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Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities

  • 2025
  • OriginalPaper
  • Chapter
Published in:
Authors
Peilin Liu
Zhipeng Cui
Yu Duan
Lixin Cui
Lu Bai
Published in
E-Business. Generative Artificial Intelligence and Management Transformation
Publisher
Springer Nature Switzerland

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Abstract

This chapter explores the resilience and security of the robotics industrial chain in China, highlighting the critical need for enhancing its robustness amidst global value chain restructuring and geopolitical conflicts. The study constructs a comprehensive evaluation index system covering enterprises, supply chains, industrial infrastructure, and dynamic development, providing a holistic assessment framework. By applying complex network theory and FUZZY VIKOR methods, the chapter analyzes the supply chain topology and identifies the importance of primary indicators, revealing spatial heterogeneity in robotics industrial chain resilience at the provincial level. The empirical study offers insights into the resilience levels of various provinces and cities, with Shanghai, Guangdong, and Zhejiang leading in comprehensive resilience evaluations. The chapter also discusses the regional differences and the scale-resilience relationship, providing a detailed classification of resilience levels across provinces. This in-depth analysis and the innovative methodologies used make it a compelling read for those interested in the resilience of high-tech industries and the strategies for enhancing industrial chain robustness.
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previous chapter Is Artificial Intelligence a Social Benefit? A Causal Analysis Based on the Double Machine Learning Method
next chapter Political Relationship Volatility and the CSR of Multinational Corporations in the Host Country
Title
Research on the Resilience and Security in Chinese Robot Industry Comparative Analysis of Provincial - Level Disparities
Authors
Peilin Liu
Zhipeng Cui
Yu Duan
Lixin Cui
Lu Bai
Copyright Year
2025
Book
E-Business. Generative Artificial Intelligence and Management Transformation

Print ISBN: 978-3-031-94186-3

Electronic ISBN: 978-3-031-94187-0

Copyright Year: 2025

DOI
https://doi.org/10.1007/978-3-031-94187-0_4
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