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中国推广循环物流包装的困境分析:基于随机进化博弈的方法。

Analysis of the Dilemma of Promoting Circular Logistics Packaging in China: A Stochastic Evolutionary Game-Based Approach.

机构信息

Faculty of Transportation Engineering, Kunming University of Science and Technology, 727 Jingming South Road, Kunming 650500, China.

出版信息

Int J Environ Res Public Health. 2022 Jun 15;19(12):7363. doi: 10.3390/ijerph19127363.

Abstract

The environmental pollution caused by logistics packaging in China has attracted increasing attention in recent years, and circular packaging is considered an effective means to solve the aforementioned problem. Therefore, this study considers the uncertainty of the external environment; constructs a stochastic game model of circular logistics-packaging promotion, which consists of environmental regulators, logistics enterprises, and consumers; collects data related to logistics packaging in China to describe the current circular-packaging promotion dilemma; and conducts a parameter-sensitivity analysis. The results show that (1) after a short period of fluctuation, the environmental regulator will lock in the "strong regulation" strategy, whereas logistics enterprises and consumers will quickly lock in the "no promotion" and "negative use" strategies. (2) The change in the initial probability will affect the rate of strategy evolution of the gaming system. (3) The "strong regulatory" strategy of environmental regulators and the increase in the number of circular-packaging cycles can help establish a logistics-recycling-packaging system. (4) The increase in recycling incentives can cause consumers to shift toward "active use" strategies, but this has accelerated the rate at which logistics companies lock into "no promotion" strategies. (5) The increase in the intensity of random interference will raise the fluctuation of the evolution of the game subject. For logistics enterprises, moderate random interference helps them evolve toward the "promotion" strategy.

摘要

近年来,中国物流包装造成的环境污染受到越来越多的关注,而循环包装被认为是解决上述问题的有效手段。因此,本研究考虑了外部环境的不确定性;构建了一个由环境监管者、物流企业和消费者组成的循环物流包装推广的随机博弈模型;收集了中国物流包装相关数据,描述了当前循环包装推广的困境;并进行了参数敏感性分析。结果表明:(1)在短暂波动后,环境监管者将锁定“强监管”策略,而物流企业和消费者将迅速锁定“不推广”和“消极使用”策略。(2)初始概率的变化将影响博弈系统策略演化的速度。(3)环境监管者的“强监管”策略和循环包装周期数的增加有助于建立物流回收包装系统。(4)回收激励的增加会促使消费者转向“积极使用”策略,但这加速了物流企业锁定“不推广”策略的速度。(5)随机干扰强度的增加会增加博弈主体演化的波动。对于物流企业而言,适度的随机干扰有助于它们向“推广”策略演化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f45/9224497/ac7927844edf/ijerph-19-07363-g001.jpg

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