INNOVATION MEASUREMENT BASED ON CITATION STRUCTURE AND SYSTEM PERFORMANCE DRIVEN PATH MODELING METHOD

Authors

  • Hao Ma (Corresponding Author) School of Business, University of Sanya, Sanya 572000, Hainan, China.
  • RuoNan Wang School of Business, University of Sanya, Sanya 572000, Hainan, China.

Keywords:

Causal modeling, Mediation mechanism, System performance, Total factor efficiency

Abstract

To bridge the gap in quantitative innovation analysis and causal pathway modeling for complex citation networks, this study proposes the INFORM framework (integrating Structural Innovation Measurement [OI], Nested Causal Modeling, and TFP Mediation Mechanism). Using USPTO/PATSTAT patent data (426,000 nodes and 5.832 million edges), we empirically verify the "structural innovation → system efficiency → system performance" path through two-way fixed effects and 2SLS methods. Results demonstrate that structural innovation has a statistically significant positive impact on performance (p<0.01), with TFP mediation explaining 28-34% of the variance. Four robustness tests confirm the framework's validity. This innovative approach overcomes traditional citation analysis limitations, extends to multi-citation scenarios, and provides a novel tool for patent value assessment.

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Published

2026-07-30

How to Cite

Hao Ma, RuoNan Wang. Innovation Measurement Based On Citation Structure And System Performance Driven Path Modeling Method. World Journal of Economics and Business Research. 2026, 4(6): 7-13. DOI: https://doi.org/10.61784/wjebr3121.