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The global mental health crisis presents a significant challenge to sustainable development, and this crisis is more pronounced in China's rural areas versus urban areas. Alcohol consumption has increased in rural areas with China's economic growth, but the number of studies on the relationship between farmers' alcohol consumption and their mental health is limited. Based on data from the China Labor Force Dynamics Survey (CLDS), this study uses the endogenous switching regression model (ESR) to analyze the influence of alcohol consumption on farmers' mental health. On this basis, the study further conducts a counterfactual analysis to estimate the average treatment effect of alcohol consumption on farmers' mental health. The results show that: (1) There is a significant positive relationship between alcohol consumption and farmers' mental health. Specifically, the mental health index of drinking farmers increases by 19.7 % compared to non-drinking farmers. (2) Heterogeneity analysis shows that alcohol consumption is more beneficial for improving the mental health of male farmers, elderly farmers, and employed farmers. Furthermore, drinking alcohol almost every day, consuming Baijiu, and each drinking consumption ranging from 0 to 100 mL per occasion are more conducive to improving farmers' mental health. These findings have implications for relieving depressive symptomology and improving farmers' mental health in developing countries. The results of this study also provide guidance for addressing the global mental health crisis.

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Contract Farming Arrangements (CFA) can be viewed as a pro-active response to lack of reliable markets and steeply rising input prices. CFA proponents argue that CFA can enhance technical efficiency of tobacco farming and productivity. Thus, in this study, the paper interrogates the effect of CFA on tobacco productivity in southern Africa: Hurungwe district of Zimbabwe. The study controls for both observable and unobservable factors, like age, education, and ability to use information-unknown to the researchers, explaining farmers decision to participate in CFA. The study uses the Endogenous Switching Regression (ESR) model, which also acts as a robust check for the Propensity Score Matching techniques as it studies both observable and unobservable factors influencing CFA participation. Based on the ESR model, this study finds that CFA improves tobacco productivity by 39%. Nonetheless, CFA is labour-intensive. Hence, women and the elderly are less likely to participate in CFA, suggesting the need to develop gender-sensitive labour-saving technologies. Even though tobacco products kill their users, we would like to explore whether CFA can make farming more productive or not. We hypothesize that if tobacco farming would be more productive, then perhaps farmers will have enough money to buy food so they can be healthier even if the tobacco leaves, they grow can kill people elsewhere. Thus, these results inform CFA-related policies that improve smallholder tobacco productivity in Southern Africa. With existing tobacco controls, these results are equally valid to other cash crops where most developing economies anticipate the majority resource-constrained smallholder farmers to shift their production systems entirely away from tobacco in the immediate future.

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The issue of marine plastic pollution has drawn significant attention from around the world due to the harm it poses to marine and coastal ecosystems. Despite this, the scholarly literature has not been able to fully explore the coping strategies adopted by fishers and their welfare effects. Motivated by this argument, this study examines the determinants of the coping strategies employed in response to marine plastic pollution, and its effect on fishers' productivity in the Volta region, Ghana. Empirically, the multinomial endogenous switching regression (MESR) model established that the drivers of the coping strategies adopted were age, knowledge, marital status, fishers' experience in fishing, and household size. Fishers that adopted purse net only, drift-gill net only, both purse and drift-gill nets and all the three fishing techniques (purse, drag and drift-gill) have a greater productivity compared to the non-adopters. Policy implications are proposed.

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The traditional rain-fed agriculture system of Ethiopia is suffering from climate change impacts and extremes. It must be improved to feed the growing population and create a resilient society. Climate-smart agriculture (CSA) is currently promoted as an approach intended to increase sustainable agricultural productivity, enhance household resilience, and reduce greenhouse gas emissions. This study was, therefore, undertaken to examine how food security can be improved by the adoption of multiple climate-smart agriculture (CSA) practices of smallholder farmers in a moist tropical montane ecosystem of Southwest Ethiopia. Data was collected from 384 purposively selected households through cross-sectional study design using a semi-structured questionnaire. Eight Focus group discussions and fifteen key informant interviews were also conducted to check the reliability of the survey data collected. In the study area, a total of eighteen CSA practices, adopted by farmers, were identified. Using principal component analysis, these practices were further grouped into five packages and a multinomial endogenous switching regression model was used to link these packages to the food security status. The findings revealed a great variation in the proportion of households using CSA practices where 92.3 % were using crop management practices whereas 11.2 % were using soil and water conservation practices. The study found that the maximum effect of CSA adoption on food security was by farmers who adopted all the five category CSA technologies. Households that adopted this package were more food secure by 41.2 % in terms of per capita annual food expenditure, 39.8% in terms of Household Food Insecurity Access Scale (HFIAS), and 12.1% in terms of Household Food Consumption Score (HFCS) than the non-adopters. The adoption of this group of practices was further influenced positively by farm size, gender, and productive farm asset values. Using CSA practices in combinations and to a relatively larger extent can potentially solve food security problems. Motivating farmers by providing income-generating activities and discouraging land fragmentation through public education is essential. This in turn improves CSA adoption and initiates production assets investment that can absorb climate change risks.

