In this paper, after a review of the evolution of the literature on climate change economics in agriculture, I present some evidence of the impact of different moments of the distribution of rainfall on farmers risk aversion.

It is found that while more rainfall is negatively associated with the probability of observing risk aversion, rainfall variability is positively correlated. This result highlights an important behavioural dimension of climatic factors.

This paper analyses the role of institutional isolation on crop productivity in Kenya using household survey data. The study is based on the theory of agricultural household models and the sustainable land management framework.

This paper investigates impact heterogeneity in the adoption of improved maize varieties using data from rural Tanzania. We used a generalized propensity-score matching methodology, complemented with a parametric econometric method to check the robustness of results.

This study investigates the impact of package adoption of inorganic fertilizers and improved maize seed varieties on yield among smallholder households in Kenya. We used a quasi-experimental difference-in-differences approach combined with propensity score matching to control for both time-invariant and unobservable household heterogeneity.

The People’s Republic of China-Global Environment Facility Partnership to Combat Land Degradation in Dryland Ecosystems promotes an integrated ecosystem management (IEM) approach to restore, sustain and enhance the productive capacity of dryland ecosystems.

Itinerant traders provide an important route for West Africa’s farmers’ to get their perishable produce rapidly to the distant urban markets. But these farmers often accuse the traders of offering “unfairly” low prices while preventing direct access to these markets.

This paper integrates soil science variables into an economic analysis of agricultural output among small-scale farmers in Kenya's highlands. The integration is valuable because farmers’ choice of inputs depends on both the status of the soil and socioeconomic conditions. The study uses a stochastic production frontier in which the individual farm's distance to the frontier depends systematically on individual factors.