基于logit模型的城市高学历人群长期居留倾向研究

发布时间：2018-04-19 09:54

本文选题：社会人口学特征 + 高学历人群　；参考：《人口学刊》2014年01期

【摘要】：我国城市政府普遍意识到高学历人群流入对于城市发展的重要意义,制定了一系列吸引人才的公共政策,但是对影响高学历人才长期居留因素认识不足,致使政策制定缺乏依据并且效果欠佳。国内外学者对于影响流动人口长期居留因素的研究较多,而从人口社会学特征视角,以流动人口中的高学历人才为研究对象的尚少。高学历流动人才作为流动人口的组成部分,其人口社会学特征,如文化程度、年龄、随迁家庭情况显著不同于其他群体,为此,在充分梳理相关文献的基础上,从人口社会学特征视角,采用调查问卷和直接访谈方式,使用离散选择模型中的Logit回归方法,对高学历人才长期居留影响因素(包括性别、年龄、学历、配偶户籍地和随迁家庭情况)进行了综合分析,以期加深对高学历人群长期居留影响因素的认识,为政府制定相关政策提供理论依据。
[Abstract]:China's urban governments generally realize the importance of the influx of highly educated people to the development of the city and formulate a series of public policies to attract talents, but they do not have enough understanding of the factors that affect the long-term residence of highly educated people.Resulting in a lack of basis for policy formulation and ineffective.Many scholars at home and abroad have studied the factors that affect the long-term residence of the floating population, but from the perspective of the sociological characteristics of the population, few of them have taken the highly educated talents in the floating population as the object of study.As a part of the floating population, the highly educated floating talents, whose sociological characteristics, such as education level, age and family situation, are significantly different from other groups, therefore, on the basis of fully combing the relevant literature,From the perspective of sociological characteristics of demographics, using questionnaire and direct interview, using Logit regression method in discrete selection model, the factors influencing long-term residence of highly educated talents (including gender, age, educational background) were analyzed.In order to deepen the understanding of the factors affecting the long-term residence of the highly educated people and provide the theoretical basis for the government to formulate relevant policies.
【作者单位】：北京交通大学中国产业安全研究中心;大连理工大学公共管理与法学学院;哈尔滨工程大学经济管理学院;
【基金】：黑龙江省教育厅项目:基于政策制定视角的城市家庭固体废弃物管理的公众参与决策机制研究黑龙江省博士后科研启动基金(LBH-Q12128) 国家留学基金委项目:基于动态治理的城市政府生态责任研究黑龙江省学位与研究生教育教学改革研究(JGXM-HLJ-2012033) 国家自然科学基金(71101034)
【分类号】：C922

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