农民个人信息世界的分化及其影响因素

发布时间：2018-02-14 11:56

本文关键词： 农民信息不平等信息分化个人信息世界基尼系数回归分析　出处：《图书馆论坛》2017年10期 　论文类型：期刊论文

【摘要】：文章以我国社会转型期农民的内部分化为背景,以"个人信息世界"概念架构和量表作为调查工具,考察农民的信息分化及其关联因素。首先,以基尼系数为工具计算样本个人信息世界得分分布基尼系数,并与同年农村居民收入分配基尼系数比较,结果显示:样本个人信息世界得分分布基尼系数大于同年收入分配基尼系数,说明样本群体内部存在较大的信息贫富差距。随后,重点展示以个人信息世界总分为因变量,以教育、收入、年龄、职业、性别作为自变量构建多元线性回归模型。最终的回归方程显示:教育、收入对个人信息世界得分具有积极影响,年长、女性和职业中的种养殖、务工、经商对个人信息世界有负面影响;从教育、收入、年龄以及职业分层看,农民的个人信息世界的确出现不同程度的分化。
[Abstract]:This paper takes the internal differentiation of peasants in the social transition period as the background, takes the concept structure and scale of "personal Information World" as the investigation tool, and examines the farmers' information differentiation and its related factors. Using the Gini coefficient as a tool to calculate the Gini coefficient in the world of personal information of the sample, and comparing it with the Gini coefficient of income distribution of rural residents in the same year, The results show that the Gini coefficient of personal information world score distribution is higher than that of income distribution Gini coefficient in the same year, which indicates that there is a large information gap between the rich and the poor within the sample population. Using education, income, age, occupation and sex as independent variables to construct a multivariate linear regression model. The final regression equation shows that education and income have a positive effect on the score of personal information world. In the view of education, income, age and occupational stratification, farmers' personal information world does appear to be divided in different degrees.
【作者单位】：北京赛富锐特科技有限公司;南开大学商学院;
【基金】：国家自然科学基金项目“信息不平等的发生机理和政策启示研究”(项目编号:71273141)研究成果
【分类号】：G201

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