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Zur Messung und Erklärung von Produktivitätsentwicklungen: Eine Analyse auf Basis eines stochastischen Distanzfrontieransatzes / Measuring and Explaining Productivity Growth: A Distance Function Approach

  • Brümmer Bernhard

    ()

    (Bernhard Brümmer, Institut für Agrarökonomie der Universität Göttingen, Platz der Göttinger Sieben 5, D-37073 Göttingen, Germany)

  • Glauben Thomas

    ()

    (Institut für Ernährungswirtschaft und Verbrauchslehre der Universität Kiel, Olshausenstraße 40, D-24118 Kiel, Germany)

Using an output-oriented distance function, the total factor productivity growth is decomposed into the change of four components: technical change, technical efficiency, allocative efficiency, and scale effect. Stochastic output distance functions are estimated based on panel data for dairy farms in Germany and Poland for the time period 1991 to 1994. To get an estimate of the productivity potential in a cross-country comparison of these regions, the concept of a meta-distance frontier is introduced. The results indicate that productivity change in Germany (+6%) and Poland (-5%) are mainly determined by the component technical change.

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Article provided by De Gruyter in its journal Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik).

Volume (Year): 224 (2004)
Issue (Month): 4 (August)
Pages: 420-444

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Handle: RePEc:jns:jbstat:v:224:y:2004:i:4:p:420-444
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  1. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
  2. Schmidt, Peter, 1988. "Estimation of a fixed-effect Cobb-Douglas system using panel data," Journal of Econometrics, Elsevier, vol. 37(3), pages 361-380, March.
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