Climate change and adaptation of small-scale cattle and sheep farmers

The 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...

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Bibliographic Details
Main Authors Mandleni, B, Anim, F.D.K
Format Conference Proceeding
LanguageEnglish
Published 01.04.2011
Edition353
Subjects
Binary logistic model
Climate change
Farm Management
small-scale cattle and sheep farming
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Summary:The 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.
DOI:10.22004/ag.econ.108962