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Although microfinance had experienced rapid growth in most developing economies, multiple borrowing remains a growing concern for practitioners and researchers in recent years. Hence, the main purpose of the study is to evaluate the factors affecting multiple borrowing among microfinance clients.

The primary survey data of 400 microfinance clients from Bangladesh was collected to execute the research objective. Considering the types of dependent variable, this study employed logistics, probit, ordinary least squares (OLS) and Poisson regression techniques to analyze the data.

Among others, it was discovered that the expected (requested) loan amount is positively associated with multiple borrowing, while the level of training, small cattle farming business and marital status (widow/separated) exhibited negative effects under logistic regression. These results are robust with respect to the regression method, the specification and the definition of the outcome variable. Also, supply-side incentives (e.g. training) were found to partly influence the multiple-borrowing behavior of microfinance clients. These findings reiterate the contribution of both demand and supply-side factors to the multiple-borrowing behavior of clients. Consequently, policy implications and future research direction are advanced.

The authors have examined some individual-level characteristics as well as some supply-side incentives to better understand the underexplored issue of multiple-borrowing behavior among microfinance clients.

The purpose of this article is to examine the effects that dynamic incentives and the borrowing histories of clients of informal lending institutions have on loan repayment performance, in particular, the extent to which multiple borrowing and progressive lending affect the repayment of loans.

The paper uses a data set of 835 borrowers drawn from an informal lending institution in Tanzania. Descriptive analysis and econometric models are used to test the developed hypotheses.

Whereas clients with multiple loans are associated with poor loan repayment, progressive lending contributes to positive repayment outcomes. Multiple borrowers face increased debt levels and thereby an increased inability to meet their repayment obligations; in contrast, progressive lending by building up a lender–client relationship helps clients to obtain higher loans with a minimum amount of screening.

This was a cross-sectional study based on a sample of individual clients drawn from a single institution. However, since the majority of clients had also taken out loans with other financial institutions, the sample is considered to be representative.

A client’s past repayment performance and multiple loan history must be assessed so that multiple borrowing can be prevented and credit absorption capacity can be gauged more accurately. The repeated nature of the interactions and the threat to cut off any future lending (if loans are not repaid) can be exploited to overcome any information deficit.

This study was conducted in a context in which the degree of information sharing was low and institutional access to clients’ credit histories was limited. It contributes knowledge on how lenders minimise the risk flowing from the ex ante information gap and moral hazards arising from the ex post information gap.

To improve the loan repayment performance (LRP) of microfinance banks (MFBs) in Pakistan, this study aims to look at the direct impact of multiple borrowing (MB) on LRP and client-business performance (CBP), as well as the direct impact of CBP on LRP. The moderating function of pandemic factors in the relationship between MB and CBP, as well as the mediating effect of CBP in the association between MB and LRP, was also investigated in this study.

A questionnaire was used to obtain data from 531 lower-level workers of microfinance institutions (MFIs) for the study. The respondents were chosen using stratified sampling, which divided the target population into four influential groups: lending officers in agriculture, lending officers in businesses, lending officers in gold loans and lending officers in salary loans. In this study, a two-stage structural equation modeling approach was used, including a measurement model (outer model) and a structural model (inner model). The validity and reliability of the questionnaire were investigated using the measurement model (outer model), whereas PLS-SEM bootstrapping was performed to test the hypothesis and find the relationship among different underpinning constructs by using the structural model (inner model).

The outcomes of this study demonstrate that MB has a direct impact on CBP, and that CBP has a direct impact on LRP. MB, on the contrary, had no direct and significant impact on LRP in this study. The idea that CBP mediates the relationship between MB and LRP, as well as the moderating effect of pandemic factors on the relationship between MB and CBP, is supported by this research.

Until now, the influence of MB on LRP via the mediating role of CBP and the moderating role of a pandemic factor in the setting of Pakistani MFBs has received little attention. During the COVID-19 pandemic, this research also aids MFBs in better understanding MB and its impact on LRP. Furthermore, based on the findings of this study, Pakistani MFIs can enhance their LRP by implementing new lending regulations, particularly with reference to MB and the COVID-19 pandemic.

Despite being a Muslim-dominated country, Bangladesh has widely embraced traditional microfinance since its inception in the mid-1970s. However, Islamic microfinance, which has a lot to offer to the poor, is still in its infancy and has yet to gain momentum in the country. Therefore, the purpose of this study is to analyze the importance of Islamic microfinance and propose alternative Shariah-compliant microfinance models in Bangladesh.

