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Agrifood solutions to climate change

FAO's work to tackle the climate crisis









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FAO. 2023. Agrifood solutions to climate change – FAO's work on the climate crisis. Rome.  





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    This case study analyses the economic worthiness of adaptation measures currently being practiced by some farmers on their land in Kenya. It uses cost-benefit analysis (CBA), which is recommended by the Least Developed Countries Expert Group as one of the methodologies to be used in the preparatory stages of the NAPs to rank and prioritize adaptation options according to their costs and benefits to society. The study’s findings can inform policy makers and development practitioners involved in formulating and implementing the NAP process. The study was carried out under the Integrating Agricultural Sectors into National Adaptation Plans programme (NAP-Ag), co-led by UNDP and FAO, with the aim of capacity building, generating evidence-based results for selecting adaptation options, and informing adaptation policy dialogues on adaptation in agriculture.
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    Brochure, flyer, fact-sheet
    Conservation agriculture for climate change adaptation in Zambia: A cost-benefit analysis
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    This case study reports the results of a cost-benefit analysis (CBA) applied to the Conservation Agriculture Scaling-up Project (CASU) which promoted conservation agriculture for climate change adaptation in Zambia. The study also reports an econometric analysis conducted to determine the barriers to adoption of the promoted sustainable farm management practices and to estimate the impact of factors which may facilitate adoption. This study was carried out under the Integrating Agricultural Sectors into National Adaptation Plans programme (NAP-Ag) with the aim of generating empirical evidence about adaptation options in agriculture and to inform adaptation policy dialogues in Zambia. These findings can inform policy makers and development practitioners working to promote conseravtion agriculture measures for climate change adaptation in the context of national adaptation planning processes.

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