报告一：Endogenous Standards for Subsidizing Emission Reductions
报告人：悉尼大学（The University of Sydney）商学院
Zhaolin Li 副教授
主持人： 秦绪伟 教授
主办单位：工业工程系
报告时间：2025年6月5日（周四）10:00--12:00
报告地点：文管楼 B306
报告二：团队学术研讨会
研讨时间：2025年6月5日（周四）14:00--16:00
报告摘要：
To promote carbon abatement activities, the Australian Government offers incentives known as Australian Carbon Credit Units. The Clean Energy Regulator (CER), an independent statutory authority in Australia, oversees the reporting and management of greenhouse gas emissions. This presentation highlights several research opportunities aimed at providing insights and recommendations to enhance the effectiveness and to strengthen CER’s role. Additionally, it proposes a mechanism design model to explore the characteristics of government-oriented and proponent-led standards for subsidizing emission reduction projects.
报告人简介：
Prof. Zhaolin (Erick) Li is an associate professor at the University of Sydney Business School. He received his Ph.D. in Business Administration from The Pennsylvania State University, a Master of Commerce in Accounting from The University of New South Wales, and a Bachelor of Engineering in Materials Science and Industrial Engineering from Shanghai Jiao Tong University. He has been a faculty member at The University of Sydney since January 2009. Prior to his academic career in Sydney, Dr. Li worked at Ernst & Young LLP and City University of Hong Kong.
Dr. Li has published seven articles in Production and Operations Management, establishing him as the most prolific Australian scholar in this flagship journal. He has also had two articles published or recently accepted by Management Science. According to studies by Babbar et al. (2017, 2018) in the International Journal of Production Economics, Dr. Li is ranked among Asia's top 25 scholars in Operations Management and Supply Chain Management, respectively.
His research focuses on supply chain management and the interfaces between operations management and other areas. His recent research applies mean-variance analysis to develop probabilistic bounds and create robust solutions for various business challenges. He has also pioneered a joint optimization method to efficiently solve a class of moment-based robust optimization models, achieving novel closed-form solutions that are otherwise unattainable through traditional two-stage methods. His newest article, accepted by Management Science, applies mean-variance analysis to moral hazard, demonstrating that ambiguity can fundamentally change the characteristics of the optimal contract between farmers and landowners.
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