Gender effect on microfinance social efficiency: A robust nonparametric approach

Abstract The main objective of this study is to assess the impact of gender on microfinance social efficiency. Our methodology is based on nonparametric techniques to estimate the gender effect. We use a conditional directional free disposal hull (FDH) approach as well as its robust version of order- α ; we study the effect of the heterogeneity factor on the difference of conditional and non conditional inefficiencies as well as on the inefficiency level using a local linear regression and we test the significance of its effect using a wild double bootstrap procedure. Using a cross-country sample of 680 microfinance institutes (MFIs) in 2011 from six main regions of the world, our findings suggest that gender diversity has globally a positive impact on the microfinance social efficiency. However, the nature of the effect depends on the considered heterogeneity factor and we find that the boardroom gender diversity effect is linear, whereas the effect of the percentage of women loan officers is non linear (U-shaped on the difference of inefficiencies and inverted U-shaped on the inefficiency levels). We assess the robustness of our findings on various subsamples (global or regional scale, and also depending on the considered profit oriented status). Our findings reinforce the importance of the role played by women in MFI social efficiency.

[1]  Vathunyoo Sila,et al.  Women on Board: Does Boardroom Gender Diversity Affect Firm Risk? , 2016 .

[2]  Loretta J. Mester Measuring efficiency at U.S. banks: Accounting for heterogeneity is important , 1997 .

[3]  R. Rosenberg,et al.  Microfinance consensus guidelines : A guide to regulation and supervision of microfinance , 2011 .

[4]  Ali Emrouznejad,et al.  Social and financial efficiency of Islamic microfinance institutions:a Data Envelopment Analysis application , 2015 .

[5]  A. Szafarz,et al.  Microfinance and Gender: Issues, Challenges and The Road Ahead , 2017 .

[6]  M. C. Jensen,et al.  The Modern Industrial Revolution, Exit, and the Failure of Internal Control Systems , 1993, A Theory of the Firm.

[7]  C. W. Sealey,et al.  Inputs, Outputs, and a Theory of Production and Cost at Depository Financial Institutions , 1977 .

[8]  P. W. Wilson,et al.  Estimation and inference in two-stage, semi-parametric models of production processes , 2007 .

[9]  M. Conyon,et al.  Firm Performance and Boardroom Gender Diversity: A Quantile Regression Approach , 2017 .

[10]  J. Bos,et al.  Practice What You Preach: Microfinance Business Models and Operational Efficiency , 2015 .

[11]  J. W. B. Bos,et al.  Effects of heterogeneity on bank efficiency scores , 2009, Eur. J. Oper. Res..

[12]  Michael Adusei Board gender diversity and the technical efficiency of microfinance institutions: Does size matter? , 2019, International Review of Economics & Finance.

[13]  R. Lensink,et al.  Ownership and technical efficiency of microfinance institutions: Empirical evidence from Latin America , 2012 .

[14]  Cecilio Mar-Molinero,et al.  Social efficiency in microfinance institutions , 2009, J. Oper. Res. Soc..

[15]  Jeffrey S. Racine,et al.  Consistent Significance Testing for Nonparametric Regression , 1997 .

[16]  Robert Cull,et al.  Benchmarking the financial performance, growth, and outreach of greenfield MFIs in Africa , 2015 .

[17]  S. Terjesen,et al.  Women Directors on Corporate Boards: A Review and Research Agenda , 2009 .

[18]  Paul W. Wilson,et al.  Dimension reduction in nonparametric models of production , 2017, Eur. J. Oper. Res..

[19]  T. Coelli,et al.  The efficiency of microfinance in Vietnam: Evidence from NGO schemes in the north and the central regions , 2007 .

[20]  Qi Li,et al.  Nonparametric Econometrics: Theory and Practice , 2006 .

[21]  R. Lensink,et al.  Does microcredit increase aspirational hope? Evidence from a group lending scheme in Sierra Leone , 2020 .

[22]  Al-mouksit Akim,et al.  DEA and SFA research on the efficiency of microfinance institutions: A meta-analysis , 2018, World Development.

[23]  N. Fernando Micro Success Story?: Transformation of Nongovernment Organizations into Regulated Financial Institutions , 2005 .

[24]  R. Färe,et al.  Benefit and Distance Functions , 1996 .

