文建东a,b,谢聪b.人口老龄化对收入不平等的影响——基于省域数据的空间计量模型分析[J].南京审计学院学报,2017,(4):
人口老龄化对收入不平等的影响——基于省域数据的空间计量模型分析
  
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中文关键词:  人口老龄化  收入不平等  顶部老龄化  底部老龄化  空间计量模型  基尼系数  Moran’s I系数  人力资本水平
英文关键词:population aging  income inequality  top aging  bottom aging  Spatial econometric model  Gini coefficrent  Moran’s I Index  human capital level
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文建东a,b,谢聪b 武汉大学 a.经济发展研究中心b.经济与管理学院湖北 武汉 430072 
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中文摘要:
      收入不平等是我国经济增长过程中的突出现象,而人口老龄化对收入不平等有着重要影响。利用全域莫兰指数(Morans I)和局域空间自相关的LISA聚集图,对我国各省域收入不平等的空间相关性进行检验,并运用1998—2014年省级面板数据构建空间滞后模型和空间误差模型,探索老龄化影响收入不平等的作用机制,结果表明:我国各省域居民收入不平等具有显著的空间正相关性,即收入差距较大(小)的省域倾向于与其他收入差距较大(小)的省域相邻;老龄化会显著地拉大收入不平等,并且这种影响主要来自顶部老龄化,因为不同年龄群体内的收入不平等是随着年龄增加而扩大的。
英文摘要:
      Income inequality is an obvious phenomenon in the process of economic growth in China, and population aging has an important influence on income inequality. The paper makes an examination on the spatial correlation of income inequality between regions by the global Morans index(Morans I)of and spatially localized LISA map. Furthermore, this paper tries to construct the Spatial Lag Model and Spatial Error Model based on provincial level panel data of China from 1998 to 2014 and explore the aging effect mechanism of income inequality. Our estimation result shows income inequality of different provinces has significantly positive spatial correlation in China, which means provinces with high (low) income inequality tend to be adjacent. Aging Population does increase income inequality significantly. Moreover, this impact is mainly from topcaging because income inequality in different age groups increases with age.
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