The Impact of Technology Investment on Innovation Outcomes: A Quantitative Study Based on Patent Data

Authors

  • Meiqi Lu

DOI:

https://doi.org/10.56028/aetr.14.1.238.2025

Keywords:

technology investment; innovation outcomes; patent data; machine learning; R&D expenditure; sustainable innovation.

Abstract

Innovation serves as a cornerstone of economic development and global competitiveness, with technology investment playing a pivotal role in driving inventive progress. This study investigates the intricate relationship between technology investment and innovation outcomes, utilizing patent data as a quantifiable proxy for innovation. By integrating comprehensive publicly available datasets with advanced machine learning methodologies, this research analyzes how financial and human capital investments shape both the quantity and quality of patents. Key findings reveal the significant influence of factors such as R&D expenditure and firm size, alongside the presence of non-linear dynamics and interaction effects. These insights not only bridge critical gaps in existing literature but also provide actionable recommendations for firms and policymakers seeking to optimize technology investment strategies and foster sustainable innovation ecosystems.

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Published

2025-06-23