Predicting China’s SME Credit Risk in Supply Chain Financing by Logistic Regression, Artificial Neural Network and Hybrid Models
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More about this item
Keywordssupply chain financing (SCF); credit risk; small and medium-sized enterprises (SMEs); core enterprises (CEs); financial institutions (FIs); logistic regression (LR); artificial neural network (ANN); two-stage hybrid model;
- Q - Agricultural and Natural Resource Economics; Environmental and Ecological Economics
- Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
- Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
- Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
- Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics
- Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
- O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
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