工业互联网应用对企业供应链韧性的影响——基于工业互联网试点示范项目的准自然实验

The Impact of Industrial Internet Application on Corporate Supply Chain Resilience: A Quasi-natural Experiment Based on Industrial Internet Pilot Demonstration Projects

钟娟,耿青波,丁怡帆,魏彦杰

2026 第 28 卷 第 04 期 页码 105-121

DOI: 10.16538/j.cnki.jsufe.2026.04.008

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摘要

促进工业互联网与供应链深度融合是提升供应链韧性的新途径,对保障产业安全、维护经济稳定运行意义重大。文章以工业和信息化部推出的工业互联网试点示范项目为准自然实验,构建多期双重差分模型,实证检验工业互联网应用对企业供应链韧性的影响及其机制。研究发现,工业互联网应用能够提升企业供应链韧性,其作用机制在于工业互联网应用能够助力企业增强质量优势、提升营销能力、降低交易成本。异质性分析表明,工业互联网应用提升企业供应链韧性的作用在数字化应用水平高、供应商配置多元化程度高、声誉较好的企业中更显著;同时,该作用在低集中度行业、产业链下游、受公共卫生事件冲击较重地区的企业中也更显著,具有明显的纾困效应。进一步分析发现,工业互联网应用对企业供应链韧性的提升作用依赖企业库存的冗余设计,这将增加库存水平和存货管理压力;然而,库存冗余并不会降低企业全要素生产率,随着供应链韧性增强,全要素生产率也相应提高,即工业互联网应用具有提升企业供应链韧性与全要素生产率的双重效果。

Promoting the deep integration of the industrial Internet with supply chains is a new approach to enhancing supply chain resilience, which is of great significance for ensuring industrial security and maintaining stable economic operations. Taking the Industrial Internet Pilot Demonstration Projects launched by the Ministry of Industry and Information Technology as a quasi-natural experiment, this paper constructs a time-varying DID model to empirically examine the impact of industrial Internet application on corporate supply chain resilience and its underlying mechanisms. The results show that industrial Internet application significantly enhances corporate supply chain resilience. Mechanism testing reveals that industrial Internet empowers supply chain resilience primarily by strengthening corporate quality advantages, boosting marketing capabilities, and reducing transaction costs. Heterogeneity analysis indicates that this promoting effect is more pronounced among firms with deeper digital adoption, more diversified supplier configurations, and better reputation, suggesting that the full realization of such empowerment requires supporting conditions. Additionally, the effect is more salient for firms operating in less concentrated industries, positioned closer to the downstream end of the industrial chain, and facing severe disruptions from uncontrollable supply chain shocks, reflecting a distinct crisis-mitigation feature. Further analysis demonstrates that the effect is contingent on firms’ redundant inventory design, which elevates inventory levels and imposes pressure on inventory management. Nevertheless, the increased capital investment and inventory costs stemming from redundant design do not reduce TFP. Instead, enhanced supply chain resilience contributes to higher TFP, indicating that industrial Internet application delivers dual benefits of improved supply chain resilience and operational efficiency. This paper enriches the research on the economic consequences of industrial Internet application and the determinants of supply chain resilience, providing empirical evidence for further promoting industrial Internet application and optimizing corporate supply chain management.

