Research on Collaborative Evolutionary Game Optimization and Sustainability Improvement of New Energy Vehicle Supply Chain Information Driven by Blockchain Trustworthiness Traceability

Haiwei Gao, Xiaomin Zhu, Binghui Guo, Xiaobo Yang () and Xiaohan Yu
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Haiwei Gao: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Xiaomin Zhu: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China
Binghui Guo: LMIB, School of Artificial Intelligence, Beihang University, Beijing 100191, China
Xiaobo Yang: School of Food and Health, Beijing Technology and Business University, Beijing 100048, China
Xiaohan Yu: School of Mechanical, Electronic and Control Engineering, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2025, vol. 17, issue 6, 1-40

Abstract: As the core carrier of the low-carbon transportation transformation, the sustainable optimization of the supply chain of new energy vehicles is crucial to reduce carbon emissions throughout the life cycle and improve resource utilization efficiency. However, the current problems, such as resource waste, duplicate production, and low logistics efficiency caused by insufficient supply chain information coordination, have become bottlenecks restricting the green development of the industry. A large number of studies have shown that information collaboration plays a key role in reducing risks and costs, improving quality and innovation capabilities, adaptability, performance, and supply chain competitiveness in the new energy vehicle supply chain. Although the advantages of supply chain information collaboration are widely known, supply chain information collaboration has not been widely adopted in actual operation, and there are almost no studies on the lack of adoption or the restriction of the development of supply chain information collaboration. Based on the research methods of the modified Delphi technique and analytic hierarchy process (AHP), this paper finds that the lack of information quality, information security, and information collaboration motivation are important factors restricting the collaborative development of information in the new energy vehicle supply chain. Furthermore, an optimization model of the new energy vehicle supply chain information co-evolution game combined with traceability and blockchain technology is proposed, and it is found that the evolutionary game model that solves the stability of information quality and information security has a significant effect on the information collaborative optimization of the new energy vehicle supply chain. This study proposes an information co-evolution game model combined with blockchain traceability technology, which can improve the level of information collaboration in the supply chain of new energy vehicles, significantly reduce the “bullwhip effect” and redundant inventory in the supply chain, reduce energy waste and carbon emissions caused by information asymmetry, and improve the overall energy efficiency of the supply chain, so as to provide theoretical support for the sustainable and green supply chain transformation of the new energy vehicle industry.

Keywords: new energy vehicles; sustainability; supply chain optimization; information collaboration; evolutionary game; blockchain; information traceability; green supply chain (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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