dc.contributor
Universitat Ramon Llull. IQS
dc.contributor.author
Valerio, Octasiano
dc.contributor.author
Borsi, Mihály Tamás
dc.contributor.author
Comim, Flavio
dc.identifier.issn
1873-7927
dc.identifier.uri
http://hdl.handle.net/20.500.14342/4466
dc.description.abstract
This 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.
dc.relation.ispartof
Journal of Asian Economics 2022, 79, 101441
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Club convergence
dc.subject
Dynamic factor model
dc.subject
Recursos humans--Xina
dc.title
Human capital dynamics in China: Evidence from a club convergence approach
dc.type
info:eu-repo/semantics/article
dc.description.version
info:eu-repo/semantics/publishedVersion
dc.relation.projectID
info:eu-repo/grantAgreement/EU/H2020/Grant agreement ID:838534
dc.identifier.doi
https://doi.org/10.1016/j.asieco.2022.101441
dc.rights.accessLevel
info:eu-repo/semantics/openAccess