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

2021 ◽  
Vol 235 ◽  
pp. 03065
Author(s):  
Zhang Chen ◽  
Li Hui

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.

2021 ◽  
Vol 275 ◽  
pp. 01061
Author(s):  
Zeping Tong ◽  
Shuo Yang

Agriculture is a basic industry that supports the construction and development of the national economy and plays an important role in promoting rural revitalization. And in the current post-COVID-19 era, agricultural SMEs have difficulty in obtaining the favours of financial institutions in normal lending due to their weak credit guarantee capabilities and high credit management costs. Difficulty in financing has become a bottleneck problem that plagues the development of enterprises and restricts the development of agricultural modernization. How to evaluate and control its credit risk is not only a major way to solve the financing difficulties of agricultural SMEs, but also the basis for the stable development of supply chain financial services. This paper analyzes three typical financing modes of agricultural SMEs from the perspective of supply chain finance, and takes the agricultural SMEs in the New OTC Market as an example to construct a Logistic model, and uses factor analysis to effectively predict the credit risk of supply chain finance. The results show that the operational efficiency factors, growth factors and related core corporate profitability of agricultural SMEs financing enterprises significantly affect their credit risk. After testing, the model is highly accurate in predicting the financing risks of agricultural SMEs.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Yan Hong

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.


Author(s):  
Shanliang Li ◽  
Shan Yan ◽  
Liwen Liu

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.


2014 ◽  
Vol 496-500 ◽  
pp. 2827-2831
Author(s):  
Guo Fang Qiu ◽  
Yun Zhang ◽  
Chong Wang

From the perspective of commercial banks, put the financial supply chain in the principal-agent relationship which is multi-agent and of multiple sections. This paper analyzed the principal-agent relationship between different subjects and commercial banks and information asymmetry. Secondly it also analyzes the information risk of supply chain finance caused by asymmetric information from in three aspects as risk types, risk behavior and risk loss. Finally it gives the Suggestions and countermeasures aimed to financial risk in supply chain information. It provides reference to main body understanding and the information risk of supply chain finance.


2021 ◽  
Vol 22 (8) ◽  
pp. 233-243
Author(s):  
Zhi-Run Li ◽  
Wen Ju ◽  
Sung-Chan Kim ◽  
Shi-Yong Piao ◽  
Shuang-Yu Hu ◽  
...  

2021 ◽  
Vol 4 (3) ◽  
pp. 6-13
Author(s):  
Leilei Zhang ◽  
Honglian Guo

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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