How to Frequently and Accurately Measure Poverty and Forest Dependence?

How to Frequently and Accurately Measure Poverty and Forest Dependence?

The 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 mul...

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Main Authors: Perge, Emilie, Behal, Raisa
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2019
Subjects:
POVERTY
FORESTRY
HOUSEHOLD SURVEYS
FOREST DEPENDENCE
POVERTY REDUCTION
Online Access:http://documents.worldbank.org/curated/en/808821573630520498/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence
http://hdl.handle.net/10986/32802
id okr-10986-32802
recordtype oai_dc
spelling okr-10986-328022021-05-25T09:30:14Z How to Frequently and Accurately Measure Poverty and Forest Dependence? Perge, Emilie Behal, Raisa POVERTY FORESTRY HOUSEHOLD SURVEYS FOREST DEPENDENCE POVERTY REDUCTION The 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. 2019-12-06T16:21:21Z 2019-12-06T16:21:21Z 2019-11-12 Working Paper http://documents.worldbank.org/curated/en/808821573630520498/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence http://hdl.handle.net/10986/32802 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Working Paper
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic POVERTY
FORESTRY
HOUSEHOLD SURVEYS
FOREST DEPENDENCE
POVERTY REDUCTION
spellingShingle POVERTY
FORESTRY
HOUSEHOLD SURVEYS
FOREST DEPENDENCE
POVERTY REDUCTION
Perge, Emilie
Behal, Raisa
How to Frequently and Accurately Measure Poverty and Forest Dependence?
description The 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.
format Working Paper
author Perge, Emilie
Behal, Raisa
author_facet Perge, Emilie
Behal, Raisa
author_sort Perge, Emilie
title How to Frequently and Accurately Measure Poverty and Forest Dependence?
title_short How to Frequently and Accurately Measure Poverty and Forest Dependence?
title_full How to Frequently and Accurately Measure Poverty and Forest Dependence?
title_fullStr How to Frequently and Accurately Measure Poverty and Forest Dependence?
title_full_unstemmed How to Frequently and Accurately Measure Poverty and Forest Dependence?
title_sort how to frequently and accurately measure poverty and forest dependence?
publisher World Bank, Washington, DC
publishDate 2019
url http://documents.worldbank.org/curated/en/808821573630520498/How-to-Frequently-and-Accurately-Measure-Poverty-and-Forest-Dependence
http://hdl.handle.net/10986/32802
_version_ 1764477329199857664

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