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金融研究  2025, Vol. 542 Issue (8): 75-92    
  本期目录 | 过刊浏览 | 高级检索 |
供应链不确定性与中国企业创新——基于中美供应链微观企业数据的分析
潘玉坤, 杜茜茜, 龚强, 叶奎成
东北财经大学会计学院,辽宁大连 116012;
西南财经大学经济与管理研究院,四川成都 611130;
中南财经政法大学文澜学院,湖北武汉 430073
Supply Chain Uncertainty and Innovation in Chinese Firms: Evidence from Firm-level Data along the China-US Supply Chain
PAN Yukun, DU Qianqian, GONG Qiang, YE Kuicheng
School of Accounting, Dongbei University of Finance and Economics;
Research Institute of Economics and Management, Southwestern University of Finance and Economics;
Wenlan School of Business, Zhongnan University of Economics and Law
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摘要 科技创新不仅是大国战略博弈的关键,更是提升产业链供应链韧性和安全水平、推动新质生产力发展的重要引擎。本文通过分析逾70万份美国分析师报告和20余万份中国分析师报告,构建了中美供应链不确定性指标,并结合独特的中美供应链上下游微观企业数据,系统考察中美供应链不确定性对中国企业创新的影响。研究表明,中美供应链不确定性的提升抑制了中美供应链上中国企业的创新投入和创新产出,且该效应可由投资不可逆性与企业融资条件改变所解释。进一步分析表明,对于高科技企业而言,中美供应链不确定性的提升对其创新的抑制影响并不明显;而政府扶持则可以有效帮助本土企业迎难而上,缓解外部供应链不确定性增加对其创新带来的负面影响。在全球经济格局日益复杂的背景下,本文研究不仅为理解全球经济不确定性如何影响微观企业行为提供了新的视角,也为如何维持和提升中国企业的创新动力提供参考。
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潘玉坤
杜茜茜
龚强
叶奎成
关键词:  中美供应链不确定性  供应链安全  企业创新    
Summary:  Amid the unprecedented transformations in the global landscape, the global political and economic order is undergoing profound changes, and the increasingly complex political and economic relations between China and the United States have significantly increased the uncertainty of the supply chains of the two countries. In particular, the intensifying competition in critical technologies and “bottleneck” areas has emerged as a crucial factor shaping the strategic rivalry between the two nations. In this context, technological innovation serves not only as a cornerstone of strategic competition among major powers but also as a key driver of resilience in industrial and supply chains. By strengthening technological innovation, countries can safeguard national security and economic stability more effectively, reduce dependence on external technologies, and enhance the autonomy, controllability and risk resistance of their industrial chains. Moreover, technological innovation is an essential engine for developing new quality productive forces, enabling countries to occupy the commanding heights of technology and industrial development in the global competition and further enhancing the country's comprehensive economic strength and international discourse power. Therefore, how Chinese firms embedded in cross-border supply chains respond to the shocks of China-US supply chain uncertainty has become a critical issue for enhancing the resilience and security of industrial and supply chains and ensuring high-quality economic development.
This study constructs a China-US supply chain uncertainty index based on textual analysis of over 700,000 analyst reports on U.S. listed companies and more than 200,000 analyst reports on Chinese listed companies. Combining this index with unique firm-level supplier-customer relationship data along the China-US supply chain, we systematically examine the impact of the China-US supply chain uncertainty on innovation activities of Chinese firms. As an external source of uncertainty, China-US supply chain uncertainty is theoretically analyzed and predicted within the theoretical frameworks of real options theory and investment irreversibility theory. Real options theory emphasizes that firms should maintain strategic flexibility under uncertainty and adjust their decisions dynamically as actual future conditions unfold, while investment irreversibility theory posits that irreversible investments require a careful trade-off between potential returns and risks. Accordingly, heightened uncertainty often leads firms to postpone investment decisions, waiting for more information or clearer market conditions before acting. Therefore, we expect that rising China-US supply chain uncertainty significantly suppresses both innovation input and output of Chinese firms embedded in the supply chain.
