To see the other types of publications on this topic, follow the link: Data Envelopment Analysis Technical Efficiency.
Journal articles on the topic 'Data Envelopment Analysis Technical Efficiency'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Data Envelopment Analysis Technical Efficiency.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Sahoo, Biresh K., and Pratap K. J. Mohapatra. "Measuring Technical Efficiency in Data Envelopment Analysis." OPSEARCH 38, no. 5 (2001): 456–83. http://dx.doi.org/10.1007/bf03398651.
Full text
2
SENGUPTA, JATI K. "TECHNICAL CHANGE AND EFFICIENCY IN DATA ENVELOPMENT ANALYSIS." Cybernetics and Systems 27, no. 1 (1996): 77–92. http://dx.doi.org/10.1080/019697296126688.
Full text
3
Parichatnon, Surakiat, Kamonthip Maichum, and Ke-Chung Peng. "Measuring technical efficiency of Thai rubber production using the three-stage data envelopment analysis." Agricultural Economics (Zemědělská ekonomika) 64, No. 5 (2018): 227–40. http://dx.doi.org/10.17221/19/2016-agricecon.
Full textAbstract:
The study investigated the technical efficiency of rubber production in Thailand. Secondary data were collected from the Thai rubber plantations in four regions from 2005 to 2014 by using a three-stage data envelopment analysis (DEA) model. The DEA was used to evaluate the technical efficiency levels and to remove undesirable environmental impacts. Furthermore, the Malmquist productivity index was used to measure the changes in the rubber production efficiency and estimate the rubber productivity trend. The findings indicate that the efficiency scores obtained using adjusted inputs in stage 3 of the DEA approach were higher than the efficiency scores in stage 1 of the DEA approach. Moreover, the results also showed that the Northern region has the worst scores of technical efficiency and declination of productivity among the four regions. However, the technical performance of the Thai rubber production has shown a good performance, an upward productivity trend, and has demonstrated the advantages of the method used. Findings from the study could provide crucial information to farmers, the Thai government, and agricultural planners for formulating effective strategies or plans to improve their technology and efficiency levels.
4
Rahman Shaik, Abdul. "Measuring efficiency of banks in Saudi Arabia: A data envelopment analysis approach." Banks and Bank Systems 17, no. 4 (2022): 61–71. http://dx.doi.org/10.21511/bbs.17(4).2022.06.
Full textAbstract:
The current study investigates the efficiency of banks in Saudi Arabia in terms of technical change and change in total productivity. The study considers ten banks listed on Tadawul as a sample from 2016 to 2021. The Malmquist Data Envelopment Analysis (Malmquist DEA) model is employed to measure banks’ efficiency. Customer deposits and balances with other banks and financial institutions are inputs, while the operating profit and net income are outputs to measure efficiency. The results of efficiency report that most of the Saudi Arabian banks are considerably efficient, while some are marginally efficient. The technical change report results show that Saudi Arabia’s banks are enthusiastic about adopting new technologies that lead to their growth. Further, the results of the change in total productivity show great dynamism among the Saudi Arabian banks to become more productive, which ultimately leads to a more remarkable performance. The study results demonstrate the good performance of Saudi Arabian banks; however, very few banks are marginally efficient in terms of efficiency change. Therefore, the study supports the established hypothesis that there is a significant change in the technical efficiency and total productivity of Saudi Arabian banks. AcknowledgmentThe author(s) acknowledge that the Deanship of Scientific Research supports the current project at Prince Sattam Bin Abdulaziz University under research project number 2022/02/20810.
5
Abdullah, M. Alsabah, D. Alatawi Ahmed, and Koornneef Erik. "Efficiency evaluation of public hospitals in Kuwait: An application of data envelopment analysis." GSC Advanced Research and Reviews 14, no. 3 (2023): 254–64. https://doi.org/10.5281/zenodo.7928881.
Full textAbstract:
<strong>Background</strong>: Kuwait overall health expenditure, in 2019, was 5.5% from the gross-domestic product and the state is the biggest healthcare provider in secondary and tertiary hospitals. Hospital efficiency and productivity are, therefore, an important issue to analyse, specifically in terms of number of visits to outpatient clinics, the number of surgical procedures performed, bed turnover and bed occupancy. Data envelopment analysis has been used to provide insights in the understanding of this growth in other countries. <strong>Methods</strong>: Data envelopment analysis (DEA) was used to estimate technical and scale efficiency scores for seventeen public hospitals in Kuwait from 2015 to 2019 using a two-stage DEA. Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences amongst hospitals. <strong>Results</strong>: The mean technical efficiency score for all hospitals was 75%, and it improved by 1% since 2015. The mean pure technical efficiency score was 85% in 2015 and improved to 86% in 2019. The mean scale efficiency score was 89% in 2015 and decreased to 88% in 2019. Only five hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the hospital level (secondary or tertiary), number of beds, bed occupancy rate and the average length of stay. <strong>Conclusions</strong>: Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed in the overall scores and pure technical efficiencies of these hospitals throughout the study. The identification of the factors influencing efficiency is crucial for hospital managers and policymakers to take evidence-based decisions to improve the technical efficiency of the main health-producing units in the country.
6
Zagoruiko, Ivan, and Lesia Petkova. "DEA METHOD AS A TOOL FOR COMPARATIVE ANALYSIS OF THE EFFICIENCY OF NATIONAL ECONOMIES." Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences, no. 62 (September 27, 2021): 81–92. http://dx.doi.org/10.24025/2306-4420.62.2021.242067.
