China's Pension Reform

Tao Wang, Ph.D. in Economics, is currently a lecturer in the Department of Taxation, School of Finance and Taxation, Capital University of Economics and Business. He holds a postdoctoral degree in finance from Guanghua School of Management, Peking University. Dr. Wang has published 14 papers in CSSCI, SSCI and SCI journals such as Fiscal Studies, Taxation Studies, Nankai Economic Studies, etc. Some of his papers have been selected as cover articles or reprinted, and his recommendations on governance have been adopted by the Ministry of Finance, the Supreme People's Court, and Beijing Municipal Commission of Development and Reform, etc. He is also the author and co-author of High Credit and Taxation. As an author and co-author, Dr. Wang has written books such as “High Credit Society”. Gao Ke holds an MBA from Peking University’s Guanghua School of Management, a PhD in Economics from the School of Finance and Taxation at the Central University of Finance and Economics, as well as postdoctoral qualifications in Theoretical Economics from the School of Social Sciences at Tsinghua University and in Applied Economics from the School of Economics at Peking University. He was brought in under Shandong Province’s “Qing You Plan” and is recognized as an expert receiving special allowances from the provincial government and as a top-tier professional and technical talent in Jinan. He has published over seventy articles in domestic and international journals, such as the Journal of the Central University of Finance and Economics, Studies in Institutional Economics, Economic Problems Exploration, Dongyue Tribune, Renewable Energy, and Energy & Environment. In addition, he has authored several monographs, including Fiscal Policy Research on Transforming China’s Economic Growth Drivers and Rural Revitalization: The Qilu Model. Ennan Zhao is a graduate student in Applied Analytics at Columbia University with a strong academic background in Accounting and Business Analytics from Northeastern University. Her research focuses on leveraging data analytics and machine learning to solve real-world problems, including consumer behavior analysis and financial modeling. Ennan has applied their expertise in professional roles, developing predictive models for delinquency risk and optimizing audit processes, and has contributed to consulting projects analyzing risk control and customer retention strategies. Proficient in Python, SQL, R, and Tableau, Ennan combines technical skills with a global perspective, fluency in Chinese, and a passion for innovation in data-driven solutions.