20.500.12556/DKUM-88776 A game theoretical model for the stimulation of public cooperation in environmental collaborative governance Digital technologies provide a convenient way for the public to participate in environmental governance. Therefore, by means of a two-stage evolutionary model, a new mechanism for promoting public cooperation is proposed to accomplish environmental collaborative governance. Interactive effects of government-enterprise environmental governance are firstly explored, which is the external atmosphere for public behaviour. Second, the evolutionary dynamics of public behaviour is analysed to reveal the internal mechanism of the emergence of public cooperation in environmental collaborative governance projects. Simulations reveal that the interaction of resource elements between government and enterprise is an important basis for environmental governance performance, and that governments can improve this as well as public cooperation by increasing the marginal governance propensity. Similarly, an increase in the government's fixed expenditure item of environmental governance can also significantly improve government-enterprise performance and public cooperation. And finally, the effect of government's marginal incentive propensity on public environmental governance is moderated by enterprises' marginal environmental governance propensity, so that simply increasing the government's marginal incentive propensity cannot improve the evolutionary stable state of public behaviour under the scenario where enterprises’ marginal environmental governance propensity is low. game theory human behaviour cooperation mathematical model common goods teorija iger človeško vedenje sodelovanje matematični model skupno dobro true false true Angleški jezik Slovenski jezik Znanstveno delo 2024-05-24 03:57:53 2024-05-28 14:04:14 2025-01-10 03:11:39 0000-00-00 00:00:00 2022 0 0 str. 1-17 št.. 11 Letn. 9 2022 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2022-09-07 2022-10-19 2022-11-09 53 129248771 10.1098/rsos.221148 2054-5703 RAZ_Fang_Yinhai_2022.pdf RAZ_Fang_Yinhai_2022.pdf 1 26E753CE4BC72518CA4BCD5644772882 1c06a8dc9aee43aa232d80a96ae15afd4eef9ff6ad7d921242b7d3c3b1db444f e96c4f2e-ce8e-11ef-8a9c-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187716 https://doi.org/10.1098/rsos.221148 0 03aaf141-ce8f-11ef-8a9c-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187717 Fakulteta za naravoslovje in matematiko 0 0 0