人口年龄结构对城乡居民消费升级的影响——基于CHFS 2019数据的实证研究
Impact of Population Age Structure on Consumption Upgrading of Urban and Rural Residents—Empirical Study Based on CHFS 2019 Data
祝伟1
作者信息
- 1. 常州工学院经济与管理学院,江苏 常州 213032
- 折叠
摘要
利用中国家庭金融调查(CHFS)2019 年数据,实证分析人口年龄结构对城乡居民消费升级的影响.结果表明:总体来看,老年人口比重和少年儿童比重对消费率和恩格尔系数有显著的正向影响,对消费水平和高层次消费比重有显著的负向影响;从城乡对比来看,农村居民老年人口比重和少年儿童比重对消费升级的抑制作用大于城镇居民;从区域对比来看,老年人口比重显著抑制东西部城乡居民和中部农村居民的消费升级,少年儿童比重显著抑制西部城乡居民和中部农村居民的消费升级;从收入水平对比来看,老年人口比重显著抑制中低收入组和高收入组城乡居民以及低收入组农村居民的消费升级,少年儿童比重显著抑制低收入组城镇居民和所有收入组农村居民的消费升级.
Abstract
The impact of population age structure on the consumption upgrading of urban and rural resi-dents is empirically analyzed using the China Household Finance Survey(CHFS)2019 data.The results show that in general,the proportion of elderly population and the proportion of children have a positive im-pact on the consumption rate and Engel's coefficient,and a negative impact on the consumption level and the proportion of high-level consumption.The proportion of the elderly population and the proportion of children in rural residents have a greater negative effect on consumption upgrading than urban residents.The proportion of the elderly population significantly inhibited the consumption upgrading of urban and rural resi-dents in the eastern region and western region and rural residents in the central region.The proportion of children has significantly inhibited the consumption upgrading of urban and rural residents in the western re-gion and rural residents in the central region.The proportion of the elderly population significantly inhibited the consumption upgrading of urban and rural residents in the low-income group and the high-income group,as well as rural residents in the low-income group.The proportion of children significantly inhibited the con-sumption upgrading of urban residents in the low-income group and rural residents in all income groups.
关键词
人口年龄结构/老龄化/城乡居民/消费升级Key words
population age structure/aging/consumption upgrading/urban and rural residents引用本文复制引用
基金项目
江苏省教育厅高校哲学社会科学研究项目(2022SJYB1354)
出版年
2024
NETL
NSTL
万方数据