Research on distribution strategy of logistics enterprise alliance based on three-party evolution game

Author:

Ran Wenxue,He Dandan,Li Zhaoxia,Xue Yun,He Zhenzhen,Basnayaka Gunarathnage Aravinda Dananjaya Basnayaka

Abstract

AbstractCurrently, collaborative distribution models have not reached the optimal state of carbon emissions. The cost of additional low-carbon expenditures and the problem of carbon data verification have led to the lack of motivation for reducing emissions among collaborative distribution enterprises. Therefore, how to incentivize them to adopt the low-carbon model is crucial for achieving low-carbon goal. By relying on a government-led digital platform, this paper designs a dual low-carbon incentive strategy to encourage enterprise-alliance to adopt a low-carbon distribution model. In this paper, we first construct an evolutionary game model of the government, enterprise-alliance and end-users; then we explore the conditions of the three-party equilibrium evolution strategy by solving the model and analyzing the stability; and finally, we conduct simulation validation and results analysis with the help of MATLAB. In summary, we found that government punishment is more effective at regulating enterprise-alliance than reward. End-users’ behavior is affected by the costs they need to bear, and they no longer support enterprise-alliance to carry out collaborative low-carbon distribution above a certain threshold.

Publisher

Springer Science and Business Media LLC

Reference49 articles.

1. Liu, X. Supply Chain Carbon Emission Reduction Decision-Making with Consumer Low-Carbon Preference and Financing Dual Constraints (Hunan University, 2018).

2. Meisheng, K. & Liangtao, Y. Research on the impact of logistics enterprise alliance network and resource integration on service performance. R. Enterprise Econ. 19, 104–107 (2023).

3. Zhang, X., Chen, C. & Zhang, X. How 3PL and 4PL build agile logistics service alliance. Sci. Technol. Manag. 12, 105–107 (2003).

4. Weizhen, R. et al. Research on effective methods of collaborative distribution cost sharing relying on platforms. J. Manag. Sci. 24(09), 105–126. https://doi.org/10.19920/j.cnki.jmsc.2021.09.006 (2021).

5. Yuan, Y. et al. Research on the interaction influence mechanism of urban traffic congestion and air pollution—Based on the big data analysis of drip travel. J. Manag. Sci. 23(02), 54–73 (2020).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3