The purpose of this study is to provide empirical evidence on the impact of a climate-smart agricultural practice (row planting) on the welfare of rural households. Data collected from 260 households in the North Wollo Zone of Ethiopia were analyzed using Propensity Score Matching (PSM) and a semi-parametric Local Instrumental Variable (LIV) version of the generalized Roy model. The results from the PSM revealed that adoption of row planting technology has a positive and significant impact on per capita consumption and on crop income per hectare.

This study sought to identify agroforestry systems with coffee that simultaneously generate financial profits, provide goods for family consumption, and store significant amounts of carbon in aboveground biomass. We studied 27 coffee plantations in Nicaragua, grouped in four typologies defined a priori: C1, full-sun coffee; C2, coffee, bananas and service trees; C3, coffee, bananas, service and timber trees; C4, coffee, bananas, service, timber and fruit trees.