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Dynamic efficiency of German dairy farms under uncertainty

Author

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  • Silke Hüttel
  • Rashmi Narayana
  • Christina Wagner
  • Martin Odening

Abstract

Output and price uncertainty determines the optimal allocation of variable inputs, and by the same token, firms' long-term adjustment of quasi-fixed factors. Dynamic efficiency measures, however, have thus far ignored uncertainty. To address this gap we present a model for dynamic efficiency measurement that combines a shadow cost approach with a stochastic dynamic cost-minimisation. We apply this model to western German dairy farm-level data from 1996-2010. We find that farms are more efficient in the long-run factor adjustment compared to the short-run, though they exhibit sensitivity to uncertainty. Neglecting uncertainty will overestimate average inefficiency and thus farms may appear seemingly inefficient.

Suggested Citation

  • Silke Hüttel & Rashmi Narayana & Christina Wagner & Martin Odening, 2017. "Dynamic efficiency of German dairy farms under uncertainty," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 18(4), pages 427-458.
  • Handle: RePEc:ids:ijbpma:v:18:y:2017:i:4:p:427-458
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    Cited by:

    1. Frederic Ang & Alfons Oude Lansink, 2018. "Decomposing dynamic profit inefficiency of Belgian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 81-99.
    2. Ioannis Skevas & Alfons Oude Lansink, 2020. "Dynamic Inefficiency and Spatial Spillovers in Dutch Dairy Farming," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 742-759, September.

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