How Does Population Aging Influence Political Polarization

Shu-Chun Yu, Xiaojun Zhao
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Abstract

The population aging has been considered as a major trend in China. By 2019, people aged 60 or older has exceeded 2.49 m, accounting for 17.9% of the population, while people aged 65 or older has reaches 1.76 m, accounting for 12.6% of the population. However, there were no clear empirical evidences that show how political polarization is affected by the older population. We use a four-round household data from 2012-2018 CFPS of China to construct a large panel data including 14,352 adults each year. This paper computes the polarization index of eight typical public events and combines them to construct an overall index, using Gini coefficient, Theil index, and Atkinson index. We find that the index is larger for the oldest than for the youngest group in overall and eight measures, indicating that political polarization has gradually bifurcated with age. To explain this phenomenon, we focus on the demographic differences in information channel, parental influence, occupation distribution and regional migration between young and old people as evidence of higher polarization. Then, a Tobit model estimated at the age-province level implies that increase in average age is associated with significant grows in polarization index and four channel effects also hold. These findings provide a new perspective to explain the reason for increasing political polarization.
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人口老龄化如何影响政治两极分化
人口老龄化已被认为是中国的一大趋势。到2019年,60岁及以上人口已超过249万,占总人口的17.9%,65岁及以上人口已达到176万,占总人口的12.6%。然而,没有明确的实证证据表明政治两极分化如何受到人口老龄化的影响。我们使用2012-2018年中国CFPS的四轮家庭数据构建了每年包括14352名成年人的大型面板数据。本文利用基尼系数、泰尔指数和阿特金森指数,计算了8个典型公共事件的极化指数,并将其组合成一个整体指数。我们发现,在总体和八项指标中,年龄最大的群体的指数大于最年轻的群体,表明政治两极分化逐渐随着年龄的增长而分化。为了解释这一现象,我们关注年轻人和老年人之间在信息渠道、父母影响、职业分布和区域迁移方面的人口差异,作为两极分化加剧的证据。然后,在年龄-省份水平上估计的Tobit模型表明,平均年龄的增加与极化指数的显著增长相关,并且四通道效应也存在。这些发现为解释政治两极分化加剧的原因提供了一个新的视角。
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