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About
Dr. Zhidan Yang is a leading researcher at the intersection of artificial intelligence and sustainable industrial development. Her work primarily focuses on how AI technologies can drive energy efficiency and low-carbon economic transformation in manufacturing. In her highly influential 2022 study, "Can Artificial Intelligence Improve the Energy Efficiency of Manufacturing Companies? Evidence from China," Dr. Yang provides groundbreaking empirical evidence using comprehensive survey data from enterprises in Guangdong Province. This paper, which has garnered over 100 citations, demonstrates that AI adoption significantly enhances energy performance, offering a practical pathway for nations pursuing carbon neutrality. Her research is notable for bridging the gap between advanced computational tools and real-world industrial policy, making her a key voice in sustainable manufacturing. Dr. Yang’s contributions are essential for students and policymakers alike, showing how digital innovation can directly support environmental goals while maintaining economic competitiveness.
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