China's Pension Reform: Policy Research and Response to Challenge of Aging Population - Couverture rigide

Wang, Tao; Gao, Ke; Zhao, Ennan

Couverture rigide

ISBN 10 : 9819501024 ISBN 13 : 9789819501021

Editeur : Springer Verlag, Singapore, 2025

Synopsis

This book aims to present an overview of China's pension reform by first comprehensively analyzing the population aging situation, including its characteristics and future trends predicted through various models. It then examines the current state of the pension system, from its composition and reform history to the details of the endowment insurance fund. It further explores the reasons for reform, considering both external pressures and internal parameter limitations. Moreover, it looks into future reform directions by studying international experiences and China's unique circumstances, and also analyzes the potential impacts and prospects, including aspects like international cooperation and the role of technological development.

The content spans a wide range. It covers demographic aspects related to population aging, the structure and operation of the pension system, the economic and financial aspects such as fund management and sustainability, policy-related elements like reform causes and directions, international comparisons and cooperation, and the intersection of technology and pensions, including how digitalization, big data, artificial intelligence, and blockchain are changing the pension landscape.

A propos du livre

À propos de l'auteur

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.

Détails de l'édition

• Éditeur: Springer Verlag, Singapore
• Date d'édition: 2025
• Langue: anglais
• ISBN 10: 9819501024
• ISBN 13: 9789819501021
• Reliure: Relié
• Nombre de pages: 98
• Coordonnées du fabricant: GPSR Kontakt; ProductSafety@springernature.com; ; Uhlandstraße 14; Stuttgart; 70182; Allemagne