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Efficient Innovation in Dairy Production - Empirical Findings for Germany

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  • Sauer, Johannes
  • Latacz-Lohmann, Uwe

Abstract

This empirical study aims to shed light on the dynamic linkages between innovation and efficiency at individual farm level. We use a comprehensive dataset for dairy farms in Germany for the period 1995 to 2010. Based on a directional distance function framework we estimate the changes in efficiency, technical change and productivity over the period considered. In a second step we then investigate possible factors for technically efficient milk production at farm level before we finally try to identify those farms that are capable of translating investments in innovative technologies into actual efficiency gains over time applying a multinomial logit approach. Our empirical findings reveal that investments in innovative dairy technologies are only reflected in higher profitability if sufficient Know-How for the efficient use of these innovations is available.

Suggested Citation

  • Sauer, Johannes & Latacz-Lohmann, Uwe, 2012. "Efficient Innovation in Dairy Production - Empirical Findings for Germany," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 137386, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi12:137386
    DOI: 10.22004/ag.econ.137386
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    References listed on IDEAS

    as
    1. Johannes Sauer & Matthew Gorton & John White, 2012. "Marketing, cooperatives and price heterogeneity: evidence from the CIS dairy sector," Agricultural Economics, International Association of Agricultural Economists, vol. 43(2), pages 165-177, March.
    2. Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
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    5. Furtan, William Hartley & Sauer, Johannes, 2008. "Determinants of Food Industry Performance – Empirical Evidence Based on a Survey," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6422, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
    7. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    8. Sunding, David & Zilberman, David, 2001. "The agricultural innovation process: Research and technology adoption in a changing agricultural sector," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 4, pages 207-261, Elsevier.
    9. Awudu Abdulai & Hendrik Tietje, 2007. "Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 34(3), pages 393-416, September.
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    Livestock Production/Industries;

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