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The purpose of this study is to estimate the profitability of rice production for irrigated and rain-fed farmers; determine the factors that influence farmers' decision to participate in irrigation and the impact of irrigation on rice farmers' profitability in northern Ghana.

Using cross-sectional data collected from 543 rice farmers in northern Ghana, the study employed both non-parametric (cost benefit analysis) and parametric (endogenous switching regression) approaches to analyse the data.

The empirical results reveal a significant difference between the profits of irrigated (GHS 2442.30) and rain-fed farmers (GHS 576.20), as well as the cost-benefit ratios between irrigators (2.53) and rain-fed farmers (1.37). Also, participation in irrigation was found to be influenced by relatively small farm size and off-farm income; while profitability was influenced by membership in a farmer-based organization, access to agricultural extension services and perception of decreasing rainfall intensity. Irrigation also had a positive significant net impact on profitability of rice production.

The results provide justification for development partners and the government of Ghana through the “one-village-one-dam” policy, to invest in irrigation in northern Ghana in order to improve household welfare as well as build resilience for sustainable production systems.

This study is the first of its kind to provide a robust analysis of the difference in profits of rain-fed and irrigated rice farmers while estimating the determinants of Ghanaian farmers' choice of either of the regimes within a bias-corrected framework.

Cocoa is regarded as a brown-golden crop, but its value chain activities are dominated by the elderly. Hence, focussing attention on the young generation of farmers is the surest way to reverse this trend and secure the future of the cocoa industry. This paper, therefore explores factors influencing youth participation in cocoa value chain activities in Ghana.

Primary data were collected using a multistage sampling technique. The authors used a semi-structured questionnaire in collecting data via interviews. Through the theory of utility maximization, a multivariate probit (MVP) model was estimated to identify factors influencing youth participation in cocoa value chain activities in Ghana.

The author found that some of the value chain activities are complementary, while others are substitutes. Participation in cocoa value chain activities is influenced by access to land, participation in training programmes in cocoa production, membership of Next Generation Cocoa Youth Programme (MASO), access to agricultural credit and other demographic characteristics.

Relevant information and youth-targeted projects enhance their participation in value chain activities.

This paper is one of the few studies that empirically analyses drivers of youth participation in cocoa value chain activities in Africa.