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To enhance the loan repayment performance of microfinance institutions (MFIs) in Pakistan, this study aims to analyze the direct impact of social capital and loan credit terms on loan repayment performance and microenterprises’ business performance while considering the mediating role of microenterprises’ business performance on the relationship between social capital, loan credit terms and loan repayment performance.

The analysis was conducted based on the data gathered via a questionnaire distributed to 316 microenterprises owners. The respondents were selected using the stratified sampling technique by dividing the target population into three influential groups of manufacturing, trading and services microenterprises. The reliability and validity of the constructs were established using (1) factor loading, (2) Cronbach’s alpha, (3) composite reliability, (4) average variance extracted, (5) the variance inflation factor, (6) the Fornell–Larcker criterion and (7) the heterotrait–monotrait ratio. The structural equation modeling technique was then applied, and the hypotheses were tested based on the structure model generated through bootstrapping by using partial least squares structural equation modeling.

The results confirm the direct impact of social capital and loan credit terms on microenterprises’ business performance and loan repayment performance. It also supports the mediating role of microenterprises’ business performance toward the relationship between social capital, loan credit terms and loan repayment performance while considering the direct impact of microenterprises’ business performance on loan repayment performance.

To date, the direct impact of social capital and loan credit terms on microenterprises’ business performance and loan repayment performance has been hardly investigated in the context of Pakistan. This study also examines the mediating role of microenterprises’ business performance toward social capital, loan credit terms and loan repayment performance. The findings will enable both MFIs and microenterprises to improve their business performance and loan repayment performance through enhanced social ties and the development of more flexible credit products that protect the borrowers’ interests and the interest of lenders.

The purpose of this paper is to study the impact of financial management practices and competitive advantage on loan performance of microfinance institutions (MFIs).

In this cross-sectional study, the authors surveyed 70 MFIs in Kampala, Uganda. The authors applied principal component analysis to reduce the number of factors and identify the important elements that capture financial management practices, competitive advantage and loan performance of MFIs. The authors put forward and tested three hypotheses relating to the significance of the relationship between these three variables of MFIs using the statistical software package, SPSS and also apply the normal theory approach developed by Sobel (1982) and Baron and Kenny (1986) in testing the mediation by competitive advantage.

Robust financial management practices are associated with better loan performance of MFIs. Results also reveal a significant positive relationship between the competitive advantage of the MFIs and their loan performance. Furthermore, a significant positive relationship between competitive advantage and loan performance is found. Moreover results also show a full mediation effect of competitive advantage on the association of financial management practices and loan performance, implying that the association of financial management practices of the MFIs on their loan performance is entirely through their competitive advantage.

Although there is plenty of literature on loan performance, financial management practices and competitive advantage, there is scarce literature on their effective conceptualization. This together with the imprecise definition of competitive advantage may have affected conceptualization of the authors study. Thus, in this study, the authors do not claim highly refined measurement concepts. Moreover, many of the extant studies for instance have measured loan performance quantitatively, yet process factors which are inherently qualitative in nature can better explain variances in loan performance concept. More research is therefore needed to better refine qualitative concepts used in this study.

Efforts by the MFIs management to improve loan performance must be matched with adoption of financial management practices that provide MFIs with sustained competitive advantage over their rivals.

In order to explain loan performance of MFIs, and drawing from social economics, management and accounting strands, this study shows that assessing the role of competitive advantage in the relationship between financial management practices and loan performance is imperative. Also, many of the extant studies have measured loan performance quantitatively, yet process factors or antecedents which are inherently qualitative in nature can better explain variances in loan performance concept. Thus this study calls for the refinement of loan performance concept and accounting for endogeneity.

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.

