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  • Mendelsohn, Robert  (14)
  • Washington, D.C : The World Bank  (14)
  • Agriculture  (14)
  • Social Protections and Labor
  • 1
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (42 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Niggol Differential Adaptation Strategies To Climate Change In African Cropland By Agro-Ecological Zones
    Schlagwort(e): Agriculture ; Climate Change ; Crop ; Cropland ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; Farm ; Farmers ; Farms ; Fruits ; Millet ; Vegetables ; Agriculture ; Climate Change ; Crop ; Cropland ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; Farm ; Farmers ; Farms ; Fruits ; Millet ; Vegetables ; Agriculture ; Climate Change ; Crop ; Cropland ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; Farm ; Farmers ; Farms ; Fruits ; Millet ; Vegetables
    Kurzfassung: This paper quantifies how African farmers have adapted their crop and irrigation decisions to their farm's current agro-ecological zone. The results indicate that farmers carefully consider the climate and other conditions of their farm when making these choices. These results are then used to forecast how farmers might change their irrigation and crop choice decisions if climate changes. The model predicts African farmers would adopt irrigation more often under a very hot and dry climate scenario but less often with a mild and wet scenario. However, farms in the deserts, lowland humid forest, or mid elevation humid forest would reduce irrigation even in the very hot and dry climate scenario. Area under fruits and vegetables would increase Africa-wide with the very hot and dry climate scenario, except in the lowland semi-arid agro-ecological zone. Millet would increase overall under the mild and wet scenario, but decline substantially in the lowland dry savannah and lowland semi-arid agro-ecological zones. Maize would be chosen less often across all the agro-ecological zones under both climate scenarios. Wheat would decrease across Africa. The authors recommend that care must be taken to match adaptations to local conditions because the optimal adaptation would depend on the agro-ecological zone and the climate scenario
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (30 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, S. Niggol A Structural Ricardian Analysis of Climate Change Impacts And Adaptations In African Agriculture
    Schlagwort(e): Agriculture ; Agriculture and Farming Systems ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Farm ; Farm income ; Farm incomes ; Farmer ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Rural Development Knowledge and Information Systems ; Soils ; Agriculture ; Agriculture and Farming Systems ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Farm ; Farm income ; Farm incomes ; Farmer ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Rural Development Knowledge and Information Systems ; Soils ; Agriculture ; Agriculture and Farming Systems ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Farm ; Farm income ; Farm incomes ; Farmer ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Rural Development Knowledge and Information Systems ; Soils
    Kurzfassung: 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
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  • 3
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (28 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Wang, Jinxia How China's Farmers Adapt To Climate Change
    Schlagwort(e): Agriculture ; Climate Change ; Common Property Resource Development ; Cotton ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Maize ; Oil crops ; Potatoes ; Poverty Reduction ; Rice ; Rural Development ; Rural Poverty Reduction ; Sugar ; Vegetables ; Wheat ; Agriculture ; Climate Change ; Common Property Resource Development ; Cotton ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Maize ; Oil crops ; Potatoes ; Poverty Reduction ; Rice ; Rural Development ; Rural Poverty Reduction ; Sugar ; Vegetables ; Wheat ; Agriculture ; Climate Change ; Common Property Resource Development ; Cotton ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Maize ; Oil crops ; Potatoes ; Poverty Reduction ; Rice ; Rural Development ; Rural Poverty Reduction ; Sugar ; Vegetables ; Wheat
