中国卫生经济
中國衛生經濟
중국위생경제
CHINESE HEALTH ECONOMICS
2013年
11期
41-43
,共3页
卫生资源配置%聚类分析%有序Probit模型%比较研究
衛生資源配置%聚類分析%有序Probit模型%比較研究
위생자원배치%취류분석%유서Probit모형%비교연구
health resource allocation%cluster analysis%ordered probit model%comparative study
目的:通过比较中国31个省区的医疗卫生资源的人均配置水平,揭示各省区医疗资源配置特点及影响因素。方法:选取7个代表性指标,采用聚类分析方法,把31个省区的人均配置水平分成5个等级;根据5个等级,提出影响人均配置水平等级的影响因素,建立有序Probit模型并估计。结果:北京、上海、西藏分别属于第一、第四、第五等级,天津等7省区属于第二等级,河北等21省区属于第三等级;地区人均国民生产总值、家庭可支配收入等4个因素均显著影响人均配置水平。结论:经济发展与医疗资源的人均配置水平不均衡,政府卫生支出比重与人均医疗资源配置水平呈负向相关关系。
目的:通過比較中國31箇省區的醫療衛生資源的人均配置水平,揭示各省區醫療資源配置特點及影響因素。方法:選取7箇代錶性指標,採用聚類分析方法,把31箇省區的人均配置水平分成5箇等級;根據5箇等級,提齣影響人均配置水平等級的影響因素,建立有序Probit模型併估計。結果:北京、上海、西藏分彆屬于第一、第四、第五等級,天津等7省區屬于第二等級,河北等21省區屬于第三等級;地區人均國民生產總值、傢庭可支配收入等4箇因素均顯著影響人均配置水平。結論:經濟髮展與醫療資源的人均配置水平不均衡,政府衛生支齣比重與人均醫療資源配置水平呈負嚮相關關繫。
목적:통과비교중국31개성구적의료위생자원적인균배치수평,게시각성구의료자원배치특점급영향인소。방법:선취7개대표성지표,채용취류분석방법,파31개성구적인균배치수평분성5개등급;근거5개등급,제출영향인균배치수평등급적영향인소,건립유서Probit모형병고계。결과:북경、상해、서장분별속우제일、제사、제오등급,천진등7성구속우제이등급,하북등21성구속우제삼등급;지구인균국민생산총치、가정가지배수입등4개인소균현저영향인균배치수평。결론:경제발전여의료자원적인균배치수평불균형,정부위생지출비중여인균의료자원배치수평정부향상관관계。
Objective:Through comparing per capita allocation level of health resources in 31 provinces of China, the characteristics and the influencing factors of health resource allocation in each province are reveled. Methods: Selecting 7 representative indexes and using cluster analysis methods to divide per capita allocation level of 31 provinces into 5 grades; the influencing factors of per capita allocation level are proposed based on 5 grades and the ordered Probit model is built and estimated. Results: Beijing, Shanghai and Tibet respectively marked the first, the fourth and the fifth grade, 7 provinces ( including Tianjin) belong to the second grade, 21 provinces ( including Hebei ) belong to the third grade; four factors such as per capita GDP , family disposable income and so on all significantly affect per capita allocation level. Conclusion: Economic development and per capita allocation level of health resources are not balanced. The proportion of government health expenditure is negatively correlated with per capita allocation level of health resources.