Developed a forward-looking financial research framework (GVIM: Growth Value Identification Model) to examine how financial systems identify and price emerging productive forces in AI, semiconductors, and new energy industries. Built a cross-country empirical dataset covering major U.S. and Chinese technology firms, integrating R&D investment, revenue growth, market capitalization, and innovation-growth interaction factors. Using regression analysis, comparative case studies, and policy-oriented financial mechanisms, the project demonstrates that markets assign the highest valuation premium to firms capable of transforming innovation into scalable growth. The research further proposes a three-layer framework of value identification, risk layering, and value co-creation to explain how finance can accelerate real economic transformation.
