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This book explores the population development challenges in China. It started by analyzing two of the major challenges: designing a suitable family planning policy and dealing with the serious provincial population difference. It then proposes effective measures to address these challenges by adopting various quantitative methods, such as system dynamics, nonlinear programming and spatial econometrics in evaluating the effects of different policy scenarios, which made the results more scientific and reliable, thus the final policy suggestions effective and evidence based. The book includes a number of mathematical models and is suitable for graduate students and researchers in population modeling and relevant research areas.
List of contents
Chapter 1. Introduction.- Chapter 2. The Serious Population Problems in China.- Part I: Challenge One: Designing Suitable Family Planning Policy.- Chapter 3. Population Development under Old One-child Family Planning Policy.- Chapter 4. Population Development under Single Two-child Family Planning Policy.- Chapter 5. Population Development under New Two-child Family Planning Policy.- Chapter 6. Reforming paths of China's Family Planning policy.- Part II: Challenge Two: Facing Serious Provincial Population Difference.- Chapter 7. Reforming Necessity of Family Planning Policy Among Different Provinces.- Chapter 8. Correlation Degree of Starting Time and Reforming Necessity of Family Planning Policy Among Different Provinces.- Chapter 9. Spatial Econometric Analyses of Population Structure Among Different Provinces.- Chapter 10. Conclusions and Suggestions.
About the author
Pengkun Wu received two Ph.D. degrees from The Hong Kong Polytechnic University and Harbin Institute of Technology. He is currently an Associate Professor at Sichuan University. His research interests are China's population development, decision support systems and e-commerce. He has published over 10 papers in some international journals, such as Decision Support Systems, Applied Mathematical Modelling, Social Indicators Research, Quality & Quantity and Journal of the Operational Research Society.
