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Table 2 Summary of findings on the impact of gender diversity on the performance of MFIs

From: A systematic review of gender diversity and its impact on the performance of Microfinance Institutions

 

Author/s

Gender Dimension

Estimator/ Tools Used

Financial Performance

Social Performance

    

Positive

Negative

Positive

Negative

1

Mersland and Strøm [80]

Board gender

Generalized least-squares method (GLS), random effect model, three-stage least-squares method

ROA, OSS, PY, OC

 

AL, Credit Client

 

2

Shettima and Dzolkarnaini [109]

Pooled OLS (POLS) and Fixed Effect Model (FEM)

 

ROA, ROE (Insignificant)

  

3

Mori [88]

Ordinary least squares (OLS)

Insignificant

   

4

Adusei [1]

DEA, Probit, logit, and GLM (generalized linear model)

 

Technical Efficiency

  

5

Gohar and Batool [45]

REM

Insignificant

 

AL

 

6

Hasan et al. [55]

OLS model

 

OSS

  

7

Thrikawala et al. [114]

OLS regression, FEM, and REM

ROA

OSS

  

8

Hartarska et al. [54]

Stochastic Frontier, FEM, REM

  

NOAB

 

9

Adusei, et al. [2]

FE test, Wald test, correlation test

 

ROA

  

10

Mori [89]

Seemingly Unrelated Regression (SUR)

  

NOFB

AL

11

Strøm et al. [112]

Probit regression, pooled OLS, REM

ROE, ROA

   

12

Olohunlana et al. [94]

Panel–spatial correlation consistent (PSCC) estimator technique

OSS

   

13

Boubacar [25]

FEM and REM

 

Cost Per Borrower increases

NOFB

 

Manager

 

Insignificant

 

NOFB

 

14

Vishwakarma [117]

Board gender

Pooled OLS, FEM, and REM

ROA

   

Manager

   

NOAB

 

15

Augustine et al. [13]

Board Gender

Robust OLS regression model

ROA

   

Loan Officer

  

OpExp

  

16

Fall et al. [38, 39]

Board Gender

Nonparametric conditional Free Disposal Hull

(FDH) approach, robust version of order-α

Efficiency

 

NOAB

 

Loan Officer

 

Efficiency

 

NOAB

 

17

Bibi et al. [22]

Loan Officer

Data Envelopment Analysis (DEA)

Efficiency

   

18

Pedrini [96]

Loan Officer

OLS regression model

ROE, OSS

   

19

Boehe and Cruz [23]

Board Gender

FEM

FSS

   

Manager

 

FSS

   

Loan Officer

 

FSS

   

20

Gudjonsson et al. [46]

Board Gender

The logit–tobit regression model

 

ROA

  

Manager

 

ROA

   

Loan Officer

 

ROA

   

21

Ghosh and Guha [44]

Board Gender

REM

 

Cost Per Borrower increases

NOFB

 

Manager

   

NOAB

 

Loan Officer

 

OSS, YGLP

   

22

Memon et al. [77]

Board Gender

OLS, FEM, REM, GMM, two-stage OLS

 

OSS

AL, NOAB

 

Manager

 

OSS Insignificant

 

AL, NOAB

 

Loan Officer

  

OSS

 

AL, NOAB

23

Mia et al. [85]

Board Gender

OLS, FEM, and REM

OSS

   

Manager

  

ROA, ROE, PM

  

Loan Officer

  

ROA, PM

  

24

Wale [118]

Board Gender

Static regression model (REM/FEM)

  

NOAB

AL

  1. ROA = Return on assets, ROE = return on equity, OSS = operational self-sufficiency, FSS = financial self-sufficiency, YGL = yield to gross loan, GLP = gross loan portfolio, PM = profit margin, Par30 = portfolio at risk > 30 days, OpExp: = operating expense, AL = average loan size, NOAB = number of active borrowers, NOFB = number of female borrowers, CPB = cost per borrower, FR = financial revenues, PY = portfolio yield, OC = Operational costs