摘要
由于中国的税收制度不完善,造成家庭收入与支出的准确信息较难获得。因而,认定高校贫困生的定量化研究成了难点。文章采用了九个非收支变量,即:家中主要经济来源、户口类型、贫困县、单亲、家中成员有患重病者、祖父母收入情况、家中上学人口数、家中欠债情况、家中有重大灾难情况,以此来估计家庭收入与支出状况,并利用这些变量构建了认定高校贫困生的模型。研究结果表明该模型是有效的、可行的,同时为我国高校贫困生的遴选提供了一个新的视角。
As China's tax system is not perfect, the accurate information of household income and expenditure is more difficult to get. Thus, the identification of poor students in colleges and universities has become difficult to quantitative research. In this paper, nine non-income variables, as follows, the main domestic source of income, registered residence, poverty-stricken counties, single parents, major disease, grandparents income, the population of the schooling, family indebtedness, major incident, are usedto estimate the family' s income and expenditure, and to identify poor students. The results show that the model is effective and feasible.
出处
《北京科技大学学报(社会科学版)》
2013年第1期89-93,共5页
Journal of University of Science and Technology Beijing(Social Sciences Edition)
基金
北京科技大学学生资助研究课题"教育部直属高校贫困生资助体系问题研究"
课题编号为00032005