. To fill this gap, this study investigated the impact of mobile Internet use on multidimensional poverty, using data collected from a household survey in rural China. Because households generally decide whether to use mobile Internet by themselves, an endogenous switching regression model was employed to control for potential selection bias. In total, 9.63% of the households were identified as multidimensionally poor and the adjusted multidimensional poverty incidence was 5.47%. The results also showed that mobile Internet use has a significant negative impact on multidimensional poverty. Further, we provide evidence of heterogeneity in the effect of mobile Internet use across regions. These findings highlight the importance of mobile Internet use in multidimensional poverty reduction strategies for rural households. [ABSTRACT FROM AUTHOR]

Farmland abandonment has been a major concern for policymakers in most developing nations since it is associated with food security and poverty alleviation. In view of this, assessing its potential determinants is essential and timely. This study examines the relationship between financial literacy and farmland abandonment in Ghana using survey data (N = 572). The study employs endogenous switching regression (ESR) for its estimation. Our findings show that financial literacy is low among rural dwellers. Also, the findings depict that financial literacy is positively related to farmland abandonment reduction. Moreover, different household groups depict a heterogeneous relationship between financial literacy and farmland abandonment. Thus, the association between financial literacy and farmland abandonment reduction is more pronounced for low-income farm households and female farmers. We recommended that financial literacy programs can be organized or shown on national radios and television to provide financial education to the country’s residents. Our findings could offer some implications for stimulating agricultural intensification while ensuring rural advancements.

Under the background of urbanization, rural hollowing out, and aging, it is increasingly urgent to solve the problem of “who will farm the land” to stabilize the foundation of national food security. The socialized agricultural machinery service undoubtedly provides a feasible solution. From the perspective of land productivity, and based on field survey data from 597 farmers in four major wheat-producing provinces in China, this study applied an endogenous switching regression model. By constructing a “counterfactual” analysis framework, this paper’s empirical analysis showed that the socialized agricultural machinery service had a positive impact on the land productivity of wheat production. At the same time, the impact of socialized agricultural machinery services on land productivity was heterogeneous due to the differences in planting scale, terrain, and concurrent business. It can give full play to the positive influence of socialized agricultural machinery services on stable grain yields and increases. It is necessary to guide and support the effective supply of socialized agricultural machinery services in the key links of food production, and to reasonably guide the main providers of socialized agricultural machinery service to provide high-quality services that meet the production needs of small farmers according to local conditions, so as to promote the organic connection between small farmers and the development of modern agriculture.

The modernization of agriculture in China has begun to take shape, but some groups of farmers still have relatively weak access to welfare and live in poverty, which is closely related to national food security and sustainable agricultural development. Based on survey data from northeastern China, this study analyzes the logical framework of “Agricultural Productive Services (APS) Embedded—Farmers’ Family Economic Welfare Enhancement” by the endogenous switching regression model. The main findings are as follows. First, the purchase of APS brings a significant positive impact on farmers’ family economic welfare improvement, mainly through the income effect and the substitution effect. Second, with the income effect, there are significant differences in the strength of the “pulling power” of different forms of APS for farmers’ family economic welfare. Compared with farmers who purchase APS for the entire production chain, farmers who purchase only some of the services are more likely to increase their welfare in the later stages. Third, with the substitution effect, the re-employment behavior of the rural surplus laborers who are “squeezed out” under the embedding of APS is promoted, which makes farmers’ income channels, income types, and income opportunities diversify, and their welfare will be more obviously strengthened after purchasing services. In order to enhance farmers’ welfare more efficiently and meet their needs for a better life, this study suggests a combination of farmer information archiving and labor market information transparency to reduce service risks, expand employment channels, and enhance the effectiveness of the linkage between farmers and service providers.

