Issue |
E3S Web Conf.
Volume 275, 2021
2021 International Conference on Economic Innovation and Low-carbon Development (EILCD 2021)
|
|
---|---|---|
Article Number | 01016 | |
Number of page(s) | 7 | |
Section | Energy Application and Ecological Resource Sustainability | |
DOI | https://doi.org/10.1051/e3sconf/202127501016 | |
Published online | 21 June 2021 |
Research on subsidy mechanism in the government-led agricultural supply chain finance
1
School of Business Administration, Zhejiang Gongshang University Hangzhou, China
2
School of Business Administration, Zhejiang Gongshang University Hangzhou, China
* Corresponding author: 1556413172@qq.com
The problem of difficult and expensive financing of credit funds restricts the development of agriculture in our country. The government adopts different measures to support and guide the sustainable development of agriculture, there are typical loan interest subsidy mechanism. Under the background of agricultural output is uncertain, a supply chain system composed of farmer, company, bank and the government has been established, it discusses the government subsidy for agricultural supply chain operation and the influence of the members of the decision-making, explores the differences between two kinds of mechanism and provides suggestions for the decision of the supply chain members. Studies have shown that in the context of government subsidy, when the random output factor is higher and the loan interest rate is lower, the higher the loan interest subsidy rate, the higher the profit and social welfare of farmer, company, and bank. When the bank interest rate is higher than a certain value, the government subsidy can increase the profits of farmer and bank. Finally, numerical simulation found that in the context of government subsidy, government subsidy reduces the financing cost of farmer, but the real beneficiary is bank.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.