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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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 |
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Asian Studies Growth and Development LEUNG, Hing-Man Productivity of Singapore's Manufacturing Sector: An Industry-Level Non-Parametric Study |
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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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text |
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LEUNG, Hing-Man |
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LEUNG, Hing-Man |
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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 |
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Institutional Knowledge at Singapore Management University |
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1998 |
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https://ink.library.smu.edu.sg/soe_research/218 |
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1770569072766877696 |