IDEAS home Printed from https://ideas.repec.org/a/jns/jbstat/v224y2004i4p420-444.html
   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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/jbnst-2004-0403
    Download Restriction: no
    File URL: https://libkey.io/10.1515/jbnst-2004-0403?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, December.
    3. 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.
    4. 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.
    5. 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.
    6. Oulton,Nicholas & O'Mahony,Mary, 1994. "Productivity and Growth," Cambridge Books, Cambridge University Press, number 9780521453455, September.
    7. 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.
    8. 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.
    9. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, University Library of Munich, Germany.
    10. 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.
    11. Hayami, Yujiro & Ruttan, Vernon W, 1970. "Agricultural Productivity Differences Among Countries," American Economic Review, American Economic Association, vol. 60(5), pages 895-911, December.
    12. 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.
    13. 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.
    14. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-438, March.
    15. 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.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yu, Bingxin & Liao, Xiyuan & Shen, Hongfang, 2013. "Parametric decomposition of the malmquist index in an output-oriented distance function: Productivity in Chinese agriculture," IFPRI discussion papers 1244, International Food Policy Research Institute (IFPRI).
    2. Xueqin Zhu & Alfons Oude Lansink, 2010. "Impact of CAP Subsidies on Technical Efficiency of Crop Farms in Germany, the Netherlands and Sweden," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(3), pages 545-564, September.
    3. Kelvin Balcombe & Hristos Doucouliagos & Iain Fraser, 2007. "Input usage, output mix and industry deregulation: an analysis of the Australian dairy manufacturing industry ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 137-156, June.
    4. Tovar, Beatriz & Javier Ramos-Real, Francisco & de Almeida, Edmar Fagundes, 2011. "Firm size and productivity. Evidence from the electricity distribution industry in Brazil," Energy Policy, Elsevier, vol. 39(2), pages 826-833, February.
    5. Pérez-Reyes, Raúl & Tovar, Beatriz, 2010. "Explaining the inefficiency of electrical distribution companies: Peruvian firms," Energy Economics, Elsevier, vol. 32(5), pages 1175-1181, September.
    6. Luisa Affuso & Alvaro Angeriz & Michael Pollitt, 2009. "The Impact of Privatisation on the Efficiency of Train Operation in Britain," Working Papers 28, Queen Mary, University of London, School of Business and Management, Centre for Globalisation Research.
    7. González, MarI´a Manuela & Trujillo, Lourdes, 2008. "Reforms and infrastructure efficiency in Spain's container ports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(1), pages 243-257, January.
    8. Ogundari, K. & Brümmer, Bernhard, 2011. "Estimating Technical Efficiency, Input substitution and complementary effects using Output Distance Function: A study of Cassava production in Nigeria," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 12(2).
    9. Nguyen, Huy, 2014. "Crop diversification, economic performance and household’s behaviours Evidence from Vietnam," MPRA Paper 59090, University Library of Munich, Germany.
    10. Jiang, Chunxia & Yao, Shujie & Zhang, Zongyi, 2009. "The effects of governance changes on bank efficiency in China: A stochastic distance function approach," China Economic Review, Elsevier, vol. 20(4), pages 717-731, December.
    11. Brummer, B. & Glauben, T. & Lu, W., 2006. "Policy reform and productivity change in Chinese agriculture: A distance function approach," Journal of Development Economics, Elsevier, vol. 81(1), pages 61-79, October.
    12. Ripoll-Zarraga, Ane Elixabete & Raya, Josep Maria, 2020. "Tourism indicators and airports' technical efficiency," Annals of Tourism Research, Elsevier, vol. 80(C).
    13. Zhu, Xueqin & Milán Demeter, Róbert, 2012. "Technical efficiency and productivity differentials of dairy farms in three EU countries: the role of CAP subsidies," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(1), pages 1-27.
    14. Resende, Marcelo, 2008. "Efficiency measurement and regulation in US telecommunications: A robustness analysis," International Journal of Production Economics, Elsevier, vol. 114(1), pages 205-218, July.
    15. Derek Headey & Mohammad Alauddin & D.S. Prasada Rao, 2010. "Explaining agricultural productivity growth: an international perspective," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 1-14, January.
    16. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    17. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    18. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
    19. Thomas Bolli & Mehdi Farsi, 2015. "The dynamics of productivity in Swiss universities," Journal of Productivity Analysis, Springer, vol. 44(1), pages 21-38, August.
    20. Henderson, B. & Godde, C. & Medina-Hidalgo, D. & van Wijk, M. & Silvestri, S. & Douxchamps, S. & Stephenson, E. & Power, B. & Rigolot, C. & Cacho, O. & Herrero, M., 2016. "Closing system-wide yield gaps to increase food production and mitigate GHGs among mixed crop–livestock smallholders in Sub-Saharan Africa," Agricultural Systems, Elsevier, vol. 143(C), pages 106-113.

    Corrections

    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.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.