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  • Christiaensen, Luc  (2)
  • Washington, D.C : The World Bank  (2)
  • Cham : Springer International Publishing AG
  • London : Routledge
  • Health Services  (2)
  • 1
    Language: English
    Pages: Online-Ressource (1 online resource (46 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Christiaensen, Luc Gauging The Welfare Effects of Shocks In Rural Tanzania
    Keywords: Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment ; Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment ; Agriculture ; Crime ; Crops and Crop Management Systems ; Economic Theory and Research ; Families ; Health Care ; Health Monitoring and Evaluation ; Health Services ; Health, Nutrition and Population ; Holistic Approach ; Hospitalization ; Macroeconomics and Economic Growth ; Mortality ; Poverty Reduction ; Quality Of Life ; Risk Factors ; Rural Development ; Rural Poverty Reduction ; Unemployment
    Abstract: Studies of risk and its consequences tend to focus on one risk factor, such as a drought or an economic crisis. Yet 2003 household surveys in rural Kilimanjaro and Ruvuma, two cash-crop-growing regions in Tanzania that experienced a precipitous coffee price decline around the turn of the millennium, identified health and drought shocks as well as commodity price declines as major risk factors, suggesting the need for a comprehensive approach to analyzing household vulnerability. In fact, most coffee growers, except the smaller ones in Kilimanjaro, weathered the coffee price declines rather well, at least to the point of not being worse off than non-coffee growers. Conversely, improving health conditions and reducing the effect of droughts emerge as critical to reduce vulnerability. One-third of the rural households in Kilimanjaro experienced a drought or health shocks, resulting in an estimated 8 percent welfare loss on average, after using savings and aid. Rainfall is more reliable in Ruvuma, and drought there did not affect welfare. Surprisingly, neither did health shocks, plausibly because of lower medical expenditures given limited health care provisions
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Language: English
    Pages: Online-Ressource (1 online resource (43 p.))
    Edition: Online-Ausg. World Bank E-Library Archive
    Parallel Title: Stifel, David Tracking Poverty Over Time In The Absence of Comparable Consumption Data
    Keywords: Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction ; Agricultural Production ; Developing Countries ; Health Services ; Health, Nutrition and Population ; Household Assets ; Household Level ; Malaria ; Millennium Development Goals ; National Level ; Policy ; Policy Research ; Population Policies ; Poverty Reduction ; Rural Development ; Rural Poverty Reduction
    Abstract: Following the endorsement of the Millennium Development Goals, there is an increasing demand for methods to track poverty regularly. This paper develops an economically intuitive and inexpensive methodology to do so in the absence of regular, comparable data on household consumption. The minimum data requirements for the methodology are the availability of a household budget survey and a series of surveys with a comparable set of asset data also contained in the budget survey. The methodology is illustrated using a series of Demographic Health Surveys from Kenya
    URL: Volltext  (Deutschlandweit zugänglich)
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