家庭资本对大学生出国留学意愿的影响研究
The Influence of Family Capital on College Students'Willingness to Study Abroad
曾少芮1
作者信息
- 1. 中山火炬职业技术学院 健康产业学院,广东 中山 528400
- 折叠
摘要
近年来,"留学热"已经成为一种趋势,对大学生出国留学意愿的影响因素的分析对政府相关政策的制订、留学中介服务机构的发展以及大学生正确做出出国留学选择都具有重要的意义,家庭资本是影响大学生出国留学意愿的重要因素.本文主要研究家庭资本对大学生出国留学意愿的影响,依据北京Z高校2014年的调查数据,采用多因素分析方法,利用统计分析技术,通过对有出国留学意愿的大学生和没有出国留学意愿的大学生的比较发现,家庭在城市、非农业户口、父亲职业程度较高、母亲受教育程度较高、家庭收入较高的家庭中学生更有可能出国留学,体现了由"家庭资本"引起的"代际传递效益".因此,针对目前的出国留学热潮,政府要制订更加合理的政策,加大教育投入,尤其要对来自普通家庭、农村家庭的学生增加支持,使这些学生有更多机会走出国门,以进一步促进教育公平.
Abstract
In recent years,"craze interest in studying abroad"has become a trend,the analysis of the fac-tors influencing college students'willingness to study abroad is of great significance to the formulation of relevant government policies,the establishment and development of study intermediary service institu-tions and the college students to make a correct decision on study abroad,Family capital is an important fac-tor affecting the willingness of college students studying abroad.Based on the survey data of Beijing Z Uni-versity in 2014,this paper uses the method of multivariate analysis and statistical analysis technology.Through the college students who wish to study abroad and the students who do not have the intention to study abroad,this paper mainly studies the influence of family capital on the willingness of study abroad.The com-parison of the family found that the family in the city,non-agricultural accounts,the father of a higher de-gree of occupation,the mother is highly educated,higher family income students are more likely to study abroad,reflects the"family capital"caused by"intergenerational transmission benefit".Therefore,in view of the current study abroad,the government should formulate more reasonable policies to increase investment in education,especially for students from poor families and rural families,so that these students have more opportunities to go abroad and further promote educational equality.
关键词
大学生/出国留学意愿/家庭资本Key words
College Students/Willing of Studying Abroad/Family Capital引用本文复制引用
出版年
2024
NETL
NSTL
万方数据