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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

To adopt the blockchain-based automobile traceability system (BCATS) and increase the transparency of the Chinese auto market, this study constructs a tripartite evolutionary game model of manufacturers, regulators, and consumers, discusses the evolutionary stabilization strategy (ESS) under different cases, and analyzes the influencing factors on the tripartite ESS through numerical simulation. The study finds that there exists an ESS of blockchain adoption and tripartite cooperation, and it is influenced by different factors including blockchain construction cost, traceability service price, and government subsidy. Lowering the blockchain construction cost, and increasing the traceability service price and government subsidy can all have a positive impact on accomplishing the ideal ESS, but the latter two can also have a negative impact when they are beyond the scope of effectiveness. The study results provide practical recommendations for adopting blockchain in the auto traceability, which can help to promote blockchain in the Chinese auto market.

Details

Title
Research on Evolutionary Game of Adopting Blockchain-Based Automotive Traceability
Author
Tang, Xiaoyu 1 ; Li, Shouwei 2   VIAFID ORCID Logo  ; Li, Jingwei 3 ; Zhang, Yonghong 1 

 School of Cyber Science and Engineering, Southeast University, Nanjing 211189, China 
 School of Economics and Management, Southeast University, Nanjing 211189, China; Research and Development Center for System and Information Engineering, Southeast University, Nanjing 211189, China 
 School of Economics and Management, Southeast University, Nanjing 211189, China 
First page
796
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20782489
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3149643590
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.