The article aims to analyze the effect of training programs on the yield of smallholder farmers. The empirical analysis employed a sample of data collected from a rice farming household in the Mvomero district of Tanzania. The results indicate that the yield outcome among trained and non-trained farmers with water access for irrigation was significantly more than double; however, the yield difference between trained and non-trained farmers was insignificant in non-irrigated plots. Our findings have policy implications for agricultural development in developing countries where training programs alone may not be a panacea for smallholder farmers’ productivity improvement. Therefore, respective governments, policymakers, and other agricultural stakeholders, should consider both farm and non-farm factors altogether, which may increase agricultural training effectiveness to address the challenges of low yields.

Using individual data collected in rural China and adopting Heckman's two‐step function, we examined the impact of childcare and eldercare on laborers' off‐farm activities. Our study finds that having school‐aged children has a negative impact on rural laborers' migration decisions and a positive impact on their decision to work in the local off‐farm employment market. As grandparents can help to take care of young children, the impact of preschoolers is insignificant. Having elderly family to care for decreases the income earned by female members of the family. Although both men and women are actively engaged in off‐farm employment today in rural China, this study shows that women are still the primary care providers for both children and the elderly. Therefore, reforming public school enrollment and high school/college entrance examination systems so that migrant children can stay with their parents, this will help rural laborers to migrate to cities. The present study also calls for more public services for preschoolers and the elderly in rural China.

The rapid development of mechanization has been well reported, but its impact on China’s agricultural production remains unclear. This study first uses a theoretical model to analyse the impact of mechanization on sown areas of different crops. The results show that mechanization has a positive impact on grain crops and a negative impact on non-grain crops. Then using nationally representative provincial-level panel data, the empirical analyses confirm these results. Thus, the sown areas of cotton, oil and sugar crops will be reduced by more than 20% within five years. Consequently, China is expected to depend on international markets to meet the domestic demand for cotton, oil and sugar in the future. Even though mechanization has a positive impact on the sown areas of grain crops, a reduction in the diversity of grain production poses a new threat to the stability of China’s grain production and food security.

The economic benefits of insect-resistant genetically modified (GM) crops have been well documented, but the impact of such crops and the consequent reduction in pesticide use on farmers’ health remains largely unknown. Through the analysis of the data collected from the physical examination from farmers in China, we show that GM rice significantly reduces pesticide use and the resultant not only visible but also invisible adverse effects on farmers’ neurological, hematological, and electrolyte system. Hence, the commercialization of GM rice is expected to improve the health of farmers in developing countries, where pesticide application is necessary to mitigate crop loss.