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...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
1998
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| Online Access: | https://ink.library.smu.edu.sg/soe_research/218 |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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. |
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