东北大学学报（社会科学版）

东北大学学报（社会科学版） ›› 2020, Vol. 22 ›› Issue (2): 31-40.DOI: 10.15936/j.cnki.1008-3758.2020.02.005

• 经济与管理研究 • 上一篇    下一篇

健康风险对城镇家庭消费的影响研究——基于中国5640个家庭的实证分析

丁梦，冯宗宪   

  1. (西安交通大学经济与金融学院，陕西西安710105)
  • 收稿日期:2019-09-10 修回日期:2019-09-10 出版日期:2020-03-25 发布日期:2020-04-02
  • 通讯作者: 丁梦
  • 作者简介:丁梦(1975-)，女，陕西西安人，西安交通大学博士研究生，主要从事消费经济、国际经济与贸易研究;冯宗宪(1954-)，男，浙江宁波人，西安交通大学教授，博士生导师，从事消费经济、金融理论与政策研究。
  • 基金资助:
    国家自然科学基金资助项目(71503299);国家社会科学基金重大资助项目(12&ZD070);陕西省教育厅科学研究专项计划资助项目(16JK2074)。

A Research on the Impact of Health Risk on Urban Household Consumption——An Empirical Analysis Based on 5640 Households in China

DING Meng， FENG Zong-xian   

  1. (School of Economics and Finance， Xi'an Jiaotong University， Xi'an 710105， China)
  • Received:2019-09-10 Revised:2019-09-10 Online:2020-03-25 Published:2020-04-02
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摘要： 利用中国城市居民消费金融调查数据，运用分位数回归法分析健康风险对城镇居民家庭消费的影响。研究发现:健康风险显著增加家庭医疗和居住支出，对交通支出具有显著的负向影响;健康风险的增加及家庭退休人口比重的提高均显著降低家庭非食品消费支出，且这种影响随着收入的提高而提高;健康风险加大会明显降低中等收入家庭的消费规模，但对高收入家庭总消费具有显著提升作用。因此，政府在制定刺激家庭消费的政策时，应充分考虑健康风险对家庭消费影响的异质性，从而有益于提高政策制定的科学性和有效性。

关键词: 健康风险, 分位数回归, 家庭消费, 异质性

Abstract: This paper uses the data of “China Survey of Consumer Finances” and quantile regression to analyze the impact of health risks on urban household consumption. The results show that the health risks have significant positive influence on medical and living expenses， and significant negative effects on traffic expenses. The increase of health risks and retired family members have significantly reduced household non-food consumption expenditures， and this impact increases with higher income. Health risk can significantly inhibit the consumption of middle-income families， but it will significantly increase the total consumption of high-income households. Therefore， the government should fully consider the heterogeneity of the impact of health risks on household consumption when formulating policies to stimulate household consumption， which is conducive to improving the scientificity and effectiveness of policy formulation.

Key words: health risk, quantile regression, household consumption, heterogeneity

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