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 targeti...
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World Bank, Washington, DC
2019
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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 http://hdl.handle.net/10986/32051 |
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okr-10986-320512021-05-25T10:54:41Z Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project World Bank GENDER INNOVATION LAB GENDER POLICY INEQUALITY TARGETING LAND RIGHTS LAND USE LAND ALLOCATION POVERTY COMMUNITY-DRIVEN DEVELOPMENT COMMUNITY ENGAGEMENT 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. 2019-07-10T20:55:06Z 2019-07-10T20:55:06Z 2019-06 Brief 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 http://hdl.handle.net/10986/32051 English East Asia and Pacific Gender Policy Brief;No. 6 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Brief East Asia and Pacific Cambodia |
repository_type |
Digital Repository |
institution_category |
Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
language |
English |
topic |
GENDER INNOVATION LAB GENDER POLICY INEQUALITY TARGETING LAND RIGHTS LAND USE LAND ALLOCATION POVERTY COMMUNITY-DRIVEN DEVELOPMENT COMMUNITY ENGAGEMENT |
spellingShingle |
GENDER INNOVATION LAB GENDER POLICY INEQUALITY TARGETING LAND RIGHTS LAND USE LAND ALLOCATION POVERTY COMMUNITY-DRIVEN DEVELOPMENT COMMUNITY ENGAGEMENT World Bank Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
geographic_facet |
East Asia and Pacific Cambodia |
relation |
East Asia and Pacific Gender Policy Brief;No. 6 |
description |
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. |
format |
Brief |
author |
World Bank |
author_facet |
World Bank |
author_sort |
World Bank |
title |
Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
title_short |
Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
title_full |
Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
title_fullStr |
Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
title_full_unstemmed |
Can Community-based Targeting Effectively Select Poorer Beneficiaries for a Large-scale Program? Insights from the LASED Project |
title_sort |
can community-based targeting effectively select poorer beneficiaries for a large-scale program? insights from the lased project |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
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 http://hdl.handle.net/10986/32051 |
_version_ |
1764475661918928896 |