工业共生中学习战略合作行为:基于博弈论与智能体模拟的整合方法

Learning strategic cooperative behavior in industrial symbiosis: A game‐theoretic approach integrated with agent‐based simulation

BUSINESS STRATEGY AND THE ENVIRONMENT · 2020
被引 68
人大 A-ABS 3

中文导读

研究了工业共生中企业如何通过博弈学习分享额外成本的策略,发现长期采用公平策略更有利,有助于减少管理障碍、促进循环经济。

Abstract

Abstract This paper investigates the negotiation phase of industrial symbiosis relationships, where companies exchanging wastes for inputs need to develop strategies on how to share the additional costs to operate the industrial symbiosis business. The business behavior is approached as a “coopetition” problem where companies need to coop erate to reduce waste discharge costs and traditional input purchase costs and dive into comp etition to pay a minimum share of additional costs (i.e., waste treatment, waste transportation, and transaction costs) of operating industrial symbiosis. A noncooperative game‐theoretical model for sharing the additional costs is proposed that highlights the two strategies that companies can adopt aimed at sharing costs: a fair strategy and an opportunistic strategy. Then, an agent‐based model is used to simulate the game iterated over time and investigate how the players can adapt their strategies according to their past experience. Simulation results show that players learn that playing the fair strategy is beneficial in the long period, despite in the short period they can gain more benefit by playing the opportunistic strategy. Findings of the paper are critically important to reduce the business and managerial barriers against the formation of industrial symbiosis networks and to stimulate innovative thinking of company managers to foster the development of the circular economy. The paper proposes theoretical, managerial, and policy implications, which are discussed in detail in a comparative manner between linear and circular economy.

工业共生博弈论智能体模拟循环经济企业战略