Chong Huang

Shandong University of Finance and Economics

Papers

Total Citations

H-Index

About

Chong Huang is a leading researcher at the intersection of artificial intelligence, environmental economics, and technological innovation. His work critically examines how AI development influences green technology innovation in China, a question of profound importance for sustainable development. His most-cited study, "How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis" (2022), has garnered 83 citations, establishing a foundational empirical framework for understanding the dual role of AI as both a driver and a disruptor in environmental progress. By employing dynamic panel data analysis, Huang provides robust evidence on the mechanisms through which AI can accelerate green patenting and eco-friendly production processes. His contributions are pivotal for policymakers and scholars seeking to harness digital transformation for climate goals. Huang’s work stands out for its rigorous methodology and timely relevance, offering actionable insights into how emerging economies can balance technological growth with ecological responsibility. His research continues to shape debates on the green digital transition, making him a key voice in the field of sustainable innovation.