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

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  • Bazzana, Davide
  • Foltz, Jeremy
  • Zhang, Ying

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 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.

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  • Bazzana, Davide & Foltz, Jeremy & Zhang, Ying, 2022. "Impact of climate smart agriculture on food security: An agent-based analysis," Food Policy, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:jfpoli:v:111:y:2022:i:c:s0306919222000811
    DOI: 10.1016/j.foodpol.2022.102304
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    Cited by:

    1. Abyiot Teklu & Belay Simane & Mintewab Bezabih, 2022. "Effectiveness of Climate-Smart Agriculture Innovations in Smallholder Agriculture System in Ethiopia," Sustainability, MDPI, vol. 14(23), pages 1-26, December.
    2. Sarah Ephrida Tione & Dorothy Nampanzira & Gloria Nalule & Olivier Kashongwe & Samson Pilanazo Katengeza, 2022. "Anthropogenic Land Use Change and Adoption of Climate Smart Agriculture in Sub-Saharan Africa," Sustainability, MDPI, vol. 14(22), pages 1-29, November.
    3. Taejun Mo & Hojune Lee & Sungeunsally Oh & Hyunji Lee & Brian H. S. Kim, 2022. "Economic Efficiency of Climate Smart Agriculture Technology: Case of Agrophotovoltaics," Land, MDPI, vol. 12(1), pages 1-20, December.
    4. Davide Bazzana & Aidin Mobasser & Sergio Vergalli, 2022. "Less Water, Less Oil: Policy Response for the Kenyan Future, a CGE Analysis," Sustainability, MDPI, vol. 14(18), pages 1-26, September.

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    More about this item

    Keywords

    Climate smart agriculture; Food security; Agent-based modelling; Externality; Sustainable development;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q15 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Land Ownership and Tenure; Land Reform; Land Use; Irrigation; Agriculture and Environment
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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