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Quasi-fixed inputs in the Italian manufacturing: The case of the pharmaceutical industry

Author

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  • Carbonari, Lorenzo

    () (Department of Economics and Law University of Rome “Tor Vergata”)

Abstract

The aim of this paper is to study the demand for inputs in the Italian manufacturing, using firm-level data on pharmaceutical industry. The Italian pharmaceutical industry is characterized by the existence of long-term labor contracts, and this fact suggests considering labor as quasi-fixed input. In order to characterize firms’ behavior we base our analysis on the restricted Generalized Leontief cost function. The choice of this flexible functional form is due to its ability to capture the input substitution patterns in presence of more than one quasi-fixed input. Therefore demand and substitution elasticities are estimated with respect to two different theoretical models: the first, QFI (1), with capital as quasi-fixed input and the second, QFI (2), with two quasi-fixed inputs, capital and labor. The choice among the two alternative specifications is based on an elasticity comparison criterion, since the two models are not nested. The results suggest a rigid productive structure during the period under observation. Our results confirm the a priori on the labor market rigidity and point out the high heterogeneity between the firms, even controlling for size and nationality.

Suggested Citation

  • Carbonari, Lorenzo, 2012. "Quasi-fixed inputs in the Italian manufacturing: The case of the pharmaceutical industry," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 25(1), pages 51-69.
  • Handle: RePEc:ris:apltrx:0163
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    File URL: http://pe.cemi.rssi.ru/pe_2012_1_51-69.pdf
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    References listed on IDEAS

    as
    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. Vincenzo Atella & Beniamino Quintieri, 1998. "Productivity Growth and the Effects of Recessions," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 57(3-4), pages 359-386, December.
    3. Morrison, C. J. & Berndt, E. R., 1981. "Short-run labor productivity in a dynamic model," Journal of Econometrics, Elsevier, vol. 16(3), pages 339-365, August.
    4. Giuseppe Russo & David Veredas, 2000. "Institutional Rigidities and Employment on the Italian Labour Market: the Dynamic of the Employment in the Large Industrial Firms," CELPE Discussion Papers 53, CELPE - Centre of Labour Economics and Economic Policy, University of Salerno, Italy.
    5. 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.
    6. Morrison, Catherine J, 1986. "Structural Models of Dynamic Factor Demands with Nonstatic Expectations: An Empirical Assessment of Alternative Expectations Specifications," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 365-386, June.
    7. Lorenzo Carbonari, 2009. "How variable is labor input in the Italian manufacturing: the case of the pharmaceutical industry," CEIS Research Paper 140, Tor Vergata University, CEIS, revised 30 Jun 2009.
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    More about this item

    Keywords

    quasi-fixed inputs; restricted Generalized Leontief; pharmaceutical industry;

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics

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