IDEAS home Printed from
   My bibliography  Save this article

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.

Suggested Citation

  • Brümmer Bernhard & Glauben Thomas, 2004. "Zur Messung und Erklärung von Produktivitätsentwicklungen: Eine Analyse auf Basis eines stochastischen Distanzfrontieransatzes / Measuring and Explaining Productivity Growth: A Distance Function Appro," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 224(4), pages 420-444, August.
  • Handle: RePEc:jns:jbstat:v:224:y:2004:i:4:p:420-444

    Download full text from publisher

    File URL:
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Catherine J. Morrison Paul & Warren E. Johnston & Gerald A. G. Frengley, 2000. "Efficiency in New Zealand Sheep and Beef Farming: The Impacts of Regulatory Reform," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 325-337, May.
    2. Kawagoe, Toshihiko & Hayami, Yujiro & Ruttan, Vernon W., 1985. "The intercountry agricultural production function and productivity differences among countries," Journal of Development Economics, Elsevier, vol. 19(1-2), pages 113-132.
    3. 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.
    4. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA.
    5. Binswanger, Hans & Yang, Maw-Cheng & Bowers, Alan & Mundlak, Yair, 1987. "On the determinants of cross-country aggregate agricultural supply," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 111-131.
    6. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    7. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    8. Kumbhakar, Subal C., 1997. "Modeling allocative inefficiency in a translog cost function and cost share equations: An exact relationship," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 351-356.
    9. 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.
    10. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, March.
    11. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    12. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    13. Morrison, Catherine J, 1992. "Unraveling the Productivity Growth Slowdown in the United States, Canada and Japan: The Effects of Subequilibrium, Scale Economies and Markups," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 381-393, August.
    Full references (including those not matched with items on IDEAS)


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jns:jbstat:v:224:y:2004:i:4:p:420-444. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Peter Golla). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.