Please use this identifier to cite or link to this item: http://prr.hec.gov.pk/jspui/handle/123456789/17642
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKhan, Sumaira Yousuf-
dc.date.accessioned2021-12-16T08:16:08Z-
dc.date.available2021-12-16T08:16:08Z-
dc.date.issued2017-
dc.identifier.govdoc23760-
dc.identifier.urihttp://prr.hec.gov.pk/jspui/handle/123456789/17642-
dc.description.abstractThe economic prosperity of any country is sensitive to the level of taxation. The Government tax systems of any country are continually challenged to develop and implement an efficient tax system. Also the fiscal deficit has been the core issue of the majority of the developing countries in decades, the low revenue collection and rapid expenditure causes expansion in the financial gap. Therefore, tax policy has a significant influence on economic growth. If the tax policy and tax ratios are not at an adequate level, it hinders economic growth and also deprives the public of their wealth. In order to maintain socioeconomic stability, control fiscal deficit, and to provide ease to the inhabitants of any society, it is necessary for the country‟s tax policy makers to allocate the best tax ratios. As such, to address the issues different mathematical models are being developed by using operation research techniques such as multi-objective optimization, multiple regression analysis, forecasting model and Dijkstra‟s algorithm. It is expected that these models will definitely help the policy makers in the tax structuring of the country and also to facilitate the nation, ensuring the economic prosperity and subsequently bring boom and well being in the status of the nation.en_US
dc.description.sponsorshipHigher Education Commission Pakistanen_US
dc.language.isoenen_US
dc.publisherUniversity of Karachi, Karachi.en_US
dc.subjectPhysical Sciencesen_US
dc.subjectMathematicsen_US
dc.titleAn Optimized Financial Mathematical Model to Formulate a Tax Policy and Revival of Best Tax Ratiosen_US
dc.typeThesisen_US
Appears in Collections:PhD Thesis of All Public / Private Sector Universities / DAIs.

Files in This Item:
File Description SizeFormat 
sumaira yousuf khan maths 2017 uok karachi.pdfphd.Thesis1.87 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.