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How to Frequently and Accurately Measure Poverty and Forest Dependence? / Emilie Perge.
World Bank Open Knowledge Repository (formerly "World Bank E-Library Publications") Available online
View online- Format:
- Book
- Government document
- Author/Creator:
- Perge, Emilie.
- Series:
- Other papers.
- World Bank e-Library.
- Other papers
- Language:
- English
- Subjects (All):
- Forestry.
- Household Surveys.
- Poverty.
- Poverty Monitoring and Analysis.
- Poverty Reduction.
- Rural Development.
- Rural Poverty Reduction.
- Local Subjects:
- Forestry.
- Household Surveys.
- Poverty.
- Poverty Monitoring and Analysis.
- Poverty Reduction.
- Rural Development.
- Rural Poverty Reduction.
- Place of Publication:
- Washington, D.C. : The World Bank, 2019.
- System Details:
- data file
- 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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