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Impact of climate smart agriculture on food security: an agent-based analysis

Davide Bazzana, Jeremy Foltz and Ying Zhang
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Davide Bazzana: University of Brescia, Fondazione Eni Enrico Mattei
Ying Zhang: Johns Hopkins University

No 2021.18, Working Papers from Fondazione Eni Enrico Mattei

Abstract: 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 technique. The findings reveal that CSA may 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 social networks.

Keywords: Climate Smart Agriculture; Food Security; Agent-Based Modelling; Externality; Sustainable Development (search for similar items in EconPapers)
JEL-codes: C63 O13 Q1 Q15 Q55 (search for similar items in EconPapers)
Date: 2021-05
New Economics Papers: this item is included in nep-agr, nep-env and nep-res
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Working Paper: Impact of climate smart agriculture on food security: an agent-based analysis (2021) Downloads
Working Paper: Impact of climate smart agriculture on food security: an agent-based analysis (2021) Downloads
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