What drives income inequality? Bayesian evidence from the emerging market economies

被引:0
|
作者
Wang, Shengquan [1 ,2 ]
Gao, Yuan [3 ]
Luo, Mingjin [4 ,5 ]
机构
[1] Beijing Normal Univ, Inst Adv Studies Humanities & Social Sci, Zhuhai, Peoples R China
[2] Sun Yat Sen Univ, Int Sch Business & Finance, Zhuhai, Peoples R China
[3] Beijing Normal Univ, Bay Area Int Business Sch, Zhuhai, Peoples R China
[4] Shanghai Univ Int Business & Econ, Int Dev Cooperat Acad, Shanghai, Peoples R China
[5] Shanghai Univ Int Business & Econ, Int Dev Cooperat Acad, Shanghai 200336, Peoples R China
关键词
Income inequality; drivers; Bayesian model averaging; emerging market economies; FOREIGN DIRECT-INVESTMENT; PANEL-DATA; DEVELOPING-COUNTRIES; SENSITIVITY ANALYSES; MODEL SELECTION; G-PRIORS; GROWTH; IMPACT; TRADE; DETERMINANTS;
D O I
10.1080/15140326.2023.2237692
中图分类号
F [经济];
学科分类号
02 ;
摘要
What drives income inequality in emerging market economies? To end it, we approach this topic utilizing Bayesian model averaging and 27 emerging market economies panel dataset from 1990 to 2019. First, differently, we find a U-shaped Kuznets curve in emerging market economies rather than the notable inverted U-shaped curve. Besides, we find four strictly robust determinants of income inequality in emerging market economies, including the population aging, the female labor force participation, the unemployment level and the share of labor compensation in output. These results remain stable through a series of robustness checks. In most cases, the government expenditure and real exchange rate could also robustly drive the dynamics of income inequality in emerging market economies. Further, a comparative analysis suggests that financial development, inflation, human capital condition, total factor productivity and urbanization are distinct determinants of income inequality in the market economies.
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页数:35
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