Cross-Domain Patent Analytics: Linking IP Strategy with ESG and Green Finance Outcomes

While Podrecca et al. (2024) and Khalatur & Dubovych (2022) analyze AI and green finance patents separately, and Wang et al. (2023) link sustainable innovation to firm outcomes, there’s a gap in understanding how IP strategy choices specifically shape a firm’s ESG profile and access to green capital. This research would assemble a cross-domain dataset combining patent data, firm-level ESG scores, and green finance participation (e.g., green bonds, loans). By applying advanced analytics (e.g., machine learning, network analysis), it would uncover which IP strategies—such as open licensing, patent pooling, or aggressive protection—most strongly correlate with positive ESG outcomes and financial benefits. The novelty is in the synthesis: integrating IP and finance/ESG data to empirically test assumptions about sustainable innovation management, potentially influencing both corporate strategy and investor decision-making.

References:

1. Financial Engineering of Green Finance as an Element of Environmental Innovation Management. S. Khalatur, O. Dubovych (2022). Marketing and Management of Innovations.
2. Sustainable Innovation and Firm Performance Driven by FinTech Policies: Moderating Effect of Capital Adequacy Ratio. Jian-Hang Wang, Yu-Hsien Wu, P. Yang, Hsiang-Yi Hsu (2023). Sustainability.
3. Artificial Intelligence for Climate Change: A Patent Analysis in the Manufacturing Sector. Matteo Podrecca, G. Culot, Sam Tavassoli, G. Orzes (2024). IEEE transactions on engineering management.