    Kurzfassung: This paper uses a cross sectional method to analyze irrigation choice and crop choice across 8,405 farmers in 28 provinces in China. The findings show that Chinese farmers are more likely to irrigate when facing lower temperatures and less precipitation. Farmers in warmer places are more likely to choose oil crops, maize, and especially cotton and wheat, and are less likely to choose vegetables, potatoes, sugar, and especially rice and soybeans. In wetter locations, farmers are more likely to choose soybeans, oil crops, sugar, vegetables, cotton, and especially rice, and they are less likely to choose potatoes, wheat, and especially maize. The analysis of how Chinese farmers have adapted to current climate, provides insight into how they will likely adapt when climate changes. Future climate scenarios will cause farmers in China to want to reduce irrigation and shift toward oil crops, wheat, and especially cotton. In turn, farmers will shift away from potatoes, rice, vegetables, and soybeans. However, adaptation will likely vary greatly from region to region. Policy makers should anticipate that adaptation is important, that the magnitude of changes depends on the climate scenario, and that the desired changes depend on the location of each farm
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  • 4
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (31 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Niggol Long-Term Adaptation
    Schlagwort(e): Agriculture ; Agriculture and Farming Systems ; Agroclimatic conditions ; Climate Change ; Crop ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; FAO ; Farm ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Poor households ; Rural Development Knowledge and Information Systems ; Agriculture ; Agriculture and Farming Systems ; Agroclimatic conditions ; Climate Change ; Crop ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; FAO ; Farm ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Poor households ; Rural Development Knowledge and Information Systems ; Agriculture ; Agriculture and Farming Systems ; Agroclimatic conditions ; Climate Change ; Crop ; Crops and Crop Management Systems ; Ecological Zones ; Ecological zone ; Environment ; FAO ; Farm ; Farmers ; Farming ; Farms ; Livestock and Animal Husbandry ; Poor households ; Rural Development Knowledge and Information Systems
    Kurzfassung: Using economic data from more than 8,500 household surveys across 10 African countries, this paper examines whether the choice of farm type depends on the climate and agro-ecological zone of each farm. The paper also studies how farm type choice varies across farmers in each zone, using a multinomial logit choice model. Farmers are observed to choose from one of the following five types of farms: rainfed crop-only, irrigated crop-only, mixed rainfed (crop and livestock), mixed irrigated, and livestock-only farming. The authors compare current decisions against future decisions as if the only change were climate change. They focus on two climate scenarios from existing climate models: the Canadian Climate Centre scenario, which is hot and dry, and the Parallel Climate Model scenario, which is mild and wet. The results indicate that the change in farm types varies dramatically by climate scenario but also by agro-ecological zone. Policy makers must be careful to encourage the appropriate suite of measures to promote the most adapted farm type to each location
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (41 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Wang, Jinxia Can China Continue Feeding Itself ?
    Schlagwort(e): Agricultural Commodities ; Agriculture ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Global Environment ; Global Warming ; Greenhouse Gases ; Ipcc ; Precipitation ; Rural Development ; Rural Development Knowledge and Information Systems ; Temperature ; Agricultural Commodities ; Agriculture ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Global Environment ; Global Warming ; Greenhouse Gases ; Ipcc ; Precipitation ; Rural Development ; Rural Development Knowledge and Information Systems ; Temperature ; Agricultural Commodities ; Agriculture ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Global Environment ; Global Warming ; Greenhouse Gases ; Ipcc ; Precipitation ; Rural Development ; Rural Development Knowledge and Information Systems ; Temperature
    Kurzfassung: Several studies addressing the supply and demand for food in China suggest that the nation can largely meet its needs in the coming decades. However, these studies do not consider the effects of climate change. This paper examines whether near future expected changes in climate are likely to alter this picture. The authors analyze the effect of temperature and precipitation on net crop revenues using a cross section consisting of both rainfed and irrigated farms. Based on survey data from 8,405 households across 28 provinces, the results of the Ricardian analysis demonstrate that global warming is likely to be harmful to China but the impacts are likely to be very different in each region. The mid latitude region of China may benefit from warming but the southern and northern regions are likely to be damaged by warming. More precipitation is beneficial to Chinese farmers except in the wet southeast. Irrigated and rainfed farmers have similar responses to precipitation but not to temperature. Warmer temperatures may benefit irrigated farms but they are likely to harm rainfed farms. Finally, seasonal effects vary and are offsetting. Although we were able to measure the direct effect of precipitation and temperature, we could not capture the effects of change in water flow which will be very important in China. Can China continue feeding itself if climate changes? Based on the empirical results, the likely gains realized by some farmers will nearly offset the losses that will occur to other farmers in China. If future climate scenarios lead to significant reductions in water, there may be large damages not addressed in this study
