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Effect of Intellectual Property Policy on the Speed of Technological Advancement

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  • Ivan D. Breslavsky

Abstract

In this paper, the agent-based modeling is employed to model the effect of intellectual property policy at the speed of technological advancement. Every agent has inborn preferences towards investing their capital into independent technological development, innovation appropriation, and production. The relative cost of appropriation compared to independent development is chosen as a measure of strictness of intellectual property protection. We vary this parameter and look at the performance of agents with different preferences and overall technological progress. In general, it is found that in the specific setting considered with stronger intellectual property protection leads to faster progress.

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  • Ivan D. Breslavsky, 2017. "Effect of Intellectual Property Policy on the Speed of Technological Advancement," Papers 1706.04518, arXiv.org.
  • Handle: RePEc:arx:papers:1706.04518
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    1. Adam G. Dunn & Blanca Gallego, 2010. "Diffusion of Competing Innovations: The Effects of Network Structure on the Provision of Healthcare," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(4), pages 1-8.
    2. Joseph Zeira, 2011. "Innovations, patent races and endogenous growth," Journal of Economic Growth, Springer, vol. 16(2), pages 135-156, June.
    3. Carliss Baldwin & Eric von Hippel, 2011. "Modeling a Paradigm Shift: From Producer Innovation to User and Open Collaborative Innovation," Organization Science, INFORMS, vol. 22(6), pages 1399-1417, December.
    4. Engel, Christoph & Kleine, Marco, 2015. "Who is afraid of pirates? An experiment on the deterrence of innovation by imitation," Research Policy, Elsevier, vol. 44(1), pages 20-33.
    5. Rory Sie & Peter B. Sloep & Marlies Bitter-Rijpkema, 2014. "If We Work Together, I Will Have Greater Power: Coalitions in Networked Innovation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-3.
    6. Nicolas Carayol & Pascale Roux, 2005. "‘Collective innovation' in a model of network formation with preferential meeting," Post-Print hal-00279446, HAL.
    7. Baker, Scott & Mezzetti, Claudio, 2005. "Disclosure as a Strategy in the Patent Race," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 173-194, April.
    8. Nigel Gilbert & Andreas Pyka & Petra Ahrweiler, 2001. "Innovation Networks - a Simulation Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(3), pages 1-8.
    9. Joshua M. Epstein & Robert L. Axtell, 1996. "Growing Artificial Societies: Social Science from the Bottom Up," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262550253, December.
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