This paper discusses a methodology to model precipitation indices and premium prices for index-based drought insurance for smallholders. Spatial basis risk, which is borne by the insured, is a problem, especially in variable topography. Also, site-specific drought risk needs to be estimated accurately in order to offer effective insurance cover and ensure financial sustainability of the insurance scheme. We explore farmers' perceptions on drought and spatial climate variability and draw conclusions concerning basis risk with regards to the proposed methodology.

This conference proceedings from the OECD Conference on Agricultural Knowledge Systems (AKS), held in Paris, on 15-17 June 2011, discusses a large range of experiences and approaches to AKS  explores how to foster development and adoption of innovation to meet global food security and climate change challenges. The conference considered developments in institutional frameworks, public and private roles and partnerships, regulatory frameworks conducive to innovation, the adoption of innovations and technology transfers, and the responsiveness of AKS to broader policy objectives.

Most micro-level studies on the impact of agricultural technologies build on cross-section data, which can lead to unreliable impact estimates. Here, we use panel data covering two time periods to estimate the impact of tissue culture (TC) banana technology in the Kenyan small farm sector. TC banana is an interesting case, because previous impact studies showed mixed results. We combine propensity score matching with a difference-in-difference estimator to control for selection bias and account for temporal impact variability.

This paper sets out to determine the impact of Integrated Agricultural Research for Development in three selected countries of Southern Africa. Agricultural productivity in Southern Africa faces several challenges, of which poor soil fertility strikes out as the priority problem inhibiting increased productivity in farmers’ fields. While several soil fertility management technologies are being promoted in the region, their uptake by smallholder farmers remains very low.

Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.