The Impact of Different Levels of Income Inequality on Subjective Well-Being in China: A Panel Data Analysis
The Impact of Different Levels of Income Inequality on Subjective Well-Being in China: A Panel Data Analysis
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DOI：
10.1080/10971475.2022.2096809
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发表时间：
2022-07
期刊：
影响因子：
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通讯作者：
Sho-ei Komatsu;A. Suzuki
中科院分区：
文献类型：
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作者：
Sho-ei Komatsu;A. Suzuki
摘要收入不平等是当今世界面临的最严重的问题之一，中国是这一问题的典型代表。中国的收入不平等程度仍然很高，可能会对主观幸福感产生负面影响。本研究旨在阐明收入不平等是否会影响中国人的主观幸福感。利用中国家庭面板研究2010-2018年的五波数据进行面板数据分析，结果表明：第一，以省域基尼系数衡量的总体收入不平等具有显著的U型影响。第二，群体间收入不平等，即城市户口居民和农村户口移民之间的收入比，具有显著的U型影响。第三，城乡收入不平等的省级城市与农村家庭人均收入比衡量有一个倒U型的影响。为了解决收入不平等的内生性问题，本研究采用工具变量方法。为了进一步检查所用工具变量的有效性，本研究采用了最近的Conley et al.（2012）边界方法。我们的结果是强大的解决后，内分泌问题。我们的研究结果产生的一个重要政策含义是，需要采取战略，确保建立一个更加包容的社会，消除与户口有关的歧视和城乡歧视。
Abstract Income inequality is one of the most serious issues globally and China is the representative examples of this issue. Income inequality remains high in China and may negatively affects subjective well-being. This study clarifies whether income inequality affects subjective well-being in China. Using five waves of the 2010-2018 data from China Family Panel Studies, a panel data analysis reveals the following: First, general income inequality measured by provincial Gini coefficients has a significant U-shaped impact. Second, between-group income inequality, measured as income ratio between urban hukou residents and migrants with rural hukou, has a significant U-shaped impact. Third, urban-rural income inequality measured by provincial urban to rural household per capita income ratio has an inverted-U-shaped impact. To address endogeneity problems of income inequality, this study adopts instrumental variable approach. For the further robustness checks of the validity of the instrumental variable used, this study adopts the recent Conley et al. (2012) bounds approach. Our results are robust after addressing endogeneity problem. One important policy implication stemming from our results is the need to adopt strategies that ensure a more inclusive society without hukou-related and urban–rural discrimination.