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作 者:王婷[1] 李科宏 WANG Ting;LIKe -hong(Institute of Development Research,Yunnan University,Kunming 650091,China)
出 处:《云南财经大学学报》2018年第8期40-53,共14页Journal of Yunnan University of Finance and Economics
基 金:国家社会科学基金项目"城市化进程中的‘适度人口’动态测度及路径实现"(12CRK021);云南省哲学社会科学规划项目"基于老龄化趋势的云南二次人口红利研究"(YB2016038)
摘 要:围绕家庭背景与居民个体特征对城镇居民收入的影响路径,构建城镇居民收入决定的代际流动模型,分离出家庭背景对城镇居民收入的代际影响。在此基础上,利用中国家庭收入调查数据,对城镇居民收入代际流动模型进行估计,并采用Shapley值分解法测算家庭背景对城镇居民收入差距的代际流动贡献。结果表明:家庭教育背景和家庭经济背景对城镇居民收入差距存在较高的代际流动贡献,家庭政治背景代际流动贡献较弱。其中,家庭教育背景相对贡献度为52%~64%,主要通过子女工作年限和担任领导发挥作用;家庭经济背景相对贡献度为45%~80%,主要通过子女户口是否本地发挥作用。最后,提出了对策性建议。Based on come of urban residents, residents is constructed, the impacts of family background and individual characteristics on the in- an intergenerational mobility model determined by the income of urban and the intergenerational impact of family background on the income of urban residents is separated. Based on survey data of "Chinese Household Income Project", the paper estimates the intergenerational mobility model of the income of urban residents. Further- more, Shapley value decomposition method is applied to analyze the contribution of different family background to the income gap of urban residents. Results show that family education background and family economic status have relatively great contribution to the income gap, while the political background of the family has weak contribution on the income gap. The relative contribution rate of family education background is 52% to 64%, which functions mainly through the working years and the leadership position of children. The relative contribution rate of family economic status is 45% to 80%, which functions through the fact whether the children's hukou is local. Finally, policy recommendations are proposed.
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