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.

Improving farm-level use of multiple climate change adaptation strategies is essential for improving household food security, particularly against a backdrop of a high risk of climatic shocks. However, the empirical foundation for understanding how farm households choose multiple climate-smart practices is far from being established. In this paper, the effects of household, farm and climatic factors on farmers’ decisions to use multiple adaptation practices are analysed.

We use a dynamic system GMM regression on ve rounds of panel data to estimate the impact of international remittances on consumption of urban Ethiopian households, who spend more than 70% of their consumption budget on food. Results suggest that international remittances play a signi cant role in augmenting household consumption. A 1% increase in remittances from abroad leads to a 0.10% increase in household consumption.

Herein we investigate Life Cycle Cost (LCC) and Return on Investment (ROI) as potential decision variables for evaluating the economic performance (ROI) and financial feasibility (LCC) of a set of flood mitigation strategies over time. The main novelty of this work is the application of LCC and ROI analyses at the urban level to an asset portfolio of flood-prone buildings. Reduced flood damage is treated probabilistically as avoided costs (LCC analysis) and returns (ROI analysis), respectively.