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The Operation Mode of Agricultural Supply Chain Finance Using Blockchain.

Authors :
Wang, Ying
You, Jing
Source :
Computational Intelligence & Neuroscience; 9/22/2022, p1-11, 11p
Publication Year :
2022

Abstract

With the rapid development of agriculture, modern agriculture has achieved remarkable results. Agriculture is the foundation of China's national economy, and the Party Central Committee has always insisted on solving the "three rural issues" as the top priority of the work of the whole party. However, China's agricultural foundation is weak, and the problem of unbalanced supply and demand structure of agricultural products still exists in agricultural development. With the development of blockchain, the application basis in the agricultural value chain has been established. At present, the research on the application of agricultural value chain financing is still in progress, but it is still in the initial stage. The integration of agricultural finance blockchain is low, and there are a series of problems. Extending blockchain technology to the financial area of agricultural value chains can help overcome the information barriers to traditional agricultural value chain financing and improve access to information resources for traditional agricultural value chains. The high cost of these value chains and inadequate financial management mechanisms remove bottlenecks in financing agricultural development. In this paper, we study the operation model and revenue distribution model of agricultural value chains using blockchain, analyze examples, and finally identify the basic elements of agricultural value chain financing based on sectoral chain technology. It provides theoretical support for the financing decision and production decision of each member of the agricultural supply chain, and it is hoped that the content and conclusions of the study can provide methodological reference and theoretical guidance for agricultural supply chain enterprises. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16875265
Database :
Complementary Index
Journal :
Computational Intelligence & Neuroscience
Publication Type :
Academic Journal
Accession number :
159271085
Full Text :
https://doi.org/10.1155/2022/3338030