Background:This study examined the determinants of loan repayment among microcredit finance group members in Delta State,Nigeria.Methods:To capture the determinants of loan repayment in the study area,a total of 48 mi...Background:This study examined the determinants of loan repayment among microcredit finance group members in Delta State,Nigeria.Methods:To capture the determinants of loan repayment in the study area,a total of 48 microcredit groups and 300 microcredit group members were randomly selected through a multi-stage random sampling technique.The study data was collected by questionnaire.Statistical tools such as simple descriptive statistics(table,frequency,percentage and mean)and a multiple regression analysis were used to examine the data.Results:The results indicate that females form a greater proportion of the study area microcredit group members at 70%,moreover 73%of the respondents have a household size of between 6 to 10 persons.These findings revealed that the groups had a mean 8 years of existence with a mean membership size of 13 persons.Further,an average interest rate of 40 percent per annum was charged on loans,with mean loan duration of 6 months.The regression’s result demonstrated that the determinants of the group member’s loan repayment included the group member’s age,household size,house income,and educational level,the amount of credit received,length of stay in their locality,distance to the credit source,supervision and disbursement lag.Conclusion:Therefore it was suggested that the various agricultural microcredit finance groups should carefully examine the significant determinants of loan repayment for the approach’s viability and sustainability and for optimum repayment performance.展开更多
Aiming at the problem that the asset’s fluctuation influences the borrower’s repayment ability,a loan with a new and flexible repayment method is designed,which depends on the asset value of the borrower.The repayme...Aiming at the problem that the asset’s fluctuation influences the borrower’s repayment ability,a loan with a new and flexible repayment method is designed,which depends on the asset value of the borrower.The repayment method can reduce the loan default probability,but it causes the uncertainty of the pay off time.Because the repayment term is related to the regular repayment amount in this method,a boundary for the regular repayment amount is set up in order to avoid too long repayment term.This will balance the benefit of borrowers and lenders and improve the applicability of this method.By establishing a mathematical model of the residual value of the loan,this model can be transformed into an initial-boundary problem of a partial differential equation.The analytic solution and the expected time to pay off the loan are obtained.Finally,numerical analysis are shown.展开更多
To find out graduates' repayment awareness of student loan,we conducted a questionnaire survey for those graduates who applied for student loan in Zhongkai University of Agriculture and Engineering.The survey has ...To find out graduates' repayment awareness of student loan,we conducted a questionnaire survey for those graduates who applied for student loan in Zhongkai University of Agriculture and Engineering.The survey has following results.First,the national student loan plays an important role in assisting poor students in finishing their study.Second,graduates value social function of personal credit.Third,trustworthiness education activities carried out by colleges and universities are effective.Fourth,economic income is a major factor of graduates repaying capital with interest.Fifth,bank's student loan management system is not perfect.Sixth,the national student loan system remains to be improved.In line with these results,we put forward five countermeasures and suggestions:strengthen the trustworthiness education of students;standardize the credit investigation management of students' personal credit;establish student information management mechanism;standardize banks' payment reminder administration behavior;and perfect national student loan system.展开更多
Between 2005 and 2007,the China Development Bank offered 1.66 billion yuan($237 million) worth of loans to 243,000 stu- dents from poor families in central China’s Henan Province.
