Multidimensional Poverty in Bhutan: Estimates and Policy Implications
- Autores
- Santos, Maria Emma; Ura, Karma
- Año de publicación
- 2008
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- This paper estimates multidimensional poverty in Bhutan applying the methodology developed by Alkire and Foster using the 2007 Bhutan Living Standard Survey data. Five dimensions are considered for estimations in both rural and urban areas: income, education, room availability, access to electricity and access to drinking water, and two additional dimensions are considered for estimates in rural areas only: access to roads and land ownership. It is found that multidimensional poverty is mainly a rural phenomenon, although urban areas present non-depreciable levels of deprivation in room availability and education. Within rural areas, weighting each indicator equally, deprivation in electricity, education room and income are the highest and similar in contribution to aggregate multidimensional poverty. When weights derived from the Gross National Happiness Survey are used, income deprivation significantly increases its contribution as it receives a higher weight. Rankings of districts by their poverty estimate are found to be robust for a wide range of poverty cutoffs. The methodology is suggested as a potential formula for national poverty measurement as well as a tool for budget allocation
Fil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur; Argentina. University of Oxford; Reino Unido
Fil: Ura, Karma. National Council of Bhutan; Bután - Materia
-
Multidimensional Poverty Measurement
Counting Approach
Bhutan
Budget Distribution
Mdgs. - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/77337
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Multidimensional Poverty in Bhutan: Estimates and Policy ImplicationsSantos, Maria EmmaUra, KarmaMultidimensional Poverty MeasurementCounting ApproachBhutanBudget DistributionMdgs.https://purl.org/becyt/ford/5.2https://purl.org/becyt/ford/5This paper estimates multidimensional poverty in Bhutan applying the methodology developed by Alkire and Foster using the 2007 Bhutan Living Standard Survey data. Five dimensions are considered for estimations in both rural and urban areas: income, education, room availability, access to electricity and access to drinking water, and two additional dimensions are considered for estimates in rural areas only: access to roads and land ownership. It is found that multidimensional poverty is mainly a rural phenomenon, although urban areas present non-depreciable levels of deprivation in room availability and education. Within rural areas, weighting each indicator equally, deprivation in electricity, education room and income are the highest and similar in contribution to aggregate multidimensional poverty. When weights derived from the Gross National Happiness Survey are used, income deprivation significantly increases its contribution as it receives a higher weight. Rankings of districts by their poverty estimate are found to be robust for a wide range of poverty cutoffs. The methodology is suggested as a potential formula for national poverty measurement as well as a tool for budget allocationFil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur; Argentina. University of Oxford; Reino UnidoFil: Ura, Karma. National Council of Bhutan; ButánUniversity of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative2008-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/77337Santos, Maria Emma; Ura, Karma; Multidimensional Poverty in Bhutan: Estimates and Policy Implications; University of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative; OPHI Working Paper; 14; 8-2008; 1-25978-1-907194-05-42040-8188CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.ophi.org.uk/wp-content/uploads/OPHI-wp14.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:38:49Zoai:ri.conicet.gov.ar:11336/77337instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:38:49.308CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
title |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
spellingShingle |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications Santos, Maria Emma Multidimensional Poverty Measurement Counting Approach Bhutan Budget Distribution Mdgs. |
title_short |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
title_full |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
title_fullStr |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
title_full_unstemmed |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
title_sort |
Multidimensional Poverty in Bhutan: Estimates and Policy Implications |
dc.creator.none.fl_str_mv |
Santos, Maria Emma Ura, Karma |
author |
Santos, Maria Emma |
author_facet |
Santos, Maria Emma Ura, Karma |
author_role |
author |
author2 |
Ura, Karma |
author2_role |
author |
dc.subject.none.fl_str_mv |
Multidimensional Poverty Measurement Counting Approach Bhutan Budget Distribution Mdgs. |
topic |
Multidimensional Poverty Measurement Counting Approach Bhutan Budget Distribution Mdgs. |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.2 https://purl.org/becyt/ford/5 |
dc.description.none.fl_txt_mv |
This paper estimates multidimensional poverty in Bhutan applying the methodology developed by Alkire and Foster using the 2007 Bhutan Living Standard Survey data. Five dimensions are considered for estimations in both rural and urban areas: income, education, room availability, access to electricity and access to drinking water, and two additional dimensions are considered for estimates in rural areas only: access to roads and land ownership. It is found that multidimensional poverty is mainly a rural phenomenon, although urban areas present non-depreciable levels of deprivation in room availability and education. Within rural areas, weighting each indicator equally, deprivation in electricity, education room and income are the highest and similar in contribution to aggregate multidimensional poverty. When weights derived from the Gross National Happiness Survey are used, income deprivation significantly increases its contribution as it receives a higher weight. Rankings of districts by their poverty estimate are found to be robust for a wide range of poverty cutoffs. The methodology is suggested as a potential formula for national poverty measurement as well as a tool for budget allocation Fil: Santos, Maria Emma. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur; Argentina. University of Oxford; Reino Unido Fil: Ura, Karma. National Council of Bhutan; Bután |
description |
This paper estimates multidimensional poverty in Bhutan applying the methodology developed by Alkire and Foster using the 2007 Bhutan Living Standard Survey data. Five dimensions are considered for estimations in both rural and urban areas: income, education, room availability, access to electricity and access to drinking water, and two additional dimensions are considered for estimates in rural areas only: access to roads and land ownership. It is found that multidimensional poverty is mainly a rural phenomenon, although urban areas present non-depreciable levels of deprivation in room availability and education. Within rural areas, weighting each indicator equally, deprivation in electricity, education room and income are the highest and similar in contribution to aggregate multidimensional poverty. When weights derived from the Gross National Happiness Survey are used, income deprivation significantly increases its contribution as it receives a higher weight. Rankings of districts by their poverty estimate are found to be robust for a wide range of poverty cutoffs. The methodology is suggested as a potential formula for national poverty measurement as well as a tool for budget allocation |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/77337 Santos, Maria Emma; Ura, Karma; Multidimensional Poverty in Bhutan: Estimates and Policy Implications; University of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative; OPHI Working Paper; 14; 8-2008; 1-25 978-1-907194-05-4 2040-8188 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/77337 |
identifier_str_mv |
Santos, Maria Emma; Ura, Karma; Multidimensional Poverty in Bhutan: Estimates and Policy Implications; University of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative; OPHI Working Paper; 14; 8-2008; 1-25 978-1-907194-05-4 2040-8188 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.ophi.org.uk/wp-content/uploads/OPHI-wp14.pdf |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
University of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative |
publisher.none.fl_str_mv |
University of Oxford. Oxford Department of International Development. Oxford Poverty & Human Development Initiative |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844614411736580096 |
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13.070432 |