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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Main Author: World Bank
Format: Brief
Language:English
Published: World Bank, Washington, DC 2019
Subjects:
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
id okr-10986-32051
recordtype oai_dc
spelling 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
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