Publication: Is an Integrated Farm More Resilient against Climate Change? A Micro-econometric Analysis of Portfolio Diversification in African Agriculture
Abstract
This paper examines whether an integrated farm that owns both crops and livestock is more resilient under global warming than a specialized farm in crops. Using around 9000 farm surveys across Africa, we explore how farmers choose one of the farm types and how the net revenue of each type varies across the range of climate in Africa. The results indicate that an integrated farm increases in number while a specialized farm decreases across Africa under climate predictions for 2060. The relative profitability of each system against each other also changes. An integrated farm becomes relatively more profitable over specialized farms half a century from now. The impacts of climate change on integrated farms range from 9% loss to 27% gain depending on climate scenarios. Behavioral models can capture portfolio diversification benefits that agro-economic models cannot measure.
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Publication Measuring Impacts and Adaptations to Climate Change: A Structural Ricardian Model of African Livestock Management(2008)This article develops a new cross-sectional methodology that explicitly incorporates adaptation into an analysis of the impacts of climate change. The methodology examines how a farmer will change choices of species and number to adapt to climate. The approach is applied to study Africa, where the impacts of climate change are expected to be the most severe. The results indicate that in warmer places, African farmers switch from beef cattle to more heat-tolerant goats and sheep. In wetter places, farmers switch from cattle and sheep to goats and chickens. The results indicate that large commercial livestock operations specializing in beef cattle will be hard hit from climate change whereas small farmers who can easily substitute to goats and/or sheep will be more resilient.Publication A Ricardian Analysis of the Distribution of Climate Change Impacts on Agriculture across Agro-ecological Zones in Africa(2009)This paper examines the distribution of climate change impacts across the sixteen Agro-Ecological Zones (AEZs) of Africa. We combine net revenue from livestock and crops and regress total net revenue on a set of climate, soil, and socio-economic variables with and without country fixed effects. Although African crop net revenue is very sensitive to climate change, combined livestock and crop net revenue is more climate resilient. With the hot and dry CCC climate scenario, average damage estimates reach 27% by 2100, but with the mild and wet PCM scenario, African farmers will benefit. The analysis of AEZs implies that the effects of climate change will be quite different across Africa. For example, currently productive areas such as dry/moist savannah are more vulnerable to climate change while currently less productive agricultural zones such as humid forest or sub-humid AEZs become more productive in the future.Publication Will African Agriculture Survive Climate Change?(Oxford University Press on behalf of the World Bank, 2006-08-23)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 compared with current mean temperature. Revenues fall with warming for dryland crops (temperature elasticity of -1.9) and livestock (-5.4), whereas revenues rise for irrigated crops (elasticity of 0.5), which are located in relatively cool parts of Africa and are buffered by irrigation from the effects of warming. At first, warming has little net aggregate effect as the gains for irrigated crops offset the losses for dryland crops and livestock. Warming, however, will likely reduce dryland farm income immediately. The final effects will also depend on changes in precipitation, because revenues from all farm types increase with precipitation. Because irrigated farms are less sensitive to climate, where water is available, irrigation is a practical adaptation to climate change in Africa.Publication A Structural Ricardian Analysis of Climate Change Impacts and Adaptations in African Agriculture(World Bank, Washington, DC, 2008-04)This paper develops a Structural Ricardian model to measure climate change impacts that explicitly models the choice of farm type in African agriculture. This two stage model first estimates the type of farm chosen and then the conditional incomes of each farm type after removing selection biases. The results indicate that increases in temperature encourage farmers to adopt mixed farming and avoid specialized farms such as crop-only or livestock-only farms. Increases in precipitation encourage farmers to shift from irrigated to rainfed crops. As temperatures increase, farm incomes from crop-only farms or livestock-only farms fall whereas incomes from mixed farms increase. With precipitation increases, farm incomes from irrigated farms fall whereas incomes from rainfed farms increase. Naturally, the Structural Ricardian model predicts much smaller impacts than a model that holds farm type fixed. With a hot dry climate scenario, the Structural Ricardian model predicts that farm income will fall 50 percent but the fixed farm type model predicts farm incomes will fall 75 percent.Publication Changing Farm Types and Irrigation as an Adaptation to Climate Change in Latin American Agriculture(World Bank, Washington, DC, 2007-03)This paper estimates a model of a farm that treats the choice of crops, livestock, and irrigation as endogenous. The model is composed of a multinomial choice of farm type, a binomial choice of irrigation, and a set of conditional land value functions. The model is estimated across over 2,000 farmers in seven Latin America countries. The results quantify how farmers adapt their choice of farm type and irrigation to their local climate. The results should help governments develop effective adaptation policies in response to climate change and improve the forecasting of climate effects. The paper compares the predicted effects of climate change using both endogenous and exogenous models of farm choice.
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