Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study

A paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilizes 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- ser...

Full description

Saved in:
Bibliographic Details
Main Author: LEUNG, Hing-Man
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 1998
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/218
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Singapore Management University
Language: English
id sg-smu-ink.soe_research-1217
record_format dspace
spelling sg-smu-ink.soe_research-12172010-09-23T05:48:03Z Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study LEUNG, Hing-Man A paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilizes 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 30 industries, 3 indices are obtained: 1. a Malmquist total factor productivity index, 2. an efficiency change index, and 3. 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 labor quality are found to have important impact on TFP growth. 1998-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/218 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Asian Studies Growth and Development
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Asian Studies
Growth and Development
spellingShingle Asian Studies
Growth and Development
LEUNG, Hing-Man
Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
description A paper seeks to measure and to explain the productivity of Singapore's manufacturing sector using industry level data. It utilizes 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 30 industries, 3 indices are obtained: 1. a Malmquist total factor productivity index, 2. an efficiency change index, and 3. 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 labor quality are found to have important impact on TFP growth.
format text
author LEUNG, Hing-Man
author_facet LEUNG, Hing-Man
author_sort LEUNG, Hing-Man
title Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
title_short Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
title_full Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
title_fullStr Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
title_full_unstemmed Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study
title_sort productivity of singapore's manufacturing sector: an industry-level non-parametric study
publisher Institutional Knowledge at Singapore Management University
publishDate 1998
url https://ink.library.smu.edu.sg/soe_research/218
_version_ 1770569072766877696