[25]  Jay B. Barney,et al.  Special Theory Forum The Resource-Based Model of the Firm: Origins, Implications, and Prospects , 1991 .

[26]  Shakil Quayes,et al.  Do women borrowers augment financial performance of MFIs? , 2016 .

[27]  Léopold Simar,et al.  Directional distances and their robust versions: Computational and testing issues , 2013, Eur. J. Oper. Res..

[28]  H. O. Balli,et al.  Impact of gender and governance on microfinance efficiency , 2017 .

[29]  Léopold Simar,et al.  Advanced Robust and Nonparametric Methods in Efficiency Analysis: Methodology and Applications , 2007 .

[30]  Léopold Simar,et al.  Unobserved heterogeneity and endogeneity in nonparametric frontier estimation , 2016 .

[31]  Anastasia Cozarenco,et al.  Gender Biases in Bank Lending: Lessons from Microcredit in France , 2018 .

[32]  S. Sharma,et al.  Technical efficiency and its determinants in microfinance institutions in India: a firm level analysis , 2013 .

[33]  Bert D'espallier,et al.  Female leadership, performance, and governance in microfinance institutions. , 2014 .

[34]  Thorsten Beck,et al.  Gender and Banking: Are Women Better Loan Officers? , 2009 .

[35]  Martijn Cremers,et al.  Governance Mechanisms and Equity Prices , 2003 .

[36]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[37]  J. Copestake Mainstreaming Microfinance: Social Performance Management or Mission Drift? , 2007 .

[38]  Trond Randøy,et al.  Measuring Social Performance in Social Enterprises: A Global Study of Microfinance Institutions , 2020 .

[39]  H. T. Tchuigoua Performance of microfinance institutions: do board activity and governance ratings matter? , 2014 .

[40]  Léopold Simar,et al.  Detecting Outliers in Frontier Models: A Simple Approach , 2003 .

[41]  Jeffrey M. Wooldridge,et al.  Solutions Manual and Supplementary Materials for Econometric Analysis of Cross Section and Panel Data , 2003 .

[42]  Dean Karlan,et al.  Six Randomized Evaluations of Microcredit: Introduction and Further Steps † , 2015 .

[43]  Valentina Hartarska,et al.  Which Governance Mechanisms Promote Efficiency in Reaching Poor Clients? Evidence from Rated Microfinance Institutions , 2012 .

[44]  P. W. Wilson,et al.  Two-stage DEA: caveat emptor , 2011 .

[45]  M. Wijesiri,et al.  Efficiency of microfinance institutions in Sri Lanka: a two-stage double bootstrap DEA approach , 2015 .

[46]  J. Florens,et al.  Nonparametric frontier estimation: a robust approach , 2002 .

[47]  Allen N. Berger,et al.  Efficiency of financial institutions: International survey and directions for future research , 1997 .

[48]  Isabelle Guérin,et al.  Focus on Women in Microfinance Institutions , 2013 .

[49]  C. Molinero,et al.  Microfinance institutions and efficiency , 2007 .

[50]  Roy Mersland,et al.  Performance and governance in microfinance institutions , 2009 .

[51]  Léopold Simar,et al.  Probabilistic characterization of directional distances and their robust versions , 2012 .

[52]  Issouf Soumaré,et al.  Are microfinance institutions resilient to economic slowdown? Evidence from their capital ratio adjustment over the business cycle , 2020 .

[53]  C. Thomas-Agnan,et al.  NONPARAMETRIC FRONTIER ESTIMATION: A CONDITIONAL QUANTILE-BASED APPROACH , 2005, Econometric Theory.

[54]  Isabelle Piot-Lepetit,et al.  Financial sustainability and poverty outreach within a network of village banks in Cameroon: A multi-DEA approach , 2014, Eur. J. Oper. Res..

[55]  R. Lensink,et al.  Do Powerful CEOs Determine Microfinance Performance? , 2012 .

[56]  M. Wijesiri,et al.  Productivity change of microfinance institutions in Kenya: a bootstrap Malmquist approach , 2015 .

[57]  J. Morduch,et al.  Does Regulatory Supervision Curtail Microfinance Profitability and Outreach? , 2009 .

[58]  Léopold Simar,et al.  Fast and efficient computation of directional distance estimators , 2019, Ann. Oper. Res..

