2015
DOI: 10.1007/s11135-015-0205-1
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Quality, quantity and financial sustainability of microfinance: Does resource allocation matter?

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Cited by 25 publications
(16 citation statements)
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References 32 publications
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“…Microfinance operations are labour intensive in nature and requires large number of employees to run the programs (Mia et al 2015). Not only that these employees collect loan installments from village to village, but also collect tiny savings from their depositors.…”
Section: Dependent and Independent Variablesmentioning
confidence: 99%
“…Microfinance operations are labour intensive in nature and requires large number of employees to run the programs (Mia et al 2015). Not only that these employees collect loan installments from village to village, but also collect tiny savings from their depositors.…”
Section: Dependent and Independent Variablesmentioning
confidence: 99%
“…Based on previous research, there are various aspects involved in achieving IMFI sustainability. These include financial, social and spiritual intermediation (Wediawati, Effendi, Herwany, & Masyita, 2018), the implementation of good governance to maintain the financial sustainability of IMFIs and minimise the various risks that exist (Kassim, Hassan, & Kassim, 2018), organisational and social performance (Bouljelbene & Fersi, 2016), a solid overall performance in order to sustain the institution financially and operationally as well as ensure progress and growth (Ascarya, 2014), the financing structure in place (Bayai & Ikhide, 2016), outreach to the poor (Kipesha & Zhang, 2013), greater capital intensity and a higher number of employees (Mia, Nasrin, & Cheng, 2016), monitoring cost, regulation and supervision (Nabi & Zouari, 2013), social capital and spiritual wellbeing (Rahman, Al Smady, & Kazemian, 2015), and service quality (Nurfadilah, Samidi, & Subagja, 2018).…”
Section: Previous Studymentioning
confidence: 99%
“…Table 2 shows evidence of multicollinearity between some of the independent variables, which is an issue associated with panel data models. [33] To overcome the multicollinearity among the explanatory variables of ALOS and BTR, and among the control variables of BED, ADM, and PD and their possible effects, they are separately introduced in the generalized method of moments (GMM) estimation. Hence, to investigate the determinants of BOR, the following static panel data model is considered:…”
Section: Specification Of Variablesmentioning
confidence: 99%