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dc.contributor.authorFan, Shuangshuang
dc.contributor.authorWei, Yuetong
dc.contributor.authorNiu, Xiao
dc.contributor.authorBaležentis, Tomas
dc.contributor.authorAgnusdei, Leonardo
dc.date.accessioned2023-12-22T07:06:11Z
dc.date.available2023-12-22T07:06:11Z
dc.date.issued2023
dc.identifier.issn0954-349X
dc.identifier.other(crossref_id)153183170
dc.identifier.urihttps://etalpykla.vilniustech.lt/xmlui/handle/123456789/153588
dc.description.abstractThis study investigates the impact of financial technology (FinTech) on inclusive growth (IG) by exploiting a panel of 281 prefecture-level Chinese cities in the years 2011–2020 using the spatial econometric model and machine learning algorithm. The results show that FinTech positively impacts IG, while there is no spatial spillover effect. The evidence from the machine learning algorithms suggests that as FinTech advances to a higher level, its positive impact on IG increases. The mechanism test shows that the latter effect is achieved through entrepreneurial stimulation and human capital enhancement. Moreover, the impact of FinTech on IG is more pronounced in large and medium-sized cities and cities in the eastern region. However, it does not significantly affect small cities or cities in the central region. This paper, therefore, offers new insights on the interaction between FinTech and IG along with the analysis of the effects related to the development of FinTech on IG in China.eng
dc.formatPDF
dc.format.extentp. 439-458
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyRePec
dc.relation.isreferencedbyINSPEC
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S0954349X23001273
dc.titleCan FinTech development pave the way for a transition towards inclusive growth: Evidence from an emerging economy
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.references58
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionWenzhou University of Technology
dc.contributor.institutionNanjing University of Science and Technology
dc.contributor.institutionHebei Normal University
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionUniversity of Salento
dc.contributor.facultyVerslo vadybos fakultetas / Faculty of Business Management
dc.subject.researchfieldS 004 - Ekonomika / Economics
dc.subject.studydirectionJ01 - Ekonomika / Economics
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society
dc.subject.enFinTech
dc.subject.eninclusive growth
dc.subject.enentrepreneurship
dc.subject.enhuman capital spatial model
dc.subject.enmachine learning
dcterms.sourcetitleStructural change and economic dynamics
dc.description.volumevol. 67
dc.publisher.nameElsevier B.V.
dc.publisher.cityAmsterdam
dc.identifier.doi153183170
dc.identifier.doi1-s2.0-S0954349X23001273
dc.identifier.doiS0954-349X(23)00127-3
dc.identifier.doi0
dc.identifier.doi001079446700001
dc.identifier.doi10.1016/j.strueco.2023.09.009
dc.identifier.elaba177269864


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