System Dynamics Analysis for Policy Change of Beijing Old-Age Service Industry
Yanhong Yang, Haiqing Cao, Meiqi Feng, Cuiyou Yao
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.043How to use a DOI?
- old-age service industry, supply and demand imbalance, system dynamics, policy simulation
- Under the background of the population aging, taking the pension industry in Beijing as the research object, this paper builds the development model of the pension industry in Beijing by using the system dynamics method and makes comparative simulation analysis. The simulation results show that: (1) The development of the pension industry in Beijing mainly depends on the support of government financial. When the government’s financial investment in the pension services reaches 3‰, it can meet the funds needed for the development of the pension service industry. At the same time, private capital investment should be introduced appropriately in order to reduce financial pressure. (2) The government should improve relevant policies. Elderly people should be encouraged to provide for the aged in different place in order to reduce the pension pressure in Beijing. The medical level should be improved in non-Beijing area, etc. (3) The government and the corresponding pension institutions should work together to improve the quality of the service for the aged, improve the utilization rate of the bed and make rational use of the resources for the aged.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yanhong Yang AU - Haiqing Cao AU - Meiqi Feng AU - Cuiyou Yao PY - 2020 DA - 2020/04/06 TI - System Dynamics Analysis for Policy Change of Beijing Old-Age Service Industry BT - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020) PB - Atlantis Press SP - 241 EP - 249 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200402.043 DO - https://doi.org/10.2991/aebmr.k.200402.043 ID - Yang2020 ER -