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Die Heterogenität der Effizienz innerhalb von Branchen - Eine Auswertung von Unternehmensdaten der Kostenstrukturerhebung im Verarbeitenden Gewerbe

Listed author(s):
  • Michael Fritsch

    (Friedrich-Schiller Universität Jena, DIW-Berlin und Max-Planck Institut für Ökonomik, Jena)

  • Andreas Stephan

    (Europa Universität Viadrina, Frankfurt/Oder und DIW-Berlin)

Der Beitrag arbeitet die Heterogenität von Unternehmen innerhalb von Branchen hinsichtlich ihrer technischen Effizienz heraus. Datengrundlage sind die Mikro-Daten der Kostentrukturerhebung im Verarbeitenden Gewerbe in Deutschland. Die technische Effizienz wird im Rahmen der Schätzung einer Translog-Produktionsfunktion als unternehmensspezifischer fixer Effekt ermittelt. Innerhalb von Branchen bestehen in der Regel große Unterschiede hinsichtlich der technischen Effizienz. Diese Unterschiede werden beispielhaft für einige Branchen grafisch veranschaulicht. Die durchschnittliche Effizienz der Kleinunternehmen liegt etwas höher als in der Gruppe der Großunternehmen, was auf verschiedene Ursachen zurückgeführt werden kann. Abschließend werden weitere Analysepotenziale der Kostenstrukturerhebung für Forschung und Politikberatung skizziert. Summary: This article analyzes the heterogeneity of firms within industries in regard to their level of technical efficiency. The data are taken from the cost structure census of manufacturing industries in Germany. We estimate the technical efficiency as a firm-specific fixed effects within a translog production function framework. We find great differences between technical efficiencies of firms within industries. A graphical tool is applied to display this heterogeneity. Smaller firms tend to be more efficient than larger ones, which might have various reasons. Finally, we discuss the potential of the cost structure census for empirical research and policy advice.

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Paper provided by Friedrich-Schiller-University Jena, School of Economics and Business Administration in its series Jena Research Papers in Business and Economics - Working and Discussion Papers with number 23/2007.

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Date of creation: 21 Sep 2007
Handle: RePEc:jen:jenjbe:2007-23
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  1. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
  2. Alvarez, Roberto & Crespi, Gustavo, 2003. "Determinants of Technical Efficiency in Small Firms," Small Business Economics, Springer, vol. 20(3), pages 233-244, May.
  3. Carree, Martin A., 2002. "Technological inefficiency and the skewness of the error component in stochastic frontier analysis," Economics Letters, Elsevier, vol. 77(1), pages 101-107, September.
  4. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
  5. Sickles, Robin C., 2005. "Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and nonparametric settings," Journal of Econometrics, Elsevier, vol. 126(2), pages 305-334, June.
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