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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

Author

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  • 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)

Abstract

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
    DOI: 10.1515/jbnst-2004-0403
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    References listed on IDEAS

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    1. Hugo Fuentes & Emili Grifell-Tatjé & Sergio Perelman, 2001. "A Parametric Distance Function Approach for Malmquist Productivity Index Estimation," Journal of Productivity Analysis, Springer, vol. 15(2), pages 79-94, March.
    2. 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.
    3. 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.
    4. 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.
    5. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    6. 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.
    7. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    8. 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.
    9. 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.
    10. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, July.
    11. 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.
    12. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    13. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, January.
    14. 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.
    15. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    16. 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.
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