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Improved agricultural technologies are promoted as cost-effective and sustainable ways of improving rural households' food security and reducing poverty in developing countries. This study evaluates the relationship between improved groundnut varieties (IGVs) and household food security using detailed household and plot level data from a sample of over 1300 farm households in Northern Nigeria. Endogenous switching regression models are employed to control for potential endogeneity biases. Results show that about 30 % of groundnut plots are planted with improved varieties, and the adoption of IGVs significantly increases the likelihood of household per capita groundnut consumption by about 13 % and reduces the probability of households' vulnerability to food (access) insecurity by 22 %. Counterfactual analyses show that non-adopting households could have enjoyed comparable benefits had they adopted IGVs. These results suggest that development interventions aimed at improving the diffusion and impacts of IGVs in Nigeria need to target farmers' access to information about the technologies while developing groundnut seed systems to make quality seeds readily available to smallholder farmers at affordable prices.

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This study investigates the effect of married couples' joint decision-making on rice variety selection on rice productivity-a measure of food security. The study uses the 2016 Rice Monitoring Survey and the endogenous switching regression (ESR) method. Results show that rice farms with joint decision-makers (husband and wife) would have higher yields, particularly in households that adopted MRVGen1 (before 1986) rice varieties. Thus, families with joint-decision making have higher food security. Intervention programs for food insecurity should acknowledge and incorporate information regarding the persons responsible for making rice varietal decisions and the characteristics of modern rice varieties to ensure food security.

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An increasing amount of pesticide input is posing a serious threat to the environment and public health. However, the quantitative analysis of the impact of agricultural mechanization services (AMS) on reducing pesticide input is not yet clear. In this study, the impact of AMS on pesticide input was estimated by using the Chinese Family Database and the endogenous switching regression model. Subsequently, testing the robustness of the model using the substitution variable method. The impact of AMS on different types of pesticides and the influence of farmers' choices of AMS on pesticide input under different terrain conditions and farm sizes were analyzed as well. The results demonstrate that AMS has a significant and negative impact on pesticide input, reducing pesticide expenditures by 56.08% for farmers who adopt AMS. For farmers who do not adopt AMS, adopting such services is assumed to reduce pesticide input by 14.97%. AMS can also reduce the use of insecticides and herbicides by over 54%. Compared to mountainous and hilly areas, AMS in plain areas increase the effectiveness of pesticide input reduction by 30.40%. Furthermore, small-scale farmers who adopt AMS can increase pesticide input reduction by 90 yuan/mu compared with large-scale farmers. Therefore, promoting the development of socialized AMS, strengthening AMS in mountainous and hilly areas, and expanding the scale of operation for small-scale farmers can help improve the effectiveness of pesticide input reduction. The results of this study can inform the development of strategies to reduce chemical pesticide use in agricultural soil.

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Rice supply remains insufficient for the world's consumption despite the agro-ecological potential, including the sub-Saharan African countries. The organization of the rice sector in Benin aims to a better profitability and above all in the increase in rice income of producers and processors. With this in mind, the objective of this study is to assess the impact of the contractual system on the earnings of parboiled rice stakeholders in the hill departments of Benin. For this reason, a random sample of 650 rice farmers spread over 400 producers and 250 processors made it possible to estimate of the Endogenous Switching Regression (ESR). The results of the estimates revealed that adherence to the agricultural contract as a function of socio-demographic factors such as human capital; gender; membership of an agricultural cooperative; have access to agricultural extension innovations and economic-institutional factors such as free entry into the market; access to quality agricultural products and access to credit. These results also confirm the positive effects of the acceptance of contracts on the parboiled rice income of the two actors. Adherence to agricultural contracts remains an effective agricultural policy likely to increase rice income in developing countries and in particular in the department of Collines which has a very high potential for arable land. The effective exploitation of these lowlands is a real source of increasing the rice supply in the perspective of insurance and guaranteeing better levels of food and nutritional security in Benin.