Due to the financing constraint that faced by small and medium-sized enterprises (SMEs), SMEs are more cautious in innovation investments, and thus more eager to gain external financial support. This paper discusses the impact of SMEs' R&D investment on government subsidy under the constraint of hidden information. It adopts a modified endogenous switching regression model to solve the endogenous problems. The results show that SME's initiative to signal its underlying innovative capacity has an important impact on Chinese government's subsidy feedback. SMEs that send high-type signals have gained more subsidies. And when SMEs are with different types of innovation signals, they would have different influence mechanisms on subsidy feedback. This study concludes that the policymakers should make more use of its belief and give effective feedbacks to the entrepreneurs. [ABSTRACT FROM AUTHOR]

The interaction of population growth, technological improvement and climate change have impacted severely on agricultural and environmental sustainability. In Iran, conventional tillage practice has resulted in soil erosion and loss of soil organic matter. In this regard, Conservation Agriculture (CA) forms part of this alternative paradigm to agricultural production systems approaches and can be regarded as a means to enhancing food productivity, reducing poverty, and mitigating the consequences of climate change in rural households. The objectives of this study were to examine the determinants and impacts of CA technology on wheat yield, poverty gap and water use. To this end, an endogenous switching regression (ESR) model was employed to estimate the impacts of CA technology on continuous variables such as wheat yield, poverty gap and water use. A sample of 260 farmers from Zarghan district was selected for interview collection of necessary farm level data. The results indicated that in the select equation of ESR model, ten coefficients (out of 12) are significant at the 5% level or higher. Knowledge of soil quality, access to credit, access to information, education, farm size, ownership of machinery, participation in agricultural extension activities and farmer’ perception have positive and significant effects on the probability of adopting CA. In contrast, variables such as the distance to shopping center and number of land parcels have negative and significant influence on adoption. Also, the results of ESR model and counterfactual analysis showed that wheat yield would increase by 1.05 tons and poverty gap and water use would decrease by 20% and 910 cubic meters per hectare respectively if farmers adopt CA technology. [ABSTRACT FROM AUTHOR]

• Food traceability system exerts a significant inhibitory effect on the overuse of antibiotics by farmers; • Inhibitory effects of food traceability system on over-the-counter and broad-spectrum antibiotics are more significant than those on prescription and narrow-spectrum antibiotics. • Inhibition effect of food traceability system on the overuse of antibiotics by different scale farmers exhibits an approximately inverse-U curvilinear relationship. • Intervention mechanism of the FTS on the overuse of antibiotics by farmers mainly consists of social reputation maintenance, liability traceability for antibiotic residues, and biosafety enhancement. The use of animal antibiotics is a double-edged sword. It can be used for disease treatment, health protection, and growth promoters. It also creates antibiotic residues and resistance, poses risks, and damages food safety, ecosystems, and public health. Under the pressure of disease risk and expected losses, farmers' overuse of animal antibiotics exacerbates this dual objective incompatibility. In this study, we employ the endogenous switching regression (ESR) model and the mediating effect method to empirically analyze the inhibitory effect and intervention mechanism of the food traceability system (FTS) on reducing farmers' overuse of antibiotics by using the survey data of hog farmers from China. This paper measures the "dose" unit of antibiotics farmers use regarding cost and the active ingredients of antibiotics per kilogram of treated infected hogs. The study finds evidence that the FTS exerts a significant inhibitory effect on the overuse of antibiotics by farmers. The counterfactual hypothesis unveils that non-participation in the FTS by the involved farmers will increase the cost of antibiotics overuse by 0.080 yuan/kg, while if the farmers currently not participating are to engage with the FTS, the price will decrease by 0.126 yuan/kg. This effect persists across control variables controlled in turn and the unit doses of active ingredients of tetracycline, sulfonamides, β -lactam, chloramphenicol, and macrolide antibiotics. Moreover, our results reveal that the inhibitory effects of the FTS on over-the-counter and broad-spectrum antibiotics are more significant than on prescription and narrow-spectrum antibiotics. The results show that the inhibition effect of the FTS on the overuse of antibiotics by free-range, professional, and large-scale farmers exhibits an approximately inverse-U curvilinear relationship. Besides, the intervention mechanism of the FTS on the overuse of antibiotics by farmers mainly consists of social reputation maintenance, liability traceability for antibiotic residues, and biosafety enhancement, and the proportion of their mediating effects in the total impact are 24.22%, 21.84%, and 10.87%, respectively. Our empirical study has yielded several implications, such as strengthening the FTS construction, improving farmers' antibiotic use skills, promoting standardized breeding levels, and increasing the market premium for food products that adhere to antibiotic residue standards. These outcomes not only contribute to the improvement of livestock production safety but also reduce the problem of antibiotic overuse. [ABSTRACT FROM AUTHOR]