收入不平等与居民消费率的非线性关系——基于跨国面板数据的实证检验
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  • 英文篇名:Non-linear Relationship Between Income Inequality and Household Consumption Rate: An Empirical Study Based on Multinational Panel Data
  • 作者:易行健 ; 肖琪
  • 英文作者:YI Xing-jian;XIAO Qi;School of Finance, Guangdong University of Foreign Studies;
  • 关键词:收入不平等 ; 居民消费率 ; 跨国数据
  • 英文关键词:income inequality;;household consumption rate;;the cross-country data
  • 中文刊名:XTDX
  • 英文刊名:Journal of Xiangtan University(Philosophy and Social Sciences)
  • 机构:广东外语外贸大学金融学院;
  • 出版日期:2019-07-15
  • 出版单位:湘潭大学学报(哲学社会科学版)
  • 年:2019
  • 期:v.43;No.213
  • 基金:2015年国家社科基金重大项目“新常态下建立多点支撑的消费增长格局研究”(15ZDA013);; 2018年广东外语外贸大学研究生科研创新项目“收入不平等对居民消费率影响的实证研究”(18GWCXXM-16)
  • 语种:中文;
  • 页:XTDX201904009
  • 页数:6
  • CN:04
  • ISSN:43-1550/C
  • 分类号:62-67
摘要
利用151个国家1960—2017年的跨国数据构建了动态非平衡面板数据模型,对收入不平等与居民消费率的非线性关系进行了实证检验。研究发现,收入不平等与居民消费率整体呈"倒U型"关系,但这一关系只在发展中国家成立,发达国家中这一关系并不显著;金融发展水平的提高有利于发达国家促进居民消费,而在发展中国家金融发展所带来的效应不显著。另外,消费文化、经济发展水平、民生性财政支出和国家的系统不确定性也在一定程度上影响了居民消费。
        Using the cross-country data of 151 countries from 1960 to 2017, this paper constructs a dynamic unbalanced panel data model, and empirically studies the nonlinear relationship between income inequality and household consumption rate. The study finds that there is an "inverted U-shaped" relationship between income inequality and household consumption rate, but this relationship is only established in developing countries, which is not significant in developed countries; the improvement of the level of financial development is conducive to the promotion of household consumption in developed countries, while the effects of financial development in developing countries are not significant. In addition, consumption culture, economic development level, people's livelihood fiscal expenditure and national system uncertainty have affected residents' consumption to a certain extent.
引文
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    (1)三大需求是指支出法国内生产总值的三大构成项目,即最终消费支出、资本形成总额、货物和服务净出口。
    (2)数据来源:世界银行;贡献率是参考国家统计局的定义,指三大需求增量与支出法国内生产总值增量之比。
    (3)数据来源:世界银行。
    (4)数据来源:世界不平等数据库(WID)。
    (5)根据表2方程(3)总样本系统GMM的估计结果求得,极点值=1.080/(2*0.014),约为39(%)。
    (6)本文并未考虑引入交互项之后的多重共线性问题,因为Dalal和Zickar(2012)等认为有关交乘项导致的多重共线性问题并不重要,它只影响常数项的估计值,并不影响统计推断。[18]339-362