文献类型：期刊文献

中文题名：农户清洁能源采纳能降低中老年人的医疗消费吗?——基于2015年CHARLS数据的实证分析

英文题名：Does the Adoption of Clean Energy Matter to Healthcare Consumption of Middle-Aged and Elderly in Rural China?:An Empirical Analysis Based on CHARLS Data in 2015

作者：刘子铭[1];李佳[1]

机构：[1]华东理工大学社会与公共管理学院,上海200237

年份：2020

卷号：36

期号：4

起止页码：156

中文期刊名：生态经济

外文期刊名：Ecological Economy

收录：CSTPCD;;国家哲学社会科学学术期刊数据库;北大核心:【北大核心2017】；

基金：中央高校基本科研业务费资助项目“农户能源消费转变:驱动机理、绩效评价与政策设计”(50321051922002);上海市教育委员会科研创新计划项目人文社会科学重大项目资助“城市公共产品有效供给机制研究”(2017-01-07-00-02-E00008);国家自然科学基金资助项目“农地规模经营研究:驱动机理、绩效评价、政策设计”(71673144)。

语种：中文

中文关键词：能源转型;清洁能源;健康效应;倾向得分匹配;控制函数

外文关键词：energy transition;clean energy;health effects;propensity score matching;control function

摘要：利用2015年中国健康与养老追踪调查数据,首次提供了农户清洁能源采纳对家庭医疗消费影响的实证证据,分别利用倾向得分匹配法(PSM)和基于工具变量的两阶段控制函数法(IV-2SCF)解决农户清洁能源采纳的样本选择偏误问题。研究表明:农户采用清洁能源不仅受年龄、教育和婚姻状况等特征的影响,而且与工作性质、家庭资产和住宅结构密切相关;在清洁能源采纳的医疗消费效应方面,使用清洁能源对农村中老年人医疗消费具有显著的抑制作用,主要的作用路径为"清洁能源使用—释放健康效应—医疗消费成本控制"。以上结果表明:随着老龄化现象日趋严重,推进农村能源转型将有助于缓解农村公共医疗服务供给不足的压力;另外,通过建立和提高清洁能源使用补贴、改善农村家庭住房结构和促进劳动力转移等政策工具,有助于加快农户能源选择转型。
This paper estimates the effect of the adoption of clean fuels on healthcare consumption of the elderly,using data of China health and retirement longitudinal study 2015.A propensity score matching and a two-step control function approach are employed to address selection bias.We find that the household adoption of clean fuels is determined by individual characteristics,such as age,education,marriage,as well as employment,household assets and house structure.In terms of the medical consumption effect adopted by clean energy,the use of clean energy has a significant inhibitory effect on the medical consumption of rural middle-aged and elderly people,and the main path of action is"use of clean energy—release of health effect—medical consumption cost control".We conclude that in rural China,a rapidly aging society,energy transition can contribute to addressing the challenge of healthcare service shortage.To encourage the adoption of clean fuels,policy makers may subsidize the use of clean fuels,implement house upgrade programs and stimulate labor migration from agricultural sector to non-agricultural sector.