Estimating Determinants of Borrowing: Evidence from Greece

Pastrapa, Eleni; Apostolopoulos, Constantinos

doi:10.1007/s10834-014-9393-4

Cited by 10 publications

(8 citation statements)

References 46 publications

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“…Education is one such factor that bears a positive relationship with demand for formal credit in these metro cities Education enables women to make more prudent financial choices and better utilization of formal institutional services (Ghosh and Vinod, 2017). In contrast, many authors who reported household ownership as an important determinant for the demand for formal credit (Crook, 2001; Nguyen, 2007; Pastrapa and Apostolopoulos, 2015), this paper found household ownership as statistically insignificant. Possibly, due to the patrilineal system in India, a large proportion of women are seen excluded from property rights.…”

Section: Discussioncontrasting

confidence: 93%

“…However, with age (squared) the probability to take out a loan decreases by 3% in Delhi. Theoretical evidence also suggests a positive impact of age on demand for credit (Crook, 2001; Nguyen, 2007; Pastrapa and Apostolopoulos, 2015). However, as per the Modigliani Life-Cycle hypothesis (Ando and Modigliani, 1963; Deaton, 2005), the nature of consumption varies with age, as age progresses people tend to become more risk-averse and are less likely to borrow.…”

Section: Results and Analysismentioning

confidence: 99%

“…Further, with the increase in household members the level of consumption increases, which is likely to raise the demand for credit (Malapit, 2012). Household income is linked with the demand for credit and some authors who have reported a decrease in demand for credit with an increase in income (Pastrapa and Apostolopoulos, 2015). Though being employed does not affect the demand for loans for men, but it is expected to reduce the demand for loans by women (Malapit, 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

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Formal vs informal demand for credit by women in urban India: a comparative study in slums of Delhi and Mumbai

Malik

Maheshwari

Singh

2020

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Purpose Over the period, the role of finance has emerged significant in the socio-economic development of the women. There are two major types of finances, i.e. formal and informal ones. Thus, the purpose of this paper is to investigate first the determinants of the demand for credit and then the demand for these credit sources by women especially in urban slums. Design/methodology/approach In this study, a primary survey was conducted with the help of a structured questionnaire in slums of two major urban cities in India, i.e. Delhi and Mumbai. In total, 450 individuals were interviewed in each city. Findings This paper presents a range of significant socio-economic factors affecting the demand for credit and source of credit by women borrower in Delhi and Mumbai. Despite, the greater emphasis by the government to increase the formal credit utilization, the informal credit is still preferred. Practical implications The outcomes of the study are expectedly useful to various policymakers and banks in encouraging women to opt more for the formal credit. The government can follow the research outcomes to scale up the programmes and schemes targeted for women empowerment in urban slums. Originality/value The study is unique of its kind in doing a comparative analysis in slums of two differently located urban cities with large slum population.

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Section: Discussioncontrasting

confidence: 93%

Section: Results and Analysismentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Formal vs informal demand for credit by women in urban India: a comparative study in slums of Delhi and Mumbai

Malik

Maheshwari

Singh

2020

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“…Ana Del-Río and Garry Young [10] dựa trên khảo sát về các yếu tố quyến định và phân phối nợ của Ban hội thẩm hộ gia đình Anh đã thực hiện phân tích và cho thấy các yếu tố có ý nghĩa thống kê là thu nhập, triển vọng kinh tế, trình độ, tình trạng công việc, tình trạng nhà ở và lãi suất. E. Pastrapa and C. Apostolopoulos [11] trong nghiên cứu về ước tính các yếu tố ảnh hưởng đến quyết định đi vay chỉ ra rằng độ tuổi, tình trạng hôn nhân, quyền sở hữu nhà và số lượng thẻ tín dụng ảnh hưởng đến việc vay vốn của các hộ gia đình ở Đông Bắc Hi Lạp. Một nghiên cứu khác về các yếu tố ảnh hưởng đến quyết định vay vốn tại Hi Lạp, sau khi thực hiện phân tích hồi quy, Christos C. Frangos et al [12] đã đưa ra kết luận có 4 yếu tố ảnh hưởng đến quyết định là tình trạng hôn nhân, dịch vụ khách hàng, chính sách cho vay và lãi suất.…”

