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Competing Recombinant Technologies for Environmental Innovation: Extending Arthur’s Model of Lock-in Abstract: This article presents a model of sequential decisions about investments in environmentally dirty and clean technologies, which extends the path-dependence framework of Arthur (1989). This allows us to evaluate if and how an economy locked into a dirty technology can be unlocked and move towards the clean technology. The main extension involves the inclusion of the effect of recombinant innovation of the two technologies. A mechanism of endogenous competition is described involving a positive externality of increasing returns to investment which are counterbalanced by recombinant innovation. We determine conditions under which lock-in can be avoided or escaped. A second extension is “symmetry breaking†of the system due to the introduction of an environmental policy that charges a price for polluting. A final extension adds a cost of environmental policy in the form of lower returns on investment implemented through a growth-depressing factor. We compare cumulative pollution under different scenarios, so that we can evaluate the combination of environmental regulation and recombinant innovation

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  • Van den Bergh, J.C.J.M.
  • Zeppini Rossi, P.

    (University of Amsterdam)

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  • Van den Bergh, J.C.J.M. & Zeppini Rossi, P., 2010. "Competing Recombinant Technologies for Environmental Innovation: Extending Arthur’s Model of Lock-in Abstract: This article presents a model of sequential decisions about investments in environmenta," CeNDEF Working Papers 10-11, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    • Handle: RePEc:ams:ndfwpp:10-11
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    1. van den Bergh, Jeroen C.J.M., 2008. "Optimal diversity: Increasing returns versus recombinant innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 565-580, December.
    2. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    3. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186, Elsevier.
    4. Zeppini, Paolo & van den Bergh, Jeroen C.J.M., 2013. "Optimal diversity in investments with recombinant innovation," Structural Change and Economic Dynamics, Elsevier, vol. 24(C), pages 141-156.
    5. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
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