Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/44840
Title: Productivity of Singapore's manufacturing sector: An industry level non-parametric study
Authors: Leung, H.-M. 
Issue Date: 1998
Source: Leung, H.-M. (1998). Productivity of Singapore's manufacturing sector: An industry level non-parametric study. Asia Pacific Journal of Management 15 (1) : 19-31. ScholarBank@NUS Repository.
Abstract: This paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilises a non-parametric approach consisting of a set of production distance functions, each of which is obtained by solving a linear programming problem. From a time-series of 1983 to 1993, across thirty industries, we obtain three indices: a Malmquist total factor productivity (TFP) index, an efficiency change index, and a technological change index. The resulting TFP growth stands at 4.6% per annum, considerably greater than previous estimates using aggregate country level data. Three-stage least squares are then applied to the pooled data. Foreign ownership and labour quality are found to have important impact on TFP growth. © 1998 by John Wiley & Sons (Asia) Ltd.
Source Title: Asia Pacific Journal of Management
URI: http://scholarbank.nus.edu.sg/handle/10635/44840
ISSN: 02174561
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

66
checked on Dec 15, 2017

Google ScholarTM

Check


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