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 6
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (46 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, S. Niggol Differential Adaptation Strategies By Agro-Ecological Zones In African Livestock Management
    Schlagwort(e): Agriculture ; Animal ; Animal species ; Communities & Human Settlements ; Dairy ; Dairy cattle ; Environment ; Farmer ; Livestock ; Livestock Management ; Livestock and Animal Husbandry ; Livestock operation ; Livestock ownership ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Sheep ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animal species ; Communities & Human Settlements ; Dairy ; Dairy cattle ; Environment ; Farmer ; Livestock ; Livestock Management ; Livestock and Animal Husbandry ; Livestock operation ; Livestock ownership ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Sheep ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animal species ; Communities & Human Settlements ; Dairy ; Dairy cattle ; Environment ; Farmer ; Livestock ; Livestock Management ; Livestock and Animal Husbandry ; Livestock operation ; Livestock ownership ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Sheep ; Urban Development ; Wildlife Resources
    Kurzfassung: 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 regresses the farmer's choice on climate, soil, water flow, and socio-economic variables. The findings show that climate does in fact affect the farmer's decision about whether to raise livestock and the species. The paper also simulates how future climates may alter these decisions using forecasts from climate models and the estimated model. With a hot dry scenario, livestock ownership will increase slightly across all of Africa, but especially in West Africa and high elevation agro-ecological zones. Dairy cattle will decrease in semi-arid regions, sheep will increase in the lowlands, and chickens will increase at high elevations. With a mild and wet scenario, however, livestock adoption will fall dramatically in lowland and high latitude moist agro-ecological zones. Beef cattle will increase and sheep will fall in dry zones, dairy cattle will fall precipitously and goats will rise in moist zones, and chickens will increase at high elevations but fall at mid elevations. Livestock adaptations depend on the climate scenario and will vary across the landscape. Agro-ecological zones are a useful way to capture how these changes differ from place to place
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 7
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (41 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Mendelsohn, Robert Changing Farm Types And Irrigation As An Adaptation To Climate Change In Latin American Agriculture
    Schlagwort(e): Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Climate Impacts ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Irrigation ; Land ; Land Use ; Land Value ; Less ; Livestock and Animal Husbandry ; Models ; Precipitation ; Rainfall ; Rural Development ; Rural Development Knowledge and Information Systems ; Soil ; Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Climate Impacts ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Irrigation ; Land ; Land Use ; Land Value ; Less ; Livestock and Animal Husbandry ; Models ; Precipitation ; Rainfall ; Rural Development ; Rural Development Knowledge and Information Systems ; Soil ; Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Changes ; Climate Impacts ; Common Property Resource Development ; Crops and Crop Management Systems ; Environment ; Forestry ; Irrigation ; Land ; Land Use ; Land Value ; Less ; Livestock and Animal Husbandry ; Models ; Precipitation ; Rainfall ; Rural Development ; Rural Development Knowledge and Information Systems ; Soil
    Kurzfassung: 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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  • 8
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (46 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Niggol A Ricardian Analysis of The Impact of Climate Change On Latin American Farms
