Please use this identifier to cite or link to this item:
Title: Comparing China Mainland and China Hong Kong contractors' productive efficiency
Authors: Chiang, YH 
Li, J
Choi, TNY
Man, KF
Keywords: Construction contractors
Productive efficiency
Hong Kong
Process efficiency
Issue Date: 2012
Publisher: Emerald Group Publishing Limited
Source: Journal of facilities management, 2012, v. 10, no. 3, p. 179-197 How to cite?
Journal: Journal of facilities management 
Abstract: Purpose– The purpose of this study is to present and compare the productive efficiency of China Mainland and China Hong Kong contractors, and to identify and investigate the components and sources of their efficiency under different economic and institutional environments.
Design/methodology/approach– Data envelopment analysis (DEA) is a non‐parametric approach to examine the relative efficiency among different firms. This study employs DEA based Malmquist Productivity Index (MPI) to compile the efficiency scores of 20 construction companies listed in the Hong Kong Exchange and Clearing Limited (HKEx) from 2004 to 2010.
Findings– A decomposition of MPI suggests that catch‐up effect has contributed more to contractor's efficiency than frontier‐shift effect. Compared to their Mainland counterparts, Hong Kong contractors have higher MPI mainly due to higher efficiency scores in catch‐up effect.
Practical implications– Hong Kong contractors have advantage over Mainland contractors in their managerial and strategic capabilities. Hence Hong Kong contractors should lever on their managerial expertise in accounting, financing and legal services when exporting their services. Meanwhile, Mainland contractors should improve their efficiency by making the most use of their technological and human resources, thus improving upon their international entrepreneurship.
Originality/value– This study is the first attempt to apply MPI to compare the productive efficiency of listed contractors in China Mainland and China Hong Kong. The findings contribute to the body of knowledge for productive efficiency measurement.
ISSN: 1472-5967
EISSN: 1741-0983
DOI: 10.1108/14725961211245992
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Nov 12, 2018

Page view(s)

Last Week
Last month
Citations as of Nov 12, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.