Efficiency of Microfinance Institutions in India: A Two-Stage DEA Approach

2019 ◽  
Vol 15 (1) ◽  
pp. 49-77 ◽  
Author(s):  
Ram Pratap Sinha ◽  
Pallavi Pandey
Keyword(s):  
Environmental Variable ◽  
Current Approach ◽  
Data Envelopment ◽  
Microfinance Institutions ◽  
Two Stage ◽  
Conditional Performance ◽  
Evaluation Of Performance ◽  
Bootstrap Approach ◽  
Stage Estimation ◽  
The Relationship

The present study uses robust data envelopment analysis to estimate the performance of 30 Indian microfinance institutions (MFIs) from 2008–2009 to 2015–2016. Due to the non-availability of information in some instances, the present study uses an unbalanced panel of observations. In the matter of evaluation of performance, the study makes a major departure from the extant studies undertaken in the Indian context and adopts a double bootstrap approach originally suggested by Simar and Wilson. The current approach thus evaluates conditional performance of the in-sample MFIs in the presence of capital-to-asset ratio as an environmental variable. The two-stage estimation also involved the estimation of the influence of capital-to-asset ratio on the reciprocal of efficiency scores, and contrary to the expectations, the relationship was found to be positive.

Efficiency losses through fragmentation? Scale effects in European ANS provision

2019 ◽  
Vol 20 (4) ◽  
pp. 275-289
Author(s):  
Thomas Standfuss ◽  
Frank Fichert ◽  
Michael Schultz ◽  
Petros Stratis
Keyword(s):  
Traffic Management ◽  
Economies Of Scale ◽  
Service Providers ◽  
Scale Effects ◽  
Dynamic Environment ◽  
Air Traffic Management ◽  
Current Approach ◽  
Data Envelopment ◽  
Navigation Service ◽  
The Relationship

Fragmentation has been suspected of contributing to inefficiencies in the European Air Traffic Management (ATM) system. Heterogeneities between providers may contain multiple aspects, such as airspace structure, staff rostering, or systems used for flow management. Applying the scientific approach of data envelopment analysis, this article provides a new outlook on the relationship between airspace fragmentation and efficiency in the admittedly complex and highly dynamic environment of European ATM. We show that there are airspaces that might benefit from economies of scale, but that there is a tipping point where diseconomies of scale occur. Subsequently, the current approach of functional airspace blocks might inhere inefficiencies for some air navigation service providers.

scholarly journals Simar and Wilson two-stage efficiency analysis for Stata

2019 ◽  
Vol 19 (4) ◽  
pp. 950-988 ◽  
Author(s):  
Oleg Badunenko ◽  
Harald Tauchmann
Keyword(s):  
Production Efficiency ◽  
Estimation Procedure ◽  
Data Envelopment ◽  
Two Stage ◽  
Global Competitiveness ◽  
Explanatory Variables ◽  
World Economic ◽  
Original Procedure ◽  
Stage Estimation

When one analyzes the determinants of production efficiency, regressing efficiency scores estimated by data envelopment analysis on explanatory variables has much intuitive appeal. Simar and Wilson (2007, Journal of Econometrics 136: 31–64) show that this conventional two-stage estimation procedure suffers from severe flaws that render its results, and particularly statistical inference based on them, questionable. They additionally propose a statistically grounded bootstrap-based two-stage estimator that eliminates the above-mentioned weaknesses of its conventional predecessors and comes in two variants. In this article, we introduce the new command simarwilson, which implements either variant of the suggested estimator in Stata. The command allows for various options and extends the original procedure in some respects. For instance, it allows for analyzing both outputand input-oriented efficiency. To demonstrate the capabilities of simarwilson, we use data from the Penn World Tables and the Global Competitiveness Report by the World Economic Forum to perform a cross-country empirical study about the importance of quality of governance in a country for its efficiency of output production.

scholarly journals The Theoretical Relationship between the CCR Model and the Two-Stage DEA Model with an Application in the Efficiency Analysis of the Financial Industry

Symmetry ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 712
Author(s):  
Ming-Chi Tsai ◽  
Ching-Hsue Cheng ◽  
Van Trung Nguyen ◽  
Meei-Ing Tsai
Keyword(s):  
Insurance Companies ◽  
Data Envelopment ◽  
Financial Industry ◽  
Two Stage ◽  
Theoretical Relationship ◽  
Dea Model ◽  
Bank Branches ◽  
Dea Models ◽  
The Relationship ◽  
Ccr Model

Since Charnes, Cooper, and Rhodes introduced data envelopment analysis (DEA) in 1978, later called the DEA-CCR model, many studies applied this technique to different fields. Based on the original CCR model, many modified DEA models were developed by researchers. Since 1999, Seiford and Zhu presented a two-stage DEA model. Later, these models were widely used in many studies. However, the relationship between the efficiency scores that are obtained from the original CCR model and the two-stage DEA model remains unknown. To fill this gap, this study proposed a theoretical relationship between the efficiency scores that are calculated from the two-stage DEA model and those that are obtained from the original CCR model. How the sets of nonsymmetrical weights affected the efficiency scores were also investigated. Theorems regarding the relationship were developed, and then the model was utilized to evaluate the two-stage efficiency scores of the insurance companies (non-life) and bank branches. The results show that using a two-stage DEA model can get more information about operational efficiency than the traditional CCR model does. The findings from this study about the two-stage DEA technique can provide significant reasons for using this model to evaluate performance efficiency.

