Artikel

Efficiencies of faith and secular microfinance institutions in regions of Asia, Africa, and Latin America: A two-stage dual efficiency bootstrap DEA approach

Purpose: the objective is to measure the financial and social performance of 127 microfinance institutions (MFIs) and observe the effects with explanatory factors such as 'type', 'geography region', and 'secular and faith' variables. Design/methodology/approach: The time-series performance analysis of microfinance institutions is determined in two stages. In the first stage, both the social and financial efficiencies are measured with Data Envelopment Analysis (DEA) approach. The two explanatory factors along with faith and secular variables show the effect on these determined efficiencies by the second stage of the Tobit regression Random effect Model. Findings: Financial performance is greater than the social performance from the first stage analysis. When considering the explanatory variables, the social performances are not significant with religious factors. When the regression is performed in a group, the financial score is more significant with religious and other explanatory variables. Faith-based and secular-based microfinance institutions are strongly significant if the performances (efficiencies) are highly maintained. Originality/Value: faith and secular variables are identified based on the background/history information of each microfinance institution (MFI).

Language
Englisch

Bibliographic citation
Journal: Economies ; ISSN: 2227-7099 ; Volume: 10 ; Year: 2022 ; Issue: 3 ; Pages: 1-12 ; Basel: MDPI

Classification
Wirtschaft
Subject
DEA-approach
non-parametric
Tobit
random-effect
religion
conventional
time-series
efficiency performance
microfinance
region

Event
Geistige Schöpfung
(who)
Kolloju, Adithya Kiran
Meoli, Michele
Event
Veröffentlichung
(who)
MDPI
(where)
Basel
(when)
2022

DOI
doi:10.3390/economies10030066
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Kolloju, Adithya Kiran
  • Meoli, Michele
  • MDPI

Time of origin

  • 2022

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