School of Economics and Trade, Chongqing Business Vocational College, Chongqing, China.
School of Business Administration, Chongqing Vocational College of Light Industry, Chongqing, China.
PLoS One. 2024 Jun 20;19(6):e0304445. doi: 10.1371/journal.pone.0304445. eCollection 2024.
The increasingly prominent issue of unfair competition on Internet platforms (IPUC) severely restricts the healthy and sustainable development of the platform economy. Based on the IPUC "multi-agent co-governance" scenario, this paper introduces stochastic disturbances and continuous strategy set to improve the classical binary deterministic evolutionary game system. The results show that after considering stochastic disturbances, the positive state corresponding to the equilibrium point (1,1) is no longer stable, and the required parameter conditions are more stringent. The IPUC "multi-agent co-governance" system under stochastic disturbances exhibits specific vulnerability. In the continuous strategy set evolutionary game system, government departments and Internet platforms can flexibly make optimal decisions based on maximizing expected returns, and strategy selection has better elasticity. Regardless of the evolutionary game scenario, maintaining the participation level of NGOs and the public above a certain threshold while increasing the penalty intensity is conducive to the evolution of the game system toward the positive state. The analysis process and conclusions provide insights and guidance for the governments to design the IPUC regulatory system and frameworks.
互联网平台不公平竞争问题日益突出,严重制约平台经济的健康可持续发展。本文基于互联网平台不公平竞争“多主体协同治理”场景,引入随机干扰项和连续策略集,改进经典的二值确定性进化博弈系统。研究结果表明,考虑随机干扰项后,平衡点(1,1)所对应的正状态不再稳定,所需参数条件更加苛刻,互联网平台不公平竞争“多主体协同治理”系统在随机干扰项下表现出特定脆弱性。在连续策略集进化博弈系统中,政府部门和互联网平台可以根据最大化期望收益灵活做出最优决策,策略选择具有更好的弹性。无论在何种进化博弈场景下,只要将非政府组织和公众的参与水平维持在一定阈值以上,并提高惩罚强度,都有利于博弈系统向正状态演化。分析过程和结论为政府设计互联网平台不公平竞争监管制度和框架提供了思路和指导。