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分享经济环境下制造业产能分享的三群体演化博弈分析 被引量:11

Tripartite-players Evolutionary Game Analysis of the Manufacturing Capacity Sharing in the Environment of Sharing Economy
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摘要 制造业产能分享的兴起,改变了传统的制造模式,打破了原有制造业系统的平衡。为研究制造业产能分享参与群体的决策行为,在产能分享平台具有网络外部性、制造企业具有接入成本且博弈群体均具有有限理性的假设条件下,构建了“产能分享平台-制造业产能所有企业-制造业产能需求企业”三个博弈群体的演化博弈模型。运用演化博弈理论分析了模型的演化稳定策略,探讨了制造企业接入成本、产能分享平台的网络外部性系数等对此动态系统稳定性的影响,给出了演化稳定策略的经济和管理意义。最后,用数值仿真对比分析不同参数变化对演化结果的影响,为产能分享平台和制造企业的行为决策提供理论参考依据。 With the arising of manufacturing capacity sharing,the traditional manufacturing mode is changed and the balance of the original manufacturing system is broken.In order to study the decision-making behavior of manufacturing capacity sharing participants,an evolutionary game model composed of three game players of“capacity sharing platforms——enterprises with manufacturing capacity——enterprises demanding manufacturing capacity”is established based on the assumptions of the network externality of capacity sharing platforms,accessing cost ofmanufacturing enterprise and bounded rationality.And the evolutionary stability strategy of the modelis analyzed by theevolutionary game theory.The influence of the access cost of manufacturing enterprises and the network externality coefficient of the capacity sharing platforms on the stability of the dynamic system is discussed;and the economic and management significance of evolutionary stability strategy is given.Finally,a contrastive analysis of evolutionaryresults affected by diverse parametric variations is performed by numerical simulation.This paper provides a theoretical reference for capacity sharing platforms and the behavior decision of manufacturing enterprises.
作者 郝家芹 赵道致 HAO Jia-qin;ZHAO Dao-zhi(College of Management and Economics, Tianjin University, Tianjin 300072, China)
出处 《运筹与管理》 CSSCI CSCD 北大核心 2021年第2期1-7,共7页 Operations Research and Management Science
基金 国家自然科学基金面上项目(71472134,72072125) 天津大学自主创新基金项目(2019XSC-0008)。
关键词 分享经济 制造业产能分享 三群体演化博弈 演化稳定策略 sharing economy manufacturing capacity sharing tripartite-players evolutionary game evolutionary stability strategy
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