This study is based on the desk research method, which relies on existing literature to collect secondary data on key concerns of traditional microfinance programs. In addition, institutional-level secondary data were also collected from the Microcredit Regulatory Authority (MRA) of Bangladesh. Guided by the Maqasid-al-Shariah, this study then proposes several Islamic microfinance models to overcome selected challenges faced by the microfinance industry in Bangladesh.

This study suggested three composite Shariah-compliant microfinance models, which are likely to help the underprivileged and thus ensure the achievement of the sustainable development goals in Bangladesh. The first model explained how the operational strategy of incumbent microfinance institutions (MFIs) could be restructured, while the second proposed the organizational strategies for establishing a new MFI. The third model used the notion of Sadaqah (charity) to address the multiple borrowing issues of the industry. Meanwhile, the successful transformation of the conventional microfinance industry to an Islamic one is dependent on the effective collaboration between the regulatory authorities, practitioners and MFIs.

Albeit the paucity of literature on the topic, the findings of this study will guide policymakers/practitioners in designing relevant microfinance models to help transform conventional microfinance into Islamic microfinance in Bangladesh.

According to the published report by the National Sample Survey 2014 the data says that the incidence of indebtedness among households in the rural areas of Maharashtra, India, is almost twice that of other rural places in India. Around 64 percent of rural households are indebted in Maharashtra as against 31 percent other households in India. The purpose of this paper is to examine which source of credit is creating more distress among the farmers. Further the researchers also wanted to find out the reasons why the farmers choose private moneylender over the formal financial institutions.

To achieve the objective, the authors used the mixed method methodology. The qualitative study was done using the ethnography approach .In depth interviews were conducted and coded accordingly to find out the themes. The interviews conducted were semi structured and had open ended questions in it, followed by a structured questionnaire. Different statistical tests were also applied on the responses obtained from the questionnaire to check the reliability and validity of the interviews. This methodology gave a robustness to the findings of the study.

The results show that sources of loan play a major role in causing farmer distress in Maharashtra. The findings also show major reasons like grapevine bureaucracy, lengthy documentation, etc. as the major reasons for choosing private lenders over the formal financial institutions. The most interesting finding of the study was a phenomena observed during the field study. The borrowers first borrow from financial institutions for their credit needs, when they fail to repay the debt borrowed they again borrow money from the private money lenders and with this borrowed money they try repaying a part of the old existing loan in order to make themselves eligible for the next loan cycle.

The limitation of the study is that due to time constraint only two districts with high number of farmer suicide could be visited. Given more time and fund a comparative study can be done among different states of India.

This study will help the policy makers in identifying the real cause of farmer distress. The motive behind the policies made by the government is very noble but the implementation of these policies is inadequate and without a strong research base. The paper will be able to highlight how much the state intervention is required at multiple levels in order to ensure that the benefits reaches to those who deserve it.

It is imperative that we have yet not realized the gravity of the situation where people belonging from a community which is so essential to the economy are killing themselves because of lack of money. This is not just about the fact that the people who give us food are unable to access food themselves.

The paper contains significant information with regard to indebtedness. It focuses on the issue troubling the authorities the most. It provides the ground realities of the incidence of indebtedness in Maharashtra, one of the most distressed states of India. Lot of studies have been done in the past but very few studies have used mixed methodology to study this incidence of debt among the farmers of Maharashtra. This study also unveils a new phenomena of borrowing happening among the farmers of Maharashtra.

This study aims to examine whether lenders’ power and other attributes influence corporate social responsibility (CSR) reporting in Bangladesh.

This study uses content analysis to examine specific CSR-related attributes from 115 publicly listed firms in Bangladesh. By using various attributes of social and environmental reporting a disclosure index is also constructed. This study uses an Ordinary Lease Square Regression analysis to examine the relationship between stakeholders’ power and CSR reporting.

The finding is that lenders’ power, or the extent of borrowing, does not influence CSR exposure. However, lenders’ cost of monitoring and ability to monitor significantly and positively influence CSR exposure.

This study is subject to some limitations, such as the subjectivity or judgement associated in the coding process.

The implication of this study is that, when multiple borrowing creates “claim-dilution” problems, lenders are found to influence CSR activity.

This study also supports the stakeholder theory and contributes to the literature on the practices of CSR reporting in the context of developing countries.

This study investigates the borrowing behaviour of public sector employees in Malaysia by focusing on religious belief and psychological factors. The first objective of the study is to examine the differences in the borrowing behaviour according to demographic and socioeconomic factors of the civil servants. The second objective of the study is to investigate the influence of religious belief, excessive consumption, materialism and financial literacy towards two aspects of borrowing behaviour: personal loans and credit card usage.