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Rapid population growth has increased the global demand for food. However, some studies have revealed that more than one-third of the global food production is lost during postharvest operations along the food supply chain. Managerial and technical limitations such as a lack of proper storage facilities, poor handling practices and, associated knowledge are among the main causes of food losses particularly in Africa. Maize is among the most important staple food and cash crops across sub-Saharan Africa. In Rwanda, most of the maize produced incurs losses during storage. Hermetic storage technologies (HST) have been proven to be effective in the control of post-harvest storage losses in maize. However, their adoption in maize storage has been low with farmers continuing to use less effective technologies. Therefore, this study assessed the impact of hermetic maize storage technologies adoption, on the income of 301 randomly selected smallholder maize farmers in Gatsibo District of Rwanda, using the endogenous switching regression (ESR). The results revealed that household size, post-harvest training, access to credit, distance to input provider, and the household head's experience in maize production were the major factors influencing farmers' decision to adopt HST. The occupation of the household head, number of plots reserved for other crops, training, household size, age of the household head, and household maize self-sufficiency goal significantly influenced income for both HST adopters and non-adopters. Overall, the adoption of HST had a positive and significant impact on income from stored maize, among those who adopted it. The study recommends that the government of Rwanda and other stakeholders should support the dissemination of HST to facilitate access. Thus, increased access to institutional support services such as post-harvest training, credit access, and agricultural input supply, should be a major part of efforts aimed at promoting the effective use of hermetic maize storage technologies among smallholder maize farmers in Rwanda.

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Efforts to promote equity in healthcare involve implementing policies and programs that address the root causes of healthcare disparities and promote equal access to care. One such program is the public social healthcare protection schemes. However, like many other developing countries, Tanzania has low health insurance coverage, hindering its efforts to achieve universal health coverage. This study examines the role of equity in public social healthcare protection and its effects on household healthcare financing in Tanzania. The study used secondary data collected from the National Bureau of Statistics' National Panel Survey 2020/21 and stratified households based on their place of residence (rural vs. urban). Moreover, the logit regression model, ordered logit, and the endogenous switching regression model were used to provide counterfactual estimates without selection bias and endogeneity problems. The results showed greater variations in social health protection across rural and urban households, increasing disparities in health outcomes between these areas. Rural residents are the most vulnerable groups. Furthermore, education, income, and direct healthcare costs significantly influence equity in healthcare financing and the ability of households to benefit from public social healthcare protection schemes. To achieve equity in healthcare in rural and urban areas, developing countries need to increase investment in health sector by reducing the cost of healthcare, which will significantly reduce household healthcare financing. Furthermore, the study recommends that social health protection is an essential strategy for improving fair access to quality healthcare by removing differences across households and promoting equality in utilizing healthcare services.

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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.

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This study examines disaggregated impacts of participation in off-farm employment on household vulnerability to food poverty in Ghana. We use household-level data collected from smallholder farmers in Ghana. This study employs the multinomial endogenous switching regression model to account for selection bias due to both observed and unobserved heterogeneity. Our results indicate that participation in off-farm employment activities, such as petty trading, significantly decreases household vulnerability to food poverty. Our findings further show that households that do participate in arts and crafts as an off-farm activity are more vulnerable to food poverty had they not participated. This paper provides useful policy insights to enable smallholders involved in off-farm work activities to improve food consumption expenditure and reduce their risk of food poverty.

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Despite the considerable soybean varietal improvement and dissemination efforts in Nigeria and other parts of Sub-Saharan Africa, empirical evidence on farm-level yield and revenue impacts of improved soybean varieties (ISVs) from a gender perspective are limited. In this paper, we analyze the impact of the adoption of ISVs on soybean yield and net revenue, and the associated gender differential effects in northern Nigeria. We use the endogenous and exogenous switching treatment effects regression frameworks to estimate the impacts. We find that the adoption of ISVs significantly increased soybean yield and net revenue of the soybean-producing households by 26% and 32%, respectively. In addition, we find that the gender gap in yield between male and female-headed soybean-producing households was small, with a yield gap of about 1%. However, we find a substantial gender gap in soybean net revenue, as the net revenue of female-headed households was lower by about 20%, as compared to male-headed households. Overall, our findings show that policymakers and their development partners can leverage varietal improvement to boost the yields of both male- and female-headed households. However, closing the gender gap in crop income necessitates reducing the disparity in market linkages so that the female farmers can equally have better market access.

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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.

