A Production Approach to Performance of Banks with Microfinance Operations

2014 ◽  
Vol 6 (2) ◽  
pp. 18-35 ◽  
Author(s):  
Emilyn Cabanda ◽  
Eleanor C. Domingo
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Performance Measures ◽  
Negative Relationship ◽  
The Philippines ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Production Frontier ◽  
Financial Performance Measures ◽  
Production Approach

Banking institutions, nowadays, serve as intermediaries of funds to a variety of clients, including the micro enterprisers. This study analyzes and measures the performance of rural and thrift banks with microfinance operations in the Philippines, using combined measures of data envelopment analysis and traditional financial performance indicators. Data envelopment analysis (DEA) method is employed to measure the productive efficiency of these banks under the production approach. The variable returns to scale is also used, with the assumption that not all banks are operating at optimal scale over the long-run period. DEA findings reveal that sample banks performed below the production frontier. The average technical efficiency score of these banks is 66.09% and additional 33.91% is needed to reach the production frontier. Overall, thrift banks are found to be more productively efficient than rural banks as depository banks. The authors have also found a strong relationship between financial performance measures and bank's productive efficiency. For thrift banks, sustainability, ROE and ROA measures showed a statistically significant positive correlation to the banks' productive efficiency while a negative relationship was observed in rural banks. Lastly, the authors can suggest that both DEA's productive efficiency and financial performance measures are consistently and strongly correlated when evaluating the overall performance of banks with microfinance operations.

Financial Performance Measures, Efficiency and Indian Banking

2012 ◽  
Vol 1 (2) ◽  
pp. 43-56
Author(s):  
Padmasai Arora
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Bank Performance ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Policy Makers ◽  
Important Indicator ◽  
Financial Measures ◽  
Financial Performance Measures ◽  
Using Data

Globalization forces are linking banking operations to worldwide markets making them vulnerable to global stress. This fundamental change compels banks to be more robust in terms of sound financial performance. Bankers worldwide compute a large number of financial measures using ratios to gauge bank performance. This paper calculates efficiency, an important indicator of financial performance of banks in India using Data Envelopment Analysis (DEA) for the period 2006-07. Following Jackson (1972), the paper investigates commonality that might exist among financial performance measures computed by banks in India and the estimated bank efficiency scores. Results of Factor Analysis uncovered fewer significant factors and interestingly show that efficiency scores do not cluster with other measures of bank performance despite emerging as one of the significant factor. The present paper argues that bankers and policy makers should not feel contented by looking at the standard performance measures alone. Rather, they should also try to examine bank performance vis-à-vis efficiency based on multiple inputs and outputs to capture the complete picture. A paradigm shift towards measurement of efficiency using sophisticated modeling techniques is recommended for better performance evaluation in banking.

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 Does Farm Size and Specialization Matter for Productive Efficiency? Results from Kansas

2011 ◽  
Vol 43 (4) ◽  
pp. 515-528 ◽  
Author(s):  
Amin W. Mugera ◽  
Michael R. Langemeier
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Production Technology ◽  
Returns To Scale ◽  
Productive Efficiency ◽  
Farm Size ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Sample Period ◽  
Analysis Techniques

In this article, we used bootstrap data envelopment analysis techniques to examine technical and scale efficiency scores for a balanced panel of 564 farms in Kansas for the period 1993–2007. The production technology is estimated under three different assumptions of returns to scale and the results are compared. Technical and scale efficiency is disaggregated by farm size and specialization. Our results suggest that farms are both scale and technically inefficient. On average, technical efficiency has deteriorated over the sample period. Technical efficiency varies directly by farm size and the differences are significant. Differences across farm specializations are not significant.

Penilaian Efisiensi Bank dengan Data Envelopment Analysis pada 10 Bank Berperingkat Besar di Indonesia

2015 ◽  
Vol 2 (02) ◽  
pp. 113-126
Author(s):  
J.M.V. Mulyadi
Keyword(s):  
Data Envelopment Analysis ◽  
Detailed Analysis ◽  
Jel Classification ◽  
Financial Ratios ◽  
Data Envelopment ◽  
Bank Efficiency ◽  
Efficiency Assessment ◽  
Production Approach