Primary data was collected using a digital survey which was distributed using a convenience sampling approach to public sector employees working in Putrajaya and Kuala Lumpur, Malaysia. A sample of 340 public sector employees was obtained for analysis.

The study found that civil servants of different education backgrounds and income levels tend to differ in their borrowing behaviour. Specifically, those with lower levels of education, or lower income levels, tend to have a higher tendency of borrowing through personal loans. Multiple regression analyses reveal that public sector employees with either higher religious belief or higher financial literacy have a lower tendency of borrowing either through credit cards or personal loans. However, those who spend excessively or those who have higher levels of materialism tend to display more aggressive borrowing behaviour in terms of credit card usage and personal loans.

The study contributes to the literature by exploring the role of religious belief on borrowing behaviour. In addition, the study contributes to the literature by examining a specific group in the Malaysian society, i.e. public sector employees, due to the perturbing state of indebtedness among civil servants in Malaysia.

The purpose of this paper is to develop an effective cost borrowing model of qualitative factors that are relevant to micro and small enterprises (SMEs) better performance.

A valid research instrument was utilized to conduct a survey on 359 SMEs (131 retail businesses, 125 service businesses, 48 farming businesses and 55 other businesses) and 897 respondents that are representative of 397 SMEs and 1,087 respondents. Correlation and regression analysis were conducted to ascertain the validity of the hypotheses.

It was established that cost of borrowing elements (interest rate and loan processing costs) are associated with SME performance. Furthermore, cost of borrowing as a whole accounts for 31.1 percent of the variation in performance Uganda’s SMEs.

Only a single research methodological approach was employed, future research through interviews could be undertaken to triangulate. Multiple respondents in SMEs (owner, manager and cashier) were studied neglecting others. Furthermore, the study used the cross-sectional approach – a longitudinal approach should be employed to study the trend over years. Finally, cost of borrowing was studied and by the virtual of the results, there are other factors that contribute to SME performance that were not part of this study.

There is need to intensify initiatives to encourage greater understanding and acceptance of cost of borrowing, select appropriate elements that includes interest rate and loan processing costs in order to have affordable source of financing to establish and grow SMEs, provide employment, competitive and contribute to countries GDP.

This is the first paper in Sub-Saharan Africa to test empirically the relationship between cost of borrowing and performance of SMEs in the Ugandan context.

The present research explores capital requirement models used in medium‐size, private construction firms. The decision‐maker of a contracting firm can implement a cash flow forecasting model as an early warning system by using a model to identify likely cash‐flow problems in advance of the occurrence of these difficulties. Arrangements for acquiring any needed funds from other sources can then be made to avoid the possibility of financial problems in the corporation. In the present research, a model for financial decisionmaking is developed which, as demonstrated in a case study, provides a method of solving borrowing decision problems. The model includes the ability to evaluate qualitative and fuzzy circumstances. The model also assists in the selection of sources of funding, taking into consideration the capital structure ratio, the period of cash requirements, the borrowing limits and the tax conditions of the firm. The purpose of the model is to provide the decision‐maker with a tool kit to analyse her/his financial options.

The purpose of this paper is to estimate the effectiveness of the credit evaluation system using the borrowing data from China’s leading P2P lending platform, Renrendai.com.

The current credit valuation systems are classified into the forward-looking mechanism, which judges the borrowers’ credit levels based on their uploaded information, and the backward-looking mechanism, which judges the borrowers’ credit levels based on their historical repayment performance. Probit models and Tobit models are used to examine the effectiveness of credit evaluation mechanisms.

The results show that only the “hard” information reflecting borrowers’ credit ability can explain the default risk on the platform under the forward-looking credit evaluation mechanism. The backward-looking credit evaluation mechanism (BCEM) based on the repeated borrowings produces both promise-enhancing and “fishing” incentives and thus fails to explain the default risk, and weakens the effectiveness of forward-looking credit indicators in explaining the default risk because it encourages borrowers to invest in forging forward-looking credit indicators. Additional information such as the interest rate and the repayment periods reveals borrowers’ credit and thus can also be used as a predictor of borrowers’ default risk.

The findings suggest that current ex ante screening based on the information collected from the borrowers or repeated borrowings is inadequate to control the default risk in P2P lending markets and thus needs be improved. Ex post monitoring and sharing on defaulter’s information should be strengthened to increase the default cost and thus to deter potential bad borrowers.

To the authors’ knowledge, this is the first paper classifying the credit evaluation system in online P2P lending market into the forward-looking type and the backward-looking type, which is important since they provide different incentives to borrowers. The paper also investigates and provides evidence on the promise-enhancing and “fishing” incentives of BCEMs.