摘要
以Grossman健康生产函数为基础,构造了我国农村居民健康生产函数,并利用VAR模型和分布滞后模型对影响健康的经济、社会和环境变量进行了实证检验。检验结果表明,人均GDP的增长、人均纯收入的增加、财政卫生支出占GDP比重的提高能够改善健康状况,人均卫生支出的增加和农村居民居住环境的改善能够降低死亡率。因此,提高健康纯收入,增加政府卫生和教育投入,倡导生产生活低碳化,完善疾病预防和治疗制度,增强公共政策的一致性,有助于农村居民健康状况的改善。
A health production function of China on rural residents is developed on the basis of Grossman health production function,and the empirical tests on economic and social environment variables which will exert influence on health are made using VAR models and distributed lag model.The result shows that the growth of GDP per capita,net income increase per capita and share of fiscal expenditure on health service in GDP will help to improve the health conditions of rural residents,and increase of per capita health service expense per capita and improvement of living conditions of rural residents will reduce mortality.Therefore,increasing the health-based net income and governmental expenditure on health and education,promoting low-carbon production and life,improving disease prevention and treatment system and strengthening the consistency of public policy will help to improve the health of rural residents.
出处
《山西财经大学学报》
CSSCI
北大核心
2011年第1期1-8,共8页
Journal of Shanxi University of Finance and Economics
关键词
健康
健康生产函数
因素分析
health
health production function
factor-analysis
