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...
| Main Authors: | , |
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| Format: | Working Paper |
| Language: | English |
| Published: |
World Bank, Washington, DC
2019
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| Subjects: | |
| 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 |
| Summary: | 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. |
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