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Green technology adoption under uncertainty, increasing returns, and complex adaptive dynamics

Author

Listed:
  • Sanjit Dhami
  • Paolo Zeppini

    (GREDEG - Groupe de Recherche en Droit, Economie et Gestion - UNS - Université Nice Sophia Antipolis (1965 - 2019) - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur)

Abstract

We consider firms' choices between a clean technology that benefits, and a dirty technology that harms, the environment. Green firms are more suited to the clean technology and brown firms are more suited to the dirty technology. We use a model derived from complexity theory that takes account of true uncertainty and increasing returns to technology adoption. We examine theoretically, the properties of the long-run equilibrium, and provide simulated time paths of technology adoption, using plausible dynamics. The long-run outcome is an 'emergent property' of the system, and is unpredictable despite there being no external technological or preference shocks. We describe the role of taxes and subsidies in facilitating adoption of the clean technology; the conflict between optimal Pigouvian taxes and adoption of clean technologies; the optimal temporal profile of subsidies; and the desirability of an international fund to provide technology assistance to poorer countries.

Suggested Citation

  • Sanjit Dhami & Paolo Zeppini, 2025. "Green technology adoption under uncertainty, increasing returns, and complex adaptive dynamics," Post-Print hal-04998831, HAL.
    • Handle: RePEc:hal:journl:hal-04998831
    DOI: 10.1016/j.jebo.2025.106953
    Note: View the original document on HAL open archive server: https://cnrs.hal.science/hal-04998831v1
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