Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/12093
DC FieldValueLanguage
dc.contributor.authorNagadevara, Vishnuprasad
dc.date.accessioned2020-05-06T14:28:22Z-
dc.date.available2020-05-06T14:28:22Z-
dc.date.issued2009
dc.identifier.issn2374-2208
dc.identifier.issn2374-2194
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/12093-
dc.description.abstractTheoretically, financial development creates enabling conditions for growth through either a supply-led or a demand-pull process. Financial inclusion implies provision of affordable financial services, such as access to payments and remittance facilities, savings, loans and insurance services by the formal financial system to those who tend to be excluded. The factors that influence supply and demand side of financial inclusion are analyzed in this paper. Artificial Neural Networks are used to identify specific factors that influence different financial products on the supply side and different sources of borrowing on the demand side. These factors can be used for evolving appropriate strategies for enhancing financial inclusion.
dc.publisherJournal of International Business and Economics
dc.subjectFinancial Inclusion
dc.subjectArtificial Neural Networks
dc.subjectFinancial Products
dc.subjectSupply and Demand Side
dc.titleIdentifying supply and demand side factors that influence financial inclusion: an application of Ann's
dc.typeJournal Article
dc.pages88-93p.
dc.vol.noVol.9-
dc.issue.noIss.4-
dc.journal.nameJournal of International Business and Economics
Appears in Collections:2000-2009
Files in This Item:
File SizeFormat 
Nagadevara_JIBE_2009_Vol.9_Iss.4.pdf205.6 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


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