IDEAS home Printed from https://ideas.repec.org/a/spr/joevec/v26y2016i4d10.1007_s00191-015-0430-8.html
   My bibliography  Save this article

Using simulation experiments to test historical explanations: the development of the German dye industry 1857-1913

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 (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 1 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 (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 2nd 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, 2016. "Using simulation experiments to test historical explanations: the development of the German dye industry 1857-1913," Journal of Evolutionary Economics, Springer, vol. 26(4), pages 907-932, October.
  • Handle: RePEc:spr:joevec:v:26:y:2016:i:4:d:10.1007_s00191-015-0430-8
    DOI: 10.1007/s00191-015-0430-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00191-015-0430-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00191-015-0430-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Johann Peter Murmann, 2013. "The Coevolution of Industries and Important Features of Their Environments," Organization Science, INFORMS, vol. 24(1), pages 58-78, February.
    2. Mathijs De Vaan & Ron Boschma & Koen Frenken, 2013. "Clustering and firm performance in project-based industries: the case of the global video game industry , 1972--2007," Journal of Economic Geography, Oxford University Press, vol. 13(6), pages 965-991, November.
    3. Guido Buenstorf & Steven Klepper, 2009. "Heritage and Agglomeration: The Akron Tyre Cluster Revisited," Economic Journal, Royal Economic Society, vol. 119(537), pages 705-733, April.
    4. Thomas Brenner & Matthias Duschl, 2014. "Modelling Firm and Market Dynamics - A Flexible Model Reproducing Existing Stylized Facts," Working Papers on Innovation and Space 2014-07, Philipps University Marburg, Department of Geography.
    5. David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-337, May.
    6. Thomas Brenner & Claudia Werker, 2007. "A Taxonomy of Inference in Simulation Models," Computational Economics, Springer;Society for Computational Economics, vol. 30(3), pages 227-244, October.
    7. Gaston Heimeriks & Ron Boschma, 2014. "The path- and place-dependent nature of scientific knowledge production in biotech 1986–2008," Journal of Economic Geography, Oxford University Press, vol. 14(2), pages 339-364.
    8. Robert C. Allen, 2003. "Progress and poverty in early modern Europe," Economic History Review, Economic History Society, vol. 56(3), pages 403-443, August.
    9. Rik Wenting & Koen Frenken, 2011. "Firm entry and institutional lock-in: an organizational ecology analysis of the global fashion design industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 20(4), pages 1031-1048, August.
    10. Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(1), pages 3-40, March.
    11. Franco Malerba & Richard Nelson & Luigi Orsenigo & Sidney Winter, 2008. "Vertical integration and disintegration of computer firms: a history-friendly model of the coevolution of the computer and semiconductor industries," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 17(2), pages 197-231, April.
    12. Steven Klepper, 2007. "Disagreements, Spinoffs, and the Evolution of Detroit as the Capital of the U.S. Automobile Industry," Management Science, INFORMS, vol. 53(4), pages 616-631, April.
    13. Johann Peter Murmann & Ernst Homburg, 2001. "special feature: Comparing evolutionary dynamics across different national settings: the case of the synthetic dye industry, 1857-1914," Journal of Evolutionary Economics, Springer, vol. 11(2), pages 177-205.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. 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).
    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. 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.
    7. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ron Boschma, 2015. "Do spinoff dynamics or agglomeration externalities drive industry clustering? A reappraisal of Steven Klepper’s work," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 24(4), pages 859-873.
    2. Nicholas S. Argyres & Alfredo De Massis & Nicolai J. Foss & Federico Frattini & Geoffrey Jones & Brian S. Silverman, 2020. "History‐informed strategy research: The promise of history and historical research methods in advancing strategy scholarship," Strategic Management Journal, Wiley Blackwell, vol. 41(3), pages 343-368, March.
    3. Ron Martin & Peter Sunley, 2010. "The Place of Path Dependence in an Evolutionary Perspective on the Economic Landscape," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 3, Edward Elgar Publishing.
    4. Ron Boschma, Lars Coenen, Koen Frenken, Bernhard Truffer & Lars Coenen & Koen Frenken & Bernhard Truffer, 2016. "Towards a theory of regional diversification," Papers in Evolutionary Economic Geography (PEEG) 1617, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2016.
    5. Ron Boschma & Ron Martin, 2010. "The Aims and Scope of Evolutionary Economic Geography," Chapters, in: Ron Boschma & Ron Martin (ed.), The Handbook of Evolutionary Economic Geography, chapter 1, Edward Elgar Publishing.
    6. Andrea Morrison & Ron Boschma, 2019. "The spatial evolution of the Italian motorcycle industry (1893–1993): Klepper’s heritage theory revisited," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 28(3), pages 613-634.
    7. Ron Boschma & Matté Hartog, 2014. "Merger and Acquisition Activity as Driver of Spatial Clustering: The Spatial Evolution of the Dutch Banking Industry, 1850–1993," Economic Geography, Taylor & Francis Journals, vol. 90(3), pages 247-266, July.
    8. Ferriani, Simone & Lazerson, Mark H. & Lorenzoni, Gianni, 2020. "Anchor entrepreneurship and industry catalysis: The rise of the Italian Biomedical Valley," Research Policy, Elsevier, vol. 49(8).
    9. Fredin, Sabrina, 2012. "The Dynamics and Evolution of Local Industries – The case of Linköping," Papers in Innovation Studies 2012/7, Lund University, CIRCLE - Centre for Innovation Research.
    10. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    11. Colombelli, Alessandra & Krafft, Jackie & Quatraro, Francesco, 2014. "The emergence of new technology-based sectors in European regions: A proximity-based analysis of nanotechnology," Research Policy, Elsevier, vol. 43(10), pages 1681-1696.
    12. Ron Boschma & Koen Frenken, 2015. "Evolutionary Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 1518, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2015.
    13. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    14. Hervas Oliver,Jose Luis & Gonzalez,Gregorio & Caja,Pedro, 2014. "Clusters and industrial districts: where is the literature going? Identifying emerging sub-fields of research," INGENIO (CSIC-UPV) Working Paper Series 201409, INGENIO (CSIC-UPV).
    15. Rehák Štefan & Hudec Oto & Buček Milan, 2013. "Path dependency and path plasticity in emerging industries: Two cases from Slovakia," ZFW – Advances in Economic Geography, De Gruyter, vol. 57(1-2), pages 52-66, October.
    16. Giovanni Gavetti & Constance E. Helfat & Luigi Marengo, 2017. "Searching, Shaping, and the Quest for Superior Performance," Strategy Science, INFORMS, vol. 2(3), pages 194-209, September.
    17. Mark J. O. Bagley, 2019. "Networks, geography and the survival of the firm," Journal of Evolutionary Economics, Springer, vol. 29(4), pages 1173-1209, September.
    18. Sándor Juhász, 2021. "Spinoffs and tie formation in cluster knowledge networks," Small Business Economics, Springer, vol. 56(4), pages 1385-1404, April.
    19. 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.
    20. Luis Cabral & Zhu Wang & Daniel Yi Xu, 2018. "Competitor, Complementors, Parents and Places: Explaining Regional Agglomeration in the U.S. Auto Industry," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 1-29, October.

    More about this item

    Keywords

    Simulation experiment; Historical development; Dye industry; Industrial development; University education; Patent law;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joevec:v:26:y:2016:i:4:d:10.1007_s00191-015-0430-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.