Abstract
Circular economy is distinct from the linear economy model in the past. Circular economy emphasizes regeneration instead of possession of resource, and proposes using shared resources to create new supply chains and new economies. When practicing circular economy, prior to collaboration, each economic entity must learn of each other’s credit rating. This study applies the blockchain technology to establish each economic entity’s transaction details, and then employs confidence level algorithms to calculate each entity’s credit rating; the method utilizes the concept of decentralization to reduce third-party broker fees, which, aside from decreasing transaction costs, provides effective credit rating of public economic entities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Li, X., Wang, C.A.: The technology and economic determinants of cryptocurrency exchange rates: the case of Bitcoin. Decis. Support Syst. 95, 49–60 (2017)
Tschorsch, F., Scheuermann, B.: Bitcoin and beyond: a technical survey on decentralized digital currencies. IEEE Commun. Surv. Tutor. 18(3), 2084–2123 (2016)
Vranken, H.: Sustainability of bitcoin and blockchains. Sustain. Gov. Transform. 28, 1–9 (2017)
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules in large databases. In: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB, Santiago, Chile, pp. 487–499 (1994)
Wang, Y., Liang, B.: Efficiency evaluation of city circular economy based on the super-efficient mixed DEA cluster model. In: Proceedings of the 2010 International Conference on Management and Service Science (2010)
Petrie, C.: Emergent Collectives Redux: The Sharing Economy. IEEE Computer Society 20(4), 84–86 (2016)
García, J.M., Fernández, P., Ruiz-Cortés, A., Dustdar, S., Toro, M.: Edge and cloud pricing for the sharing economy. IEEE Internet Comput. 21(2), 78–84 (2017)
Viardot, E.: Trust and standardization in the adoption of innovation. IEEE Commun. Stand. Mag. 1(1), 31–35 (2017)
Schlegel, R., Chow, C.-Y., Huang, Q., Wong, D.S.: Privacy-preserving location sharing services for social networks. IEEE Trans. Serv. Comput. 10(5), 811–825 (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Wu, HT., Su, YJ., Hu, WC. (2018). A Study on Blockchain-Based Circular Economy Credit Rating System. In: Peng, SL., Wang, SJ., Balas, V., Zhao, M. (eds) Security with Intelligent Computing and Big-data Services. SICBS 2017. Advances in Intelligent Systems and Computing, vol 733. Springer, Cham. https://doi.org/10.1007/978-3-319-76451-1_32
Download citation
DOI: https://doi.org/10.1007/978-3-319-76451-1_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-76450-4
Online ISBN: 978-3-319-76451-1
eBook Packages: EngineeringEngineering (R0)