Publication:

Determinants of wellbeing: a cross-country study with a special focus on Malaysia

Show simple item record
DC FieldValue
dc.contributor.authorMaznita Mokhtar
dc.contributor.supervisorMohamed Ariff Abdul Kareem
dc.contributor.supervisorObiyathulla Ismath Bacha
dc.date.accessioned2017-12-14T12:20:13Z
dc.date.available2017-12-14T12:20:13Z
dc.date.issued2017
dc.description.abstractGDP, often the proxy to measure progress in policy implementations, does not fully reflect the wellbeing of a nation, although it may be one of the contributing factors. Applying an estimation model based on panel data of 22 sample countries, we illustrate that wellbeing in general can be improved with intrinsic growth, influenced by economic stability, demand composition and sectoral composition. Additionally, key economic and quality of life factors - such as, broader income distribution, lower housing prices, lower infant mortality, effective health expenditure, higher education attainment and broadband access - are significant to households ...en_US
dc.identifier.citationMokhtar, M. (2017). Determinants of wellbeing: a cross-country study with a special focus on Malaysia (Doctoral dissertation). INCEIF, Kuala Lumpur. Retrieved from https://ikr.inceif.org/handle/INCEIF/2748en_US
dc.identifier.urihttps://ikr.inceif.org/handle/INCEIF/2748
dc.languageEnglish
dc.language.isoengen_US
dc.publisherINCEIFen_US
dc.rights2017. INCEIF
dc.sourceGS
dc.subjectWellbeingen_US
dc.subjectIslamic component of wellbeingen_US
dc.subjectIbn Khaldun's modelen_US
dc.subjectMalaysiaen_US
dc.titleDeterminants of wellbeing: a cross-country study with a special focus on Malaysiaen_US
dc.typePhDen_US
dlc.maintopicIslamic economicsen_US
dspace.entity.typePublication
ikr.doctypeTheses
ikr.licenseAvailable in physical copy and downloadable format (Call Number: t HC 445.5 M476)
ikr.topic.maintopicIslamic economicsen_US
relation.isAuthorOfPublication8e8de113-9c2e-4faf-8482-04f179564a0e
relation.isAuthorOfPublication8e8de113-9c2e-4faf-8482-04f179564a0e
Appears in Collections
PhD
Files

Abstract View

2653762

View & Download

167825