The subject of this study is the microcredit market in the USA,more specifically in Florida.The justification for choosing this specific state is the massive presence of the Hispanic population.This will facilitate a ...The subject of this study is the microcredit market in the USA,more specifically in Florida.The justification for choosing this specific state is the massive presence of the Hispanic population.This will facilitate a generalization of the obtained results to the microcredit market in Latin American countries.Thus,the objective of this study is to analyze the profile of microcredit holders and their companies from socioeconomic and financial points of view.As our data also consider the degree of repayment of the microloans included in the sample,the clients’profile is related to the punctuality or default of their corresponding loan repayments using the methodology of multi-nomial logit regression.The variables used in this study refer to personal information concerning borrowers(gender,age,education level,and marital status),the economic situation of their respective companies(closeness to the lender,number of workers,and revenues),and the characteristics of granted loans(principal,term,and purpose).However,the results of the regression show that only two variables are significant at the 5%significance level:the borrower’s age,which has a positive effect on repay-ment punctuality,and the loan term,which exhibits a negative effect.The findings of this study have clear implications,as they can help lenders design suitable microloans adjusted to customer profiles.Finally,future research should include other demograph-ics and characteristics of affected companies.展开更多
文摘Background:This study examined the determinants of loan repayment among microcredit finance group members in Delta State,Nigeria.Methods:To capture the determinants of loan repayment in the study area,a total of 48 microcredit groups and 300 microcredit group members were randomly selected through a multi-stage random sampling technique.The study data was collected by questionnaire.Statistical tools such as simple descriptive statistics(table,frequency,percentage and mean)and a multiple regression analysis were used to examine the data.Results:The results indicate that females form a greater proportion of the study area microcredit group members at 70%,moreover 73%of the respondents have a household size of between 6 to 10 persons.These findings revealed that the groups had a mean 8 years of existence with a mean membership size of 13 persons.Further,an average interest rate of 40 percent per annum was charged on loans,with mean loan duration of 6 months.The regression’s result demonstrated that the determinants of the group member’s loan repayment included the group member’s age,household size,house income,and educational level,the amount of credit received,length of stay in their locality,distance to the credit source,supervision and disbursement lag.Conclusion:Therefore it was suggested that the various agricultural microcredit finance groups should carefully examine the significant determinants of loan repayment for the approach’s viability and sustainability and for optimum repayment performance.
基金supported by the National Natural Science Foundation of China(No.11671301).
文摘Aiming at the problem that the asset’s fluctuation influences the borrower’s repayment ability,a loan with a new and flexible repayment method is designed,which depends on the asset value of the borrower.The repayment method can reduce the loan default probability,but it causes the uncertainty of the pay off time.Because the repayment term is related to the regular repayment amount in this method,a boundary for the regular repayment amount is set up in order to avoid too long repayment term.This will balance the benefit of borrowers and lenders and improve the applicability of this method.By establishing a mathematical model of the residual value of the loan,this model can be transformed into an initial-boundary problem of a partial differential equation.The analytic solution and the expected time to pay off the loan are obtained.Finally,numerical analysis are shown.
文摘To find out graduates' repayment awareness of student loan,we conducted a questionnaire survey for those graduates who applied for student loan in Zhongkai University of Agriculture and Engineering.The survey has following results.First,the national student loan plays an important role in assisting poor students in finishing their study.Second,graduates value social function of personal credit.Third,trustworthiness education activities carried out by colleges and universities are effective.Fourth,economic income is a major factor of graduates repaying capital with interest.Fifth,bank's student loan management system is not perfect.Sixth,the national student loan system remains to be improved.In line with these results,we put forward five countermeasures and suggestions:strengthen the trustworthiness education of students;standardize the credit investigation management of students' personal credit;establish student information management mechanism;standardize banks' payment reminder administration behavior;and perfect national student loan system.
文摘Between 2005 and 2007,the China Development Bank offered 1.66 billion yuan($237 million) worth of loans to 243,000 stu- dents from poor families in central China’s Henan Province.
基金funded by the Spanish Ministry of Economy and Competitiveness,Grant No.DER2016-76053R.
文摘The subject of this study is the microcredit market in the USA,more specifically in Florida.The justification for choosing this specific state is the massive presence of the Hispanic population.This will facilitate a generalization of the obtained results to the microcredit market in Latin American countries.Thus,the objective of this study is to analyze the profile of microcredit holders and their companies from socioeconomic and financial points of view.As our data also consider the degree of repayment of the microloans included in the sample,the clients’profile is related to the punctuality or default of their corresponding loan repayments using the methodology of multi-nomial logit regression.The variables used in this study refer to personal information concerning borrowers(gender,age,education level,and marital status),the economic situation of their respective companies(closeness to the lender,number of workers,and revenues),and the characteristics of granted loans(principal,term,and purpose).However,the results of the regression show that only two variables are significant at the 5%significance level:the borrower’s age,which has a positive effect on repay-ment punctuality,and the loan term,which exhibits a negative effect.The findings of this study have clear implications,as they can help lenders design suitable microloans adjusted to customer profiles.Finally,future research should include other demograph-ics and characteristics of affected companies.