A B S T R A C T Bank efficiency are important in the assessment of the health of banks. Data Envelopment Analysis is a model of efficiency assessment bank that is widely used because it provides a more detailed analysis of the results compared to financial ratios. Analysis carried out by the production approach, intermediation, revenues and profits. This study assesses the 10 major banks in Indonesia. The results showed that of the 10 large banks are still found inefficiencies. DEA resulted in a recommendation that development can be done bank to achieve optimum efficiency. Based on the recommendation expected the bank to maximize the desired profit through efficiency. A B S T R A K Efisiensi bank merupakan hal penting dalam penilaian kesehatan bank. Data Envelopment Analysis adalah model penilaian efisiensi bank yang banyak digunakan karena memberikan hasil analisis yang lebih detil dibandingkan rasio keuangan. Analisi dilakukan dengan pendekatan produksi, intermediasi, pendapatan dan laba. Penelitian ini melakukan penilaian pada 10 bank besar di Indonesia. Hasil penelitian menujukkan bahwa dari 10 bank besar tersebut masih ditemukan inefisiensi. DEA menghasilkan rekomendasi pengembangan yang dapat dilakukan bank untuk mencapai efisiensi optimum. Berdasarkan rekomendasi tersebut diharapkan bank dapat memaksimumkan profit yang diinginkan melalui efisiensi. JEL Classification: G29, O33

Fuzzy preference programming formulation in data envelopment analysis for university department evaluation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dyanne Brendalyn Mirasol-Cavero ◽  
Lanndon Ocampo
Keyword(s):  
Data Envelopment Analysis ◽  
Real Life ◽  
The Philippines ◽  
Data Envelopment ◽  
Data Accessibility ◽  
Content Type ◽  
Proposed Model ◽  
University Department ◽  
Fuzzy Dea ◽  
Fuzzy Preference

Purpose University department efficiency evaluation is a performance assessment on how departments use their resources to attain their goals. The most widely used tool in measuring the efficiency of academic departments in data envelopment analysis (DEA) deals with crisp data, which may be, often, imprecise, vague, missing or predicted. Current literature offers various approaches to addressing these uncertainties by introducing fuzzy set theory within the basic DEA framework. However, current fuzzy DEA approaches fail to handle missing data, particularly in output values, which are prevalent in real-life evaluation. Thus, this study aims to augment these limitations by offering a fuzzy DEA variation. Design/methodology/approach This paper proposes a more flexible approach by introducing the fuzzy preference programming – DEA (FPP-DEA), where the outputs are expressed as fuzzy numbers and the inputs are conveyed in their actual crisp values. A case study in one of the top higher education institutions in the Philippines was conducted to elucidate the proposed FPP-DEA with fuzzy outputs. Findings Due to its high discriminating power, the proposed model is more constricted in reporting the efficiency scores such that there are lesser reported efficient departments. Although the proposed model can still calculate efficiency no matter how much missing and unavailable, and uncertain data, more comprehensive data accessibility would return an accurate and precise efficiency score. Originality/value This study offers a fuzzy DEA formulation via FPP, which can handle missing, unavailable and imprecise data for output values.

The effectiveness of flexible manufacturing strategies

2009 ◽  
Vol 58 (2) ◽  
pp. 119-135 ◽  
Author(s):  
Therese A. Joiner ◽  
X. Sarah Yang Spencer ◽  
Suzanne Salmon
Keyword(s):  
Financial Performance ◽  
Performance Measures ◽  
Flexible Manufacturing ◽  
Positive Association ◽  
Manufacturing Firms ◽  
Manufacturing Strategy ◽  
Organisational Performance ◽  
Content Type ◽  
Financial Performance Measures

PurposeAgainst a background of a customization imperative embraced by manufacturing firms in industrialised nations and the concomitant call for more balanced performance measurement systems (PMS), this study seeks to examine the mediating role of both non‐financial and financial performance measures in the relationship between a firm's strategic orientation of flexible manufacturing and organisational performance.Design/methodology/approachA path‐analytical model is adopted using questionnaire data from 84 Australian manufacturing firms.FindingsThe results indicate that, first, firms emphasising a flexible manufacturing strategy utilise non‐financial as well as financial performance measures; second, these performance measures are associated with higher organisational performance; and third, there is a positive association between a firm's strategic emphasis on flexible manufacturing and organisation performance via non‐financial and financial performance measures.Practical implicationsWhile there is agreement on the beneficial role of non‐financial performance measures in supporting strategic priorities associated with customization strategies, equivocal research results have emerged on the role of financial performance measures in this context. The study underscores the importance of both non‐financial and financial performance measures in this context.Originality/valueThe paper reinstates the value of financial performance measures for firms pursuing customization type strategies and adds to one's knowledge of PMSs by exploring the intervening role of such systems in linking flexible manufacturing strategy to organisation performance.

Sign in / Sign up

Export Citation Format

Share Document