Industrial chain resilience is a key factor in ensuring stable industrial supply and promoting high-quality industrial development in complex environments. With the convergence of global shifts and domestic transformation issues since 2018, the research and practical value of industrial chain resilience has become increasingly prominent. This paper conducts a bibliometric analysis rather than an empirical study on China’s industrial chains themselves. This paper selects 259 core journal articles on industrial chain resilience from the China National Knowledge Infrastructure (CNKI) database over the period 2018-2025. It conducts a visual knowledge map analysis and systematically traces the evolutionary path and core characteristics of relevant research. The findings reveal: ① The volume of industrial resilience literature exhibits a phased pattern of “fluctuating growth followed by rapid ascent,” entering a peak research period after 2020 driven by sudden risk events; ② Research hotspots primarily revolve around four dimensions: the integration of industrial chains and the digital-physical convergence in manufacturing, the digital economy and industrial structure upgrading, technology-driven industrial chain resilience, and rural digital agriculture; ③ Cutting-edge topics focus on the synergistic empowerment of industrial resilience through digital technologies and data elements, the spatial effects of artificial intelligence in driving industrial structural upgrading, and the resilience of digitalization and food security. Research hotspots are summarized as four stable thematic clusters that form the field’s foundational knowledge system. Research frontiers refer to emerging, policy-oriented, and spatially focused themes that have emerged since 2023, with clear temporal and logical boundaries distinguishing them from hotspots. The bibliometric analysis of this study indicates that future research should strengthen exploration in the areas of optimizing industrial chain layout, digital transformation of industrial chains, and the resilience of agricultural industrial chains.
References
[1]
Dong, L., & Zhao, F. (2023). The Mechanism and Implementation Pathways of the Digital Economy in Driving the Enhancement of Manufacturing Industrial Chain Resilience. Journal of Fujian Normal University (Philosophy and Social Sciences Edition), No. 5, 33-42. (In Chinese)
[2]
Fang, H., Jiang, C., & Li, X. (2025). Digital Technology Innovation and the Enhancement of Industrial Chain Resilience: An Examination from the Perspective of Node Enterprises. Economic Dynamics, No. 2, 127-144. (In Chinese)
[3]
He, Y., Chen, Z., & Zhou, D. (2025). A Study on the Effects, Mechanisms, and Pathways of Digital Rural Development in Enhancing the Resilience of Agricultural Industrial Chains (pp. 1-14). Chinese Journal of Agricultural Resources and Regional Planning. (In Chinese) https://link.cnki.net/urlid/11.3513.S.20251021.1433.032
[4]
Jia, W., & Jiang, Z. (2025). A Study on the Impact of Artificial Intelligence Applications on Industrial Chain Resilience: A Perspective Driven by Digital Innovation Ecosystems. Science and Technology Management, 46, 23-32. (In Chinese)
[5]
Jiao, F., & Liu, J. (2025). Artificial Intelligence, the Convergence of Digital and Physical Technologies, and the Resilience of the Manufacturing Industrial Chain. Journal of Yunnan Minzu University (Philosophy and Social Sciences Edition), 42, 86-99. (In Chinese)
[6]
Lai, S. (2025). Measurement of Artificial Intelligence Industrial Chain Resilience and Analysis of Spatial Convergence. Research on Technology, Economy, and Management, No. 2, 31-37. (In Chinese)
[7]
Li, Y., & Jin, X. (2025). The Impact of Digital-Physical Integration on the Resilience of Manufacturing Industrial Chains: An Analysis Based on the Dual “Technology-Data” Drivers of Enterprises. China Circulation Economy, 39, 3-18. (In Chinese)
[8]
Li, Y., Li, M., Li, Y. et al. (2025). A Study on the Driving Effects of Data Factors on Industrial Chain Resilience: From the Perspectives of Trade Costs and Industrial Interdependence. Exploration of Economic Issues, No. 8, 97-116. (In Chinese)
[9]
Li, Y., Xu, H., Song, Y. et al. (2024). The Digital Economy and Enhancing Industrial Chain Resilience: Mechanisms, Challenges, and Countermeasures. Research on Scientific Management, 42, 64-72. (In Chinese)