This research investigates the influence of bank loans on Chinese listed companies’ performance by collecting data on bank loan amounts and indicators used to measure performance, such as return on assets (ROA) and Tobin’s Q, semiannually from 2015 to 2020. Pooling panel regression models are employed to determine the relationship between firms’ performance and their amount of bank loans. This study contributes to the literature by controlling for additional bank loan characteristics and comparing the relevance between bank loans and bond issuance. The authors also find that the relationship between firm performance and bank loans shows a nonlinear concave relationship, suggesting the negative impact is more severe in the high loan-to-asset region. The subsample after 2018 shows a significantly positive relationship, indicating that the impact of COVID-19 might alter the prevalent relationship. In addition, short-term debt has a more noticeable negative impact on firm performance than long-term debt. Both results become weaker after COVID-19. This chapter can help listed companies to trade off using long-term or short-term bank loans as their debt financing methods and approach a better capital structure.

Small-scale farmers in developing countries are undersupplied with capital. Although microfinance institutions (MFIs) have become well established in developing countries, they have not significantly extended their services to farmers. It is generally believed that this is partly due to the riskiness of lending to farmers. The purpose of this paper is to combine original data from a Madagascan MFI with weather data to estimate the effect of rainfall on the repayment performance of loans granted to farmers.

The basis of the empirical analysis is a unique data set of a commercial MFI in Madagascar and weather data provided by the German Meteorological Service. The repayment performance of loans granted to small-scale farmers is estimated using a two-step estimation approach based on linear probability models (LPMs) and a sequential logit model (SLM).

The results reveal that an excessive amount of rain in the harvest period of rice increases the credit risk of loans granted to small-scale farmers in Madagascar. Furthermore, the results confirm that credit features affect the repayment performance of loans.

Since the returns from weather index-based insurance (at least as a future contract) are perfectly correlated with weather events, the authors can set the effect of weather events on the repayment performance of loans equal to the effect of the returns of weather index-based insurance on the repayment performance of loans. Thus, the results imply that weather index-based insurance might have the potential to mitigate a certain part of the risk in agricultural lending.

The focus and results of the present study are very relevant for MFIs, potential providers of weather index-based insurances as well as for farmers. The results confirm that weather events are a primary reason for the risk perception of lenders in developing countries toward small-scale farmers. Future research should, hence, concentrate on the development of index-based insurances in agricultural lending and consider interventions on different levels, e.g., insurance on the farm and the bank level.

To the knowledge, this is the first study that combines original loan repayment data from a Madagascan MFI with weather data in order to estimate the effect of weather events on the repayment performance of loans granted to farmers. Furthermore, to the knowledge, this is the first study that uses a two-step estimation approach based on LPMs and a SLM to investigate the repayment performance in agricultural lending.

The intent of microfinance institutes (MFIs) in developing countries is to provide loans to very poor people in order to help them transform their lives. MFIs tend to receive subsidies; sustainability is being sought to free MFIs from non‐market dependencies. Sustainability is expected to be achieved with “best practices,” of which management with performance measures is a component. The purpose of this paper is to examine the use of performance measures by three Kenyan MFIs, which are classified as formal and client based, and likely to use rational and explicit performance measures. Clients in these MFIs are placed into self‐help groups with two responsibilities: to provide mutual support and advice to the borrowing client; and to provide the MFI with a guarantee that loans of group members will be repaid.

Based on a review of the economics and performance measurement systems literatures, research questions were developed along with an interview guide. Case studies were used to administer an interview guide which was distributed to the respondents prior to the face‐to‐face interviews.

The study concludes that MFIs have relatively well‐developed performance measures that support their particular businesses. There was a good balance between the use of financial and non‐financial performance measures. However, output measures were more commonly used than process measures. The nature of the MFIs suggests the importance of performance measurement. The managers of the MFIs are concerned with performance measurement, as expected within a bureaucracy, and a top‐down demand is present. In addition, group members or clients are interested in performance measurement as each member guarantees the loans of all fellow group members who have loans with the MFI. Thus, the customers exert a bottom‐up demand for performance measurement.

The findings support the view that performance measures are a means for managing MFIs and are a likely requirement for sustainability. Furthermore, the findings have identified performance measures (similar to those at banks) that are appropriate for the three MFIs in Kenya. The findings are important since the identified performance measures may be adopted by other evolving MFIs in this relatively new sector. In addition, the findings contribute to a better understanding of the genesis of the less popular results and determinants performance measurement framework of Fitzgerald et al.

