Advanced
Please use this identifier to cite or link to this item: https://digital.lib.ueh.edu.vn/handle/UEH/60874
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPhuc Nguyen, C.-
dc.contributor.otherDinh Su, T.-
dc.contributor.otherDoytch, N.-
dc.date.accessioned2020-12-09T06:55:05Z-
dc.date.available2020-12-09T06:55:05Z-
dc.date.issued2020-
dc.identifier.issn0167-6245-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85091490283&doi=10.1016%2fj.infoecopol.2020.100892&partnerID=40&md5=eac53470b3fe135392c96b188fad3cec-
dc.identifier.urihttp://digital.lib.ueh.edu.vn/handle/UEH/60874-
dc.description.abstractWe study impact of internet and mobile usage on nine different indicators of financial development (FD), including depth, access, and efficiency of both, financial markets, and financial institutions, as well as overall financial development. We apply Granger causality and cointegration tests, PMG ARDL and PDOLS, and a two-step system GMM to a sample of 109 economies and two sub-samples (62 low- and middle-income economies (LMEs), 47 high-income economies (HIEs)) over the period of 1998–2017. The Granger causality tests show long-run bi-directional causality between internet/mobile usage and financial development. We find that internet usage has a significant negative impact on overall financial development, which could be attributed to a negative impact on financial institutions with all their three dimensions, depth, access, and efficiency. At the same time, internet has significant positive impact on financial markets with its three dimensions. Contrary to the opposing effects internet usage, mobile usage has a significant positive impact on all nine indices of financial development. The PMG ARDL and PDOLS estimations clarify that the positive impact of the internet is a short run effect, while the negative effect is a long-run one. The mobile usage impact is a long-run phenomenon. The estimations for two sub-samples show consistently positive impact of mobile phones in HIEs, whereas the results for LMEs are less robust.en
dc.formatPortable Document Format (PDF)-
dc.language.isoeng-
dc.publisherElsevier B.V.-
dc.relation.ispartofInformation Economics and Policy-
dc.rightsElsevier-
dc.subjectFinancial developmenten
dc.subjectFinancial institutionsen
dc.subjectFinancial marketInterneten
dc.subjectMobile phoneen
dc.subjectTechnologyen
dc.titleThe drivers of financial development: global evidence from internet and mobile usageen
dc.typeJournal Articleen
dc.identifier.doihttps://doi.org/10.1016/j.infoecopol.2020.100892-
ueh.JournalRankingScopus-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.fulltextOnly abstracts-
item.openairetypeJournal Article-
Appears in Collections:INTERNATIONAL PUBLICATIONS
Show simple item record

Google ScholarTM

Check

Altmetric


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