This paper examines technical efficiency in farming activities and its implication on forest conservation in Kilosa District. The empirical analysis is based on data collected from 301 households selected randomly from five villages in Kilosa district, of which three villages were under the REDD+ project. Two empirical models were estimated: stochastic frontier Translog production function, and forest resources extraction model.

This paper examines the effect of farmers’ liability on demand for credit with and without insurance. We test predictions of a theoretical model in a lab in the field experiment with coffee farmers in Costa Rica.

Climate change will affect the distribution, productivity and profitability of coffee production in Central America, negatively impacting national economies and small farmer livelihoods.

Agriculture is one of the most vulnerable economic sectors to the impacts of climate change, specifically those related with expected changes in water availability.  By using a hydro-economic model, this study assesses the distributional impacts of climate change, considering the geographical location of each farmer’s community and the spatial allocation of water resources at basin scale.  A hydrological model, the Soil and Water Assessment Tool model, describes the basin hydrology, while farmers’ economic responses are represented using a non-linear agricultural supply model.&nbs

This paper uses the water-reallocation scheme created within the National Water Act (1998) to analyze the impacts of water policy on farm livelihoods in South Africa. Based on one of the most water stressed catchments in the country, the Olifants river basin, we provide an integrated modeling approach combining water and agricultural modules to investigate the impacts of compulsory licensing and water market on crop production and investment made to improve water use efficiency.

Resource-poor rural South Africa is characterized by high human densities due to the historic settlement patterns imposed by apartheid, high levels of poverty, under-developed markets and substantially high food insecurity. This chronic food insecurity, combined with climate and weather variability, has led to the adoption of less-conventional adaptation methods in resource-poor rural settings.

This paper uses sex-disaggregated survey data at the plot level to test whether there are systematic gender differences in the adoption of multiple sustainable intensification practices (SIPs) in Kenya.

Majority of the households living adjacent to the forest depend primarily on agriculture and secondarily on forest resources. For these households, agriculture plays a key role, for subsistence needs and as the source of income, forest on the other hand is the major source of energy, building materials and income as well.