
doi: 10.1111/itor.12019
AbstractThis paper proposes a dynamic game model of the process through which countries join international environmental agreements (IEAs). The model assumes that both the number of signatory countries and the stock of accumulated pollution evolve over time, as a result of countries’ emission and membership decisions. The evolution of the number of signatory countries is described by a discrete‐time replicator dynamics, while that of the stock of pollution results from feedback emission strategies. We show that evolutionary farsightedness, that is, the capacity of players to account for the impact of their decisions on the evolution of the number of signatory countries, is beneficial to the formation and stability of self‐enforcing IEAs.
Dynamic games, international environmental agreements, Environmental economics (natural resource models, harvesting, pollution, etc.), Other game-theoretic models, Evolutionary games, replicator dynamics, dynamic games
Dynamic games, international environmental agreements, Environmental economics (natural resource models, harvesting, pollution, etc.), Other game-theoretic models, Evolutionary games, replicator dynamics, dynamic games
| selected citations These citations are derived from selected sources. 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). | 5 | |
| 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. | Average |
