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Abstract: 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.
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.
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.
This study examines the impact of climate change on cropland in Africa. It is based on a survey of more than 9,000 farmers in 11 countries: Burkina Faso, Cameroon, Egypt, Ethiopia, Ghana, Kenya, Niger, Senegal, South Africa, Zambia, and Zimbabwe. The study uses a Ricardian cross-sectional approach in which net revenue is regressed on climate, water flow, soil, and economic variables. The results show that net revenues fall as precipitation falls or as temperatures warm across all the surveyed farms. In addition to examining all farms together, the study examined dryland and irrigated farms separately. Dryland farms are especially climate sensitive. Irrigated farms have a positive immediate response to warming because they are located in relatively cool parts of Africa. The study also examined some simple climate scenarios to see how Africa would respond to climate change. These uniform scenarios assume that only one aspect of climate changes and the change is uniform across all of Africa. In addition, the study examined three climate change scenarios from Atmospheric Oceanic General Circulation Models. These scenarios predicted changes in climate in each country over time. Not all countries are equally vulnerable to climate change. First, the climate scenarios predict different temperature and precipitation changes in each country. Second, it is also important whether a country is already hot and dry. Third, the extent to which farms are irrigated is also important.
The specific focus of this seminal work is on the economic impact of climate change on agriculture world wide, and how faced with the resultant environmental alterations, agriculture might adapt under varied and varying conditions. Enhanced with a detailed and comprehensive index, Climate Change and Agriculture is highly recommended for academic library environmental studies and economic studies reference collections and supplemental reading lists. The Midwest Book Review Despite its great importance, there are surprisingly few economic studies of the impact of climate on agriculture and how agriculture can adapt under a variety of conditions. This book examines 22 countries across four continents, including both developed and developing economies. It provides both a good analytical basis for additional work and solid results for policy debate concerning income distributional effects such as abatement, adaptation, and equity. Agriculture and grazing are a central sector in the livelihood of many people, particularly in developing countries. This book uses the Ricardian method to examine the impact of climate change on agriculture. It also quantifies how farmers adapt to climate. The findings suggest that agriculture in developing countries is more sensitive to climate than agriculture in developed countries. Rain-fed cropland is generally more sensitive to warming than irrigated cropland and cropland is more sensitive than livestock. The adaptation to climate change results reveal that farmers make many adjustments including switching crops and livestock species, adopting irrigation, and moving between livestock and crops. The results also reveal that impacts and adaptations vary a great deal across landscapes, suggesting that adaptation policies must be location specific. Finally, the book suggests a research agenda for the future. Economists in academia and the public sector, policy analysts and development agencies will find this broad study illuminating.
This paper measures the economic impact of climate on crops in Kenya. The analysis is based on cross-sectional climate, hydrological, soil, and household level data for a sample of 816 households, and uses a seasonal Ricardian model. Estimated marginal impacts of climate variables suggest that global warming is harmful for agricultural productivity and that changes in temperature are much more important than changes in precipitation. This result is confirmed by the predicted impact of various climate change scenarios on agriculture. The results further confirm that the temperature component of global warming is much more important than precipitation. The authors analyze farmers' perceptions of climate variations and their adaptation to these, and also constraints on adaptation mechanisms. The results suggest that farmers in Kenya are aware of short-term climate change, that most of them have noticed an increase in temperatures, and that some have taken adaptive measures.
"Joint Publication with the American Society of Agronomy."
This book illustrates the World Bank’s commitment to assist countries to respond to the opportunities and challenges posed by climate change. Undertaken in collaborative partnership with policy makers, farmers, civil society, and other stakeholders in Armenia, Azerbaijan and Georgia, it provides a much needed response to the call for action by quantifying the impact and identifying key priorities for policies, programs, and investments to reduce the vulnerability of agricultural systems to climate change in the South Caucasus. The study responds to the urgent need for climate adaptation, as highlighted in the World Bank’s “Turn Down the Heat” report. Notably, the South Caucasus is already contending with increasing aridity and more frequent extreme weather events (e.g. severe droughts, floods and hailstorms). It presents practical solutions for a more climate smart agriculture, at the regional, national and agro-ecological zone level in each country. The recommendations offered in this book are a compilation of the results of the three national studies, and highlight the need and potential for regional collaborative action to increase benefits, while also continuing to emphasize the need for an effective response at the national level. The national level results are supported by country reports, which provide more details. This work is but an important beginning. To achieve the goals of climate resilience in the agriculture sector, more work is needed to translate the proposals into reality. The analysis demonstrates that investments in irrigation infrastructure and on-farm technologies have great potential to raise agricultural productivity and improve the climate resilience of the sector. Demand-side agricultural water management will have high short-term payoffs, and these short-term payoffs are complementary to the success of long- term irrigation, drainage and other infrastructure investments. Strengthening the disaster risk management strategies (beyond agricultural measures) are also needed to help mitigate household risks from extreme events, especially for the poorest, who are the most vulnerable.