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Livelihood Vulnerability Assessment×Coping Strategies Index×
분야Development StudiesDevelopment Studies
계열Process / pipelineProcess / pipeline
기원 연도20091996
창시자IPCC framing; W. Neil Adger; Micah Hahn, Anne Riederer & Stanley Foster (LVI)Daniel Maxwell; CARE / World Food Programme
유형Composite-indicator framework for assessing climate and livelihood vulnerabilityBehaviour-based food-insecurity index
원전Hahn, M. B., Riederer, A. M., & Foster, S. O. (2009). The Livelihood Vulnerability Index: A pragmatic approach to assessing risks from climate variability and change — A case study in Mozambique. Global Environmental Change, 19(1), 74–88. DOI ↗Maxwell, D. G. (1996). Measuring food insecurity: the frequency and severity of 'coping strategies'. Food Policy, 21(3), 291–303. DOI ↗
별칭Livelihood Vulnerability Index, LVI, Climate Vulnerability Assessment, Social Vulnerability AssessmentCSI, Reduced Coping Strategies Index, rCSI, Coping strategies score
관련44
요약Livelihood Vulnerability Assessment is a framework for measuring how exposed and susceptible households and communities are to climatic and socio-economic stresses, and how able they are to cope and adapt. Drawing on the IPCC's conceptualisation of vulnerability as a function of exposure, sensitivity, and adaptive capacity and operationalised in composite tools such as Hahn and colleagues' Livelihood Vulnerability Index, it translates the social and environmental dimensions of risk into indicators that can be compared across places and groups to guide adaptation and poverty-reduction investment.The Coping Strategies Index (CSI) is a behaviour-based indicator of household food insecurity that counts and weights the consumption-related coping strategies households adopt when they cannot access enough food. Developed by Daniel Maxwell in the 1990s and standardised in the CARE/WFP field manual, it asks how frequently a household resorted to behaviours such as eating less-preferred foods, borrowing food, reducing portion sizes, restricting adult consumption, or skipping meals, and combines frequency with severity into a single score that is quick to collect and well suited to monitoring and early warning.
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