农民个人信息世界的分化及其影响因素

A Study of Individual's Information World of Peasants and Factors Affecting Information Divide

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。

Against the background of social differentiation of the rural society in China today, the aim of this research is to identify those factors which are affecting the information divide among the peasants. The Gini Coefficient of individual＇s information world scores of the sample group is compared with the Gini Coefficient of their income in the same year. Information inequality is evident in the sample. Multiple linear regression is then used for further analysis by taking individual＇s information world scores as the dependent variable while education,income,age,work nature,gender,etc.,as independent variables. It is found that education and income have positive impact on the scores while age,work nature,gender and other factors have negative effects.