dc.creatorMuhammad Aslam
dc.date2015
dc.date.accessioned2022-10-12T19:57:01Z
dc.date.available2022-10-12T19:57:01Z
dc.identifierhttp://erevistas.uacj.mx/ojs/index.php/noesis/article/view/484
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4125557
dc.descriptionThis paper has estimated multidimensional poverty for four provinces of Pakistan using Pakistan social and living standard measurement survey dataset for years 2005-06 by applying Alkire and Foster methodology. Nine dimensions were selected for this study: Housing, Electricity, Water, Asset, Sanitation, Education, Expenditure, Empowerment and Land. Results found that overall Balochistan shows the worst picture followed by nwfp, Sindh and Punjab. Urban and rural areas of Balochistan are more multidimensionally poor followed by nwfp, Sindh and Punjab. Results show that the most pervasive level of poverty exists in rural areas of different provinces. The analysis of contribution of each dimension in multidimensional poverty at different cut-offs showed that the major contributors are Land, Empowerment, Housing, Assets and Sanitation. This study also presents an empirical evidence of significant lack of overlap in the identification by the monetary and multidimensional approach in the case of Pakistan.
dc.languageeng
dc.publisherUniversidad Autónoma de Ciudad Juárez
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0
dc.sourceinfo:eu-repo/semantics/altIdentifier/eissn/2395-8669
dc.sourceNóesis. Journal of Social Sciences and Humanities; Vol. 24, Núm. 48 (2015); 55-72
dc.sourceNóesis. Revista de Ciencias Sociales y Humanidades; Vol. 24, Núm. 48 (2015); 55-72
dc.source2395-8669
dc.source0188-9834
dc.source10.20983/noesis.2015.2
dc.subjectCIENCIAS SOCIALES
dc.subjectPakistan, multidimensional poverty, provincial analysis
dc.subjectPakistán; pobreza multidimensional; análisis provincial
dc.subjectinfo:eu-repo/classification/cti/5
dc.titleMultidimensional measurement of poverty in Pakistan: Provincial analysis
dc.typeinfo:eu-repo/semantics/article
dc.typeArtículo


Este ítem pertenece a la siguiente institución