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dc.contributorUniversitat Ramon Llull. IQS
dc.contributor.authorValerio, Octasiano
dc.contributor.authorBorsi, Mihály Tamás
dc.contributor.authorComim, Flavio
dc.date.accessioned2024-10-25T06:33:36Z
dc.date.available2024-10-25T06:33:36Z
dc.date.issued2022-04
dc.identifier.issn1873-7927ca
dc.identifier.urihttp://hdl.handle.net/20.500.14342/4466
dc.description.abstractThis paper investigates the evolution of human capital in China for 31 provinces over the period of 1985–2016 from a club convergence perspective. Per capita human capital stocks, estimated using the Jorgenson–Fraumeni lifetime income approach, are for the first time examined within a non-linear latent factor framework that allows to model a wide range of transition dynamics for each province along the path to convergence. The study finds no overall convergence between provinces in China, however, the results strongly support the existence of multiple convergence clubs. While a small group of provinces are converging toward the highest levels of human capital, most of the other provinces are failing to catch up and form separate clusters that converge to lower equilibria. These regional patterns provide new evidence on the increasing human capital gap between Chinese provinces, posing a significant challenge to a more inclusive and harmonious human and economic development.ca
dc.format.extentp.44ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofJournal of Asian Economics 2022, 79, 101441ca
dc.rights© L'autor/aca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherHuman capitalca
dc.subject.otherClub convergenceca
dc.subject.otherDynamic factor modelca
dc.subject.otherChinaca
dc.subject.otherAsiaca
dc.subject.otherRecursos humans--Xinaca
dc.titleHuman capital dynamics in China: Evidence from a club convergence approachca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.subject.udc33ca
dc.subject.udc331ca
dc.subject.udc332ca
dc.identifier.doihttps://doi.org/10.1016/j.asieco.2022.101441ca
dc.relation.projectIDinfo:eu-repo/grantAgreement/EU/H2020/Grant agreement ID:838534ca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca


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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-nd/4.0/
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