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ABSTRACT

CONTEXT: The introduction of quality-certified seed (QCS) in the informal farmer network-based seed systems, which have largely relied on informal signals of quality, represents a promising innovation towards integrated seed sector development, combining formal and informal sector elements. At the same time, behavioral nudges have emerged as potentially powerful ways to encourage the uptake of innovations among smallholder farmers in developing countries.

ABSTRACTWe investigate the causal impact of the Kenya 2008 post‐election violence on rural farm households' welfare, including per capita income. We explore potential causal pathways through which post‐election violence might have affected household welfare, including crop income, livestock income and off‐farm income.

PurposeThis study aims to focus on assessing the status of agribusiness enterprises in Nigeria. The specific goals were to ascertain the level of performance of different categories of agribusiness enterprises, and determine the institutional and firm-level characteristics that influence agribusiness performance.Design/methodology/approachThe study is based on secondary data. These data were sourced from the World Bank business enterprise survey. The World Bank Enterprise survey employed a purposive sampling technique to select major staple agribusiness categories in Nigeria.

The rising demand for sustainable agriculture is driving a global shift toward eco-friendly vegetable production methods that prioritise human health and environmental protection Vegetables. However, the level of uptake of eco-friendly practices and their drivers are poorly understood, which prompts the current study. A semi-structured questionnaire was used to collect data from 300 randomly selected vegetable farmers in Enugu State. Descriptive statistics and multinomial logistic regression were used for data analysis.

Abstract 

This study analysed rural-urban differentials in the utilisation of Artificial Intelligence (AI) for improved crop production among farmers in Nigeria. It specifically examined the level of awareness and utilisation of AI, the effect of AI usage on crop production, and the challenges associated with the awareness and utilisation of AI. 316 respondents were selected through multistage sampling, and data were analysed using descriptive statistics and OLS regression. Urban farmers (16.46%) were more aware than rural farmers (10.13%), and the awareness was more among young farmers (17.40%).

This study examined the determinants of food security among female and male farming households in Enugu State. Specifically, it assessed the food security status by sex, identified the determinants and limitations of food security, and explored coping strategies. Using a multi-stage sampling approach, data were collected from 90 respondents via structured questionnaires. The analysis employed the Rasch model, ordered logit model, and mean. Results showed that male-headed households were more food secure than female-headed ones.