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

Sanjit Dhami, Paolo Zeppini

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number106953
JournalJournal of Economic Behavior and Organization
Volume233
Early online date8 Mar 2025
DOIs
Publication statusE-pub ahead of print - 8 Mar 2025

Data Availability Statement

Data will be made available on request.

Keywords

  • Climate change
  • Complexity
  • Green subsidies
  • Increasing returns
  • Lock-in effects
  • Pigouvian taxes
  • Public policy
  • Stochastic dynamics
  • Technology choice

ASJC Scopus subject areas

  • Economics and Econometrics
  • Organizational Behavior and Human Resource Management

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