Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/123953
Título: Rewarding policies in an asymmetric game for sustainable tourism
Autores/as: Balboa La Chica, Pedro Manuel 
Hernández Guerra, Juan María 
Perc, Matjaž
Clasificación UNESCO: 530202 Modelos econométricos
531290 Economía sectorial: turismo
Palabras clave: Asymmetric Game
Evolutionary Game Theory
Migration
Rewarding
Sustainability, et al.
Fecha de publicación: 2023
Publicación seriada: Applied Mathematics and Computation 
Resumen: Tourism is a growing sector worldwide, but many popular destinations are facing sustainability problems due to excessive tourist flows and inappropriate behavior. In these areas, there is an urgent need to apply mechanisms to stimulate sustainable practices. This paper studies the most efficient strategy to incentivize sustainable tourism by using an asymmetric evolutionary game. We analyze the application of rewarding policies to the asymmetric game where tourists and stakeholders interact in a spatial lattice, and where tourists can also migrate. The incentives of the rewarding policies have an economic budget which can be allocated to tourists, to stakeholders, or to both sub-populations. The results show that an adaptive rewarding strategy, where the incentive budget changes over time to one or the other sub-population, is more effective than simple rewarding strategies that are exclusively focused on one sub-population. However, when the population density in the game decreases, rewarding just tourists becomes the most effective strategy.
URI: http://hdl.handle.net/10553/123953
ISSN: 0096-3003
DOI: 10.1016/j.amc.2023.128183
Fuente: Applied Mathematics and Computation[ISSN 0096-3003],v. 457, (Noviembre 2023)
Colección:Artículos
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