参考文献

1 钞小静, 周文慧, 刘亚颖. 工业互联网与制造业企业全要素生产率[J]. 经济管理, 2024, (7). DOI:10.19616/j.cnki.bmj.2024.07.001
2 陈剑, 黄朔, 刘运辉. 从赋能到使能——数字化环境下的企业运营管理[J]. 管理世界, 2020, (2). DOI:10.3969/j.issn.1002-5502.2020.02.011
3 黄群慧, 余泳泽, 张松林. 互联网发展与制造业生产率提升: 内在机制与中国经验[J]. 中国工业经济, 2019, (8).
4 江艇. 因果推断经验研究中的中介效应与调节效应[J]. 中国工业经济, 2022, (5). DOI:10.3969/j.issn.1006-480X.2022.05.007
5 江小涓, 靳景. 数字技术提升经济效率: 服务分工、产业协同和数实孪生[J]. 管理世界, 2022, (12). DOI:10.3969/j.issn.1002-5502.2022.12.002
6 李琦, 刘力钢, 田伟健. 供应链数字鸿沟对供应链供需失调的影响研究[J]. 财经研究, 2025, (3).
7 李雪灵, 樊镁汐, 龙玉洁, 等. 工业互联网平台与“双重身份”用户企业价值共创的协同演化机理研究[J]. 管理世界, 2025, (6). DOI:10.3969/j.issn.1002-5502.2025.06.010
8 卢福财, 陈慧. 工业互联网、企业成长性与价值创造[J]. 经济管理, 2023, (1).
9 毛其淋, 王凯璇. 互联网发展如何优化企业资源配置——基于企业库存调整的视角[J]. 中国工业经济, 2023, (8). DOI:10.3969/j.issn.1006-480X.2023.08.009
10 邱煜, 伍勇强, 唐曼萍. 数字化转型与企业供应链依赖[J]. 中国软科学, 2023, (10). DOI:10.3969/j.issn.1002-9753.2023.10.019
11 权小锋, 李闯. 智能制造与成本粘性——来自中国智能制造示范项目的准自然实验[J]. 经济研究, 2022, (4).
12 史晓洁, 李洋. 工业互联网平台与企业供应链网络地位[J]. 经济管理, 2025, (2).
13 宋华, 韩梦玮, 沈凌云. 人工智能在供应链韧性塑造中的作用——基于迈创全球售后供应链管理实践的案例研究[J]. 中国工业经济, 2024, (5).
14 苏梽芳, 王婷伟, 白雨露, 等. 数字金融与制造业企业供应链韧性提升[J]. 经济评论, 2025, (1). DOI:10.19361/j.er.2025.01.06
15 陶锋, 王欣然, 徐扬, 等. 数字化转型、产业链供应链韧性与企业生产率[J]. 中国工业经济, 2023, (5).
16 武汉大学工业互联网研究课题组. “十四五”时期工业互联网高质量发展的战略思考[J]. 中国软科学, 2020, (5).
17 巫强, 姚雨秀. 企业数字化转型与供应链配置: 集中化还是多元化[J]. 中国工业经济, 2023, (8). DOI:10.3969/j.issn.1006-480X.2023.08.007
18 伍先福, 黄骁. 工业互联网对战略性新兴产业企业盈利能力的影响[J]. 软科学, 2024, (6). DOI:10.13956/j.ss.1001-8409.2024.06.11
19 谢家平, 郑颖珊, 董旗. 供应链数智化建设赋能制造企业新质生产力——基于供应链创新与应用试点城市建设的准自然实验[J]. 上海财经大学学报, 2024, (5). DOI:10.16538/j.cnki.jsufe.2024.05.002
20 杨志强, 唐松, 李增泉. 资本市场信息披露、关系型合约与供需长鞭效应——基于供应链信息外溢的经验证据[J]. 管理世界, 2020, (7). DOI:10.3969/j.issn.1002-5502.2020.07.009
21 应瑛, 董珊, 魏江, 等. 工业互联网平台赋能参与者数字创新的机制研究——基于再生性架构设计视角[J]. 管理世界, 2025, (6). DOI:10.3969/j.issn.1002-5502.2025.06.011
22 袁淳, 肖土盛, 耿春晓, 等. 数字化转型与企业分工: 专业化还是纵向一体化[J]. 中国工业经济, 2021, (9). DOI:10.3969/j.issn.1006-480X.2021.09.008
23 袁业虎, 吴端端. 企业数字化转型与供应链韧性——基于供应链溢出的视角[J]. 系统工程理论与实践, 2025, (7). DOI:10.12011/SETP2023-2465
24 张树山, 谷城. 供应链数字化与供应链韧性[J]. 财经研究, 2024, (7).
25 张树山, 谷城, 张佩雯, 等. 智慧物流赋能供应链韧性提升: 理论与经验证据[J]. 中国软科学, 2023, (11). DOI:10.3969/j.issn.1002-9753.2023.11.005
26 赵宸宇. 数字化发展与服务化转型——来自制造业上市公司的经验证据[J]. 南开管理评论, 2021, (2).
27 甄杰, 谢宗晓, 董坤祥, 等. 流程数字化、数据质量与企业竞争优势[J]. 上海财经大学学报, 2025, (5).
28 中国社会科学院工业经济研究所课题组, 张其仔. 提升产业链供应链现代化水平路径研究[J]. 中国工业经济, 2021, (2).
29 钟娟, 丁怡帆, 林子昂, 等. 人工智能应用与企业客户配置多元化: 基于人工智能创新应用先导区的准自然实验[J]. 外国经济与管理, 2025, (6). DOI:10.16538/j.cnki.fem.20241122.301
