Threshold incentive mechanisms for the sustainable management of public resources.

IF 3.2 2区 数学 Q1 MATHEMATICS, APPLIED Chaos Pub Date : 2024-10-01 DOI:10.1063/5.0233220
Lichen Wang, Shijia Hua, Yuyuan Liu, Liang Zhang, Linjie Liu
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Abstract

Maintaining global ecological balance is inextricably linked to the effective governance of public resources. Previous studies have proposed the introduction of incentive mechanisms to mitigate the defection behavior within the scope of public resource management to facilitate sustainable utilization. However, these incentive strategies often present a considerable financial burden. Here, we first propose a two-threshold incentive scheme based on group state objectives, where the reward mechanism is triggered when the number of cooperators is below the threshold M, and the punishment mechanism is triggered when the number of cooperators is above the threshold Q. We further introduce an incentive mechanism by considering both resource and group thresholds, where incentives are implemented separately when the number of cooperators and the current quantity of resources meet thresholds. Our theoretical results reveal that introducing these two new mechanisms can effectively maintain cooperative behavior and sustainable resources while reducing management costs. However, if the initial resource level is low, the tragedy of the commons will still occur. It is recommended that the number of developers be reduced, the allocation be lowered, or the development simply suspended and the natural regeneration of resources be waited for.

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公共资源可持续管理的门槛激励机制。
维护全球生态平衡与公共资源的有效治理密不可分。以往的研究提出,在公共资源管理范围内引入激励机制,以减少变节行为,促进可持续利用。然而,这些激励策略往往会带来相当大的财政负担。在这里,我们首先提出了一种基于群体状态目标的双阈值激励方案,即当合作者数量低于阈值 M 时触发奖励机制,当合作者数量高于阈值 Q 时触发惩罚机制。我们还进一步引入了一种同时考虑资源和群体阈值的激励机制,即当合作者数量和当前资源数量达到阈值时分别实施激励。我们的理论结果表明,引入这两种新机制可以有效维持合作行为和可持续资源,同时降低管理成本。但是,如果初始资源水平较低,公地悲剧仍会发生。建议减少开发者的数量,降低分配额度,或者干脆暂停开发,等待资源的自然再生。
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来源期刊
Chaos
Chaos 物理-物理:数学物理
CiteScore
5.20
自引率
13.80%
发文量
448
审稿时长
2.3 months
期刊介绍: Chaos: An Interdisciplinary Journal of Nonlinear Science is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena and describing the manifestations in a manner comprehensible to researchers from a broad spectrum of disciplines.
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