TY  - GEN
AB  - 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.
AU  - Wu, Pengkun.
CN  - HB3654.A3
CY  - Singapore :
DA  - 2020.
DO  - 10.1007/978-981-15-8010-9
DO  - 10.1007/978-981-15-8
DO  - doi
ID  - 943873
KW  - Population aging
KW  - Family planning
LK  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-981-15-8010-9
N2  - 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.
PB  - Springer,
PP  - Singapore :
PY  - 2020.
SN  - 9789811580109
SN  - 9811580103
T1  - Population development challenges in China :family planning policy and provincial population difference /
TI  - Population development challenges in China :family planning policy and provincial population difference /
UR  - https://univsouthin.idm.oclc.org/login?url=https://dx.doi.org/10.1007/978-981-15-8010-9
ER  -