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Cyclicality of capital-intensive industries: a system dynamics simulation study of the paper industry

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  • Berends, P. A. J.
  • Romme, A. G. L.

Abstract

This paper provides a view on the cyclicality of capital-intensive industries that could add considerably to our understanding of how cycles in prices, profits and capacity come about. Previous studies of business cycles focus on macro-economic systems or on the agricultural sector. Causes for fluctuations are typically believed to be mainly exogenous in nature. We seek to extend the existing literature on industrial cycles by developing a model that incorporates endogenously generated cyclicality. A simulation model of the paper industry is developed, and validated on the basis of data for the US paper industry.

Suggested Citation

  • Berends, P. A. J. & Romme, A. G. L., 2001. "Cyclicality of capital-intensive industries: a system dynamics simulation study of the paper industry," Omega, Elsevier, vol. 29(6), pages 543-552, December.
  • Handle: RePEc:eee:jomega:v:29:y:2001:i:6:p:543-552
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    1. Zarnowitz, Victor, 1985. "Recent Work on Business Cycles in Historical Perspective: A Review of Theories and Evidence," Journal of Economic Literature, American Economic Association, vol. 23(2), pages 523-580, June.
    2. Barlas, Yaman, 1989. "Multiple tests for validation of system dynamics type of simulation models," European Journal of Operational Research, Elsevier, vol. 42(1), pages 59-87, September.
    3. Sterman, John D., 1985. "A behavioral model of the economic long wave," Journal of Economic Behavior & Organization, Elsevier, vol. 6(1), pages 17-53, March.
    4. Craig Gallet, 1997. "Cyclical fluctuations and coordination in the US steel industry," Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 279-285.
    5. John D. Sterman, 1989. "Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment," Management Science, INFORMS, vol. 35(3), pages 321-339, March.
    6. Bernard Schaffer, 1980. "Insiders and Outsiders: Insidedness, Incorporation and Bureaucratic Politics," Development and Change, International Institute of Social Studies, vol. 11(2), pages 187-210, April.
    7. Berends, Peter & Romme, Georges, 1999. "Simulation as a research tool in management studies," European Management Journal, Elsevier, vol. 17(6), pages 576-583, December.
    8. Finn E. Kydland (ed.), 1995. "Business Cycle Theory," Books, Edward Elgar Publishing, number 565.
    9. David E. Mills, 1990. "Capacity Expansion and the Size of Plants," RAND Journal of Economics, The RAND Corporation, vol. 21(4), pages 555-566, Winter.
    10. Mosekilde, Erik & Rasmussen, Steen, 1986. "Technical economic succession and the economic long wave," European Journal of Operational Research, Elsevier, vol. 25(1), pages 27-38, April.
    11. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    12. Van Witteloostuijn, Arjen, 1990. "Learning in economic theory: a taxonomy with an application to expectations formation," Journal of Economic Psychology, Elsevier, vol. 11(2), pages 183-207, June.
    13. Magda Kandil, 1997. "What differentiates industrial business cycles? A cross-country investigation," Applied Economics, Taylor & Francis Journals, vol. 29(2), pages 197-212.
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    Cited by:

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    3. Brunnhofer, Magdalena & Gabriella, Natasha & Schöggl, Josef-Peter & Stern, Tobias & Posch, Alfred, 2020. "The biorefinery transition in the European pulp and paper industry – A three-phase Delphi study including a SWOT-AHP analysis," Forest Policy and Economics, Elsevier, vol. 110(C).
    4. Claassen, G.D.H., 2014. "Mixed integer (0–1) fractional programming for decision support in paper production industry," Omega, Elsevier, vol. 43(C), pages 21-29.
    5. J H Chen & T S Jan, 2005. "A system dynamics model of the semiconductor industry development in Taiwan," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1141-1150, October.
    6. Martina Novotná & Ivana Faltová Leitmanová & Jiří Alina & Tomáš Volek, 2020. "Capital Intensity and Labour Productivity in Waste Companies," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
    7. Bob Walrave & A Georges L Romme & Kim E van Oorschot & Fred Langerak, 2017. "Managerial attention to exploitation versus exploration: toward a dynamic perspective on ambidexterity," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(6), pages 1145-1160.
    8. Arango, Santiago & Larsen, Erik, 2011. "Cycles in deregulated electricity markets: Empirical evidence from two decades," Energy Policy, Elsevier, vol. 39(5), pages 2457-2466, May.
    9. Ekinci, Esra & Mangla, Sachin Kumar & Kazancoglu, Yigit & Sarma, P.R.S. & Sezer, Muruvvet Deniz & Ozbiltekin-Pala, Melisa, 2022. "Resilience and complexity measurement for energy efficient global supply chains in disruptive events," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
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