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.

With increasingly improved cooking stoves (ICS) that aim to reduce fuelwood consumption by forest-dependent households, more evidence of what drives households to adopt ICS is needed. Using data from a representative sample (N=271) of households in a rural part of eastern Tanzania, we estimated a mixed logit model to take into account the limitations of the standard multinomial logit model and relaxed the restrictive assumption of the conditional logit model.

Many economists have long held that carbon pricing—either through a carbon tax or cap-and-trade—is the most cost-effective way to decarbonize energy systems, along with subsidies for basic research and development. Meanwhile, green innovation and industrial policies aimed at fostering low-carbon energy technologies have proliferated widely. Most of these predate direct carbon pricing.

There is growing interest in promoting the use of Ecosystem-based Adaptation (EbA) practices to help smallholder farmers adapt to climate change, however there is limited information on how commonly these practices are used by smallholder farmers and what factors influence their use. Using participatory mapping and field surveys, we examined the prevalence and characteristics of EbA practices on 300 smallholder coffee and maize farmers in six landscapes in Central America and explored the socioeconomic and biophysical factors associated with their use.