dc.contributor.author | Fan, Shuangshuang | |
dc.contributor.author | Wei, Yuetong | |
dc.contributor.author | Niu, Xiao | |
dc.contributor.author | Baležentis, Tomas | |
dc.contributor.author | Agnusdei, Leonardo | |
dc.date.accessioned | 2023-12-22T07:06:11Z | |
dc.date.available | 2023-12-22T07:06:11Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0954-349X | |
dc.identifier.other | (crossref_id)153183170 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/xmlui/handle/123456789/153588 | |
dc.description.abstract | This 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.format | PDF | |
dc.format.extent | p. 439-458 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | RePec | |
dc.relation.isreferencedby | INSPEC | |
dc.source.uri | https://www.sciencedirect.com/science/article/pii/S0954349X23001273 | |
dc.title | Can FinTech development pave the way for a transition towards inclusive growth: Evidence from an emerging economy | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 58 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Wenzhou University of Technology | |
dc.contributor.institution | Nanjing University of Science and Technology | |
dc.contributor.institution | Hebei Normal University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | University of Salento | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | S 004 - Ekonomika / Economics | |
dc.subject.studydirection | J01 - Ekonomika / Economics | |
dc.subject.vgtuprioritizedfields | EV03 - Dinamiškoji vadyba / Dynamic Management | |
dc.subject.ltspecializations | L103 - Įtrauki ir kūrybinga visuomenė / Inclusive and creative society | |
dc.subject.en | FinTech | |
dc.subject.en | inclusive growth | |
dc.subject.en | entrepreneurship | |
dc.subject.en | human capital spatial model | |
dc.subject.en | machine learning | |
dcterms.sourcetitle | Structural change and economic dynamics | |
dc.description.volume | vol. 67 | |
dc.publisher.name | Elsevier B.V. | |
dc.publisher.city | Amsterdam | |
dc.identifier.doi | 153183170 | |
dc.identifier.doi | 1-s2.0-S0954349X23001273 | |
dc.identifier.doi | S0954-349X(23)00127-3 | |
dc.identifier.doi | 0 | |
dc.identifier.doi | 001079446700001 | |
dc.identifier.doi | 10.1016/j.strueco.2023.09.009 | |
dc.identifier.elaba | 177269864 | |