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A Simulation Model of the Evolution of the Pharmaceutical Industry: A History-Friendly Model

Author

Listed:
  • Christian Garavaglia
  • Luigi Orsenigo
  • Michele Pezzoni

    (CRIOS - Center for Research on Innovation, Organization and Strategy (University of Bocconi))

  • Franco Malerba

    (Economics - Bocconi University [Milan, Italy])

Abstract

This paper examines the evolution of the pharmaceutical industry. After a brief discussion of the main stylised facts about the industry, we present a history-friendly model that aims at capturing the underlining mechanisms and the logic that guides the evolution of this industry. Simulation results show the mechanisms and dynamic processes linking the patterns of innovation, demand structure, and concentration.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Christian Garavaglia & Luigi Orsenigo & Michele Pezzoni & Franco Malerba, 2013. "A Simulation Model of the Evolution of the Pharmaceutical Industry: A History-Friendly Model," Post-Print halshs-01074520, HAL.
    • Handle: RePEc:hal:journl:halshs-01074520
    as

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    Cited by:

    1. Dosi, Giovanni & Palagi, Elisa & Roventini, Andrea & Russo, Emanuele, 2023. "Do patents really foster innovation in the pharmaceutical sector? Results from an evolutionary, agent-based model," Journal of Economic Behavior & Organization, Elsevier, vol. 212(C), pages 564-589.
    2. Gianluca Capone & Franco Malerba & Richard R. Nelson & Luigi Orsenigo & Sidney G. Winter, 2019. "History friendly models: retrospective and future perspectives," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 1-23, March.
    3. Garavaglia Christian & Malerba Franco & Orsenigo Luigi & Pezzoni Michele, 2014. "Innovation and Market Structure in Pharmaceuticals: An Econometric Analysis on Simulated Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 234(2-3), pages 274-298, April.
    4. Chao Bi & Jingjing Zeng & Wanli Zhang & Yonglin Wen, 2020. "Modelling the Coevolution of the Fuel Ethanol Industry, Technology System, and Market System in China: A History-Friendly Model," Energies, MDPI, vol. 13(5), pages 1-26, February.

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