[10]
Liang, L., & Jin, G. (2023). A Study on Pathways for the Digital Economy to Empower the Enhancement of China’s Industrial Chain Resilience. Qilu Journal, No. 5, 129-138. (In Chinese)
[11]
Liu, W. (2025a). The Digital Economy and the Resilience of Manufacturing Industrial Chains: Theoretical Analysis and Empirical Testing. Statistics and Decision Making, 41, 5-10. (In Chinese)
[12]
Liu, Y. (2025b). Artificial Intelligence, Allocation of Innovation Factors, and Industrial Chain Resilience. Statistics and Decision Making, 41, 117-122. (In Chinese)
[13]
Ning, J., & Su, Z. (2025). A Study on the Impact of Data Factor Marketization on Industrial Chain Resilience: A Quasi-Natural Experiment Based on the Establishment of Data Trading Platforms. Industrial Economics Research, No. 5, 43-57, 86. (In Chinese)
[14]
Pan, W., He, Z., & Pan, H. (2025). Digital Economy, High-Quality Development of Industrial Chains, and Industrial Chain Resilience: Can Efficiency and Security Be Achieved Simultaneously? Economic System Reform, No. 1, 13-20. (In Chinese)
[15]
Song, Y., & Zhao, Y. (2025). The Impact of the Digital Economy on the Resilience of Agricultural Industrial Chains. Journal of Henan Agricultural University, 59, 1101-1111. (In Chinese)
[16]
Wu, S. (2025). An Analysis of the Dynamic Mechanism by Which New-Quality Productive Forces Drive the Resilience of Distribution Industrial Chains: Based on Tests of Technology Diffusion Thresholds and Spatial Spillover Effects. Research on Commercial Economics, No. 20, 177-180. (In Chinese)
[17]
Wu, W., & Shang, R. (2025). New-Quality Productive Forces in Digital Agriculture, Allocation of Innovative Factors, and Industrial Chain Resilience. Exploration of Economic Issues, No. 1, 23-36. (In Chinese)
[18]
Wu, Y., & Meng, X. (2025). How Digital-Physical Integration Empowers and Enhances Industrial Chain Resilience: Theoretical Mechanisms and Empirical Testing. Business Research, No. 6, 12-27. (In Chinese)
[19]
Yang, H., & Ma, W. (2025). Mechanisms and Spatial Spillover Effects of the Digital Economy on the Resilience of Agricultural Industrial Chains. Price Theory and Practice, No. 5, 210-215, 246. (In Chinese)
[20]
Yang, H., Fu, Q., & Li, L. (2025a). A Study on the Mechanisms and Effects of Digital Transformation on Industrial Chain Resilience: With a Comparative Analysis of Dimensions of Resilience in Manufacturing Industrial Chains. Studies in Science of Science, 43, 2532–2543, 2585. (In Chinese)
[21]
Yang, Y., Jin, B., & Yan, R. (2025b). Digital-Physical Integration, Financial Support, and Industrial Chain Resilience: An Analysis Based on Threshold Effects and Spatial Spillover Effects. Modern Management Science, No. 3, 66-80. (In Chinese)
[22]
Zhang, L., Chen, K., & Li, H. (2025a). Digital Economy Empowering the Resilience of Manufacturing Industrial Chains: Multidimensional Mechanisms and Spatial Spillovers. Journal of Jiangxi University of Finance and Economics, No. 1, 35-47. (In Chinese)
[23]
Zhang, M. (2025). A Study on the Measurement and Influencing Factors of Resilience in China’s High-Tech Industrial Chains. Statistics and Decision Making, 41, 118-123. (In Chinese)
[24]
Zhang, Q., Li, Y., Li, M. et al. (2025b). A Study on the Impact of Digital Rural Development on the Resilience of Agricultural Industrial Chains. Journal of Southwest University (Natural Science Edition), 47, 129-140. (In Chinese)
[25]
Zhang, Z., Yang, H., & Yi, E. (2025c). Digitalization, Integration of Manufacturing and Services, and Industrial Chain Resilience. Business Research, No. 1, 38-46. (In Chinese)
[26]
Zhao, C., & Yang, H. (2025). Data Factor Inputs and the Enhancement of Industrial Chain Resilience: An Empirical Analysis from a Firm-Level Perspective. Economic Theory and Economic Management, 45, 19-36. (In Chinese)
[27]
Zheng, T., & Yang, R. (2022). Technological Innovation, Industrial Upgrading, and Industrial Resilience in High-Tech Manufacturing. Technology and Economy, 41, 1-14. (In Chinese)
[28]
Zhou, S., Wang, X., & Shi, Y. (2025). The Impact of Establishing Pilot Zones for Innovative Applications of Artificial Intelligence on Enhancing Industrial Chain Resilience: An Empirical Study Based on Dual Machine Learning. Science and Technology Progress and Policy, 42, 1-9. (In Chinese)
