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About 10,000 papers for “Efficiency Analysis Using DEA”

Decomposition of efficiency using DEA window analysis

Fekri Ali Shawtari, Milad Abdelnabi Salem, Izzeldin Bakhit · Benchmarking An International Journal · 2018

Purpose The purpose of this paper is to examine empirically the efficiency types of Islamic and conventional banks. It seeks to show whether the efficiency level of conventional and Islamic banks significantly differs from each other. In addition, it investigates the influential factors on each type of efficiency. Design/methodology/approach The paper utilises the data envelopment analysis in its windows version to estimate the efficiency scores reflecting the time variance and compares between banking models. The paper uses pure technical efficiency (TE) and scale efficiency to achieve the objective of the study. In addition, the panel data technique is adopted to assess the determinants of the efficiency of the banks econometrically. Findings The findings of panel regression initially indicate that the pure TE is higher for conventional banks compared to Islamic banks. However, the Islamic banks are more scale efficient than their conventional counterpart. Macro and micro indicators have different impacts on the both types of efficiency. However, the unique factors that show consistent influence on the efficiency types were loans/finance, non-interest income/finance/liquidity and GDP. Furthermore, the determinants are shaped differently for Islamic and conventional banks when the banking model is controlled for. Originality/value This paper examines the efficiency types using a unique window analysis approach to examine the types of efficiency with a longitudinal set of data from 1996 to 2011.

Cited by 33Open access

Efficiency analysis of Portuguese courts using DEA

Santos, Sérgio Pereira dos, Amado, Carla · Sapientia (Algarve University) · 2010

The Portuguese judicial system has attracted considerable criticism in recent years and demands for better performance and accountability have gained prominence. By using the Data Envelopment Analysis technique, this research has found evidence that supports some of this criticism. In particular, our analysis suggests that the average efficiency in the sector for the year 2008 was around 67%, and that the sector experienced productivity gains of only 2% in recent years. These results indicate considerable scope for improvement and that the reforms initiated in 2009 are timely and well targeted.

Cited by 0Open access

Relative Efficiency Analysis of Universities Using DEA

Do Jin Kim · 2026

This study was conducted for the purpose of analyzing the relative efficiency of 174 universities in Korea using the DEA technique. Input and output indicators for measuring relative efficiency were first extracted through analysis of previous studies, and indicators with high content validity were confirmed through the second verification with Delphi advice. The results of the specific study are as follows. First, as a result of the study, the relative efficiency of universities was higher in the BCC model than in the CCR model, and a total of 84 universities out of 174 tended to be determined by size. In addition, it was analyzed that most universities were in the IRS state. Second, as a result of analyzing the difference in efficiency according to the university location using the average difference verification method, the average efficiency value of metropolitan universities was higher than that of non-metropolitan universities, and the difference by size was higher in the CCR model than in the medium-sized universities. Third, the BCC model showed that small and large universities were more efficient than medium-sized universities. In the CCR model and the BCC model, universities with low efficiency tended to over-inject inputs as a whole. If universities blindly control inputs and outputs to maintain an efficient state, side effects may follow, so measures to maintain an appropriate state in the long run need to be considered.

Cited by 0

pioneeR: Productivity and Efficiency Analysis using DEA

Ove Haugland Jakobsen, Aleksander Eilertsen Valberg · 2024

Measure productivity and efficiency using Data Envelopment Analysis (DEA). Available methods include DEA under different technology assumptions, bootstrapping of efficiency scores and calculation of the Malmquist productivity index. Analyses can be performed either in the console or with the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984) &lt;<a href="https://doi.org/10.1287%2Fmnsc.30.9.1078" target="_top">doi:10.1287/mnsc.30.9.1078</a>&gt;, Färe, R.; Grosskopf, S. (1996) &lt;<a href="https://doi.org/10.1007%2F978-94-009-1816-0" target="_top">doi:10.1007/978-94-009-1816-0</a>&gt;.

Cited by 0Open access

Efficiency analysis for nonprofit organizations using DEA

Hyun-Soo Kim, Chang Won Lee · Asia Pacific Journal of Innovation and Entrepreneurship · 2018

Purpose The purpose of this study is to provide models to analyze the efficiency of programs and efficiency of fundraising to apply the models to non-profit organizations (NPOs) in Korea and to draw out improvement points of inefficiency using data envelopment analysis (DEA). Design/methodology/approach Using DEA, this study analyzed the program efficiency and fundraising efficiency of 22 Korean NPOs in the field of humanitarian assistance. Findings Of 22 NPOs, 15 were identified as being efficient in the program efficiency and 7 of 15 NPOs were found efficient in the fundraising efficiency. In all, four organizations were found efficient in both the program and the fundraising efficiency. Using CCR and BCC model, this study proposed the cause of inefficiency and state of returns of scale. Practical implications This study presents non-profit efficiency evaluation models regarding program efficiency and fundraising efficiency. This study provides the inefficient DMUs with their reference set of efficient DMUs to improve efficiency and the cause of inefficiency, whether the inefficiency is because of the pure technical inefficiency or the scale inefficiency. This study also indicates the state of variable returns to scale to propose the way of improving inefficiency by controlling the scale of inputs. The methods and the results of this study can serve as a model for researchers and practitioners to follow when evaluating efficiency in the NPOs. Originality/value This study has the value of performing the empirical studies of efficiency analysis of Korean NPOs and providing non-profits with the model of efficiency analysis in programs and fundraising activities and basis for establishing strategies to improve both efficiencies.

