skip to main content
10.1145/3390566.3391683acmotherconferencesArticle/Chapter ViewAbstractPublication PagesicbctConference Proceedingsconference-collections
research-article

Can the Issue of Invoice Reimbursement in China be Solved Completely through the Integration of Blockchain and IoT Technology?

Published: 29 May 2020 Publication History

Abstract

In order to achieve the automatic and non-inductive reimbursement of invoices and eliminate the various inconveniences as well as risks caused by artificial reimbursement, this paper creatively combines blockchain technology with electronic invoices. This system realizes interactive flows of paperless invoice for each node from consumption, reimbursement to tax payment through the blockchain network system. Based on the Internet of things technology, the off-chain data can be automatically processed and connected to the on-chain seamlessly. Meanwhile, using a dual-chain structure ensures the subsequent identification and business separation. Through the combination of theory and technical framework, the non-inductive invoice reimbursement system is constructed to reduce the overall reimbursement costs and promoting the improvement of the taxation system in China.

References

[1]
Li R. 2019. The Practice of Blockchain Electronic Invoices. China Taxation, (6), 38.
[2]
Ni B. 2015. Comparison of Chinese and American Tax Systems. Education and Teaching Forum, (46), 58--59.
[3]
Li Z. 2018. Research on the construction of blockchain-based electronic invoice cloud platform (Master's thesis, Chinese Academy of Finance Sciences).
[4]
State Administration of Taxation. 2015. State Administration of Taxation Announcement No. 84 of 2015 (2015-11-26). Http://www.chinatax.gov.cn/n810341/n810755/cl919901/content.html
[5]
Liu F. 2018. Blockchain Heat and Enterprise Opportunities. Enterprise Management, 6, 15--17.
[6]
Dong J, & Gao Hang. 2019. Application of Blockchain Invoice Ecological Chain. Journal of Hebei University of Economics and Trade (Comprehensive Edition), (2), 9.
[7]
Cai Lei. Upgrading Electronic Invoice Management with Blockchain Technology [N]. China Business News, 2018-08-14 (006).
[8]
Liu F, Wang M, Tang J, et al. Research on Home-Based Pension System Based on Blockchain Technology[J]. 2019.
[9]
Michał R. Hoffman. 2018. Can Blockchains and Linked Data Advance Taxation?. In WWW '18 Companion: The 2018 Web Conference Companion, April 23-27, 2018, Lyon, France. ACM, New York, NY, USA, 4 pages. https://doi.org/10.1145/3184558.3191555.

Index Terms

  1. Can the Issue of Invoice Reimbursement in China be Solved Completely through the Integration of Blockchain and IoT Technology?

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      ICBCT '20: Proceedings of the 2020 2nd International Conference on Blockchain Technology
      March 2020
      166 pages
      ISBN:9781450377676
      DOI:10.1145/3390566
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      In-Cooperation

      • Shanghai Jiao Tong University: Shanghai Jiao Tong University
      • Huazhong University of Science and Technology

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 29 May 2020

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Blockchain
      2. Invoice
      3. No reimbursement
      4. Taxation system
      5. The Internet of Things

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      ICBCT'20

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 128
        Total Downloads
      • Downloads (Last 12 months)3
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 08 Mar 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media