Sun Weiwei, Liu Linjie, Chen Xiaojie, Szolnoki Attila, Vasconcelos Vítor V
School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China.
Institute of Technical Physics and Materials Science, Centre for Energy Research, P.O. Box 49, Budapest 1525, Hungary.
iScience. 2021 Jul 12;24(8):102844. doi: 10.1016/j.isci.2021.102844. eCollection 2021 Aug 20.
Finding appropriate incentives to enforce collaborative efforts for governing the commons in risky situations is a long-lasting challenge. Previous works have demonstrated that both punishing free-riders and rewarding cooperators could be potential tools to reach this goal. Despite weak theoretical foundations, policy makers frequently impose a punishment-reward combination. Here, we consider the emergence of positive and negative incentives and analyze their simultaneous impact on sustaining risky commons. Importantly, we consider institutions with fixed and flexible incentives. We find that a local sanctioning scheme with pure reward is the optimal incentive strategy. It can drive the entire population toward a highly cooperative state in a broad range of parameters, independently of the type of institutions. We show that our finding is also valid for flexible incentives in the global sanctioning scheme, although the local arrangement works more effectively.
在风险情境下,找到合适的激励措施以促使各方共同努力管理公共资源是一项长期挑战。先前的研究表明,惩罚搭便车者和奖励合作者都可能是实现这一目标的潜在手段。尽管理论基础薄弱,但政策制定者经常采用惩罚与奖励相结合的方式。在此,我们探讨正负激励措施的出现,并分析它们对维持风险公共资源的同时影响。重要的是,我们考虑了具有固定和灵活激励机制的制度。我们发现,纯奖励的局部制裁方案是最优激励策略。在广泛的参数范围内,它能使全体人群趋向高度合作状态,且与制度类型无关。我们表明,尽管局部安排效果更佳,但我们的发现对于全球制裁方案中的灵活激励措施同样适用。