首页|中国代际流动形成机制的空间异质性——基于地理加权回归模型的实证研究

中国代际流动形成机制的空间异质性——基于地理加权回归模型的实证研究

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本文以中国综合社会调查(CGSS)多年度数据中的73个样本城市为例,分析中国代际流动形成机制的空间异质性.通过构建代际地位关联度来表示代际流动水平,利用地理加权回归模型(GWR)探索各社会结构因素在不同地区对代际流动的影响差异,发现我国代际流动形成机制具有明显的空间异质性.具体而言:第一,工业化水平、收入差距、社会福利水平是影响代际流动的主要因素,但在不同城市中,上述因素的影响程度,甚至影响方向会发生变化;第二,决定不同地区代际流动水平的主导因素各不相同,必须因地制宜,采取针对性的空间治理举措.
The Spatial Heterogeneity of the Mechanisms Shaping Intergenerational Mobility in China:An Empirical Study Based on A Geographically Weighted Regression Model
This paper analyzes the spatial heterogeneity in the mechanisms shaping intergeneration-al mobility in China using data from 73 sample cities based on the Chinese General Social Survey(2010-2017).By constructing an indicator to represent intergenerational status correlation to measure mobili-ty levels and employing a geographically weighted regression(GWR)model,it explores how different social structural factors influence intergenerational mobility across regions.The findings indicate that mechanisms shaping intergenerational mobility in China display significant spatial heterogeneity.Specif-ically,(1)industrialization level,social inequality,and social welfare are major factors influencing in-tergenerational mobility;however,their influence varies in magnitude and even direction across differ-ent cities;(2)the dominant factors determining levels of intergenerational mobility differ from region to region,necessitating localized and targeted spatial governance measures.

intergenerational mobilityinfluencing factorsspatial heterogeneitygeographically weighted regression

王元超

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山东大学哲学与社会发展学院(济南250000)

代际流动 影响因素 空间异质性 地理加权回归

2024

浙江社会科学
浙江省社会科学界联合会

浙江社会科学

CSTPCDCSSCICHSSCD北大核心
影响因子:0.677
ISSN:1004-2253
年,卷(期):2024.(11)