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Farmers' prioritization of climate-smart agriculture (CSA) technologies

Autor: Khatri-Chhetri, A.
Autor: Aggarwal, P.K.
Autor: Joshi, P.K.
Autor: Vyas, A.K.
Año: 2017
URI: http://hdl.handle.net/10883/18301
Descripción: Farmers
Descripción: Climate-smart agriculture
Resumen: Addressing climate change impacts on agriculture is special challenge. There are number of factors that influence the extent to which farmers in a particular location adopt CSA technologies. This study applied a participatory assessment method to assess farmers' preferences and willingness-to-pay for selected CSA practices and technologies in diverse rainfall zones. The study found that farmers' preferences for CSA technologies are marked by some commonalities as well as differences according to their socio-economic characteristics and rainfall zones. The most preferred technologies by local farmerswere crop insurance, weather-based crop agro-advisories, rainwater harvesting, site-specific integrated nutrient management, contingent crop planning and laser land levelling. The results also indicate that farmers' preferences and willingness-to-pay are influenced by technologies and their cost of implementation. This study shows the potential for using a participatory CSA prioritization approach to provide information on climate change adaptation planning at local level.
Lenguaje: English
Editor: Elsevier
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Tipo: Article
Lugar: United Kingdom
Paginas: 184-191
Revista: Agricultural Systems
Volumen de la Revista: 151
DOI: 10.1016/j.agsy.2016.10.005


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    Including topics such as farming systems, markets, impact & targeting, innovations, and GIS

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