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Using Simulation Experiments to Test Historical Explanations: The Development of the German Dye Industry 1857–1913

In: Foundations of Economic Change

Author

Listed:
  • Thomas Brenner

    (Philipps University Marburg)

  • Johann Peter Murmann

    (UNSW Australia Business School)

Abstract

In a simulation experiment, building on the abductive simulation approach of Brenner and Werker (Comput Econ 30(3):227–244, 2007), we test historical explanations for why German firms came to surpass British and France firms and to dominate the global synthetic dye industry for three decades before World War I while the U.S. never achieved large market share despite large home demand. Murmann and Homburg (J Evol Econ 11(2):177–205, 2001) and Murmann (Knowledge and competitive advantage: the coevolution of firms, technology, and national institutions. Cambridge University Press, 2003) argued that German firms came to dominate the global industry because of (1) the high initial number of chemists in Germany at the start of the industry in 1857, (2) the high responsiveness of the German university system and (3) the late (1877) introduction of a patent regime in Germany as well as the more narrow construction of this regime compared to Britain, France and the U.S. We test the validity of these three potential explanations with the help of simulation experiments. The experiments show that the second explanation—the high responsiveness of the German university system—is the most compelling one because unlike the other two it is true for virtually all plausible historical settings.

Suggested Citation

  • Thomas Brenner & Johann Peter Murmann, 2017. "Using Simulation Experiments to Test Historical Explanations: The Development of the German Dye Industry 1857–1913," Economic Complexity and Evolution, in: Andreas Pyka & Uwe Cantner (ed.), Foundations of Economic Change, pages 433-459, Springer.
  • Handle: RePEc:spr:eccchp:978-3-319-62009-1_18
    DOI: 10.1007/978-3-319-62009-1_18
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    Cited by:

    1. is not listed on IDEAS
    2. Crafts, Nicholas, 2020. "British Relative Economic Decline in the Aftermath of German Unification," CAGE Online Working Paper Series 501, Competitive Advantage in the Global Economy (CAGE).
    3. Johann Peter Murmann, 2020. "Historical methods in the social sciences: Commentary on Schoemaker 2020," Futures & Foresight Science, John Wiley & Sons, vol. 2(3-4), September.
    4. 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.
    5. Franco Malerba & Keun Lee, 2021. "An evolutionary perspective on economic catch-up by latecomers [Catching-up, forging ahead, and falling behind]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 30(4), pages 986-1010.
    6. Li, Daitian & Malerba, Franco, 2024. "Technological change and the evolution of the links across sectoral systems: The case of mobile communications," Technovation, Elsevier, vol. 130(C).
    7. Gianluca Capone & Daitian Li, 2021. "History-Friendly Modeling: An Evolutionary Tool for Strategy Research," Strategy Science, INFORMS, vol. 6(4), pages 436-443, December.
    8. Li, Daitian & Capone, Gianluca & Malerba, Franco, 2019. "The long march to catch-up: A history-friendly model of China’s mobile communications industry," Research Policy, Elsevier, vol. 48(3), pages 649-664.
    9. 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.

    More about this item

    Keywords

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    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • L65 - Industrial Organization - - Industry Studies: Manufacturing - - - Chemicals; Rubber; Drugs; Biotechnology; Plastics
    • N12 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - U.S.; Canada: 1913-
    • N13 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - Europe: Pre-1913
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

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