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The purpose of this paper was to investigate the impact of credit risk-taking on financial and social efficiency and examine the relationship between credit risk, capital structure and efficiency in the context of Islamic microfinance institutions (MFIs) compared to their conventional counterparts.

The stochastic frontier approach was used to estimate the financial and social efficiency scores, in a first step. In a second step, the impact of risk-taking on efficiency was evaluated. The authors also took into account the moderating role of capital structure in this effect using the fixed and random effects generalized least squares (GLS) with a first-order autoregressive disturbance. The used dataset covers 326 conventional MFIs and 57 Islamic MFIs in six different regions of the world over the period of 2005–2015.

The overall average efficiency scores are less than 50%, where CMFIs could have produced their outputs using 48% of their actual inputs. IMFIs record the lowest financial (cost) efficiency that is equal to 28% on average. The estimation results also reveal a negative impact of nonperforming loan on financial and social efficiency. Finally, the moderating effect of leverage funding on the relationship between credit risk-taking and financial efficiency was confirmed in CMFIs. However, leverage seems to moderate the effect of risk-taking behavior on social efficiency for IMFIs.

This paper makes an initial attempt to evaluate the effect of risk-taking decision and its implication on efficiency and MFIs' sustainability. Besides, it takes into consideration the role played by the mode of governance through the ownership structure. In addition, this research study sheds light on the importance of the financial support for the development and sustainability of these institutions, which in return, contributes to a sustainable economic development.

The purpose of this paper is to evaluate the performance of Microfinance Institutions (MFIs) offering FinTech services. This study contributes to the existing literature on microfinance digitalization, financial inclusion and sustainable development. The study also takes into consideration a behavioral perspective through the efficiency evaluation process of MFIs offering FinTech services.

The following study employs the Stochastic Frontier Analysis approach to estimate the operational and social efficiency scores of the 387 MFIs over the period 2005–2019. Then, it tries to consider factors influencing MFIs' efficiency and assess their effects. Hence, two separate models for operation and social efficiency introducing a set of factors, including FinTech proxies and overconfidence proxies, are tested. The first model for operational efficiency uses a random-effects estimator while the second one for social efficiency uses a fixed-effects estimator.

The results show that innovative MFIs have weaker averages of operational efficiency than non-innovative ones but higher averages of social efficiency. This was justified by the fact that innovative MFIs are more socially oriented. Further, findings of this study depict that the proxies of FinTech affect negatively the level of operational efficiency of MFIs. They also depict a negative relationship between FinTech proxies and the level of social efficiency. These results hold through robustness tests.

The highlight of this study is that it takes heed of the indirect effect of technological innovation on the efficiency of MFIs. It has been proved that it moderates the impact of managerial overconfidence (manifested by excessive risk-taking, viz., high levels of PAR30, LGR and NIM) on the level of both operational and social efficiencies.

本文旨在對提供金融科技服務的微型金融機構的表現作出評價。我們的研究, 就現有之學術文獻而言, 在以下課題之探討上作出了貢獻: 微型金融的數字化、普惠金融、以及可持續發展。本研究亦以行為主義觀點, 對微型金融機構提供之金融科技服務的效率作出評價。

本研究使用隨機邊界分析法的理念, 去估計有關的387間微型金融機構於2005年至2019年期間、經營方面和社會方面的效率分數; 繼而嘗試找出影響微型金融機構效率的因素, 並評估這些因素的影響。為此目的, 研究人員分別測試兩個模型, 一個是探究運作方面的效率, 另一個則探究社會方面的效率。兩個模型內均放入一系列的因素, 其中包括金融科技代理和過度自信代理。探究運作方面的效率的模型使用了隨機效果估算器, 而探究社會方面的效率的模型則使用了固定效果估算器。

研究結果顯示、具創新精神的微型金融機構, 在運作方面的效率的平均值上,較沒具創新精神的為弱, 而社會方面的效率的平均值卻較高。這個結果是合理的, 因為具創新精神的微型金融機構會更著眼於社會。另外, 研究結果描繪了一個現象, 就是: 金融科技代理會對微型金融機構的運作效率水平產生負面影響; 我們也看到、金融科技代理與社會方面的效率水平之間的關聯是負面的; 這些研究結果、均通過穩健性檢驗。

本研究最突出之處為研究人員關注科技之創新會間接影響微型金融機構的效率。研究人員證明了於微型金融機構整合金融科技服務是會緩和管理上的過度自信給運作和社會兩方面的效率水平帶來的影響 (管理上的過度自信、顯露於過度的風險承擔, 即是, PAR30(貸款組合風險-30日)、LGR(貸款增長率) 和NIM(淨息差) 處於高水平)。

The purpose of this paper is to investigate the impact of loan officers’ overconfidence on risk-taking decision and solvency performance measured by z-scores in the context of Islamic and conventional microfinance institutions (MFIs).

A random effect generalized least square regression was applied to examine the effect of overconfidence on credit risk-taking. The data set covers 326 conventional MFIs and 57 Islamic MFIs in six different regions over the period of 2005–2015.

Overconfidence proxies have shown through high loan growth, low-interest margin and loan loss provision reveal negative consequences on risk-exposures for both MFIs averagely. The loan officer’s overconfidence is significantly and positively related to the risk-taking decision, and thus, a lower loan portfolio quality. Besides, loan officers’ risk-taking behaviour harms these institutions’ solvency performance.

This paper makes an initial attempt to evaluate the effect of overconfidence behavioural bias on risk-taking decisions and its implication on the MFIs solvency and sustainability.