Construction and Empirical Research of a Blockchain Based Financial Risk Control Model for Coal Supply Chain
Author: 
Xianao ShiAuthors Info & Claims
Pages 54 - 59
Abstract
Coal is the most abundant and widely distributed fossil fuel on Earth. Its demand growth rate has continued to slow down in recent years, and the total demand is still increasing. The coal supply chain finance faces problems such as information asymmetry and difficulty in risk control, which seriously restrict the healthy development of the coal industry. Blockchain records transaction records and related information in a chain composed of multiple nodes. Each node has the right to participate in verifying and recording transactions, ensuring the security and transparency of data. Financial risk control is an important link in the coal supply chain. Coal trading finance is the core part of the industry, and this article aims to effectively conduct financial analysis and control to maintain the stable operation of the supply chain. This article mainly uses experimental testing, investigation, and weight analysis to compare the performance of risk control models. The risk control model has a numerical value of 88% in terms of stability and reliability.
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Index Terms
- Construction and Empirical Research of a Blockchain Based Financial Risk Control Model for Coal Supply Chain
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Published In
May 2024
514 pages
ISBN:9798400709838
DOI:10.1145/3677892
Copyright © 2024 ACM.
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 the author(s) 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].
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Association for Computing Machinery
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Publication History
Published: 26 August 2024
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DSAI 2024
DSAI 2024: 2024 International Conference on Digital Society and Artificial Intelligence
May 24 - 26, 2024
Qingdao, China
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