TY - CHAP
T1 - Comprehensive Quantitative Assessment of the Security Level of China’s Semiconductor Industry Chain
AU - Ma, Tao
AU - Wang, Tiantian
AU - Zhang, Jian
N1 - Publisher Copyright:
© The Author(s) 2026.
PY - 2026
Y1 - 2026
N2 - Chapter 5 presents a comprehensive quantitative assessment of the security level of China’s semiconductor industry chain. It introduces an evaluation model integrating principal component analysis (PCA), entropy weighting, and the TOPSIS method, and details key methodological steps, including indicator standardisation, principal component extraction, weight determination, and final ranking based on relative closeness to ideal solutions. A longitudinal analysis covering the years 2015 to 2023 reveals an initial decline in supply chain security, followed by a steady recovery, culminating in the highest level recorded in 2023. A cross-sectional analysis of 29 provinces and municipalities in 2024 indicates that Guangdong ranks highest in security, while Shanxi ranks lowest, with the Eastern region leading overall. Segment-level trade analysis identifies downstream sectors as the most secure and upstream sectors as the most vulnerable. The chapter concludes with an in-depth assessment of import concentration risks, based on trade data from 2019 to 2024, highlighting structural vulnerabilities across countries and product categories that warrant strategic policy attention.
AB - Chapter 5 presents a comprehensive quantitative assessment of the security level of China’s semiconductor industry chain. It introduces an evaluation model integrating principal component analysis (PCA), entropy weighting, and the TOPSIS method, and details key methodological steps, including indicator standardisation, principal component extraction, weight determination, and final ranking based on relative closeness to ideal solutions. A longitudinal analysis covering the years 2015 to 2023 reveals an initial decline in supply chain security, followed by a steady recovery, culminating in the highest level recorded in 2023. A cross-sectional analysis of 29 provinces and municipalities in 2024 indicates that Guangdong ranks highest in security, while Shanxi ranks lowest, with the Eastern region leading overall. Segment-level trade analysis identifies downstream sectors as the most secure and upstream sectors as the most vulnerable. The chapter concludes with an in-depth assessment of import concentration risks, based on trade data from 2019 to 2024, highlighting structural vulnerabilities across countries and product categories that warrant strategic policy attention.
KW - Import Concentration Risk
KW - PCA–Entropy–TOPSIS Model
KW - Regional Security Comparison
KW - Security Assessment
KW - Trade Segment Security
UR - https://www.scopus.com/pages/publications/105035187198
U2 - 10.1007/978-981-95-3332-9_5
DO - 10.1007/978-981-95-3332-9_5
M3 - 章节
AN - SCOPUS:105035187198
T3 - SpringerBriefs in Economics
SP - 93
EP - 116
BT - SpringerBriefs in Economics
PB - Springer International Publishing
ER -