Climate change and adaptation of small-scale cattle and sheep farmers
AbstractThe main objective of this study was to investigate the factors that affected the decision of small-scale farmers who kept cattle and sheep on whether to adapt or not to climate changes. The Binary Logistic Regression model was used to investigate farmers’ decision. The results implied that a large number of socio-economic variables affected the decision of farmers on adaptation to climate changes. The study concluded that the most significant factors affecting climate change and adaptation were non-farm income, type of weather perceived, livestock ownership, distance to weather stations, distance to input markets, adaptation choices and annual average temperature.
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Bibliographic InfoPaper provided by Agricultural Economics Society in its series 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK with number 108962.
Date of creation: Apr 2011
Date of revision:
Climate change; small-scale cattle and sheep farming; Binary logistic model; Farm Management;
This paper has been announced in the following NEP Reports:
- NEP-AGR-2011-08-15 (Agricultural Economics)
- NEP-ALL-2011-08-15 (All new papers)
- NEP-ENE-2011-08-15 (Energy Economics)
- NEP-ENV-2011-08-15 (Environmental Economics)
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