Efficiency and productivity of Singapore’s manufacturing sector 2001-2010: An analysis using Simar and Wilson’s (2007) bootstrapped truncated approach
Lee, Boon L. (2012) Efficiency and productivity of Singapore’s manufacturing sector 2001-2010: An analysis using Simar and Wilson’s (2007) bootstrapped truncated approach. [Working Paper]
Abstract
This paper seeks to explain the lagging productivity in Singapore’s manufacturing noted in the statements of the Economic Strategies Committee Report 2010. Two methods are employed: the Malmquist productivity to measure total factor productivity change and Simar and Wilson’s (J Econ, 136:31–64, 2007) bootstrapped truncated regression approach. In the first stage, the nonparametric data envelopment analysis is used to measure technical efficiency. To quantify the economic drivers underlying inefficiencies, the second stage employs a bootstrapped truncated regression whereby bias-corrected efficiency estimates are regressed against explanatory variables. The findings reveal that growth in total factor productivity was attributed to efficiency change with no technical progress. Most industries were technically inefficient throughout the period except for ‘Pharmaceutical Products’. Sources of efficiency were attributed to quality of worker and flexible work arrangements while incessant use of foreign workers lowered efficiency.
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| ID Code: | 50466 |
|---|---|
| Item Type: | Working Paper |
| Keywords: | Bootstrap truncated regression, technical efficiency, data envelopment analysis, total-factor productivity, efficiency change, technical change, Malmquist productivity index, Singapore manufacturing |
| Subjects: | Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > APPLIED ECONOMICS (140200) > Applied Economics not elsewhere classified (140299) |
| Divisions: | Current > QUT Faculties and Divisions > QUT Business School Current > Schools > School of Economics & Finance |
| Copyright Owner: | Copyright 2012 The author |
| Deposited On: | 21 May 2012 08:24 |
| Last Modified: | 21 May 2012 08:51 |
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