In this study, the authors explore the effects of politically controlled boards on bank loan performance in both state-owned commercial banks (SCBs) and private sector commercial banks (PCBs) in Bangladesh.

The data consist of 409 bank-year observations from 46 sample SCBs and PCBs of Bangladesh for the period 2008–17. The authors apply ordinary least squares pooled regression with year fixed effect for baseline econometric analyses and generalized method of moments regression for robustness tests after addressing the endogeneity issue.

The regression results reveal that the presence of bank “boards controlled by politically affiliated directors” (PA) have significant positive effects on non-performing loans (NPLs). Similarly, the presence of “boards controlled by politically affiliated directors without substantial ownership interests” (PAWOI) show positive association with NPLs. In contrast, the presence of “boards controlled by politically affiliated directors with substantial ownership interests” (PAOI) exhibit an inverse relationship with NPLs. These findings support ‘agency conflict’ arguments and document that both PA and PAWOI are detrimental to bank loan performance in Bangladesh, while PAOI do not have significant effect on increasing NPLs.

This study contributes to the existing bank governance literature by providing evidence from an emerging economy perspective, where politically affiliated directors (PADs) exploit their positions for personal and/or political gain at the cost of other stakeholders by taking advantage of relaxed regulatory oversights and investor protections.

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.

Using data on 5,176 commercial banks in the USA for the period 1999Q1-2016Q3, the present study aims to examine the underlying determinants of loan charge-off rates.

The study uses panel data fixed-effects estimation methodology.

Greater regulatory capital, more diversification, higher profits and cost efficiency reduce charge-off rates. On the contrary, a higher share of loans in banks asset portfolio and a higher share of real estate loans have a detrimental impact on loan performance. Moreover, strong US macroeconomic fundamentals reduce loan charge-offs. Finally, real estate loan charge-offs are most sensitive to balance sheet conditions.

Consistent with Basel-III regulation, the results underscore the importance of banks to remain well capitalized. Greater tier-1 capital refrains banks from risky lending practices, thereby improving their loan performance. It is also important that banks maintain a diversified income stream and earn higher profitability. Finally, managerial inefficiencies leading to higher non-interest expense needs to be reduced to improve loan performance.

Although a burgeoning body of literature has examined the underlying factors that affect poor quality loans in both the USA and elsewhere, fewer studies have focused on loan performance. From the perspective of banking regulation and fostering banking stability, determining the factors that affect loan charge-offs is extremely crucial to identify channels through which loan performance is either worsened or improved. If we understand poor loan performance, we can use that knowledge to anticipate the possibility of bankruptcy.

With the ongoing transformation of the microfinance sector, questions have been raised on the ability of microfinance institutions (MFIs) to perform financially well without compromising with their social objectives. The current study attempts to analyse the social and financial performance of Indian MFIs with an objective to find the kind of relationship between these two objectives.

The dynamic framework of simultaneous equations model is used to find the nature of the relationship which exists between social and financial performance of Indian MFIs.

The study finds that depth of outreach enables MFIs to achieve financial sustainability. On the other hand, financially strong MFI lend more as reflected by an increase in their average loan size.

Many MFIs still receive subsidies to support their operations. Ideally, adjustments should be made to remove the effect of such subsidies on their cost. However, due to non-availability of data, the study fails to make any adjustment for the subsidies.

The presence of a complementary relationship between social and financial performance in the Indian microfinance sector is quite encouraging for the policymakers during the current time when the sector is becoming less dependent on subsidies. However, the recent upsurge in the average loan size requires attention.

The findings suggest that MFIs can achieve financial sustainability while targeting poor clients. This indicates that MFIs can perform socially good along with their financial performance.

Such study is vital when the Indian microfinance sector is moving away from subsidies to become self-reliant and commercialised. Few studies have focused on this aspect of Indian microfinance sector.