2018
DOI: 10.1111/1759-3441.12233
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Microfinance Institution Performance: Does the Macroeconomy Matter?

Abstract: The performance of Microfinance Institutions (MFIs) has been compared at various levels for the purpose of replications and policy formulations. However, the potential effects of the macroeconomy on MFI performance are often not considered. We propose that understanding the possible effects of country-level factors on MFI performance can help provide a more accurate evaluation and explain where microfinance fits in the development process. Based on data collected on 1544 MFIs, merged with country-level macroe… Show more

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Cited by 5 publications
(5 citation statements)
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“…Since the main aim of MFIs is to service the poor to increase employment rate, a higher unemployment rate will most likely enhance the demand for various microfinance services. In this regard, Awaworyi Churchill et al (2018) also argued that the presence of a high unemployment rate will force people to establish their businesses and apply for loans from MFIs to promote their establishment. Therefore, a positive impact of unemployment rate on financial performance is anticipated in this study.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Since the main aim of MFIs is to service the poor to increase employment rate, a higher unemployment rate will most likely enhance the demand for various microfinance services. In this regard, Awaworyi Churchill et al (2018) also argued that the presence of a high unemployment rate will force people to establish their businesses and apply for loans from MFIs to promote their establishment. Therefore, a positive impact of unemployment rate on financial performance is anticipated in this study.…”
Section: Methodsmentioning
confidence: 99%
“…Therefore, a positive impact of unemployment rate on financial performance is anticipated in this study. The outcome of GDP growth can be explained in two ways: First, a high economic growth can increase the demand for microfinance services owing to the expansion of overall market and creation of new niche to support the overall growth of the economy (Awaworyi Churchill et al, 2018). Second, being an informal sector, the microfinance industry might grow and attain better financial performance in countries that are poor and less developed (Ahlin et al, 2011).…”
Section: Methodsmentioning
confidence: 99%
“…To examine the non-linear relationship, we have included the quadratic terms (ETR 2 ) of ETR in our model. In reference to several previous studies, the model was also controlled by organizational and macroeconomic factors due to their significant effect on various performance indicators of MFIs (Churchill et al , 2018; Chmelíková et al , 2019; Nyanzu et al , 2019).…”
Section: Methods and Datamentioning
confidence: 99%
“…, 2018; μ i is the time-invariant firm-specific effects; and ε i,j,t is the error term. The model was also controlled by several organizational and macroeconomic factors, in line with existing studies (Awaworyi Churchill et al, 2018;Nyanzu et al, 2019). In terms of organizational characteristics, we controlled our model by including the natural logarithm of the cost per borrower (LNCPB), proportion of female board members (FBM), natural logarithm of board of directors (LNBM), debt to equity ratio (DTE), natural logarithm of net fixed assets (LNFA), and portfolio at risk over 30 days (PAR30).…”
Section: Modeling Client's Loyaltymentioning
confidence: 99%