    Schlagwort(e): Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Impacts ; Climate Sensitivity ; Climate Variables ; Crops and Crop Management Systems ; Environment ; Forestry ; GDP ; Global Warming ; Greenhouse Gases ; Impacts ; Irrigation ; Land ; Land ; Rural Development Knowledge and Information Systems ; Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Impacts ; Climate Sensitivity ; Climate Variables ; Crops and Crop Management Systems ; Environment ; Forestry ; GDP ; Global Warming ; Greenhouse Gases ; Impacts ; Irrigation ; Land ; Land ; Rural Development Knowledge and Information Systems ; Agriculture ; Agriculture and Farming Systems ; Climate ; Climate Change ; Climate Change ; Climate Impacts ; Climate Sensitivity ; Climate Variables ; Crops and Crop Management Systems ; Environment ; Forestry ; GDP ; Global Warming ; Greenhouse Gases ; Impacts ; Irrigation ; Land ; Land ; Rural Development Knowledge and Information Systems
    Kurzfassung: This study estimates the vulnerability of Latin American agriculture to climate change using a Ricardian analysis of both land values and net revenues. Examining a sample of over 2,500 farms in seven countries, the results indicate both land value and net revenue are sensitive to climate. Both small farms and large farms have a hill-shaped relationship with temperature. Estimating separate regressions for dryland and irrigated farms reveals that dryland farms are more sensitive to temperature but irrigated farms are more sensitive to precipitation. Examining the effects from future climate change scenarios reveals that severe scenarios could reduce farm earnings by as much as 62 percent by 2100, whereas more moderate scenarios could reduce earnings by about 15 percent. Small and large farms are equally sensitive to global warming. Land value and net revenue analyses produce quite similar results
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 9
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (24 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Niggol An Analysis of Crop Choice
    Schlagwort(e): Agriculture ; Agriculture and Farming Systems ; Choice of Crops ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Fao ; Farm ; Farmer ; Farmers ; Farms ; Fruits ; Maize ; Planning ; Potatoes ; Poverty Reduction ; Reports ; Rice ; Rural Development ; Rural Poverty Reduction ; Single Crop ; Soil Types ; Agriculture ; Agriculture and Farming Systems ; Choice of Crops ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Fao ; Farm ; Farmer ; Farmers ; Farms ; Fruits ; Maize ; Planning ; Potatoes ; Poverty Reduction ; Reports ; Rice ; Rural Development ; Rural Poverty Reduction ; Single Crop ; Soil Types ; Agriculture ; Agriculture and Farming Systems ; Choice of Crops ; Climate Change ; Crop ; Crops ; Crops and Crop Management Systems ; Environment ; Fao ; Farm ; Farmer ; Farmers ; Farms ; Fruits ; Maize ; Planning ; Potatoes ; Poverty Reduction ; Reports ; Rice ; Rural Development ; Rural Poverty Reduction ; Single Crop ; Soil Types
    Kurzfassung: The authors explore how Latin American farmers adapt to climate by changing crops. They develop a multinomial choice model of farmer's choice of crops. Estimating the model across over 2,000 farmers in seven countries, they find that both temperature and precipitation affects the crops that Latin American farmers choose. Farmers choose fruits and vegetables in warmer locations and wheat and potatoes in cooler locations. Farms in wetter locations are more likely to grow rice, fruits, and squash, and in dryer locations maize and potatoes. Global warming will cause Latin American farmers to switch away from wheat and potatoes toward fruits and vegetables. Predictions of the impact of climate change must reflect not only changes in yields or net revenues per crop but also crop switching
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 10
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (18 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Niggol An Analysis of Livestock Choice
    Schlagwort(e): Agriculture ; Animal ; Animals ; Beef ; Beef Cattle ; Chickens ; Climate Change ; Communities & Human Settlements ; Dairy ; Dairy Cattle ; Environment ; Farm ; Farmer ; Feed ; Goats ; Livesto ; Livestock ; Livestock Farmers ; Livestock Income ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animals ; Beef ; Beef Cattle ; Chickens ; Climate Change ; Communities & Human Settlements ; Dairy ; Dairy Cattle ; Environment ; Farm ; Farmer ; Feed ; Goats ; Livesto ; Livestock ; Livestock Farmers ; Livestock Income ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animals ; Beef ; Beef Cattle ; Chickens ; Climate Change ; Communities & Human Settlements ; Dairy ; Dairy Cattle ; Environment ; Farm ; Farmer ; Feed ; Goats ; Livesto ; Livestock ; Livestock Farmers ; Livestock Income ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources
    Kurzfassung: The authors explore how Latin American livestock farmers adapt to climate by switching species. They develop a multinomial choice model of farmer's choice of livestock species. Estimating the models across over 1,200 livestock farmers in seven countries, they find that both temperature and precipitation affect the species Latin American farmers choose. The authors then use this model to predict how future climate scenarios would affect species choice. Global warming will cause farmers to switch to beef cattle at the expense of dairy cattle
