Credit rating of sustainable agricultural supply chain finance by integrating heterogeneous evaluation information and misclassification risk

The grain supply chain not only broadens the financing channels for small and medium-sized enterprises in the supply chain and strengthens the cohesion of the supply chain but also opens up new business models and sources of profit for commercial banks. This article aims to study the use of advanced information technologies such as mobile Internet, Internet of Things (IoT) transmission, BT, and other advanced information technologies to design intelligent grain depot integrated systems based on the IoT technology, in accordance with the principles of practicality and advancement, to realize the informatization of the daily management of the grain depot and provide construction experience for the informatization construction of the food industry. This article proposes a detailed summary of several models of agricultural supply chain finance from the perspective of supply chain management and analyzes the applicable conditions and basic processes of these models. It also analyzes the structure of the agricultural supply chain through typical cases, introduces the operation of supply chain finance, and evaluates and analyzes its effectiveness and problems. The experimental results in this paper show that, compared with other storage methods, this solution has obvious advantages in data query efficiency and data storage cost. Without a central server, the entire distributed system will have a certain degree of efficiency, reliability, and cost-effectiveness. When the amount of grain data reaches 100,000, 1 million, and 10 million, the system data integrity check time is 0.0263 seconds, 0.3251 seconds, and 1.5032 seconds, respectively. The program seems very useful.

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Supply Chain Finance for Targeted Poverty Alleviation: A Case Study of Suning

Frontiers in Artificial Intelligence and Applications - Modern Management based on Big Data I ◽

10.3233/faia200647 ◽

2020 ◽

Author(s):

Shanliang Li ◽

Shan Yan ◽

Liwen Liu

Keyword(s):

Big Data ◽

Supply Chain ◽

Traffic Control ◽

Poverty Alleviation ◽

Economic Benefits ◽

Agricultural Product ◽

Financial Measures ◽

Supply Chain Finance ◽

Agricultural Supply

The sudden emergence of ‘COVID-19’ in 2020 has tightened traffic control in various places, which has posed a huge challenge to the agricultural product supply chain. This research introduces the perspective of supply chain finance, uses in-depth case study methods, and takes Suning’s agricultural supply chain finance as an example to discuss how e-commerce companies relying on big data adopt agricultural supply chain finance practices to promote accurate poverty alleviation. By analyzing Suning’s four agricultural supply chain financial operation models, we find that the internal and external stakeholders of the enterprise are the driving factors for enterprises to adopt agricultural supply chain finance, and the adoption of agricultural supply chain finance measures has brought economic benefits and social benefits to enterprises benefit. Advanced big data tools, fintech and cooperation with other partners are necessary to adopt agricultural supply chain financial measures.

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Research On The Identification And Evaluation Of Supply Chain Finance Credit Risk

E3S Web of Conferences ◽

10.1051/e3sconf/202127501069 ◽

2021 ◽

Vol 275 ◽

pp. 01069

Author(s):

Yinuo Liu

Keyword(s):

Supply Chain ◽

Credit Risk ◽

Financial Institutions ◽

Credit Rating ◽

Regulatory System ◽

Good News ◽

Credit Risks ◽

Supply Chain Finance ◽

Effective Manner ◽

Financial Credit

Narrow financing channels and high costs have gradually become the main factors restricting the development of small and medium-sized enterprises. The break of the capital chain will restrict the development of the overall supply chain. The emergence of supply chain finance has brought good news for solving the problem of limited capital of small and medium-sized enterprises. However, affected by many factors such as the imperfection of the existing regulatory system, the inefficiency of the credit rating work of financial institutions, and the low moral standards of supply chain member companies, financial institutions bear huge credit risks. Based on the current research of supply chain financial credit risk, this paper analyzes the causes and characteristics of supply chain financial credit risk, finds out the problems and their causes in the identification and evaluation of supply chain financial credit risk, and how to identify and effectively identify and analyze the supply chain financial credit risk in a more timely and effective manner. It is expected to provide reference for financial institutions to strengthen the financial credit risk management of supply chain.

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The Innovation and development of Rural Revitalization: Agricultural Supply Chain Finance

E3S Web of Conferences ◽

10.1051/e3sconf/202123503065 ◽

2021 ◽

Vol 235 ◽

pp. 03065

Author(s):

Zhang Chen ◽

Li Hui

Keyword(s):

Supply Chain ◽

Rural Areas ◽

Resource Sharing ◽

Main Body ◽

Role Of Government ◽

Rural Economic Development ◽

Supply Chain Finance ◽

Rural Revitalization ◽

System Resource ◽

Agricultural Supply

Agricultural supply chain finance provides a feasible supply channel for the fund demand in rural economic development, alleviates the financing difficulties of small and micro enterprises and farmers in rural areas. However, there are also problems such as low standardization of agricultural products, imperfect credit risk system and incomplete information system, which seriously hinder the implementation of Rural Revitalization strategy. Financial product innovation is put forward in this paper, giving play to the role of government-led, perfect the premium subsidy, guarantees subsidy policy, actively into more involved in the main body, using the emerging technology industrialization construction, building ecological system resource sharing, expand the scope of services, to better precision power financial poverty alleviation, finally realizes the Rural Revitalization strategy.

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Study on the Evaluation of Agricultural Supply Chain Finance Model: Focused on Jilin Province China

Journal of the Korea Academia-Industrial cooperation Society ◽

10.5762/kais.2021.22.8.233 ◽

2021 ◽

Vol 22 (8) ◽

pp. 233-243

Author(s):

Zhi-Run Li ◽

Wen Ju ◽

Sung-Chan Kim ◽

Shi-Yong Piao ◽

Shuang-Yu Hu ◽

...

Keyword(s):

Supply Chain ◽

Jilin Province ◽

Supply Chain Finance ◽

Finance Model ◽

Agricultural Supply

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Financial Coordination and Income Distribution of Agricultural Supply Chain

Proceedings of Business and Economic Studies ◽

10.26689/pbes.v4i3.2180 ◽

2021 ◽

Vol 4 (3) ◽

pp. 6-13

Author(s):

Leilei Zhang ◽

Honglian Guo

Keyword(s):

Supply Chain ◽

Income Distribution ◽

Rural Economy ◽

Rapid Development ◽

Economic Feasibility ◽

Distribution Model ◽

Agricultural Industry ◽

Coordination Model ◽

Supply Chain Finance ◽

Agricultural Supply

The agriculture field is a fundamental industry which supports the rapid development of the nation’s economy. However, credit constraints faced by farmers have restricted the modernization in the agricultural industry. The agricultural supply chain finance is effective in promoting rural industrial revitalization and agricultural modernization, which is of great significance to the transformation and development of rural economy and agriculture in China. In this paper, the financial coordination model in agricultural supply chain is constructed, and the income distribution model of Shapley value method is introduced. The results showed that the agricultural supply chain finance can significantly improve the income of the participants in the agricultural industrial chain and verify the economic feasibility of agricultural supply chain finance.

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