Cited by 20Open access

EFFICIENCY ANALYSIS OF AIRLINES USING DEA MODEL

Aleksandra Marcikic Horvat, Kristina Budimcevic, Etihad Airways, Khalifa City A,P.O. Box 35566, Abu Dhabi, UAE · Association of Economists and Managers of the Balkans in cooperation with the Faculty of Tourism and Hospitality, Ohrid, Macedonia eBooks · 2018

Due to deregulation and dynamic development of the air transport in the recent decades, the concept of performance evaluation and efficiency measurement has been given an increasing attention. The main goal of this paper is to use Data Envelopment Analysis to compare the efficiency of nine airlines using multiple inputs and outputs. The results of the analysis showed that Croatian Airlines, Lufthansa, Singapore Airlines and Emirates Airlines have the best ratio of the selected inputs and outputs and thus they are achieving maximum efficiency compared to the other airlines included in the analysis.

Cited by 2Open access

Efficiency analysis of Croatian banks using DEA window analysis

Iva Car · Repository of the University of Rijeka, Faculty of Economics and Business · 2024

Prilagodba europskim standardima i zakonodavne reforme su bitne za financijsku stabilnost i rast gospodarstva. U radu se vrednuje efikasnost 17 hrvatskih poslovnih banaka primjenom DEA analize prozora (eng. Window Data Envelopment Analysis) u razdoblju od 2013. do 2022. godine. Pored vrednovanja i praćenja kretanja efikasnosti, utvrđeni su i izvori neefikasnost za one banke za koje se utvrdilo da posluju ispod granice efikasnosti. Analiza je pokazala da su hrvatske banke tijekom promatranog razdoblja generalno postizale visoke razine efikasnosti, upravljajući resursima na način koji doprinosi njihovoj stabilnosti i konkurentnosti na tržištu.

Cited by 0

Efficiency Analysis of Privatization Using DEA and MPI

Hyun Jung Kim, Soo Wook Kim, Jong Seop Shin · Public Performance & Management Review · 2014

Abstract The reforms enacted by the Junichiro Koizumi government in Japan included the limited privatization of four public highway corporations. This study considers the effect of this reform on the overall efficiency of the public highway corporations and whether the corporations were all equally efficient. Using Data Envelopment Analysis (DEA) and the Malmquist Productivity Index (MPI), the study found that there were no overall post-privatization efficiency gains and that the efficiency levels of the privatized corporations depended on the size of their operational regions and the sophistication of their technologies. It suggests that stakeholders designing policies for future privatizations of public corporations consider economies of scale and the degree of technological advancement. Keywords: efficiency analysisdata envelopment analysis (DEA)Japan Highway Public Corporation (JHPC)Malmquist Productivity Index (MPI)privatization

Cited by 12

Efficiency analysis of mutual funds using Data Envelopment Analysis (DEA)

Sireesha Nanduri, T Sai Rama Kanth, Divyesh Kumar et al. · 2026

With assets under management (AUM) surpassing ₹40 trillion in 2023, the mutual fund sector in India has experienced substantial growth. Nonetheless, there is still serious concern about how well mutual funds use resources to get the best returns. This study uses the Data Envelopment Analysis (DEA) approach under the Constant Returns to Scale (CRS) model to assess the efficiency of mutual funds across the Large Cap, Mid Cap, and Small Cap categories. In order to determine efficiency ratings for each fund, the study identifies important inputs (Expense Ratio, Beta, Minimum Investment, Net Assets, and Standard Deviation) and outputs (Average Returns of Five Years, Sharpe Ratio, and Alpha Ratio). With efficiency scores of 1.00, the findings show that the HDFC Top 100 Fund-Regular Plan (Large Cap), HDFC Mid-Cap Opportunities Fund-Regular Plan (Mid Cap), and Invesco India Small Cap Fund-Regular Plan (Small Cap) are all completely efficient.

Cited by 0Open access

Efficiency analysis in knitted fabric portfolio management using DEA

Eduardo Werner Benvenuti, Andréa Cristiane Krause Bierhalz, Carlos Ernani Fries et al. · Research Journal of Textile and Apparel · 2024

Abstract Purpose The purpose of this paper is to develop a decision-making protocol to meet the new requirements in an atypical panorama, such as the economic instability, in the textile industry. Design/methodology/approach The methodology consists of analyzing technical criteria, costing parameters and efficiency scores of knitted fabrics using the data envelopment analysis (DEA) and classification and regression (C&amp;R) trees models, together with statistical techniques. From these tools, it is possible to guide the portfolio management of these products in a textile company, identifying those that are inefficient and require immediate management measures. The results are expected to be replicated in other companies because the DEA and C&amp;R trees analytical procedures are applicable to different portfolios, whether in the same industry or not. Findings The results allowed identifying inefficient textile products regarding the input-output relationship and the main technical reasons related to the most significant inefficiencies, such as fiber composition and knitted fabrics rapports used in manufacturing. Originality/value DEA and C&amp;R trees, in combination with the study of textile technical parameters, can be fundamental to investigating the efficiency and profitability of industries in periods of economic instability or other adverse situations. In addition, it is noteworthy that there are practically no studies in the literature on DEA applied in the textile industry, indicating excellent development potential.