A benchmarking study of Indian seaports

2019 ◽  
Vol 13 (1) ◽  
pp. 88-102
Author(s):  
Sajeev Abraham George ◽  
Anurag C. Tumma
Keyword(s):  
Financial Performance ◽  
Future Research ◽  
Data Envelopment ◽  
Operational Parameters ◽  
Two Stage ◽  
Content Type ◽  
The Public ◽  
Port Authorities ◽  
Financial Performance Measures ◽  
The Government

Purpose The purpose of this paper is to benchmark the operational and financial performances of the major Indian seaports to help derive useful insights to improve their performance. Design/methodology/approach A two-stage data envelopment analysis (DEA) methodology has been used with the help of data collected on the 13 major seaports of India. The first stage of the DEA captured the operational efficiencies, while the second stage the financial performance. Findings A window analysis over a period of three years revealed that no port was able to score an overall average efficiency of 100 per cent. The study identified the better performing units among their peers in both the stages. The contrasting results of the study with the traditional operational and financial performance measures used by the ports helped to derive useful insights. Research limitations/implications The data used in the study were majorly limited to the available sources in the public domain. Also, the study was limited to the major seaports which are under the Government of India and no comparisons were carried out with other local or international ports. Practical implications There is a need to prioritize investments and improvement efforts where they are most needed, instead of following a generalized approach. Once the benchmark ports are identified, the port authorities and other relevant stakeholders should work in detail on the factors causing inefficiencies, for possible improvements in performance. Originality/value This paper carried out a two-stage DEA that helped to derive useful insights on operational efficiency and financial performance of the India seaports. A combination of the financial and operational parameters, along with a comparison of the DEA results with the traditional measures, provided a different perspective on the Indian seaport performance. Considering the scarcity of research papers reported in the literature on DEA-based benchmarking studies of seaports in the Indian context, it has the potential to attract future research in this field.

scholarly journals Institutional quality and the capital structure of microfinance institutions: the moderating role of board gender diversity

2021 ◽  
pp. 1-21
Author(s):  
Michael Adusei ◽  
Beatrice Sarpong-Danquah
Keyword(s):  
Capital Structure ◽  
Institutional Environment ◽  
Gender Diversity ◽  
Institutional Quality ◽  
Microfinance Institutions ◽  
Female Representation ◽  
Long Run ◽  
Board Gender Diversity ◽  
The Relationship

Abstract We test the effect of institutional quality on capital structure in the microfinance setting. In doing this, we rely on data from 532 microfinance institutions (MFIs) located in 73 countries dotted across the six microfinance regions in the world. We observe that institutional quality exhibits a robust negative and statistically significant relationship with capital structure in both the short and long run, implying that MFIs in countries with a better institutional environment are less likely to utilize more debt. Our moderation analysis furnishes us with evidence that the presence of women on the board of an MFI significantly moderates the relationship between institutional quality and its capital structure. We show that in the presence of more female representation on the boards of MFIs, the tendency of MFIs using less debt is higher.

scholarly journals Competition and microfinance institutions’ performance: evidence from India

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Hailu Abebe Wondirad
Keyword(s):  
Empirical Analysis ◽  
Significant Relationship ◽  
Competitive Market ◽  
Microfinance Institutions ◽  
Self Sufficiency ◽  
Using Data ◽  
The Relationship ◽  
The Empirical Analysis

Abstract This paper empirically examines whether competition (measured by using the new measure of competition, the Boone Indicator) moderates the relationship between Microfinance Institutions’ (MFIs) social and financial performances using data from 183 Indian MFIs over the period 2005–2014. The findings indicate that MFIs’ social and financial performances have a positive significant relationship. Moreover, the form of the relationship is both lead-lag and cotemporal. The Indian microfinance market was very competitive over the period 2005–2014. The empirical findings show that competition positively moderates the relationship between MFIs’ social and financial performances. More precisely, the empirical analysis provides evidence that the association between MFIs’ depth of outreach and operational self-sufficiency is conditional upon competition. These results suggest that in a competitive market, the more MFI deepen their depth of outreach, the higher contribution it has to their operational self-sufficiency.

Impact of Competition on Efficiency of Microfinance Institutions: Cross Country Comparison of India and Bangladesh

2021 ◽  
pp. 097300522110052
Author(s):  
Joyeeta Deb ◽  
Ram Pratap Sinha
Keyword(s):  
Information Exchange ◽  
Data Envelopment ◽  
Bottom Of The Pyramid ◽  
Microfinance Institutions ◽  
Tobit Regression ◽  
Social Efficiency ◽  
Trade Off ◽  
Social Objective ◽  
Efficient Level ◽  
Potential Impact

Increased competition coupled with commercialisation in the Indian microfinance sector has brought about many major transformations. From an impact-driven development programme, microfinance institutions (MFIs) today emerged as commercially oriented profit-making entities. In addition to bringing their commercial and social objectives into balance, MFIs today are striving for efficient level of operation. Efficiency in the level of operation of MFIs allows them to remain competitive and attain financial sustainability. However, it is also imperative for MFIs to remain socially committed towards the ultimate mission of reaching the poorest at the bottom of the pyramid. Hence, it is of research interest to see the trade-off between MFIs’ social objective of spreading outreach and at the same time remaining financially sustainable. Against this backdrop, this article is devoted to study the potential impact of competition and commercialisation on efficiency of MFIs in India and Bangladesh. The study is carried over 75 MFIs altogether over the period of 8 years from 2009 to 2016. The data have been collected from microfinance information exchange database. Efficiency is measured through technical efficiency (TE) scores as estimated under data envelopment analysis. In order to establish the association between competitions, which is estimated by the Herfindahl–Hirschman index (HHI), tobit regression is used. The study evidenced increasing level of competition in the sector over the years, but it is more pronounced in India as against Bangladesh. In order to analyse the trade-off, TE scores are separately estimated under both financial and social measures. TE score is found to be higher in case of social measures of efficiency as against financial efficiency. Further, under both the measures, competition is found to be having a significant impact on both financial and social efficiency.

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