scholarly journals Supply Chain Finance and Financing Constraints on SMEs—An Empirical Analysis of Software Company

2020 ◽  
Vol 6 (2) ◽  
pp. p1
Author(s):  
Zhou Shihuai ◽  
Tianjiao Hu ◽  
Jun Chen ◽  
Xi Zhou
Keyword(s):  
Supply Chain ◽  
Empirical Analysis ◽  
Cash Flow ◽  
Software Industry ◽  
Third Party ◽  
Third Party Logistics ◽  
Flow Sensitivity ◽  
Software Company ◽  
Supply Chain Finance ◽  
Cash Flow Sensitivity

With the perspective of small and medium-sized enterprises in China, it has trouble getting financing. Based on cash - cash flow sensitivity model, this paper figures out the existence of financial constraints on SMEs in software industry and supply chain finance’s effect on it. The cash flow sensitivity of cash and supply chain finance’s effectiveness are evaluated using a large sample of listed companies on the SME boardfrom2008 to 2018. Through empirical analysis and robustness checks, it is concluded that SMEs in software industry have financing difficulties and supply chain finance can alleviate this financial dilemma to some extent. Furthermore, the essay analyzes risk points of three different forms of supply chain finance and puts forward some suggestions about risk management for small and medium-sized enterprises, bank and third-party logistics.

scholarly journals Measuring Risks of Confirming Warehouse Financing from the Third Party Logistics Perspective

2019 ◽  
Vol 11 (23) ◽  
pp. 6573 ◽  
Author(s):  
Zhixin Wang ◽  
Yue Wang
Keyword(s):  
Supply Chain ◽  
Index System ◽  
Indicator System ◽  
Risk Measurement ◽  
Third Party ◽  
Third Party Logistics ◽  
Prediction Ability ◽  
Supply Chain Finance ◽  
Measurement Index System ◽  
Measurement Index

Confirmation warehouse financing is an important model in supply chain finance. This type of financing has special characteristics due to the existence of the reverse repurchase link, and it increases the risk commitment of the core enterprise at a certain level. Previous research on supply chain financial risk mostly settled in ‘all-industry, multi-model’, ignoring the special risks of single mode. To supplement the vacancies in the current research, the special risks of supply chain finance should be identified under a single model. On this basis, a measurement index system for confirmation warehouse financing risk is created. The article uses a Back Propagation (BP) neural network to build a Third Party Logistics (3PL) perspective of the risk measurement model for confirmation warehouse financing. The said network is combined with the 24 sets of actual cases from ZY Logistics. MATLAB is used to train the sample data. Results show that the absolute errors—0.042998, −0.011102, 0.020514 and 0.039448—between the training value and the predicted value are smaller than the preset error value. Among the 24 cases, high-risk businesses reached 41.7%, whereas low-risk businesses only accounted for 29.2%. The ZY enterprise confirms that warehouse financial business risk is high, and this situation should be revised. Research shows that the risk measurement indicator system has good risk prediction ability. This study establishes and verifies the rationality of the risk measurement index system and provides a reliable reference for 3PL risk aversion in supply chain finance.

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