Analysis on Equity of Health Resources on Primary Medical and Health Service in ChongQing
- DOI
- 10.2991/assehr.k.200331.095How to use a DOI?
- Keywords
- Gini coefficient, Lorenz curve, the health service of township and community, the distribution of resources, equity
- Abstract
According to the population distribution and economic indicators, the equity analysis and evaluation of health resources of primary health services in Chongqing in 2014 was carried out. Comparative analysis between the Township and community Primary health care resources in 2014 was made. Its equity was evaluated with Lorenz Curves and Gini Coefficient. The results of analysis by the Lorenz curve and Gini coefficient showed that the per capita possession of community health resources was lower than that of the township in Chongqing. According to population distribution, the Gini coefficient of the township health resources were separately lower than 0.3, the Gini coefficient of the community health resources in addition to organ numbers of the community health service was below 0.3. However, the others were more than 0.4, close to inequity danger status. All kinds of township resources were achieved better fairness according to population distribution. The equity degree was lower on local governments of the community health service and the medical workers of the community except the organ numbers of the community health service.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Weiwei Liu AU - Shan He AU - Xin Zhao AU - Fang Tan PY - 2020 DA - 2020/04/02 TI - Analysis on Equity of Health Resources on Primary Medical and Health Service in ChongQing BT - Proceedings of the 5th International Conference on Social Sciences and Economic Development (ICSSED 2020) PB - Atlantis Press SP - 453 EP - 458 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200331.095 DO - 10.2991/assehr.k.200331.095 ID - Liu2020 ER -