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Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/58113
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dc.contributor.advisorDr. Pham Khanh Namen_US
dc.contributor.authorPham Thi Ngoc Aien_US
dc.date.accessioned2018-11-26T08:53:38Z-
dc.date.available2018-11-26T08:53:38Z-
dc.date.issued2014-
dc.identifier.urihttp://vnp.edu.vn/vi/nghien-cuu/luan-van-tot-nghiep/tom-tat-luan-van/851-an-asset-based-geographic-targeting-evidence-from-rural-vietnam.html-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/58113-
dc.description.abstractThe purpose of this paper is to find out which asset is the most suitable for a particular region through calculating marginal return to a range of assets and then creating a serial of maps. The data are taken from Vietnam Living Standard Survey in 2006. The Weighted Least Squares is used for running the regression and combining with technique bootstrap and stepwise iterative deletion with the threshold of 5%. All targetable assets are focused on calculating marginal benefit. It gives the reasonable findings that have very heterogeneous average marginal benefit across areas. The results give suggestion for choosing which assets are suitable for a particular region, thus it makes increases their efficacy. However, the governors and donors should consider the existence of trade-off equity and efficacy.en_US
dc.format.medium54 p.en_US
dc.language.isoEnglishen_US
dc.publisherUniversity of Economics Ho Chi Minh City; VNP (Vietnam – The Netherlands Programme for M.A. in Development Economics)en_US
dc.subjectAsset-based geographic targetingen_US
dc.subjectRuralen_US
dc.subjectVietnamen_US
dc.subject4en_US
dc.titleAn asset-based geographic targeting: evidence from rural Vietnamen_US
dc.typeMaster's Thesesen_US
ueh.specialityDevelopment Economics = Kinh tế phát triểnen_US
item.languageiso639-1English-
item.cerifentitytypePublications-
item.grantfulltextreserved-
item.openairetypeMaster's Theses-
item.fulltextFull texts-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:MASTER'S THESES
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