Our China-US supply chain data is drawn from the FactSet Revere database; U.S. analyst reports are sourced from the Thomson Reuters database; Chinese analyst reports come from Eastmoney; Chinese listed firms' financial data is from the China Stock Market & Accounting Research (CSMAR) database; patent data is from the Chinese Research Data Services (CNRDS) database; and macroeconomic data is obtained from various editions of the China Statistical Yearbook. Empirical results indicate that China-US supply chain uncertainty increases firms' risk aversion, leading them to reduce innovation input and thus reduce innovation output out of prudence. This finding remains robust after a series of robustness checks. Mechanism analyses further reveal that the negative effect operates primarily through two channels: enhanced investment irreversibility and deteriorated financing conditions. Heterogeneity analyses show that high-tech firms are better able to sustain innovation investment in the face of rising China-US supply chain uncertainty compared to non-high-tech firms, and that government support can mitigate the adverse impact of such uncertainty on firm innovation.
This study makes several contributions. First, it extends the existing literature by offering a novel perspective on economic and political uncertainty. Previous studies have primarily relied on the economic policy uncertainty index developed by Baker et al. (2016), which focuses on measuring a country's overall economic policy uncertainty and does not capture uncertainty in inter-country relations. By conducting textual analysis of U.S. and Chinese analyst reports, this study constructs a bilateral supply chain uncertainty index, providing a new quantitative approach to measure uncertainty. Second, it enriches the literature on the impact of uncertainty on micro firms by examining the effects of cross-national rather than purely domestic uncertainty, using high-granularity micro-level supply chain data from both China and the U.S. and analyzing the asymmetric innovation responses of suppliers and customers, thereby broadening the perspective on supply chain research. Third, this study provides policy relevant empirical evidence for policymakers. As the most important and enduring source of global economic policy uncertainty, China-US relations continue to exert far-reaching effects on the security and resilience of China's industrial chains at present and into the foreseeable future. Our findings suggest that the government can enhance firms' capacity to cope with external uncertainty and foster innovation upgrading by more effectively employing tax, fiscal, and industrial policies, thereby safeguarding supply chain security and strengthening overall economic resilience.
Keywords:  Uncertainty in the China-US Supply Chain    Supply Chain Security    Firm Innovation
JEL分类号:  G31   G30   F23  
基金资助: * 本文感谢国家自然科学基金青年项目(72102190)和西南财经大学“光华英才工程”的资助。感谢匿名审稿人的宝贵意见,文责自负。
通讯作者:  杜茜茜,金融学博士,副教授,西南财经大学经济与管理研究院,E-mail:duqq@swufe.edu.cn.   
作者简介:  潘玉坤,金融学博士,副教授,东北财经大学会计学院,E-mail:yukunpan@dufe.edu.cn.
龚 强,管理学博士,教授,中南财经政法大学文澜学院,北京大学数字金融研究中心,E-mail:qianggong@zuel.edu.cn.
叶奎成,硕士研究生,西南财经大学经济与管理研究院,E-mail:yekuicheng@foxmail.com.
引用本文:    
潘玉坤, 杜茜茜, 龚强, 叶奎成. 供应链不确定性与中国企业创新——基于中美供应链微观企业数据的分析[J]. 金融研究, 2025, 542(8): 75-92.
