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中国的代际流动:多维视角下的动态比较分析OA北大核心CHSSCDCSSCICSTPCD

Intergenerational Mobility in China

中文摘要英文摘要

促进代际流动是推进共同富裕的重要手段.使用联立方程模型多维度分析当前中国代际流动的动态特征以及各维度间的相互关系,并通过代际流动系数的分解探讨不同维度代际流动的影响因素.研究发现,教育的代际流动性要显著低于职业的代际流动性,并且教育与职业相互之间有显著影响,教育对职业代际流动的贡献超过 50%,父代职业对教育代际流动的贡献为 11%左右;母亲—子代的代际流动性显著低于父亲—子代的代际流动性,但更易受外在因素的影响;2018 年家庭社会地位的代际流动性相比 2010 年显著下降,并受个体职业选择的影响;父代—女儿的代际流动性显著低于父代—儿子的代际流动性,城镇的代际流动性低于农村的代际流动性;代际流动性与年龄之间关系总体呈现U型,20 世纪 70 年代末出生的个体代际流动性最差.因此,需要综合多个维度评估代际流动现状,通过促进公共服务均等化以推动区域均衡发展、加强弱势群体人力资本投资以提升其从经济增长中获益的能力,改善代际流动.

Summary China's attainment of building a moderately prosperous society in all aspects has shifted the focus towards achieving common prosperity as the primary goal of its economic and social development in the upcoming phase.However,challenges such as inequality,social class stratification,and relative poverty hinder the advancement toward common prosperity.Intergenerational mobility emerges as a pivotal issue,strongly linked to inequality dynamics and the persistence of poverty.Enhancing intergenerational mobility and fostering unhindered upward mobility pathways are imperative to mitigate inequality and break the cycle of intergenerational poverty transmission,thereby invigorating social development—a critical endeavor for promoting common prosperity.Despite existing research efforts,which predominantly examine intergenerational mobility from a singular perspective,there remains a dearth of comprehensive multidimensional analysis,limiting an accurate depiction of China's intergenerational mobility landscape. This study leverages data from the China Family Panel Studies(CFPS)to scrutinize intergenerational mobility across diverse dimensions encompassing education,occupation,and social status.Employing dynamic analysis and the Gelbach regression decomposition method,we explore the interplay among these dimensions and identify influential factors shaping intergenerational mobility.Our findings underscore that educational intergenerational mobility trails occupational mobility,with a notable interplay observed between the two dimensions.Education significantly influences over 50%of intergenerational occupational mobility,while parental occupation status contributes 11%to educational intergenerational mobility.Notably,mother-offspring mobility lags behind father-offspring mobility,albeit being more susceptible to external factors.Social status intergenerational mobility witnessed a marked decline from 2010 to 2018,influenced by occupational choices.Parent-daughter mobility lags behind parent-son mobility,with rural mobility trailing urban mobility until a reversal in 2018.The overall relationship between intergenerational mobility and age exhibits a U-shaped pattern,with individuals born in the 1970s experiencing the lowest intergenerational mobility. This paper extends existing literature in two primary dimensions.First,it employs a simultaneous equation model to integrate diverse dimensions of intergenerational mobility,facilitating a comprehensive and dynamic comparative analysis,offering insights into the current state of intergenerational mobility in China.Second,it employs the Gelbach regression decomposition method to dissect intergenerational mobility across years and dimensions,shedding light on interaction effects and exploring potential regional disparities. The multidimensional dynamic analysis of intergenerational mobility in China provides a thorough evaluation of its current state,delving into the heart of intergenerational class stratification and revealing underlying mechanisms.This nuanced understanding can inform targeted policy formulation to bolster intergenerational mobility,thus contributing significantly to the pursuit of common prosperity.

方迎风

武汉大学 经济与管理学院,湖北 武汉 430072

代际流动教育水平职业选择社会地位社会阶层共同富裕

intergenerational mobilityeducation leveloccupational choicesocial statussocial classcommon prosperity

《当代经济科学》 2024 (002)

17-29 / 13

国家自然科学基金青年项目"后扶贫时代中国相对贫困的动态识别及创新治理研究"(72003143).

10.20069/j.cnki.DJKX.202402002

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