Cited by 2

Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models

Ye Chen, Zhenan Bao · Journal of improved oil and gas recovery technology. · 2024

This article introduces cloud computing technology, analyzes the application principles of energy-saving key technologies in cloud computing for IT support systems, and dissects the practical energy efficiency of these key technologies. By examining cloud-based business scenarios and analyzing the basis and algorithms for resource scheduling, intelligent power management contributes to reducing host power consumption during data center operation. The computational demands of business operations are positively correlated with energy consumption, and these demands can vary due to business requirements. Creating an energy-saving scheduling model and implementing it within the IT support cloud platform helps address energy-saving and emission reduction issues in cloud computing. Furthermore, the key energy-saving technologies in cloud computing enable flexible implementation of resource scheduling.

Cited by 0Open access

Optimizing Supply Chain Efficiency Using Cross-Efficiency Analysis and Inverse DEA Models

Min Liu, Samuel D.H. Chan, Samuel D.H. Chan · Journal of improved oil and gas recovery technology. · 2024

Our study employs cross-efficiency analysis (CEA) and machine learning techniques to optimize supply chain performance. By integrating inverse DEA models with directional distance functions, we measure operational efficiency across various decision-making units (DMUs), accounting for undesirable outputs such as excess costs and emissions. Our results indicate a 20% improvement in market recognition efficiency and a 15% increase in earnings persistence efficiency after model application. Additionally, machine learning classifiers, including Random Forest and Support Vector Machines, further enhanced predictive accuracy, with Random Forest achieving the lowest mean absolute error of 0.07. These findings underscore the effectiveness of advanced analytical models in improving supply chain resilience and decision-making accuracy, contributing to sustainable operational performance.

Cited by 1Open access

Analysis of the efficiency of Overseas Korean School using DEA

Kyung Min Kim, Kyung Min Kim · The Korean Society for the Economics and Finance of Education · 2024

The purpose of this study is to analyze the relative efficiency of overseas Korean schools receiving financial support under the Act on Educational Support for Korean Nationals Abroad. The investigation includes identifying environmental factors that influence efficiency. To achieve this goal, data envelopment analysis (DEA), a method suitable for measuring efficiency, was employed to assess overseas Korean schools. The analysis covered a three-year period from 2020 to 2022, comparing and scrutinizing the efficiency of these schools during this timeframe. In addition, the study utilized the Tobit model to examine the impact of various factors on the efficiency of overseas Korean schools. These factors include the country of the school's location, educational objectives, student size, school system organization, ownership of land and buildings, school corporation, development fund, years of establishment, and the GDP of the host country. The Tobit model was employed to analyze how these variables influence the efficiency of the schools. As a result of the empirical analysis conducted from 2020 to 2022, the relative efficiency of overseas Korean schools was measured. The study identified 9 schools exhibiting Constant Return to Scale(CRS) and distinguished 25 schools with either Decreasing Return to Scale(DRS) or Increasing Return to Scale(IRS). The impact on efficiency indicates that schools located in Northeast Asia and large-scale schools demonstrated relatively high efficiency. Contrary to expectations, school corporation and completed school system organization exhibited relatively lower efficiency. Lastly, the lower the GDP of the host country, the higher the efficiency. This study identified inefficiencies in terms of technology and scale of overseas Korean schools. By analyzing environmental factors, information on the direction of government financial support can be provided. It is expected that this evaluation of the efficiency of overseas Korean schools will serve as basis for establishing strategies to strengthen the effectiveness of government subsidies.

Cited by 0

Provincial analysis of relative efficiency in Canadian hospitals using DEA

Reza Ghaeli · Healthcare Engineering · 2025

Studying the efficiency of hospitals in Canada is very important for optimizing resource allocation and assuring equitable access to high-quality care in different provinces in Can-ada. The analysis could reveal issues in identifying best practices and areas of inefficiency, thereby informing policy decisions and shaping investment strategies. In this paper, we present a four data envelopment analysis methods, namely, CCR, BCC Input Oriented, BCC Output Oriented and Additive to measure the relative efficiency of 10 provinces in terms of offering different services including Discharges, Surgeries and Diagnostic Exams for their patients. The proposed study has implemented DEA technique and using three inputs, Beds in Operations, Hospital Staff (FTE) and Operating Expenses, and outputs, Dis-charges, Surgeries and Diagnostic Exams, measures the relative efficiencies for 10 provinces. The study also uses four DEA techniques for measuring the relative efficiencies of hospitals. The implementation of CCR for all four models yields lower scores compared with other methods. Overall, the method confirms that most hospitals across the country perform relatively well.

Cited by 1Open access