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Impacts of considering climate variability on investment decisions in Ethiopia [in Amharic]:

Author

Listed:
  • Block, Paul J.
  • Strzepek, Kenneth
  • Rosegrant, Mark
  • Diao, Xinshen

Abstract

"Numerous studies indicate that agricultural production is sensitive to climate variability, and lack of infrastructure in developing countries increases vulnerability to extreme climate events. In Ethiopia, the historical climate record indicates frequent droughts and floods, which can devastate agricultural production and existing infrastructure. Too much precipitation can flood crops, rot or suffocate roots, and wash out roads, creating similar economic conditions to those resulting from drought. With 85 percent of the population living in rural areas, and most people depending on rainfed agriculture, Ethiopia's social and economic welfare depends heavily on climatic conditions. This brief is based on a paper that uses an economywide, multi-sector, and multi-regional model to assess the impact of climate variability on the outcomes of prospective investment strategies for Ethiopia, as well as on the country's gross domestic product growth rates and poverty rates." from text

Suggested Citation

  • Block, Paul J. & Strzepek, Kenneth & Rosegrant, Mark & Diao, Xinshen, 2008. "Impacts of considering climate variability on investment decisions in Ethiopia [in Amharic]:," Research briefs 15(12)AMH, International Food Policy Research Institute (IFPRI).
    • Handle: RePEc:fpr:resbrf:15(12)amh
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    Citations

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    Cited by:

    1. 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).
    2. Thomas Berger & Christian Troost & Tesfamicheal Wossen & Evgeny Latynskiy & Kindie Tesfaye & Sika Gbegbelegbe, 2017. "Can smallholder farmers adapt to climate variability, and how effective are policy interventions? Agent-based simulation results for Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 48(6), pages 693-706, November.
    3. Blankespoor,Brian & Ru,Yating & Wood-Sichra,Ulrike & Chambers,Thomas Timothy & You,Liangzhi & Kalvelagen,Erwin, 2022. "Estimating Local Agricultural GDP across the World," Policy Research Working Paper Series 10109, The World Bank.
    4. Karen Fisher-Vanden & Ian Sue Wing & Elisa Lanzi & David Popp, 2013. "Modeling climate change feedbacks and adaptation responses: recent approaches and shortcomings," Climatic Change, Springer, vol. 117(3), pages 481-495, April.
    5. Julia Reis & Julie Shortridge, 2020. "Impact of Uncertainty Parameter Distribution on Robust Decision Making Outcomes for Climate Change Adaptation under Deep Uncertainty," Risk Analysis, John Wiley & Sons, vol. 40(3), pages 494-511, March.
    6. Bazzana, Davide & Gilioli, Gianni & Simane, Belay & Zaitchik, Benjamin, 2021. "Analyzing constraints in the water-energy-food nexus: The case of eucalyptus plantation in Ethiopia," Ecological Economics, Elsevier, vol. 180(C).
    7. Yang, Meijian & Wang, Guiling & Lazin, Rehenuma & Shen, Xinyi & Anagnostou, Emmanouil, 2021. "Impact of planting time soil moisture on cereal crop yield in the Upper Blue Nile Basin: A novel insight towards agricultural water management," Agricultural Water Management, Elsevier, vol. 243(C).
    8. Kostandini, Genti & La Rovere, Roberto & Abdoulaye, Tahirou, 2013. "Potential impacts of increasing average yields and reducing maize yield variability in Africa," Food Policy, Elsevier, vol. 43(C), pages 213-226.

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