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Incorporating Price-Induced Innovation in a Symmetric Generalised McFadden Cost Function with Several Outputs

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  • Ludo Peeters
  • Yves Surry

Abstract

This paper proposes a multiple-output Symmetric Generalised McFadden (SGM) cost function, incorporating both exogenous and endogenous technological change. Whilst exogenous technological change is captured by the usual time trend, endogenous or price-induced technological change is cast within a partial-adjustment framework involving lagged input prices. The study points to various dimensions or components of technological change, and allows to disentangle “pure” factor substitution, given the state of the technology, from factor substitution due to price-induced changes in technology. Under the conditions of non-jointness in input quantities, the model further allows to identify technological change biases for each output separately. An empirical application is presented in which the proposed model is applied to time-series data on the feed manufacturing industry in Belgium. To improve on the econometrics, the SGM cost function also incorporates linear splines. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Ludo Peeters & Yves Surry, 2000. "Incorporating Price-Induced Innovation in a Symmetric Generalised McFadden Cost Function with Several Outputs," Journal of Productivity Analysis, Springer, vol. 14(1), pages 53-70, July.
    • Handle: RePEc:kap:jproda:v:14:y:2000:i:1:p:53-70
    DOI: 10.1023/A:1007843928635
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Pierani, Pierpaolo & Rizzi, Pier Luigi, 2003. "Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 29(2), October.
    2. Roberto Esposti & Pierpaolo Pierani, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 89(4), pages 5-28.
    3. Louhichi, Kamel & Jacquet, Florence & Butault, Jean Pierre, 2012. "Estimating input allocation from heterogeneous data sources: A comparison of alternative estimation approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 13(2), June.
    4. Pierani, Pierpaolo & Rizzi, Pier Luigi, 2003. "Technology and efficiency in a panel of Italian dairy farms: an SGM restricted cost function approach," Agricultural Economics, Blackwell, vol. 29(2), pages 195-209, October.
    5. Esposti, Roberto & Pierani, Pierpaolo, 2005. "Price-Induced Technological Change in Italian Agriculture: An SGM Restricted Cost Function Approach (1951-91)," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24662, European Association of Agricultural Economists.
    6. Kenneth Stewart, 2009. "Non-jointness and scope economies in the multiproduct symmetric generalized McFadden cost function," Journal of Productivity Analysis, Springer, vol. 32(3), pages 161-171, December.
    7. Wieck, Christine & Heckelei, Thomas, 2004. "Development Of Marginal Cost Distributions In Dairy Production Regions Of The Eu," 2004 Annual meeting, August 1-4, Denver, CO 19943, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Casasnovas, Valero L. & Aldanondo, Ana Maria, 2011. "Influence of Animal Feeding on Milk Supply in Navarre," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114316, European Association of Agricultural Economists.

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