Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project
An analysis of the Land Allocation for Social and Economic Development Project (LASED) in Cambodia suggests that the project was highly successful in identifying "poor" beneficiaries. In this brief we look into the community-based targeting mechanism used in LASED to understand what design factors contributed to it`s success.
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| Main Author: | |
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| Format: | Brief biblioteca |
| Language: | English |
| Published: |
World Bank, Washington, DC
2019-06
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| Subjects: | GENDER INNOVATION LAB, GENDER POLICY, INEQUALITY, TARGETING, LAND RIGHTS, LAND USE, LAND ALLOCATION, POVERTY, COMMUNITY-DRIVEN DEVELOPMENT, COMMUNITY ENGAGEMENT, |
| Online Access: | http://documents.worldbank.org/curated/en/987741561704219943/Can-Community-based-Targeting-Effectively-Select-Poorer-Beneficiaries-for-a-Large-scale-Program-Insights-from-the-LASED-Project https://hdl.handle.net/10986/32051 |
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| Summary: | An analysis of the Land Allocation for
Social and Economic Development Project (LASED) in Cambodia
suggests that the project was highly successful in
identifying "poor" beneficiaries. In this brief we
look into the community-based targeting mechanism used in
LASED to understand what design factors contributed to it`s success. |
|---|