What are key characteristics of rural innovators? How are their experiences similar for women and men, and how are they different? To examine these questions, this study draw on individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The data form part of 84 GENNOVATE community case studies from 19 countries. Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, we combine variable-oriented analysis and analysis of specific individuals’ lived experience.
Based on 25 case studies from the global comparative study ‘GENNOVATE: Enabling gender equality in agricultural and environmental innovation’, this paper explores rural young women’s and men’s occupational aspirations and trajectories in India, Mali, Malawi, Morocco, Mexico, Nigeria, and the Philippines. The study draw upon qualitative data from 50 sex-segregated focus groups with the youth to show that across the study’s regional contexts, young rural women and men predominantly aspire for formal blue and white-collar jobs
Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostlywithout considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oilpalm sector of Ghana, explicitly differentiating between two types of contracts,namely simple marketing contracts and more comprehensive resource-providing contracts.
In the existing literature, the effects of contract farming on household welfare were examined with mixed results. Most studies looked at single contract types. This paper contributes to the literature by comparing two types of contracts – simple marketing contracts and resource- providing contracts – in the Ghanaian oil palm sector. We investigate the effects of both contracts on farm income, as well as spillovers on other household income sources. We use survey data collected with an innovative sampling design and a control function approach to address possible issues of endogeneity.