The Accurate Identification of College Students in Financial Hardship Based on Growth Background
An Shuting,
Chen Yuxin,
Dai Wanping
Issue:
Volume 3, Issue 1, March 2017
Pages:
1-6
Received:
16 March 2017
Accepted:
23 March 2017
Published:
14 April 2017
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.
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...
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Statistical Analysis of Determinants of Credit Loan Payment in Arba Minch Town, Ethiopia Using Logistic Regression Model
Belayneh Debasu Kelkay,
Zelalem Esubalew
Issue:
Volume 3, Issue 1, March 2017
Pages:
7-12
Received:
15 November 2016
Accepted:
23 February 2017
Published:
26 April 2017
Abstract: Ethiopia has one of the fastest-growing economies in the world and is Africa’s second most populous country (IFC, 2012). In developing countries, like Ethiopia, financial resource is important input for continuous development. Most of the peoples living in under poverty line need wide range financial services for consumption, running their business and building assets. Due to lack of collateral, poor people in most cases have no credit access from Banks. Microfinance offers financial service such as loan, savings and micro insurance to the poor people either in individual or in a group basis to those people. The objective of this study isto investigate the factor that affects credit loan payment performance of urban people in ArbaMinchSeachasubcity. For this study the researcher would be used stratified sampling for proportional allocation because this study concerned on strata level.From 15336 total people live in this sub-town a sample of 95 person were randomly selected. The estimation results of the descriptive statistics and the logistic regression model show that age,sex, level of education, family size,attitude,awareness and number of times borrowed are important and significant factors that enhance using of credit loan activity. And the other variable is not significant factors that improve using of credit loan action like, marital status and religious.
Abstract: Ethiopia has one of the fastest-growing economies in the world and is Africa’s second most populous country (IFC, 2012). In developing countries, like Ethiopia, financial resource is important input for continuous development. Most of the peoples living in under poverty line need wide range financial services for consumption, running their business...
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