PurposeRapid transformation of agrifood value chains because of population growth, urbanization, rising consumer incomes and increased demand for food quality and safety has resulted in the need for smallholder farmers to coordinate horizontally through group formation and collective marketing to improve farm performance in developing countries. This paper aims to examine the factors that influence farmer group membership and collective marketing decisions and their impacts on smallholder farm performance in rural Ghana.Design/methodology/approachUsing data from a recent survey of 447 rice farmers in rural Ghana, an endogenous switching regression model is employed to account for selection bias arising from both observable and unobservable farmer attributes.FindingsThe data reveal that group members and collective marketing participants obtained higher prices and also incurred lower input costs. The econometric estimates show that age, access to credit, mobile phone ownership, distance to market and road status are the main drivers of group membership and collective marketing decisions. The authors also find positive and significant impacts of farmer group membership and collective marketing on farm net revenues.Research limitations/implicationsThe findings from this study suggest that government and donor support for the formation of farmer groups during implementation of agriculture and value chain interventions should as well incorporate strategies to facilitate collective marketing.Originality/valueTo the best of the authors’ knowledge, this study is the first to examine the role farmer groups and collective marketing play in improving smallholder farm performance.
This paper examines the impact of rice value chain participation and social networks on smallholder farmers' market performance outcomes (paddy price, quantity of paddy traded, and net returns), using data from a recent survey of 458 smallholder rice farmers in northern Ghana. We employed a treatment effects model to account for potential selection bias associated with observable and unobservable factors. The empirical results reveal that smallholder farmers' participation in a rice value chain is associated with increased paddy price, quantity traded, and net returns. We also find that value chain participation decisions and market performance are positively and significantly influenced by social networks. The empirical results also suggest that sex, farm size, mobile phone ownership, and access to credit significantly increase paddy prices, quantity traded, and net returns of smallholder rice farmers in the value chain. 1 | INTRODUCTION In the past 2-3 decades, agricultural value chains in developing countries have experienced dramatic structural transformation, driven by several factors such as population growth, rising urbanization, increasing consumer incomes, and varying consumer dietary requirements (
Despite the fact that contracting facilitates farmer participation in agrifood value chains, evidence on farmers’ participation in different forms of contracts and the impact on farm performance is still limited. This study examines the determinants and impacts of vertical coordination mechanism‐spot market transactions, written, and verbal contract‐on‐farm performance of rice farmers in northern Ghana, using a multinomial BFG model to account for selectivity bias. The findings indicate that vertical coordination participation decision is significantly influenced by age, access to credit, labor, association membership, and sales to institutional buyers. The empirical results also reveal significant gains in farm performance outcomes from participating in written and verbal contracts, relative to spot market transactions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.