A dynamic game approach to demand disruptions of green supply chain with government intervention (case study: automotive supply chain)

Zaefarian, Tahereh; Fander, Atieh; Yaghoubi, Saeed

doi:10.1007/s10479-023-05432-0

Cited by 10 publications

(2 citation statements)

References 54 publications

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“…The Implementation of green supply chain management is a multi-party interactive negotiation, common cooperation, and multi-governance situation, so to achieve the ideal effect of equilibrium of all parties, game theory is now more widely used in the study of green supply chain management. Most of the studies related to green supply chain management utilizing the game method have been conducted by manufacturers, suppliers, retailers, and other enterprises (Zaefarian, T., 2023) (Sarkar, B., 2023) (Hu, H., 2022) [12][13][14]. Within them, the core of the research mainly centers on the optimal pricing of green products, which focuses on how to determine the optimal consumer price and the optimal level of investment in pollution reduction or green operations (Agi, M.A.N., 2021) [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Qi,

Guo,

Guan

et al. 2024

Sustainability

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The continuous deterioration of the ecological environment and the increasing scarcity of resources have posed a serious challenge to the survival and development of human beings, and the implementation of green supply chain management (GSCM) in this context is an effective means to ensure the sustainable development of society and the economy. In order to seek the optimal strategy of evolutionary game in the implementation of green supply chain management and explore the influence of environmental regulation intensity and public preference degree on the evolution process of green supply chain management diffusion development, this paper takes the study of green supply chain management diffusion as the core innovation point, and under the premise of environmental regulation, selects the government, the core enterprise, and the public as the participating bodies of green supply chain management diffusion, and uses the theory of evolutionary game to construct a diffusion model of green supply chain management. Using evolutionary game theory to construct a diffusion model, and with the help of MATLAB and other mathematical tools for numerical simulation analysis, we discuss the diffusion of the green supply chain and derive the optimal combination strategy. The results of the study show that: (1) there are four evolutionary stable states in the process of green supply chain management diffusion: preliminary diffusion, extinction, semi-diffusion, and full diffusion; (2) it will be beneficial for the government to promote the evolutionary diffusion of green supply chain management by implementing a higher intensity of pollution tax policy while implementing green supply chain incentive strategies; (3) the government, while implementing environmental regulation policies, should also pay attention to the guidance of the public’s awareness of environmental friendliness and greenness, and focus on the role of the comprehensive strategy selection of the three parties of the game in reaching the optimal state. The conclusions of the study provide theoretical guidance and decision support for the implementation and diffusion of green supply chain management under environmental regulation.

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Section: Literature Reviewmentioning

confidence: 99%

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Qi,

Guo,

Guan

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…Second, our research also contributes to the agrifood value chain collaboration literature by applying a new research method-dynamic differential games-to study collaboration among agrifood value chain participants. This approach has been widely used by researchers in the fields of engineering, political science, and marketing to analyze decision-making processes involving multiple players and unfold over time [25][26][27][28][29][30][31][32][33]. But we are not aware of any previous studies in the agrifood value chain collaboration literature that have applied the dynamic differential game approach.…”

Section: Introductionmentioning

confidence: 99%

Emissions reduction strategy in a three-stage agrifood value chain: A dynamic differential game approach

Wang,

Fan,

Zhao

et al. 2023

PLoS ONE

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Agrifood systems account for 31% of global greenhouse gas emissions. Substantial emissions reduction in agrifood systems is critical to achieving the temperature goal set by the Paris Agreement. A key challenge in reducing GHG emissions in the agrifood value chain is the imbalanced allocation of benefits and costs associated with emissions reduction among agrifood value chain participants. However, only a few studies have examined agrifood emissions reduction from a value chain perspective, especially using dynamic methods to investigate participants’ long-term emissions reduction strategies. This paper helps fill this gap in the existing literature by examining the impact of collaborations among agrifood value chain participants on correcting those misallocations and reducing emissions in agrifood systems. We develop a dynamic differential game model to examine participants’ long-term emissions reduction strategies in a three-stage agrifood value chain. We use the Hamilton-Jacobi-Bellman equation to derive the Nash equilibrium emissions reduction strategies under non-cooperative, cost-sharing, and cooperative mechanisms. We then conduct numerical analysis and sensitivity analysis to validate our model. Our results show that collaboration among value chain participants leads to higher emissions reduction efforts and profits for the entire value chain. Specifically, based on our numerical results, the cooperative mechanism results in the greatest emissions reduction effort by the three participants, which leads to a total that is nearly three times higher than that of the non-cooperative mechanism and close to two times higher than the cost-sharing mechanism. The cooperative mechanism also recorded the highest profits for the entire value chain, surpassing the non-cooperative and cost-sharing mechanisms by around 37% and 16%, respectively. Our results provide valuable insights for policymakers and agrifood industry stakeholders to develop strategies and policies encouraging emissions reduction collaborations in the agrifood value chain and reduce emissions in the agrifood systems.

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Pricing and green investment strategies for electric vehicle supply chain in a competitive market under different channel leadership

et al. 2023

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A dynamic game approach to demand disruptions of green supply chain with government intervention (case study: automotive supply chain)

Cited by 10 publications

References 54 publications

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Evolutionary Game Analysis of Green Supply Chain Management Diffusion under Environmental Regulation

Emissions reduction strategy in a three-stage agrifood value chain: A dynamic differential game approach

Pricing and green investment strategies for electric vehicle supply chain in a competitive market under different channel leadership

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