Involving diverse segments of a target population in agricultural innovation interventions allows for more inclusive and equitable processes while stimulating local innovation and development outcomes. But what are the key characteristics of rural innovators? And how are their experiences similar for women and men, and how are they different?
To examine these questions, a team of researchers from CIMMYT, collaborating CGIAR centers, and Wageningen University and Research conducted individual interviews with 336 rural women and men known in their communities for trying out new things in agriculture. The results of this study are collected in 84 GENNOVATE community case studies from 19 countries across Africa, Asia, and Latin America.
Building on study participants’ own reflections and experiences with innovation in their agricultural livelihoods, the research team combined variable-oriented analysis with analysis of specific individuals’ lived experience. The study provides in-depth knowledge on how the characteristics and experiences of individual innovators interlink with the social setting to facilitate or impede innovation.
Results indicate that factors related to personality and agency are what most drive capacity to innovate. Access to resources is not a prerequisite but an important enabling aspect. Women have great potential for local innovation, but structural inequalities mean that men are often better positioned to access resources and leverage support – as a result when women challenge the status quo, men’s support is important.
This paper draws on data collected as part of GENNOVATE case studies funded by the CGIAR Research Programs on Wheat, Maize, Grain Legumes, Humid Tropics and Rice, as well as RTB (Roots, Tubers and Bananas), A4NH (Agriculture for Nutrition and Health) and FTA (Forests, Trees and Agroforestry).
Development of research design and field methodology was supported by the CGIAR Gender & Agricultural Research Network, the World Bank, the governments of Mexico and Germany, and the CGIAR Research Programs on Wheat and Maize. Data analysis was supported by the Bill & Melinda Gates Foundation.
Women farmers in Nepal use a mini tiller for direct seeding. (Photo: P.Lowe/CIMMYT)
Check out other recent publications by CIMMYT researchers below:
Facilitating change for climate-smart agriculture through science-policy engagement. Dinesh, D., Zougmore, R., Vervoort, J., Totin, E., Thornton, P.K., Solomon, D., Shirsath, P.B., Pede, V.O., Lopez-Noriega, I., Läderach, P., Korner, J., Hegger, D., Girvetz, E.H,. Friis, A.E., Driessen, P.P.J., Campbell, B.M. In: Sustainability v. 10, no. 8, art. 2616.
Assessment of management options on striga infestation and maize grain yield in Kenya. Kanampiu, F., Makumbi, D., Mageto, E.K., Omanya, G., Waruingi, S., Musyoka, P., Ransom, J. K. In: Weed Science v. 66, no. 4, p. 516-524.
Maize combined insect resistance genomic regions and their co-localization with cell wall constituents revealed by tissue-specific QTL meta-analyses. Badji, A., Otim, M., Machida, L., Odong, T., Kwemoi, D.B., Okii, D., Agbahoungba, S., Mwila, N., Kumi, F., Ibanda, A., Mugo, S.N., Kyamanywa, S., Rubaihayo, P. In: Frontiers in Plant Science v. 9, art. 895.
Gender and equitable benefit-sharing mechanisms through agricultural innovation platforms in Rwanda. Adam, R.I., Misiko, M.T., Dusengemungu, L., Rushemuka, P.N., Mukakalisa, Z. In: Community Development vol. 49, no. 4, p. 380-397
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea. Roorkiwal, M., Jarquín, D., Muneendra K. Singh., Pooran M. Gaur., Chellapilla Bharadwaj., Abhishek Rathore., Howard, R., Samineni Srinivasan., Ankit Jain., Vanika Garg., Sandip Kale., Annapurna Chitikineni., Shailesh Tripathi., Jones, E., Robbins, K., Crossa, J., Varshney, R. K. In: Scientific Reports v. 8, art. 11701.