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The Whole-Course Logistics Enterprise Credit Reference System Based on Blockchain Technology

In: Liss 2020

Author

Listed:
  • Yang Mao

    (Beijing Jiaotong University)

  • Minzhen Huang

    (China Academy of Railway Sciences)

  • Shifeng Liu

    (Beijing Jiaotong University)

  • Yi Song

    (Beijing Jiaotong University)

  • Guohua Li

    (China Academy of Railway Sciences)

  • Jingya Liu

    (Beijing Jiaotong University)

Abstract

In order to solve the problem of credit information asymmetry between whole-course logistics enterprises, this paper proposes a credit reference system structure based on the blockchain technology and expounds the application processes of data collection, credit modeling scoring and credit score sharing by blockchain technology. Based on the data of A-share listed logistic companies in China from 2011 to 2019, this paper empirically examines the scoring model and discusses the advantages of blockchain application in the logistics credit industry in the era of big data: dynamic update and traceability of credit data, promoting credit data sharing, ensuring the privacy of information subjects and unifying industry credit evaluation standards.

Suggested Citation

  • Yang Mao & Minzhen Huang & Shifeng Liu & Yi Song & Guohua Li & Jingya Liu, 2021. "The Whole-Course Logistics Enterprise Credit Reference System Based on Blockchain Technology," Springer Books, in: Shifeng Liu & Gábor Bohács & Xianliang Shi & Xiaopu Shang & Anqiang Huang (ed.), Liss 2020, pages 279-290, Springer.
    • Handle: RePEc:spr:sprchp:978-981-33-4359-7_20
    DOI: 10.1007/978-981-33-4359-7_20
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