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Mokslo publikacijos
2018-03-05

What contributes to total factor productivity growth in the Chinese banking sector?

We propose a new metafrontier, non-radial, biennial Luenberger productivity indicator to evaluate the total factor productivity growth of the Chinese banking sector, during the period of 2004–2012. The bootstrapping approach is also taken into account to introduce the statistical inference of the total factor productivity, and its components. It is found that the overall Chinese banking sector operated well with an average growth rate of 5.4%, where technological progress was the driving force promoting the development of the Chinese banking sector during the earlier studied period, and efficiency gains outperformed technological progress during the later studied period. We investigated three banking groups, state-owned commercial banks and joint-stock commercial banks depending on their technological progress, but city commercial banks were dominated by efficiency gains. Regarding the productivity growth gap, the metafrontier productivity growth gap and efficiency change gap appeared to show gradual convergences, but the technological change gap maintained the width at a certain extent.

 

Keywords: total factor productivity; metafrontier; biennial technology; Directional distance function; data envelopment analysis; bootstrapping approach

 

Zhu, N.; Zhang, N.; Wang, B.; Baležentis, T. 2018. What contributes to total factor productivity growth in the Chinese banking sector? In Technological and Economic Development of Economy 24(2)792–811. ISSN 1648-4142 / eISSN 1648-3480. https://doi.org/10.3846/tede.2018.249 [Social Sciences Citation Index; Social Scisearch; Journal Citation Reports/ Social Sciences Edition; E.E.O.L; CSA – Cambridge Scientific Abstracts; EBSCOhost (Business Source Complete; Business Source Premier; Current Abstracts); Gale; IndexCopernicus; IRBdirect (ICONDA (International CONstruction DAtabase – the CIB international database)); SCOPUS – Elsevier Bibliographic Databases; Summon; Ulrichsweb].

 

2016 Impact Factor: 2.628

© 2018 The Author(s). Published by VGTU Press

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 




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