[59]  G. Debreu The Coefficient of Resource Utilization , 1951 .

[60]  M. Anjugam,et al.  Measuring the Efficiency of Sub‐Saharan Africa's Microfinance Institutions and its Drivers , 2013 .

[61]  R. Lensink,et al.  Loan Officers’ Gender and Microfinance Repayment Rates , 2015 .

[62]  Brad M. Barber,et al.  Boys Will Be Boys: Gender, Overconfidence, and Common Stock Investment , 1998 .

[63]  Cláudia S. Sarrico,et al.  Pitfalls and protocols in DEA , 2001, Eur. J. Oper. Res..

[64]  L. Simar,et al.  Nonparametric efficiency analysis: a multivariate conditional quantile approach , 2007 .

[65]  Ariane Szafarz,et al.  Microfinance and Gender: Is There a Glass Ceiling in Loan Size? , 2010 .

[66]  Elizabeth Palley,et al.  Women's participation in self-help groups as a pathway to women's empowerment: A case of Nepal , 2016 .

[67]  M. Hudon,et al.  Board Governance: Does Ownership Matter? , 2020 .

[68]  Haithem Nagati,et al.  Beyond gender diversity: How specific attributes of female directors affect earnings management , 2017 .

[69]  R. Färe,et al.  Efficiency and Productivity: Malmquist and More , 2008 .

[70]  Ariane Szafarz,et al.  Subjectivity in credit allocation to micro-entrepreneurs: evidence from Brazil , 2013 .

[71]  Bert D'espallier,et al.  From NGOs to banks: Does institutional transformation alter the business model of microfinance institutions? , 2017 .

[72]  Renée B. Adams,et al.  Bank Board Structure and Performance : Evidence for Large Bank Holding Companies , 2010 .

[73]  Erwin Bulte,et al.  Do Gender and Business Trainings Affect Business Outcomes? Experimental Evidence from Vietnam , 2017, Manag. Sci..

[74]  Mei Wen,et al.  Corporate governance and firm performance , 2005 .

[75]  Erwin H. Bulte,et al.  Gender training and female empowerment: Experimental evidence from Vietnam , 2016 .

[76]  Dean S. Karlan,et al.  Expanding Credit Access: Using Randomized Supply Decisions to Estimate the Impacts , 2007 .

[77]  R. Ullah Socio-Cultural and Economic Factors Affecting Women Political Participation in Dir District of Khyber Pakhtunkhwa , 2018 .

[78]  Renée B. Adams,et al.  Women in the Boardroom and Their Impact on Governance and Performance , 2008 .

[79]  Léopold Simar,et al.  How to measure the impact of environmental factors in a nonparametric production model , 2012, Eur. J. Oper. Res..

[80]  Janet A. Samuels,et al.  An Examination of the Association Between Gender and Reporting Intentions for Fraudulent Financial Reporting , 2009 .

[81]  A. Banerjee,et al.  The Miracle of Microfinance? Evidence from a Randomized Evaluation , 2013 .

[82]  Andréas Heinen,et al.  Competition, Loan Rates, and Information Dispersion in Nonprofit and For‐Profit Microcredit Markets , 2018 .

[83]  Leâ Opold Simar,et al.  A general methodology for bootstrapping in non-parametric frontier models , 2000 .

[84]  M. C. Jensen,et al.  Harvard Business School; SSRN; National Bureau of Economic Research (NBER); European Corporate Governance Institute (ECGI); Harvard University - Accounting & Control Unit , 1976 .

[85]  Rolf Färe,et al.  New directions : efficiency and productivity , 2004 .

[86]  Moez Bennouri,et al.  Female board directorship and firm performance: What really matters? , 2018 .

[87]  B. Armendáriz,et al.  The Economics of Microfinance , 2006 .

[88]  L. B. Cruz,et al.  Gender and Microfinance Performance: Why Does the Institutional Context Matter? , 2013 .

[89]  Léopold Simar,et al.  Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach , 2005 .

[90]  Sophie Brana,et al.  Microcredit: an answer to the gender problem in funding? , 2011, Small Business Economics.

[91]  Firm Resources and Sustained Competitive Advantage , 1991 .

[92]  F. Fall L’efficience technique des institutions de microfinance en zone UEMOA , 2018 .