Associate Professor Karen Macours, Paris School of Economics
Start: Jul 2014 | End: Jun 2017
This project aims to contribute to a better understanding of how agricultural productivity of smallholder farmers in Sub-Saharan Africa can be raised through: a) better access to information and regulation of input quality and b) adjustments in agricultural innovation process that account for context and behavioural constraints.
Three research questions will be studied:
Is the heterogeneous and hidden quality of inputs a barrier to technology adoption? If so, would the best solution be: recommendation of interventions that guide the farmers toward the right inputs; regulation; or diffusion of information?
Do estimates regarding returns to new technologies provide biased estimates for the response to inputs in real life conditions? If so, what are the most important sources of such bias, and how can trials be designed to avoid them?
Does learning-by-doing and learning-from-others regarding new agricultural technologies differ depending on soils, skills and gender? And does this heterogeneity provide useful lessons for the design of more inclusive extension models, and on the role of own experimentation in such models?
Two Randomised Controlled Trials (RCT) will be conducted in order to collect several rounds of panel data for the study of dynamic adoption processes. This will be complemented by information from soil samples and by detailed information on farmers’ cognitive, non-cognitive and technical skills.