20.500.12556/DKUM-88191 Rewarding policies in an asymmetric game for sustainable tourism 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. rewarding asymmetric game migration evolutionary game theory sustainability tourism nagrajevanje asimetrična igra evolucijska teorija iger trajnost turizem true true true Elsevier Angleški jezik Slovenski jezik Članek v reviji 2024-04-11 03:52:47 2024-07-24 14:20:40 2024-07-25 04:09:38 0000-00-00 00:00:00 2023 0 0 12 str. [article no.] ǂ128183 Vol. 457 Nov. 2023 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-04-24 2023-06-05 2023-06-07 53 155888387 10.1016/j.amc.2023.128183 0096-3003 RAZ_Chica_Manuel_2023.pdf RAZ_Chica_Manuel_2023.pdf 1 8FCAE307DF83EFD8C464F3E5EE4E2095 801e7187b538d431cd5757ce034fe54a7075ed88ba8715629edba0450c257447 9fa068a0-49b6-11ef-934d-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=181768 https://doi.org/10.1016/j.amc.2023.128183 0 bda8d7af-49b6-11ef-934d-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=181769 Fakulteta za naravoslovje in matematiko 0 0 0