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Academic Journal of Engineering and Technology Science, 2024, 7(2); doi: 10.25236/AJETS.2024.070212.

Research on Credit Risk Contagion in Energy Supply Chain Finance under the Constraint of "Double Carbon" Targets

Author(s)

Wu Hongxin, Guo Mingming

Corresponding Author:
Wu Hongxin
Affiliation(s)

Department of Management Science and Engineering, Hebei University of Engineering, Handan, 056038, China

Abstract

There is a correlation between the "double carbon" target constraint and the contagion effect of energy supply chain finance credit risk. In order to analyze the credit risk contagion characteristics of energy supply chain finance, the influence variables of technological innovation, environmental responsibility, information disclosure degree, business volume scale and credit risk intensity are introduced. Combining the virus transmission mechanism and Fourier heat conduction principle, we constructed the energy supply chain financial credit risk contagion model (SIS-HTM) to measure the state and degree of credit risk contagion, and studied the influencing factors and degree of credit risk contagion of energy supply chain financial credit risk under the goal of "dual-carbon". The study shows that the "dual-carbon" goal indirectly positively affects the credit risk intensity of energy supply chain finance, and the degree of information disclosure, technological innovation, and sense of environmental responsibility of energy enterprises are inversely proportional to their credit risk contagion intensity, while the scale of the business volume and credit risk intensity of energy enterprises are positively proportional to their credit risk contagion intensity.

Keywords

Energy supply chains; "dual-carbon" targets; financial credit risk contagion; heat transfer models; viral contagion models

Cite This Paper

Wu Hongxin, Guo Mingming. Research on Credit Risk Contagion in Energy Supply Chain Finance under the Constraint of "Double Carbon" Targets. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 2: 69-79. https://doi.org/10.25236/AJETS.2024.070212.

References

[1] Kun Wang, Hui Deng, Jiajia Yang, et al. A Transition Mechanism for the Participation of Renewable Energy Generation Companies in Competitive Electricity Spot Markets[J]. Frontiers in Energy Research, 2022, 10: 911872.

[2] Xia Yu, Fang Lei, Wei Mingman. Supply chain finance:Theoretical evolution and its internal logic[J]. Management Review, 2019, 31(12): 26-39.

[3] Han Hongxin, Xiao Xinyu, Du Jingshuo, et al. Research on cracking the development dilemma of small and medium-sized enterprises based on supply chain finance[J]. China Market, 2022, (03): 148-150.

[4] Zhang Cheng. Research on risk measurement and control of supply chain finance for small and medium-sized enterprises - based on system dynamics simulation model[J]. Journal of System Science, 2018, 26(03): 76-80.

[5] Weiming Mou, Wing-Keung Wong, Michael McAleer. financial credit risk evaluation based on core enterprise supply chains[J]. Sustainability, 2018, 10(10): 3699.

[6] Dong Ming. An integrated framework for modeling and analyzing distributed energy supply chain networks [J]. Journal of Shanghai Jiao Tong University, 2008, (11): 1772-1775.

[7] Mo Aoran. Dynamic optimization of energy supply chain in Beijing based on principal component analysis [D]. North China Electric Power University, 2013

[8] Tan Zhongfu, Liu Pingguo. Research on risk relationship and risk evaluation measurement of coal and power energy supply chain in China[J]. Industrial Technology and Economics, 2015, 34(01): 132-144.

[9] Yudong Wang, Zhuangyue Guo. the dynamic spillover between carbon and energy markets: new evidence[J]. Energy, 2018, 149: 24-33.

[10] Yiqun Ma, Junhao Wang. Time-varying spillovers and dependencies between iron ore, scrap steel, carbon emission, seaborne transportation, and China's steel stock prices[J]. Resources Policy, 2021, 74: 102254.

[11] Xu Gong, Rong Shi, Jun Xu, et al. Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective[J]. Applied Energy, 2021, 285: 116384.

[12] Zhang KQ. Risk evaluation and analysis of influencing factors in China's energy financial market--Monthly empirical results based on principal component analysis[J]. Times Economy and Trade, 2021, 18(09): 26-34.

[13] Wenjun Pan, Huida Zhao, Lin Miu. An Empirical Study on Supply Chain Risk Contagion Effect Based on VAR-GARCH (1, 1)-BEKK Model[J]. Wireless Personal Communications, 2019, 109: 761-775.

[14] Dingxiang Wang, Lepei He, Lingyi Li. Credit risk transmission mechanism in supply chain finance and its simulation [J]. Financial Forum, 2021, 26(09): 15-25.

[15] Li Zhanlei, Li Xuesen, Chen Li, et al. Research on default risk contagion of accounts receivable pledge financing in supply chain finance[J]. Friends of Accounting, 2021, (11): 68-76.

[16] Wentao Chen, Zhenlin Li, Zhuoxin Xiao. On Credit Risk Contagion of Supply Chain Finance under COVID-19[J]. Journal of Mathematics, 2021, 2021: 1-13.

[17] Chen Dongling. Research on the Influencing Factors of Credit Risk Diffusion in Supply Chain Finance under the Perspective of Complex Network [D]. Harbin Institute of Technology, 2019

[18] Zhang Shengzhong, Pang Chunyuan, Li Qian. Supply chain default risk contagion metric model [J]. Science and Technology Management Research, 2014, 34(14): 167-170, 175.

[19] Li Zhanlei, Li Rui, Xu Yongqiang. Research on the contagion of associated credit risk in mutual guarantee financing--Based on the perspective of borrower default[J]. Friends of Accounting, 2023, (11): 25-31.