摘要
应用随机前沿分析(SFA)和数据包络分析(DEA)两种方法,结合Malmquist指数,基于2002-2010年中国31个省份的健康面板数据,比较分析了中国健康生产效率及其变化状况。结果表明:两方法测算结果差异较大但各有特点,效率方面DEA高于SFA,在全要素生产率、前沿技术进步率和规模效率变动率方面测算值相反,并且SFA方法对前沿技术进步率的测算更符合现实;SFA对省域个体差异更敏感,能较好反映实质,而DEA能反映出现实随机波动性。考察期内中国健康生产效率总体上表现出缓慢上升的良好态势,但仍有较大的提升空间,且省域间差异较大;总体生产效率对技术前沿呈现追赶态势,其中管理因素促进了这一态势。
Using the Stochastic Frontier Analysis(SFA)and Data Envelopment Analysis(DEA)approach,with index of Malmquist,we analysis on the health technical efficiencies and its changes of China during 2002-2010.Our results show that the calculate result of two methods are remarkable difference and have different features,the efficiency calculated by the SFA method is lower than the DEA method.About total factor productivity,frontier technology progress rate and scale efficiency change rate,the calculation values of SFA is on the contrary to DEA,and measurement of SFA methods on the frontier technology progress rate is more realistic.SFA are more sensitive on provincial individual differences,and can better reflect the essence,DEA can reflect the random fluctuation.Health production efficiency in China has been slowly improving in recent years,but there is still great room for improvement,and have great differences between provinces.There is a trend that the production efficiency pursued the production frontier,and management factors contribute to it.
出处
《数理统计与管理》
CSSCI
北大核心
2014年第5期878-891,共14页
Journal of Applied Statistics and Management
基金
国家自然科学基金项目(71173106)
关键词
健康
生产效率
SFA
DEA
MALMQUIST指数
health
production efficiency
stochastic frontier analysis(SFA)
data envelopment analysis(DEA)
index of Malmquist