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German engineering firms during the 1990’s. How efficient are export champions?

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Author Info
Alexander Schiersch ()
Abstract

This paper investigates the efficiency of German engineering firms and its change over time. As these firms had been successful in the past in terms of being market-leader, it is expected that the majority of the firms works efficiently. To analyze this question Farrell’s technical efficiency is estimated using DEA. The results contradict these expectations. The engineering firms proved to operate quite inefficiently. Moreover, the results indicate that the efficiency of the firms is almost normally distributed and differs with company sizes. Besides, the measured efficiency changes are not consistent with the expectation of essentially small changes over time.

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Paper provided by Hanseatic University, Germany, Department of Economics in its series Working Papers with number 006.

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Length: 27 pages
Date of creation: Mar 2008
Date of revision:
Handle: RePEc:phu:wpaper:006

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  1. Léopold Simar, Paul W. Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor and Francis Journals, vol. 27(6), pages 779-802, August. [Downloadable!] (restricted)
    Other versions:
  2. Bjurek, Hans, 1996. " The Malmquist Total Factor Productivity Index," Scandinavian Journal of Economics, Blackwell Publishing, vol. 98(2), pages 303-13, June.
  3. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  4. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May. [Downloadable!] (restricted)
  5. Oleg Badunenko, 2007. "Downsizing in German Chemical Manufacturing Industry during the 1990s: Why Small Is Beautiful?," Discussion Papers of DIW Berlin 722, DIW Berlin, German Institute for Economic Research. [Downloadable!]
  6. David C. Wheelock & Paul Wilson, 2003. "Robust nonparametric estimation of efficiency and technical change in U.S. commercial banking," Working Papers 2003-037, Federal Reserve Bank of St. Louis. [Downloadable!]
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  7. Kneip, Alois & Park, Byeong U. & Simar, L opold, 1998. "A Note On The Convergence Of Nonparametric Dea Estimators For Production Efficiency Scores," Econometric Theory, Cambridge University Press, vol. 14(06), pages 783-793, December. [Downloadable!]
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