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 11
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (48 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Seo, Sungno Niggol Climate Change Impacts On Animal Husbandry In Africa
    Schlagwort(e): Agriculture ; Animal ; Animal Husbandry ; Animal diseases ; Animals ; Beef ; Beef cattle ; Farm ; Farms ; Goats ; Livestock ; Livestock and Animal Husbandry ; Agriculture ; Animal ; Animal Husbandry ; Animal diseases ; Animals ; Beef ; Beef cattle ; Farm ; Farms ; Goats ; Livestock ; Livestock and Animal Husbandry ; Agriculture ; Animal ; Animal Husbandry ; Animal diseases ; Animals ; Beef ; Beef cattle ; Farm ; Farms ; Goats ; Livestock ; Livestock and Animal Husbandry
    Kurzfassung: This paper analyzes the impact of climate change on animal husbandry in Africa. It regresses the net revenue from raising animals in small and large farms across Africa on climate, soil, and other control variables to test the climate sensitivity of livestock. The study is based on a survey of over 9,000 farmers across 11 countries conducted by the World Bank and the Global Environment Facility. From this dataset, 5,400 farms were found to rely on livestock. The paper develops models to test whether the climate coefficients of small and large farms are similar. It turns out that small farms tend to be more labor intensive, rely on native stocks, and have few animals. Large farms tend to be more commercial operations, with much larger stocks and more modern approaches. The analysis finds that warming is good for small farms because they can substitute animals that are heat tolerant. Large farms, by contrast, are more dependent on cattle, which are not heat tolerant. The wetter scenarios are likely to be harmful to grazing animals because greater rainfall implies a shift from grasslands to forests, an increase in harmful disease vectors, and a shift from livestock to crops. Overall, because large farms dominate the sector, African livestock net revenues are expected to fall. However, if future climates turn out to be dry, livestock net revenue will increase. At least against the risk of dryness, livestock offer a good substitute for crops
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 12
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (39 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Mendelsohn, Robert Climate change adaptation in Africa
    Schlagwort(e): Agriculture ; Animal ; Animals ; Beef ; Beef cattle ; Chickens ; Communities & Human Settlements ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animals ; Beef ; Beef cattle ; Chickens ; Communities & Human Settlements ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources ; Agriculture ; Animal ; Animals ; Beef ; Beef cattle ; Chickens ; Communities & Human Settlements ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Peri-Urban Communities ; Rural Development ; Rural Urban Linkages ; Urban Development ; Wildlife Resources
    Kurzfassung: This paper uses quantitative methods to examine the way African farmers have adapted livestock management to the range of climates found across the African continent. The authors use logit analysis to estimate whether farmers adopt livestock. They then use three econometric models to examine which species farmers choose: a primary choice multinomial logit, an optimal portfolio multinomial logit, and a demand system multivariate probit. Comparing the results of the three methods of estimating species selection reveals that the three approaches yield similar results. Using data from over 9,000 African livestock farmers in 10 countries, the analysis finds that farmers are more likely to choose to have livestock as temperatures increase and as precipitation decreases. Across all methods of estimating choice, livestock farmers in warmer locations are less likely to choose beef cattle and chickens and more likely to choose goats and sheep. As precipitation increases, cattle and sheep decrease but goats and chickens increase. The authors simulate the way farmers' choices might change with a set of uniform climate changes and a set of climate model scenarios. The uniform scenarios predict that warming and drying would increase livestock ownership but that increases in precipitation would decrease it. The climate scenarios predict a decrease in the probability of beef cattle and an increase in the probability of sheep and goats, and they predict that more heat-tolerant animals will dominate the future African landscape
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  • 13
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (48 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Mendelsohn, Robert The impact of climate change on livestock management in Africa
