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Prioritizing investments for climate-smart agriculture: Lessons learned from Mali

Author

Listed:
  • Andrieu, N.
  • Sogoba, B.
  • Zougmore, R.
  • Howland, F.
  • Samake, O.
  • Bonilla-Findji, O.
  • Lizarazo, M.
  • Nowak, A.
  • Dembele, C.
  • Corner-Dolloff, C.

Abstract

Agricultural productivity and growth in Mali are under threat from erratic rainfall, resulting in more frequent dry years. The national economy is vulnerable to climate change due to 50% of the gross domestic product coming from the agricultural sector and 75% of the population living in rural areas. The Climate-Smart Agriculture (CSA) concept arises from a need to provide innovative solutions towards the complex and integrated goals of increasing yields, improving resilience, and promoting a low emissions agricultural sector. A major challenge for policymakers to operationalize CSA is the identification, valuation (cost-benefit), and subsequent prioritization of climate-smart options and portfolios (groups of CSA options) for investment. This paper presents the process, results, and lessons learned from a yearlong pilot of the Climate-Smart Agriculture Prioritization Framework (CSA-PF) in Mali. Key national and international stakeholders participated in the co-development and prioritization of two CSA portfolios and related action plans for the Malian Sudanese zone. Initial steps towards outcomes of the process include inclusion of prioritized CSA practices in ongoing development projects and prompting discussion of modifications of future calls for agricultural development proposals by regional donors.

Suggested Citation

  • Andrieu, N. & Sogoba, B. & Zougmore, R. & Howland, F. & Samake, O. & Bonilla-Findji, O. & Lizarazo, M. & Nowak, A. & Dembele, C. & Corner-Dolloff, C., 2017. "Prioritizing investments for climate-smart agriculture: Lessons learned from Mali," Agricultural Systems, Elsevier, vol. 154(C), pages 13-24.
    • Handle: RePEc:eee:agisys:v:154:y:2017:i:c:p:13-24
    DOI: 10.1016/j.agsy.2017.02.008
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    12. Dunnett, A. & Shirsath, P.B. & Aggarwal, P.K. & Thornton, P. & Joshi, P.K. & Pal, B.D. & Khatri-Chhetri, A. & Ghosh, J., 2018. "Multi-objective land use allocation modelling for prioritizing climate-smart agricultural interventions," Ecological Modelling, Elsevier, vol. 381(C), pages 23-35.
    13. Jean-Marc MONTAUD, 2019. "Agricultural Drought Impacts on Crops Sector and Adaptation Options in Mali: a Macroeconomic Computable General Equilibrium Analysis," Working Papers 2018-2019_5, CATT - UPPA - Université de Pau et des Pays de l'Adour, revised Feb 2019.
    14. Amadu, Festus O. & McNamara, Paul E. & Miller, Daniel C., 2020. "Understanding the adoption of climate-smart agriculture: A farm-level typology with empirical evidence from southern Malawi," World Development, Elsevier, vol. 126(C).
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    17. Jean-Marc Montaud, 2019. "Agricultural Drought Impacts on Crops Sector and Adaptation Options in Mali: a Macroeconomic Computable General Equilibrium Analysis," Working Papers hal-02141050, HAL.
    18. Dmitry A. Ruban & Natalia N. Yashalova & Olga A. Cherednichenko & Natalya A. Dovgot’ko, 2020. "Climate Change, Agriculture, and Energy Transition: What Do the Thirty Most-Cited Articles Tell Us?," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
    19. Acosta-Alba, Ivonne & Chia, Eduardo & Andrieu, Nadine, 2019. "The LCA4CSA framework: Using life cycle assessment to strengthen environmental sustainability analysis of climate smart agriculture options at farm and crop system levels," Agricultural Systems, Elsevier, vol. 171(C), pages 155-170.
    20. Giulio Fusco & Marta Melgiovanni & Donatella Porrini & Traci Michelle Ricciardo, 2020. "How to Improve the Diffusion of Climate-Smart Agriculture: What the Literature Tells us," Sustainability, MDPI, vol. 12(12), pages 1-15, June.

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