Papers
2
Total Citations
333
H-Index
2
About
Yu Qian is a prominent researcher whose work sits at the critical intersection of artificial intelligence, energy economics, and sustainable development. With a primary focus on how emerging technologies can drive environmental and economic transformation, Qian has made significant contributions to our understanding of AI's role in shaping China's industrial landscape. Qian's most celebrated work examines the relationship between artificial intelligence adoption and carbon intensity within China's industrial sector, a paper that has garnered an impressive 232 citations since its publication in 2021, reflecting its outsized influence in the field. Building on this foundation, their 2022 study leveraging comprehensive enterprise survey data from Guangdong Province investigates how AI implementation can meaningfully improve energy efficiency among manufacturing companies — a question with profound implications for low-carbon economic development globally. This follow-up work has already accumulated over 100 citations, underscoring its relevance to policymakers and researchers alike. Together, Qian's research provides compelling empirical evidence that technological innovation, particularly AI, can serve as a powerful lever for decarbonization and sustainable industrial growth — making their scholarship essential reading for anyone navigating the nexus of technology and environmental policy.
Research Focus
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Top Papers
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