Cost Efficiency of the Hong Kong Banking Sector: A Two-Stage DEA Window Analysis

William R J Alexander; Hien Thu Phan; Sajid Anwar

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Cost Efficiency of the Hong Kong Banking Sector: A Two-Stage DEA Window Analysis

Conference paper

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Cost Efficiency of the Hong Kong Banking Sector: A Two-Stage DEA Window Analysis

William R J Alexander, Hien Thu Phan and Sajid Anwar

Proceedings of EcoMod 2016, International Conference on Economic Modeling

EcoMod 2016: International Conference on Economic Modelling (Lisbon, Portugal, 06-Jul-2016–08-Jul-2016)

EcoMod Network

2016

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Abstract

Economic Theory

Banking, Finance and Investment

cost efficiency

banking sector

DEA window

Hong Kong

The cost efficiency of the Hong Kong Banking sector over the period 2004 to 2014 is estimated by both traditional DEA and DEA window analysis. The two efficiency estimates are highly correlated with each other and both methods indicate an overall decrease in cost efficiency in the middle of the period, coincident with the Global Financial Crisis and, then, some recovery in efficiency. A second stage regression analysis finds that bank size and GDP growth are positively associated with efficiency, whereas revenue diversification and inflation are associated with lower efficiency. Stock exchange listing status appears to be associated with lower efficiency but no clear relationship between measures of market structure and efficiency is found.

Details

Title: Cost Efficiency of the Hong Kong Banking Sector: A Two-Stage DEA Window Analysis
Authors: William R J Alexander (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Hien Thu Phan (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Sajid Anwar (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Publication details: Proceedings of EcoMod 2016, International Conference on Economic Modeling; 22
Conference details: EcoMod 2016: International Conference on Economic Modelling (Lisbon, Portugal, 06-Jul-2016–08-Jul-2016)
Publisher: EcoMod Network
Date published: 2016
Organisation Unit: School of Business and Creative Industries; Indigenous and Transcultural Research Centre; University of the Sunshine Coast, Queensland; USC Business School - Legacy
Language: English
Record Identifier: 99451146302621
Output Type: Conference paper

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