Human capital dynamics in China: Evidence from a club convergence approach

Octasiano Valerio Mendoza, Mihály Borsi and Flavio Comim ()

MPRA Paper from University Library of Munich, Germany

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.

Keywords: Human capital; Club convergence; Dynamic factor model; Asia; China (search for similar items in EconPapers)
JEL-codes: C33 C53 I25 O15 R11 (search for similar items in EconPapers)
Date: 2021-01-08
New Economics Papers: this item is included in nep-cna, nep-cwa and nep-tra
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/105200/1/MPRA_paper_105200.pdf original version (application/pdf)

Related works:
Journal Article: Human capital dynamics in China: Evidence from a club convergence approach (2022)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:105200

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().