PAN Yukun, DU Qianqian, GONG Qiang, YE Kuicheng. Supply Chain Uncertainty and Innovation in Chinese Firms: Evidence from Firm-level Data along the China-US Supply Chain. Journal of Financial Research, 2025, 542(8): 75-92.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2025/V542/I8/75
[1] 蔡宏波、汤城建和韩金镕,2023,《减税激励、供应链溢出与数字化转型》,《经济研究》第7期,第156~173页。
[2] 陈勇兵、李辉和张晓倩,2023,《供应链冲击与企业生产产品范围调整》,《世界经济》第5期,第29~57页。
[3] 底璐璐、罗勇根、江伟和陈灿,2020,《客户年报语调具有供应链传染效应吗?——企业现金持有的视角》,《管理世界》第8期,第148~163页。
[4] 杜茜茜、孔东民、潘玉坤和申睿,2025,《全球供应链关系中的行业不确定性对中国企业的影响——基于中美供应链关系的研究》,《经济研究》第2期,第176~191页。
[5] 葛新宇、庄嘉莉和刘岩,2021,《贸易政策不确定性如何影响商业银行风险——对企业经营渠道的检验》,《中国工业经济》第8期,第133~151页。
[6] 顾海峰和于家珺,2019,《中国经济政策不确定性与银行风险承担》,《世界经济》第11期,第148~171页。
[7] 顾夏铭、陈勇民和潘士远,2018,《经济政策不确定性与创新——基于我国上市公司的实证分析》,《经济研究》第2期,第109~123页。
[8] 黄卓、邱晗、沈艳和童晨,2018,《测量中国的金融不确定性——基于大数据的方法》,《金融研究》第11期,第30~46页。
[9] 江轩宇,2016,《政府放权与国有企业创新——基于地方国企金字塔结构视角的研究》,《管理世界》第9期,第120~135页。
[10] 姜富伟、孟令超和唐国豪,2021,《媒体文本情绪与股票回报预测》,《经济学(季刊)》第4期,第1323~1344页。
[11] 孔东民、徐茗丽和孔高文,2017,《企业内部薪酬差距与创新》,《经济研究》第10期,第144~157页。
[12] 黎文靖和郑曼妮,2016,《实质性创新还是策略性创新?——宏观产业政策对微观企业创新的影响》,《经济研究》第4期,第60~73页。
[13] 李凤羽和杨墨竹,2015,《经济政策不确定性会抑制企业投资吗?——基于中国经济政策不确定指数的实证研究》,《金融研究》第4期,第115~129页。
[14] 李青原、李昱、章尹赛楠和郑昊天,2023,《企业数字化转型的信息溢出效应——基于供应链视角的经验证据》,《中国工业经济》第7期,第142~159页。
[15] 李增福、陈俊杰、连玉君和李铭杰,2022,《经济政策不确定性与企业短债长用》,《管理世界》第1期,第77~89, 143, 90~101页。
[16] 吕越和邓利静,2020,《全球价值链下的中国企业“产品锁定”破局——基于产品多样性视角的经验证据》,《管理世界》第8期,第83~98页。
[17] 孟庆斌和师倩,2017,《宏观经济政策不确定性对企业研发的影响:理论与经验研究》,《世界经济》第9期,第75~98页。
[18] 倪红福和王海成,2022,《企业在全球价值链中的位置及其结构变化》,《经济研究》第2期,第107~124页。
[19] 潘越、潘健平和戴亦一,2015,《公司诉讼风险、司法地方保护主义与企业创新》,《经济研究》第3期,第131~145页。
[20] 邱兆祥和刘远亮,2010,《宏观经济不确定性与银行资产组合行为:1995—2009》,《金融研究》第11期,第34~44页。
[21] 饶品贵、岳衡和姜国华,2017,《经济政策不确定性与企业投资行为研究》,《世界经济》第2期,第27~51页。
[22] 田国强和李双建,2020,《经济政策不确定性与银行流动性创造:来自中国的经验证据》,《经济研究》第11期,第19~35页。
[23] 王红建、李青原和邢斐,2014,《经济政策不确定性、现金持有水平及其市场价值》,《金融研究》第9期,第53~68页。
[24] 王义中和宋敏,2014,《宏观经济不确定性、资金需求与公司投资》,《经济研究》第2期,第4~17页。
[25] 肖红军、沈洪涛和周艳坤,2024,《客户企业数字化、供应商企业ESG表现与供应链可持续发展》,《经济研究》第3期,第54~73页。
[26] 余明桂、李文贵和潘红波,2013,《管理者过度自信与企业风险承担》,《金融研究》第1期,第149~163页。
[27] 张成思和刘贯春,2018,《中国实业部门投融资决策机制研究——基于经济政策不确定性和融资约束异质性视角》,《经济研究》第12期,第51~67页。
[28] 祝坤福、余心玎、魏尚进和王直,2022,《全球价值链中跨国公司活动测度及其增加值溯源》,《经济研究》第3期,第136~154页。
[29] Baker, S.R., N. Bloom and S.J. Davis, 2016, “Measuring Economic Policy Uncertainty,” The Quarterly Journal of Economics, 131(4), pp.1593~1636.