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This article analyzes factors influencing the adoption of kitchen gardens and food and nutrition security implications of kitchen gardens on farming households. For this, the Per Capita Kilocalorie Intake (PKCI) and Food Consumption Score (FCS) were applied as food and nutrition security indicators. This paper is based on cross-sectional data that include a sample of 825 households from two districts in Tanzania. Endogenous Switching Regression is employed to determine factors influencing the adoption of a kitchen garden and its impact on food and nutrition security of the involved farming households. The results of the analysis indicate that the adoption of a kitchen garden increased with the family size (adult equivalent), credit use, access to information, districts (location), and the usage of other water sources for agriculture in addition to rainfed. It decreased with total land size and TLU. While the adoption of a kitchen garden significantly increased adopters' FCS by 1.45 or 2.96% and non-adopters' FCS by 1.26 or 2.69%. In contrast, the adoption of a kitchen garden significantly reduced non-adopters' PKCI by 101.18 or 3.92% but it does not have significant impact for adopters. Therefore, policymakers and development organizations should further promote and scale-up the kitchen garden intervention in order to use it as a tool to enhance the household's food and nutrition security.

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The existing literature acknowledges the benefits of beekeeping as a livelihood diversification strategy and income source for farmers across the world. However, the impact of beekeeping on income at household level has rarely been quantified. Furthermore, the few existing studies provide conflicting evidence and the methods quantifying the impact of participating in beekeeping are not rigorous. In this study, we identify key determinants of such participation and quantify the impact of beekeeping on household income. We use a cross-sectional data set collected from 392 randomly selected households in north-western Ethiopia, employing the endogenous switching regression model with estimated treatment effects. Unlike the methods used by previous studies, the approach adopted here enabled the control of observed and unobserved heterogeneities that affect not only the decision to participate in beekeeping, but also income differences among households. The results show that there are important differences between beekeepers and non-beekeepers in terms of their skills and resource endowments. After these differences were controlled for, beekeeping participation was found to increase income by 3,418 Ethiopian Birr (ETB) per person, namely a 51% increase. Furthermore, it was estimated that households not participating in beekeeping could have increased their income by ETB 442 per person (an 11% increase) had they become beekeepers. These findings indicate that income gains from beekeeping participation are 22-44 percentage points higher than benefits reported by previous studies. Capitalising on the existing beekeeping policy, targeted beekeeping extension to farmers could contribute to closing gaps in skills and resource endowments and, hence, minimising differences in income.

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In Nigeria, the inconsistency in maize production compared to the projected average output has grave implications considering the sharp increase in maize demand and its strategic importance in addressing economic welfare issues. Thus, emphasis is placed on improved agricultural technologies for increasing farming household's productivity and income. This study explored the determinant of complementary improved maize varieties (IMVs) and crop diversification (CD) adoption on smallholder maize farmers' welfare (measured by productivity and net farm income) in Ogun State, Nigeria, using a cross sectional data obtained from a multi-staged random sampling of 200 respondents. A multinomial endogenous switching regression (MESR), that correct for endogeneity and unnoticed heterogeneity was employed to analysed the data. The results from the analysis highlighted different socioeconomic characteristics, input variables, policy, and institutional variables as the determinants of the package adoption of IMVs and CD. Estimates of the average treatment effect (ATT) from the MESR model revealed that farmers who adopt IMVs and CD in combination or in isolation realised increased maize productivity and net farm income per hectare. However, farmers who adopt only IMVs achieved the highest welfare outcomes. These findings heighten that policies that stimulate IMVs adoption should be designed, prioritised and upscale to farming areas experiencing low yields to meet farmers' socioeconomic and livelihoods conditions.

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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.

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Introduction: Depression has become one of the most prevalent mental illnesses affecting the elderly in aging countries, i. e., in countries of the world whose population is slowly aging. It has become an important topic for scientists and policymakers to analyze how best to improve the elderly's mental health and save them from depression. The aim of this paper was to investigate whether and to what extent internet use may affect depression in the elderly. The heterogeneous effects of internet use on the elderly's depression across age, gender, and occupation were also investigated. Methods: The data used in the present study were gathered from the China Health and Retirement Longitudinal Study that was conducted in 2018. The propensity score matching technique and the endogenous switch regression model were employed in this study to address potential endogeneity caused by both observed and unobserved factors. Results: The results of the present study show that the elderly who are relatively young, male, well educated, live in an urban area, or have a small family are more likely to use the internet. The elderly who have healthy eyes or good eyesight, those who are not employed in the agricultural sector, or those who are retired, and those who are not eligible to receive any subsistence allowance or drink wine have a higher probability of using the internet. We also find that internet use significantly reduces the elderly's depression status by 3.370 points, which is roughly equivalent to a reduction of 37.19%. Heterogeneity analysis on internet use reveals that the health effect is particularly effective for agricultural workers, female, or the older elderly. Conclusion: The results of the present study highlight the significant welfare effects brought about by the development of internet infrastructure. To improve the mental health of the elderly, the government should encourage them to adopt the internet. In particular, the needs of the elderly who are older, female, or have agricultural work should be paid more attention to motivate them to use the internet more to alleviate depression.

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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.