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.

The vulnerabilities of coastal communities have increased in recent years, as more people have to live in hazard-prone areas due to population growth. The east coast of India is one such vulnerable area that faces the combined challenge of climate risks and poverty. This study identifies the environmental and socioeconomic factors contributing to the resilience building that helped the communities in the study area to cope with cyclone Phailin in 2013 and cyclone Hudhud in 2014. We used questionnaire surveys, GIS and satellite data, and econometric analysis to identify these features.

We analyze the impact of a new storage technology and training on post-harvest losses among small-scale maize farmers in rural Tanzania. The analysis is based on data collected by means of a randomized controlled trial (RCT) in which farmers were randomized into one of three groups: a control group and two treatment groups. Farmers in the first treatment group received training on post-harvest management practices, and farmers in the second treatment group were provided with hermetic (airtight) bags for storing maize, as well as the training administered to the first treatment group.

This paper examines relationships between crop insurance and input technology decisions among Chilean wheat farmers. Using nationwide farm-level data, a bivariate probit model is estimated. We investigate the extent to which the adoption of production input technologies is associated with farmers’ participation in the

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