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.

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.

The chocolate market is experiencing a wave of market differentiation thanks to the emergence of the bean‐to‐bar movement. Cacao is seeing both a rise in demand for mass markets and a process of market bifurcation into more specialized, high‐quality products for wealthy urban consumers. For the specialized market, the quality and origin of the beans are important attributes. Direct trading between chocolate makers and famers seeks to promote the conservation of rare cultivars and traditional agroforestry systems, while lifting farmers out of poverty.

Determination of fish landing price is important, as the same contributes to the structure, conduct and performance of the fish market in Lake Victoria. Determination of relevant landing price is a gap to console between fishermen, agents (middlemen), processors and the government.

Smallholder farmers are one of the most vulnerable groups to climate change, yet efforts to support farmer adaptation are hindered by the lack of information on how they are experiencing and responding to climate change. More information is needed on how different types of smallholder farmers vary in their perceptions and responses to climate change, and how to tailor adaptation programs to different smallholder farmer contexts.

Promotion and supporting the adoption of land management and conservation technologies (LMCTs) among poor farming households has been considered to improve crop yields as well as production technical efficiency (TE). This article compares production efficiency between adopters and nonadopters of LMCTs in Tanzania. Using national panel data, the study applied stochastic frontier model to estimate the TE of adopters and nonadopters. The findings show that adopters of LMCTs had a relatively significantly higher TE (0.73) than their nonadopter counterparts (0.69).