A gendered approach to determinants of adoption of cassava-legume intensification technology and its impact on households’ poverty status in innovation platforms of Southwestern Nigeria

The scourge of poverty has spread over Nigeria. Efforts to address the problem have yielded no tangible results. This study investigated a gendered approach to determinants of adoption of cassava-legume intensification technology and its impact on households’ poverty status in innovation platforms. A multistage sampling technique was used in selecting 160 respondents. The adoption index, the Tobit regression model, FGT analysis, and the ordered probit regression model were used to analyze the data. The adoption intensity of cassava-legume intensification technology was relatively low (28.06%), with that of female gender households 3.20% higher than that of their male counterparts. The Tobit regression model revealed that the intensity of adoption of cassava-legume technology was positively and significantly influenced by the years of education, household size, credit accessibility and household gender participation, among other factors. In addition, the ordered probit regression model revealed that revenue generated from cassava-legume, adoption intensity of the technology, extension visits, and gender of the household head were significant factors positively affecting household poverty while household size negatively affected household poverty. This indicates that cassava-legume intensification technology can assist individuals in escaping poverty. Gender sensitivity should, however, be considered when adopting new technologies, and an enabling atmosphere should be developed to enable women to participate.