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European Economic Review
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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A brave new world? Kantian–Nashian interaction and the dynamics of global climate change mitigation

Authors: Quentin Grafton; Tom Kompas; Tom Kompas; Ngo Van Long; Ngo Van Long;

A brave new world? Kantian–Nashian interaction and the dynamics of global climate change mitigation

Abstract

Abstract We model game-theoretic situations in which agents motivated by Kantian ethics interact with conventional Nashian agents. We define the concept of generalized Kant–Nash equilibrium which encompasses the Nash equilibrium, the Kantian equilibrium and the Kant–Nash equilibrium as special cases. We show the existence and uniqueness of a Kant–Nash equilibrium in a static game of climate change mitigation, and derive its properties. In a dynamic setting, we analyze a differential game of climate change mitigation in the presence of both types of agents, and compare their Markov emission strategies. For both the static model and the dynamic model, as the population share of Kantians increases, the quality of the environment improves, and both types of agents are better off.

Country
Australia
Keywords

Social norms, Dynamic games, Kantian equilibrium, Climate change

  • BIP!
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    citations
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green
Related to Research communities
Energy Research