30 Bonadio B, Huo Z, Levchenko A A, et al. Global supply chains in the pandemic [J]. Journal of International Economics, 2021, 133: 103534. DOI:10.1016/j.jinteco.2021.103534
31 Callaway B, Sant’Anna P H C. Difference-in-differences with multiple time periods [J]. Journal of Econometrics, 2021, 225(2): 200–230. DOI:10.1016/j.jeconom.2020.12.001
32 Carvalho V M, Nirei M, Saito Y U, et al. Supply chain disruptions: Evidence from the Great East Japan Earthquake [J]. The Quarterly Journal of Economics, 2021, 136(2): 1255–1321. DOI:10.1093/qje/qjaa044
33 Cengiz D, Dube A, Lindner A, et al. The effect of minimum wages on low-wage jobs [J]. The Quarterly Journal of Economics, 2019, 134(3): 1405–1454. DOI:10.1093/qje/qjz014
34 Chetty R, Looney A, Kroft K. Salience and taxation: Theory and evidence [J]. American Economic Review, 2009, 99(4): 1145–1177. DOI:10.1257/aer.99.4.1145
35 Choi T Y, Dooley K J, Rungtusanatham M. Supply networks and complex adaptive systems: Control versus emergence [J]. Journal of Operations Management, 2001, 19(3): 351–366. DOI:10.1016/S0272-6963(00)00068-1
36 Cull R, Xu L C, Zhu T. Formal finance and trade credit during China’s transition [J]. Journal of Financial Intermediation, 2009, 18(2): 173–192. DOI:10.1016/j.jfi.2008.08.004
37 De Chaisemartin C, D’Haultfoeuille X. Two-way fixed effects estimators with heterogeneous treatment effects [J]. American Economic Review, 2020, 110(9): 2964–2996. DOI:10.1257/aer.20181169
38 Grossman G M, Helpman E, Lhuillier H. Supply chain resilience: Should policy promote international diversification or reshoring? [J]. Journal of Political Economy, 2023, 131(12): 3462–3496. DOI:10.1086/725173
39 Jacobson L S, LaLonde R J, Sullivan D G. Earnings losses of displaced workers [J]. The American Economic Review, 1993, 83(4): 685–709.
40 Negri M, Cagno E, Colicchia C, et al. Integrating sustainability and resilience in the supply chain: A systematic literature review and a research agenda [J]. Business Strategy and the Environment, 2021, 30(7): 2858–2886. DOI:10.1002/bse.2776
41 Peteraf M A. The cornerstones of competitive advantage: A resource-based view [J]. Strategic Management Journal, 1993, 14(3): 179–191. DOI:10.1002/smj.4250140303
42 Teece D J. Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance [J]. Strategic Management Journal, 2007, 28(13): 1319–1350. DOI:10.1002/smj.640
43 Yang M Y, Fu M T, Zhang Z H. The adoption of digital technologies in supply chains: Drivers, process and impact [J]. Technological Forecasting and Social Change, 2021, 169: 120795. DOI:10.1016/j.techfore.2021.120795