Fangfang Cai

Shandong University of Finance and Economics

Papers

Total Citations

H-Index

About

Fangfang Cai is a leading scholar at the intersection of artificial intelligence, environmental economics, and technological innovation. Her research primarily investigates how AI development influences green technology innovation, with a particular focus on China’s evolving policy landscape. In her most-cited work, "How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis" (2022), Cai employs rigorous econometric methods to demonstrate that AI advancement significantly drives eco-friendly technological progress. This study, garnering 83 citations, provides critical insights for policymakers seeking to harness AI for sustainable development. Cai’s contributions extend to exploring the mechanisms through which digital transformation and innovation ecosystems interact, offering a nuanced understanding of how emerging technologies can address environmental challenges. Her work is widely referenced by scholars in innovation studies and environmental economics, reflecting its impact on shaping debates about technology-driven sustainability. Cai’s research not only advances academic knowledge but also offers practical guidance for leveraging AI to achieve green growth, making her a pivotal voice in contemporary discussions on technology and the environment.