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Decomposing productivity growth in Malaysian food manufacturing industry

In this study, a mathematical programming-based optimization technique known as data envelopment analysis, DEA is used to compute and analyze the decomposition of Malmquist index of total factor productivity, TFP into technological change, technical efficiency change and scale efficiency change by u...

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Main Authors: Mohamad, N., Said, F.
Format: Article
Published: Academic Journals 2010
Subjects:
Q Science (General)
Online Access:http://eprints.um.edu.my/11957/
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spelling my.um.eprints.119572017-05-25T07:48:59Z http://eprints.um.edu.my/11957/ Decomposing productivity growth in Malaysian food manufacturing industry Mohamad, N. Said, F. Q Science (General) In this study, a mathematical programming-based optimization technique known as data envelopment analysis, DEA is used to compute and analyze the decomposition of Malmquist index of total factor productivity, TFP into technological change, technical efficiency change and scale efficiency change by utilizing an output-oriented DEA model under the assumptions of constant and variable returns to scale. The methodology is applied to selected 5-digit Malaysian food manufacturing sub-industries using annual time-series data for the period 2002 to 2007. The results suggest that the TFP growth is largely due to positive technological change or frontier shift rather than technical efficiency change. Academic Journals 2010 Article PeerReviewed Mohamad, N. and Said, F. (2010) Decomposing productivity growth in Malaysian food manufacturing industry. African Journal of Business Management, 4 (16). pp. 3522-3529.
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic Q Science (General)
spellingShingle Q Science (General)
Mohamad, N.
Said, F.
Decomposing productivity growth in Malaysian food manufacturing industry
description In this study, a mathematical programming-based optimization technique known as data envelopment analysis, DEA is used to compute and analyze the decomposition of Malmquist index of total factor productivity, TFP into technological change, technical efficiency change and scale efficiency change by utilizing an output-oriented DEA model under the assumptions of constant and variable returns to scale. The methodology is applied to selected 5-digit Malaysian food manufacturing sub-industries using annual time-series data for the period 2002 to 2007. The results suggest that the TFP growth is largely due to positive technological change or frontier shift rather than technical efficiency change.
format Article
author Mohamad, N.
Said, F.
author_facet Mohamad, N.
Said, F.
author_sort Mohamad, N.
title Decomposing productivity growth in Malaysian food manufacturing industry
title_short Decomposing productivity growth in Malaysian food manufacturing industry
title_full Decomposing productivity growth in Malaysian food manufacturing industry
title_fullStr Decomposing productivity growth in Malaysian food manufacturing industry
title_full_unstemmed Decomposing productivity growth in Malaysian food manufacturing industry
title_sort decomposing productivity growth in malaysian food manufacturing industry
publisher Academic Journals
publishDate 2010
url http://eprints.um.edu.my/11957/
_version_ 1643689181876060160
score 13.211869

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