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Incorporating price-induced innovation in a symmetric generalised McFadden cost function with several outputs

Author

Listed:
  • Ludo Peeters

    (Institute for Applied Economic Research (ITEO) - LUC - Limburg University Center)

  • Yves Surry

    (Unité d'économie et sociologie rurales de rennes - INRA - Institut National de la Recherche Agronomique)

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.

Suggested Citation

  • Ludo Peeters & Yves Surry, 2000. "Incorporating price-induced innovation in a symmetric generalised McFadden cost function with several outputs," Post-Print hal-01593889, HAL.
    • Handle: RePEc:hal:journl:hal-01593889
    DOI: 10.1023/A:1007843928635
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    Citations

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    Cited by:

    1. Philip J. Dawson & Ana I. Sanjuán & Ben White, 2006. "Structural Breaks and the Relationship between Barley and Wheat Futures Prices on the London International Financial Futures Exchange," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(4), pages 585-594.
    2. Ka Kei Gary Wong & Min Qiang Zhao, 2023. "Induced innovation and its impact on productivity growth in China: a latent variable approach," Empirical Economics, Springer, vol. 65(1), pages 371-399, July.
    3. Yazid Dissou & Reza Ghazal, 2010. "Energy Substitutability in Canadian Manufacturing Econometric Estimation with Bootstrap Confidence Intervals," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 121-148.
    4. De Blander, Rembert & Frahan, Bruno Henry de, 2011. "Analysis of Technical and Policy Changes for Belgian Dairy Farms Using an Estimated Augmented SGM Cost Function," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114546, European Association of Agricultural Economists.
    5. Esposti, Roberto & Pierani, Pierpaolo, 2008. "Price-induced technical progress in Italian agriculture," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 89(4).
    6. Belton M. Fleisher & William H. McGuire & Xiaojun Wang & Min Qiang Zhao, 2021. "Induced innovation: evidence from China’s secondary industry," Applied Economics, Taylor & Francis Journals, vol. 53(52), pages 6075-6093, November.
    7. 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), pages 1-20.
    8. 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).
    9. 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.
    10. K. K. Gary Wong & Belton M. Fleisher & Min Qiang Zhao & William H. McGuire, 2022. "Technical progress and induced innovation in China: a variable profit function approach," Journal of Productivity Analysis, Springer, vol. 57(2), pages 177-191, April.

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