    Schlagwort(e): Agriculture ; Animal ; Animal husbandry ; Animals ; Beef ; Beef cattle ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Wildlife Resources ; Agriculture ; Animal ; Animal husbandry ; Animals ; Beef ; Beef cattle ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Wildlife Resources ; Agriculture ; Animal ; Animal husbandry ; Animals ; Beef ; Beef cattle ; Environment ; Farm ; Farmer ; Livestock ; Livestock Farmers ; Livestock Management ; Livestock and Animal Husbandry ; Wildlife Resources
    Kurzfassung: This paper develops the structural Ricardian method, a new approach to modeling agricultural performance using cross-sectional evidence, and uses the method to study animal husbandry in Africa. The model is intended to estimate the structure beneath Ricardian results in order to understand how farmers change their behavior in response to climate. A survey of over 5,000 livestock farmers in 10 countries reveals that the selection of species, the net income per animal, and the number of animals are all highly dependent on climate. As climate warms, net income across all animals will fall, especially across beef cattle. The fall in net income causes African farmers to reduce the number of animals on their farms. The fall in relative revenues also causes them to shift away from beef cattle and toward sheep and goats. All farmers will lose income but the most vulnerable farms are large African farms that currently specialize in beef cattle. Small livestock and large livestock farms respond to climates differently. Small farms are diversified, relying on dairy cattle, goats, sheep, and chickens. Large farms specialize in dairy and beef cattle. Estimating a separate multinomial logit selection model for small and large farms reveals that the two types of farm choose species differently and specifically have different climate response functions. The regressions of the number of animals also reveal that large farms are more responsive to climate. The results indicate that warming will be harmful to commercial livestock owners, especially cattle owners. Owners of commercial livestock farms have few alternatives either in crops or other animal species. In contrast, small livestock farms are better able to adapt to warming or precipitation increases by switching to heat tolerant animals or crops. Livestock operations will be a safety valve for small farmers if warming or drought causes their crops to fail
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  • 14
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: Online-Ressource (1 online resource (29 p.))
    Ausgabe: Online-Ausg. World Bank E-Library Archive
    Paralleltitel: Kurukulasuriya, Pradeep Crop Selection
    Schlagwort(e): Agriculture ; Availability of seed ; Beans ; Choice of crops ; Climate Change ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Groundnut ; Maize ; Millet ; Soils ; Sorghum ; Agriculture ; Availability of seed ; Beans ; Choice of crops ; Climate Change ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Groundnut ; Maize ; Millet ; Soils ; Sorghum ; Agriculture ; Availability of seed ; Beans ; Choice of crops ; Climate Change ; Crop ; Crops and Crop Management Systems ; Environment ; Farmers ; Groundnut ; Maize ; Millet ; Soils ; Sorghum
    Kurzfassung: This paper examines whether the choice of crops is affected by climate in Africa. Using a multinomial logit model, the paper regresses crop choice on climate, soils, and other factors. The model is estimated using a sample of more than 7,000 farmers across 11 countries in Africa. The study finds that crop choice is very climate sensitive. For example, farmers select sorghum and maize-millet in the cooler regions of Africa; maize-beans, maize-groundnut, and maize in moderately warm regions' and cowpea, cowpea-sorghum, and millet-groundnut in hot regions. Further, farmers choose sorghum, and millet-groundnut when conditions are dry; cowpea, cowpea-sorghum, maize-millet, and maize when medium wet; and maize-beans and maize-groundnut when wet. As temperatures warm, farmers will shift toward more heat tolerant crops. Depending on whether precipitation increases or decreases, farmers will also shift toward drought tolerant or water loving crops, respectively. There are several policy relevant conclusions to draw from this study. First, farmers will adapt to climate change by switching crops. Second, global warming impact studies cannot assume crop choice is exogenous. Third, this study only examines choices across current crops. Future farmers may well have more choices. There is an important role for agronomic research in developing new varieties more suited for higher temperatures. Future farmers may have even better adaptation alternatives with an expanded set of crop choices specifically targeted at higher temperatures
    URL: Volltext  (Deutschlandweit zugänglich)
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