Impact of climate smart agriculture on food security: An agent-based analysis
Davide Bazzana (Department of Economics and Management, University of Brescia and Fondazione Eni Enrico Mattei); Jeremy Foltz (Department of Agricultural and Applied Economics, University of Wisconsin-Madison); Ying Zhang (Joint Global Change Research Institute, Pacific Northwest National Laboratory and Department of Earth and Planetary Sciences, Johns Hopkins University)
Food Policy, Volume 111, August 2022
The study proposes an agent-based model to investigate how adoption of climate smart agriculture (CSA) affects food security. The analysis investigates the role of social and ecological pressures (i.e. community network, climate change and environmental externalities) on the adoption of physical water and soil practices as well as crop rotation techniques in rural Ethiopia. The findings reveal that CSA can be an effective strategy to improve the rural populations’ well-being for farm households with access to capital, strong social networks and access to integrated food markets. The climate scenario simulations indicate that farmers adopting CSA fare better than non-adopters, although CSA adoption does not fully counterbalance the severe climate pressures. In addition, farmers with poor connections to food markets benefit less from CSA due to stronger price oscillations. These results call for an active role for policy makers in encouraging adaptation through CSA adoption by increasing access to capital, improving food market integration and building information sharing among farmers.