
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
A brave new world? Kantian–Nashian interaction and the dynamics of global climate change mitigation

handle: 1885/231010
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.
- University of Melbourne Australia
- Australian National University Australia
- University of Tasmania Australia
- Centre of Excellence for Biosecurity Risk Analysis Australia
- McGill University Canada
Social norms, Dynamic games, Kantian equilibrium, Climate change
Social norms, Dynamic games, Kantian equilibrium, Climate change
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).36 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 This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
