Publication:
How to Frequently and Accurately Measure Poverty and Forest Dependence?

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dc.contributor.authorPerge, Emilie
dc.contributor.authorBehal, Raisa
dc.date.accessioned2019-12-06T16:21:21Z
dc.date.available2019-12-06T16:21:21Z
dc.date.issued2019-11-12
dc.description.abstractThe relationship between forest dependence and welfare remains partially explored, partially due to a lack of data. Data collection of household consumption and poverty correlates has been constrained by time consuming and costly tools, such as multipage household and community surveys. Forest-SWIFT is a complementary tool to a traditional household survey, developed to simultaneously measure poverty as well as forest dependence, using a 15-question country specific mini-survey. Forest-SWIFT was piloted in Turkey, where the forest-dwelling population is also the poorest. The tool used recent data from the Household Budget Survey 2013 as well as the Socio-Economic Household Survey 2016 tracking poverty and forest-dependence across 100 forest villages in Turkey in 2017. Forest-SWIFT estimated poverty at 23.2 percent in rural forest villages, and forest dependence as 15 percent, the latter echoing findings from previous literature. Forest-SWIFT is efficient to bring more data on the relationship between poverty and forest activities and to monitor how this relationship evolves with the goal to have a tangible effect on policymaking.en
dc.identifierhttp://documents.worldbank.org/curated/en/808821573630520498/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence
dc.identifier.doi10.1596/32802
dc.identifier.urihttps://hdl.handle.net/10986/32802
dc.languageEnglish
dc.publisherWorld Bank, Washington, DC
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/igo
dc.subjectPOVERTY
dc.subjectFORESTRY
dc.subjectHOUSEHOLD SURVEYS
dc.subjectFOREST DEPENDENCE
dc.subjectPOVERTY REDUCTION
dc.titleHow to Frequently and Accurately Measure Poverty and Forest Dependence?en
dc.typeWorking Paperen
dc.typeDocument de travailfr
dc.typeDocumento de trabajoes
dspace.entity.typePublication
okr.crossref.titleHow to Frequently and Accurately Measure Poverty and Forest Dependence?
okr.date.disclosure2019-11-13
okr.doctypePublications & Research
okr.doctypePublications & Research::Working Paper
okr.docurlhttp://documents.worldbank.org/curated/en/808821573630520498/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence
okr.guid808821573630520498
okr.identifier.doi10.1596/32802
okr.identifier.doihttps://doi.org/10.1596/32802
okr.identifier.externaldocumentum090224b0872d9234_1_0
okr.identifier.internaldocumentum31545677
okr.identifier.report143590
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/808821573630520498/pdf/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence.pdfen
okr.sectorForestry
okr.topicPoverty Reduction::Poverty Monitoring & Analysis
okr.topicPoverty Reduction::Rural Poverty Reduction
okr.topicRural Development::Forestry
okr.unitGLOBAL ENR PM (SENGL)
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