Uptake and income distribution effects of targeted farm technologies on rice farmers in forest and Guinea Savannah Zones of Ghana: Does gender matter?

The issue of equitable income distribution has always been a critical objective of societies. Yet, little attention has been given to the influence of gender on outcomes of interventions. A study has established that gender is among the variables that affects income distribution of users of agricultural technologies but the extent and nature of its influence is hard to find in literature. To be able to fill this knowledge gap, data was collected from 917 individual rice farmers in Ghana. A two-step and selection bias model, Bourguignon, Fournier, and Gurgand (BFG), was adopted to reduce the severity of biases as a result of observable and unobservable factors. The result shows that gender widens the income gap between the two main gender groupings. The study is useful by offering policy suggestions to improve gender equity in targeted intervention.