The Accurate Identification of College Students in Financial Hardship Based on Growth Background

An Shuting

doi:10.11648/j.ijsd.20170301.11

Abstract

Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. In this paper, in order to enhance efficiency and establish uniform standards in identifying the college students in financial hardship, an index system is proposed considering the background of students. This index system is used to measure his/her family wealth index and, applying the binary Logistic regression model, the validity of the indexes is examined. The TOPSIS model is then utilized for the estimation of the family wealth index, and the data from South-Central Minzu University is used to perform the empirical analysis. The results show that the accuracy rate is 71.43%, and the sensitivity analysis indicates that the proposed model is robust.

Highlights

Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education
From Tab. 4 we can know that: a) The family wealth indexes are in the interval of [31.45, 88.65], and have an obvious gradient, which shows that our model is suitable in identifying students in financial hardship. b) The students with minimum and maximum family wealth indexes are both in social science colleges, and the social science colleges have the largest standard deviation
These phenomenon indicate that the students in social science colleges have serious polarization in family wealth. c) The students with the maximum average and the minimum standard deviation of family wealth index are both in arts colleges, which shows that the family financial condition of students in arts colleges is relatively good and balanced, which accords with subjective cognition

Summary

Introduction

Funding college students in financial hardship is one of the most important works in the reform and development of Chinese higher education. The level of hardship will be adjusted according to the performance of students in every term Various methods, such as poor proof method, transverse comparison method, consumption level method, and low-income allowances methods are used to identify the eligible students [1]. According to the data from South-Central Minzu University (SCMZU), authors in [2] found that the family income has no significant influence when determining the students who should be gained the National Grants This phenomenon which violates the original intention of national policy showing that, as family income of single resident can be hardly obtained in China, the rationality and efficiency of identify the eligible students are greatly limited [3,4]. In [5,6,7] the family wealth index model were established, and the the family income of some developing countries were estimated by using different weighting methods, while in [8] the data from some provinces in China were investigated indicating that, using such variables (i. e. closely related to the income), the family income can be estimated and can reduce reduce the cost under the premise of ensuring accuracy

Objectives

Results

Conclusion