Section: Tổng Quan Nghiên Cứuunclassified

Factors Influencing Customer’s Unscured Borrowing Decisions at Financial Companies in Tra Vinh City, Tra Vinh Province, Vietnam

Ngoc

Tung

2022

tvujs

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This case study investigates the factors influencing customers’ unsecured loan decisions at financial institutions in Tra Vinh City. By collecting primary data from 224 customers in need of loans in Tra Vinh City and usingquantitative data analysis methods, the study discovered five factors influencing customers’ unsecured loan decisions at financial institutions in Tra Vinh City: service quality, lending policy, consumer behavior, financial situation, and subjective standards, respectively. The authors propose policy implications based on the researchfindings to improve credit quality in Tra Vinh City.

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“…Los 2 Para más detalles sobre los determinantes del crédito al consumidor véase Vandone (2009). 3 Para una detallada revisión de literatura véase por ejemplo, Vandone (2009), Pastrapa y Apostolopoulos (2015) y las referencias allí mencionadas. resultados sugieren que la riqueza neta, la distancia a la cooperativa y al banco, la educación (número de matriculados en el hogar), si el jefe del hogar trabaja como agricultor por cuenta propia, los salarios y el precio del producto son determinantes importantes de la decisión de pedir prestado.…”

Section: Revisión De Literaturaunclassified

Determinantes del acceso al crédito formal e informal : evidencia de los hogares de ingresos medios y bajos en Colombia

Iregui-Bohórquez¹,

Melo-Becerra²,

Ramírez-Giraldo³

et al. 2016

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Este documento proporciona evidencia empírica sobre los determinantes de la probabilidad de que un hogar tenga crédito, con el sector formal o informal, tanto en zonas urbanas como rurales, para lo cual se utiliza información de la Encuesta Longitudinal Colombiana de la Universidad de los Andes. También, se analizan los posibles factores que afectan la probabilidad de que los hogares se encuentren atrasados en el pago de sus créditos. Los resultados indican que la probabilidad de que un hogar tenga crédito está relacionada positivamente con el hecho de que el jefe del hogar esté casado, con el nivel educativo, el nivel de ingreso, el tamaño del hogar, la propiedad de la vivienda y la participación laboral. En particular, las estimaciones indican que el ingreso y la educación tienen una correlación positiva con la probabilidad de tener crédito formal y negativa con la probabilidad de tener crédito informal. Finalmente, los choques que tienen un efecto directo sobre el ingreso de las familias y eventos inesperados aumentan la probabilidad de estar en mora.Palabras clave: Deuda de los hogares, crédito formal, crédito informal, mora, Colombia Clasificación JEL: C25, G21, D12, R22 * Las autoras pertenecen a la Unidad de Investigaciones de la Gerencia Técnica del Banco de la República. Agradecemos a Paula Zamora y Alejandro Herrera por su labor como asistentes de investigación durante el desarrollo de este proyecto. Las opiniones expresadas aquí son responsabilidad de las autoras y no reflejan necesariamente las opiniones del Banco de la República ni de su Junta Directiva. AbstractThe objective of this paper is to provide empirical evidences on the determinants of household credit, formal or informal, in both urban and rural areas, using data from the Encuesta Longitudinal Colombiana de la Universidad de los Andes. Also, we analyze the possible factors that affect the likelihood that a household is in arrears. Results from Logit estimations indicate that the probability that a household has credit is positively related to the fact that the head of household is married, with the educational level, income level, household size, the home ownership and labor market participation. In particular, estimates indicate that income and education are positively correlated with the probability of having a formal credit and negatively related with the likelihood of having informal credit. Finally, shocks that have a direct impact on household income and unexpected events increase the probability of credit default.

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Estimating Determinants of Borrowing: Evidence from Greece

Cited by 10 publications

References 46 publications

Formal vs informal demand for credit by women in urban India: a comparative study in slums of Delhi and Mumbai

Formal vs informal demand for credit by women in urban India: a comparative study in slums of Delhi and Mumbai

Factors Influencing Customer’s Unscured Borrowing Decisions at Financial Companies in Tra Vinh City, Tra Vinh Province, Vietnam

Determinantes del acceso al crédito formal e informal : evidencia de los hogares de ingresos medios y bajos en Colombia

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