Abstract

Purpose – Climate change has become one of the most important development challenges worldwide. It affects various sectors, with agriculture the most vulnerable. In Ethiopia, climate change impacts are exacerbated due to the economy’s heavy dependence on agriculture. The Ethiopian Government has started to implement its climate-resilient green economy (CRGE) strategy and reduce CO2 emissions. Therefore, the purpose of this study is to examine the impact of CO2 emission on agricultural productivity and household welfare.

Attempts to structurally transform segments of the agri-food system inevitably involve trade-offs between the priorities of actors with different incentives, perspectives and values. Trade-offs are context-specific, reflecting different socio-economic and political realities. We investigate the potential of structured boundary objects to facilitate exposing and reconciling these trade-offs within the context of multistakeholder social learning processes with pastoral and mixed crop-livestock communities in Burkina Faso, Ethiopia and Tanzania.

Demand for animal sourced food is predicted to double in the upcoming 20 years in Sub-Saharan Africa. This is simultaneously a big opportunity in terms of poverty reduction and a significant threat to the environment. The objective of this paper is to present an approach to co-create a set of viable and acceptable development pathways for the livestock sector that maximizes benefits from increased production, exploits the synergies between livestock and the environment, while minimizing the negative effects.

This paper examines farmers’ cognitive perceptions of risk and the behavioral intentions to implement specific drought risk reduction measures using the Protection Motivation Theory (PMT) model. We follow an innovative route by extending a PMT model with a drought experience variable, which, we hypothesize, will influence risk perceptions and the take-up of adaptation measures. In order to do so, we investigated detailed historical drought patterns by looking at the spatial and temporal aspects of drought conditions during crop growing season at the village level.

Employing a multilevel model, this paper demonstrates the importance of contextual effects, over and above the compositional effects, in shaping the geographical pattern of agricultural diversification towards high value crops. The results reveal that, besides household-level differences, the contextual effects of higher geographical levels, especially states and villages, explain significant variation in land-use under high value crops, but these do not apply to all types of crops and farm classes in a similar manner.

Drought is an important downside risk in Indian agriculture; and the spatial differences in its intensity and probability of occurrence are considerable. To develop strategies to manage the risk of drought, and to coordinate and implement these strategies, it is essential to understand the variation in drought risk across geographical or administrative levels. This paper, using a multilevel modeling approach, decomposes the variation in drought risk across states, regions, districts, villages and households, and finds it disproportionately distributed.