[30] Bernanke, B.S., 1983, “Irreversibility, Uncertainty and Cyclical Investment,” The Quarterly Journal of Economics, 98(1), pp.85~106.
[31] Bhattacharya, U., P.H. Hsu, X. Tian and Y. Xu, 2017, “What Affects Innovation More: Policy or Policy Uncertainty?,” Journal of Financial and Quantitative Analysis, 52(5), pp.1869~1901.
[32] Blome, C., S. Manning and M.C. Schleper, 2022, “The Contest for Value in Global Value Chains: Correcting for Distorted Distribution in the Global Apparel Industry,” Journal of International Business Studies, 53(8), pp.1836~1840.
[33] Bloom, N., 2009, “The Impact of Uncertainty Shocks,” Econometrica, 77(3), pp.623~685.
[34] Bloom, N., S. Bond and J. Van Reenen, 2007, “Uncertainty and Investment Dynamics,” The Review of Economic Studies, 74(2), pp.391~415.
[35] Bloom, N., M. Draca and J. Van Reenen, 2016, “Trade Induced Technical Change? The Impact of Chinese Imports on Innovation, IT and Productivity,” The Review of Economic Studies, 83(1), pp.87~117.
[36] Bonaime, A., H. Gulen and M. Ion, 2018, “Does Policy Uncertainty Affect Mergers and Acquisitions?,” Journal of Financial Economics, 129(3), pp.531~558.
[37] Cen, L., E.L. Maydew, L. Zhang and L. Zuo, 2017, “Customer-Supplier Relationships and Corporate Tax Avoidance,” Journal of Financial Economics, 123(2), pp.377~394.
[38] Chen, J., X. Su, X. Tian and B. Xu, 2022, “Does Customer-Base Structure Influence Managerial Risk-Taking Incentives?,” Journal of Financial Economics, 143(1), pp.462~483.
[39] Cho, Y.J., Y. Kim and Y. Zang, 2020, “Information Externalities and Voluntary Disclosure: Evidence from a Major Customer's Earnings Announcement,” The Accounting Review, 95(6), pp.73~96.
[40] Gulen, H. and M. Ion, 2016, “Policy Uncertainty and Corporate Investment,” The Review of Financial Studies, 29(3), pp.523~564.
[41] Itzkowitz, J., 2013, “Customers and Cash: How Relationships Affect Suppliers' Cash Holdings,” Journal of Corporate Finance, 19, pp.159~180.
[42] Julio, B. and Y. Yook, 2012, “Political Uncertainty and Corporate Investment Cycles,” The Journal of Finance, 67(1), pp.45~83.
[43] Jurado, K., S.C. Ludvigson and S. Ng, 2015, “Measuring Uncertainty,” American Economic Review, 105(3), pp.1177~1216.
[44] Loughran, T. and B. Mcdonald, 2011, “When Is a Liability Not a Liability? Textual Analysis, Dictionaries and 10‐Ks,” The Journal of Finance, 66(1), pp.35~65.
[45] Nagar, V., J. Schoenfeld and L. Wellman, 2019, “The Effect of Economic Policy Uncertainty on Investor Information Asymmetry and Management Disclosures,” Journal of Accounting and Economics, 67(1), pp.36~57.
[46] Sharma, A., V. Kumar, S.B. Borah and A. Adhikary, 2022, “Complexity in a Multinational Enterprise's Global Supply Chain and Its International Business Performance: A Bane or a Boon?”, Journal of International Business Studies, 53(5), pp. 850~878.
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