This paper examines how farmers have adapted their livestock operation to the current climate in each agro-ecological zone in Africa. The authors examine how climate has affected the farmer's choice to raise livestock or not and the choice of animal species. To measure adaptation, the analysis...

Measurement of the likely magnitude of the economic impact of climate change on African agriculture has been a challenge. Using data from a survey of more than 9,000 farmers across 11 African countries, a cross-sectional approach estimates how farm net revenues are affected by climate change...

This study links models of global climate circulation, ecology, and economic valuation (hedonic travel cost and random utility models) to value the impact of global warming on freshwater sportfishing in the northeastern United States. An origin-specific linear random utility model (RUM) is...

This study examines the impact of climate change on cropland in Africa, using a Ricardian cross-sectional approach. Relying on farm data from an 11-country survey of over 9500 farmers, annual net revenue is regressed on climate and other variables. The study confirms that current climate affects...

This paper examines the impact of climate change on primary crops grown in Africa. An innovative approach is presented that bridges the gap between agro-economic and traditional Ricardian models. We label it a ‘structural Ricardian model’. It first captures the type of crop a farmer...

This paper uses a cross-sectional approach to analyze the impacts of climate change on animal husbandry and the way farmers adapt. The study is based on surveys of almost 5000 livestock farmers across ten countries in Africa. A traditional Ricardian regression finds that the livestock net...

This paper examines climate change impacts on South American agriculture using a set of Ricardian regressions estimated across different samples of farms in South America. Regressions are run for the whole sample and for subsamples of crop-only, mixed, and livestock-only farms. The results...