近30年我国卫生总费用与国内生产总值的关系研究:基于小波神经网络模型

Estimation of Relationship between Total Expenditure on Health and GDP of China Based on Wavelet Neural Network Model

卫生总费用与国内生产总值的关系研究是卫生总费用筹资水平研究的主要内容。文章选取1978—2009年我国卫生总费用与国内生产总值的统计数据构建小波神经网络预测模型,描述卫生消费弹性系数和卫生总费用占国内生产总值百分比的发展特点,并预测未来趋势,以期为改善卫生筹资提供建议。

The relationship between total expenditure on health （TEH） and gross domestic product （GDP） is the main component of research on health financing level. We chose the statistics of total health expenditure and GDP of China from 1978 to 2009, described the development features of health consumption elasticity anti TEH/GDP and predicted their future trends by using wavelet neural network model, hoping to provide some suggestions for improving health financing.