Credit Risk Assessment of Green Supply Chain Finance for SMEs Based on Multi-Source Information Fusion
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- Menglin Yin & Gushuo Li & Naeem Jan, 2022. "Supply Chain Financial Default Risk Early Warning System Based on Particle Swarm Optimization Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-7, April.
- Zhichao Luo & Pingyu Hsu & Ni Xu, 2020. "SME Default Prediction Framework with the Effective Use of External Public Credit Data," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
- Huang, Jing & Yang, Wensheng & Tu, Yiliu, 2020. "Financing mode decision in a supply chain with financial constraint," International Journal of Production Economics, Elsevier, vol. 220(C).
- Yubin Yang & Xuejian Chu & Ruiqi Pang & Feng Liu & Peifang Yang, 2021. "Identifying and Predicting the Credit Risk of Small and Medium-Sized Enterprises in Sustainable Supply Chain Finance: Evidence from China," Sustainability, MDPI, vol. 13(10), pages 1-19, May.
- Yixuan Li & Charalampos Stasinakis & Wee Meng Yeo, 2022. "A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance," Forecasting, MDPI, vol. 4(1), pages 1-24, January.
- Lv, Chengchao & Bian, Baocheng & Lee, Chien-Chiang & He, Zhiwen, 2021. "Regional gap and the trend of green finance development in China," Energy Economics, Elsevier, vol. 102(C).
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Keywords
green supply chain finance; multi-source information fusion; credit risks; optimized random forest; small- and medium-sized enterprises;All these keywords.
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