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供应链信任衰退:网络安全风险与企业贸易信贷

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本文基于机器学习的文本分析方法,创新性地刻画中国企业网络安全风险程度,从供应链信任角度实证检验了网络安全风险对上下游企业贸易信贷决策和长期商业关系的影响.研究发现,网络安全风险显著降低了企业净贸易信贷.相较于供应商,客户对企业的网络安全风险更为敏感,企业净贸易信贷的减少主要由客户的避险动机驱动.而且,网络安全风险造成的声誉损失在数字化程度更高、商业秘密更多、非国有企业等事前网络安全风险敞口更大,以及市场势力更小、融资约束更大、管理层能力更低等事后损失可控能力更弱的企业中更为明显.进一步研究发现,网络安全风险还导致客户与企业间业务关系的动态调整,使客户将业务更多地配置到其他企业,引发供应链信任的长期衰退.加强数字治理、风险管理与企业交流,能够有效缓解网络安全风险造成的信任衰退.本文的研究发现对企业应对网络安全风险、稳定供应链合作关系具有重要的实践指导意义.
Supply Chain Trust Decline:Cybersecurity Risks and Corporate Trade Credit
With the rapid expansion of cyberspace and the fast development of information technology,cyberattacks have become increasingly commonplace.According to the survey of Cybersecurity Ventures,a world-renowned network economy research institution,the economic loss caused by cybercrimes is estimated to reach USD 10.5 trillion per year by 2025.The Chinese government attaches great importance to cybersecurity.General Secretary Xi Jinping profoundly pointed out that"without cybersecurity,there is no national security".However,existing studies have paid insufficient attention to the cybersecurity issues faced by Chinese enterprises.At present,the digital economy has become an inevitable trend in China's economy.It can be predicted that the cybersecurity risk exposure of Chinese enterprises will become increasingly prominent.In this context,accurately understanding the economic consequences of enterprise cybersecurity risks and exploring the effective governance strategies of enterprise cybersecurity risks can not only provide theoretical support for the formulation of cybersecurity-related policies in China but also provide new ideas for coping with future digital technology changes.Based on the text analysis method of machine learning,this paper innovatively depicts the cybersecurity risks of Chinese enterprises and empirically examines the impact of cybersecurity risks on the trade credit decision and long-term business relationship of upstream and downstream enterprises.This paper finds that cybersecurity risks significantly reduce corporate net trade credit and customers are more sensitive to enterprise cybersecurity risks than suppliers.The decrease in corporate net trade credit is mainly driven by customers'risk aversion motivation.In addition,the reputation loss caused by cybersecurity risks is more obvious in enterprises with greater exposure to cybersecurity risks,such as enterprises with higher digitalization or more trade secrets and non-state-owned enterprises,as well as in enterprises with a weaker ability to control losses afterward,such as enterprises with smaller market power,greater financing constraints,and lower management ability.Further analysis shows that cybersecurity risks lead to the dynamic adjustment of the business relationship between customers and enterprises,so that customers allocate more businesses to other enterprises,thus triggering the long-term decline of supply chain trust.Strengthening digital governance,risk management,and enterprise communication can effectively alleviate the trust decline caused by cybersecurity risks.The possible contributions of this paper are as follows.Firstly,this paper extends relevant studies on reputation loss of cybersecurity risks from the perspective of supply chain trust.By examining the impact of enterprise cybersecurity risk on the trade credit decision of upstream and downstream enterprises and the adjustment of the long-term business relationship caused by it,this paper provides a new perspective for revealing the transmission mechanism of cybersecurity risks in the supply chain.Secondly,this paper supplements research on the influencing factors of corporate trade credit from the perspective of cybersecurity risks.Digital technology and the real economy are deeply integrated with the rapid development of information technology.While bringing efficiency to enterprises,new technologies generate new cybersecurity problems.Analyzing the impact of cybersecurity risks on corporate trade credit,this paper provides new ideas for understanding trust construction and business dynamics among enterprises in the context of the digital economy.Thirdly,at the methodological level,this paper innovatively uses the text analysis method based on machine learning and take the MD&A text of listed companies'annual reports as the analysis objects to construct indicators that can comprehensively reflect the cybersecurity risks of Chinese enterprises,providing a useful reference for the subsequent assessment of enterprise cybersecurity risks and their economic impacts.

cybersecurity riskscorporate trade creditsupply chaintext analysis

耿勇、向晓建、万攀兵

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云南大学经济学院

武汉大学经济与管理学院

网络安全风险 企业贸易信贷 供应链 文本分析

国家自然科学基金青年项目教育部人文社会科学研究基金青年项目教育部人文社会科学研究基金青年项目

7230320323YJC79015722YJC790118

2024

中国工业经济
中国社会科学院工业经济研究所

中国工业经济

CSTPCDCSSCICHSSCD北大核心
影响因子:2.932
ISSN:1006-480X
年,卷(期):2024.(5)