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Technological Complexity Based on Japanese Patent Data

Published: April 16, 2025 | arXiv ID: 2504.11932v4

By: Rintaro Karashima, Hiroyasu Inoue

Potential Business Impact:

Helps countries pick the best new tech ideas.

Business Areas:
Business Intelligence Data and Analytics

As international competition intensifies in technologies, nations need to identify key technologies to foster innovation. However, the identification is challenging due to the independent and inherently complex nature of technologies. Traditionally, regional analyses of technological portfolios have been limited to binary evaluations, indicating merely whether a region specializes in a technology, or relying on the average Technological Complexity Index (TCI) of the specialized technologies. This study proposes that evaluating TCI at the corporate level could provide finer granularity and more detailed insights. To address the underutilization of corporate-level TCI assessments in Japan, this study applies the Technological Complexity Index using carefully processed patent data spanning fiscal years 1981 to 2010. Specifically, we analyze a bipartite network composed of 1,938 corporations connected to technological fields categorized into either 35 or 124 classifications. Our findings quantitatively characterize the ubiquity and sophistication of each technological field, reveal detailed technological trends reflecting broader societal contexts, and demonstrate methodological stability even when employing finer technological classifications. Additionally, our corporate-level approach allows consistent comparisons across different regions and technological fields, clarifying regional advantages in specific technologies. This refined analytical framework offers policymakers and researchers robust, targeted insights, thereby significantly contributing to innovation strategy formulation in Japan.

Page Count
15 pages

Category
Computer Science:
Social and Information Networks