| 摘要(英) |
Manufacturing is one of the key engines of Taiwan’s economics. There is no doubt that it plays an important role during the growing of Taiwan’s economic.Hence , we try to focus on Taiwan’s manufacturing and analyze its technicalefficiency.
The principal objective of this article is to estimate technical efficiency (TE)scores by stochastic frontier, proposed by Battese and Coelli (1995), using the data of
Taiwan’s manufacturing two-digit SIC industry(SIC 31) over the period 1992-2005.Except using the plant individual variables, we also consider the macroeconomics andthe financial variables to process the examination. In order to compare different manufacturing plants, which are under specific operating environment and technology,
we adopt metafrontier production function, proposed by Battese, Rao, andO’donnell(2004).
The evidences show that the whole manufacturing technical efficiency scores arebetween 0.6418~0.8393. On the average of technology gap ratio(TGR), the Petroleum and Coal Products Manufacturing(19) achieve the maximum 81.618% which means its production technology is ahead form others and the production frontier is the closest to metafrontier.
Besides, we also compare the technical efficiency between small、medium enterprises and large ones. Based on the definition of the plant scale,we have got that most of the industry’s small and medium enterprises are more efficiency than the large ones. |
| 參考文獻 |
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Battese G. E. and D.S.P. Rao (2002), Technology gap, efficiency and a stochastic metafrontier function, International Journal of Business and Economics, 1, 87-93.
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Battese G. E., D. S. P. Rao and C. J.O’Donnell (2004), A metefrontier production function for estimation of technical efficiencies and technology gaps for firms operating under different technologies, Journal of Productivity Analysis, 21, 91-103.
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Beck T., Asli Demirgüç-Kunt and Ross Levine, (2000), "A New Database on Financial Development and Structure," World Bank Economic Review 14, 597-605.
Berger A. N. (1993), Distribution-Free Estimation of Efficiency in U.S. Banking Industry and Tests of the Standard Distribution Assumption, The Journal of Productivity Analysis, 4, 261-292.
Berger A.N. and D. B. Humphrey (1991), The dominance of inefficiencies over scale and product mix economies in banking, Journal of Monetary Economics, 28, 117-148.
Berger A.N. (1995), The Profit-Structure Relationship in Banking－Test of Market-Power and Efficient-Structure Hypotheses, Journal of Monery, Credit and Banking, 27, 404-431. |
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