Full textAbstract:
The paper deals with the theory of comparative analysis of the efficiency of national economies using the nonparametric method of data envelopment analysis (DEA).
 The main works on the use of data envelopment analysis are studied. In order to develop the ideas of F. Caselli, W. J. Coleman II., J. Growiec it is proposed to take into account that the goal of producers in modern economy is not only to increase technical efficiency, which is expressed in reducing stock and labor intensity, but also to increase economic (in a narrow sense) efficiency that is reduction of the real prices of the used production factors. The subject of the research is an adequate representation of the interdependence of these "competing" goals in the theory of the efficiency frontiers. In the study, all efficiency frontiers were constructed in a purely nonparametric way reflecting a single period (in a standard form – a year). The goal is to solve the problem of incompleteness of a purely technological approach to the world efficiency frontiers that is to supplement the classical DEA model in a way to make it possible to build the boundaries of technical and economic efficiency using both methods – the envelopments of the actual states (points) of the countries and the envelopments of their national functions of the product distribution and its price. In accordance with the content of the proposed model of Paired Efficiency Frontier Model (PEF model), the geometric method is chosen as the main method for studying and interpreting the results obtained. Therefore, it is proven that it is possible to display a frontier using the envelopment method of functions distribution (straight lines) in one coordinate system as an envelopmentl of actual states (points) in an alternative system. This, in turn, significantly simplifies the range estimation to these borders.
 In the course of the research, the following goals are set: to determine the algebraic forms of linear programming problems that adequately represent the frontiers of technical and economic efficiency; to outline the main points of view regarding the construction of a global technological frontier and to justify the feasibility of complementing it with a global economic frontier.
 The proposed model contains four efficiency frontiers – technological and economic frontiers constructed using the envelopment method of the actual states, and similar frontiers representing the envelopments of the functions of the product distribution and its price. In accordance with the content of the proposed model, the geometric method is chosen as the main method for studying the frontiers of efficiency and interpreting the results obtained. Hence, it is possible to display a frontier using the envelopment method of functions distribution (straight lines) in one coordinate system as an envelopmentl of actual states (points) in an alternative system.
7
Apolinaris, Florida, Ana Arifatus Sa'diyah, Ayu Wulandari, Gatot Suliana, and Appuwa Wedalage Sudarshani Lakmali. "TECHNICAL EFFICIENCY OF ORGANIC CAISIM FARMING USING DATA ENVELOPMENT ANALYSIS (DEA)." Journal of Agricultural Socio-Economics (JASE) 5, no. 2 (2024): 66–75. https://doi.org/10.33474/jase.v5i2.21660.
Full textAbstract:
Efficiency is one of the important aspects for farmers as a measuring tool to carry out the selection of production decisions against available alternatives. There are several differences in efficiency at the farm level, one of the efficiency that needs to be considered is technical efficiency. One of the efficiencies that needs to be considered is technical efficiency, but technical efficiency is rarely found in organic vegetable farmers. This study aims to analyze the level of technical efficiency of organic caisim farming and analyze the factors that affect the technical efficiency of organic caisim farming in Organic Farming (PORKAB) Sumberejo Village, Batu City. This research uses Data Envelopment Analysis (DEA) approach through Variable Return to Scale (VRS) input model to analize the technical efficiency of organic caisim farming. Tobit Regression Analysis was used to analyze the factors that affect the technical efficiency of organic caisim farming. The results of the analysis show that the average level of technical efficiency of respondent farmers in PORKAB in Sumberejo Village is 0.737. This condition shows that the average farmer has not yet reached the green range category. So that the majority of the use of production inputs by organic caisim farmers has not been technically efficient. Tobit regression analysis showed that the farmer's age variable had a significant and negative effect on the technical efficiency of organic caisim farming, while the experience farming variable had a significant and positive effect on the technical efficiency of organic caisim farming. Meanwhile, the variables of farmers' education level, and the number of family members of farmers did not significantly affect the technical efficiency of organic caisim farming.
8
Saeri, M., SS Antarlina, Z. Arifin, E. Latifah, and MS Rahman. "Technical efficiency analysis of maize farming in Wajak District, Malang Regency with data envelopment analysis approach." IOP Conference Series: Earth and Environmental Science 1107, no. 1 (2022): 012030. http://dx.doi.org/10.1088/1755-1315/1107/1/012030.
Full textAbstract:
Abstract Technical efficiency is becoming essential indicators in estimating agriculture productivity, The aims of this research are to estimate the technical efficiency level and analysis factors affecting the technical efficiency level of maize farmer. The research was conducted in Wajak Sub-District of Malang Regency in East Java, Indonesia. Primary data was collected from 110 maize farmers and analyzed by data envelopment analysis and Tobit regression model. The result of this study claimed that farmers in the research location are technically inefficient because of the technical efficiency level less than one. Furthermore, the result of Tobit regression shows that the farmers’ education level has a significant and positive effect on technical efficiency level. However, the family dependency and farmer group participation have a significant and negative effect on technical efficiency level. This finding can be concluded that farmers need to minimize the input usage to increase the technical efficiency level.
9
Papatheodorou, Theodore, John Giannatsis, and Vassilis Dedoussis. "Evaluating 3D Printers Using Data Envelopment Analysis." Applied Sciences 11, no. 9 (2021): 4209. http://dx.doi.org/10.3390/app11094209.
Full textAbstract:
Data Envelopment Analysis (DEA) is an established powerful mathematical programming technique, which has been employed quite extensively for assessing the efficiency/performance of various physical or virtual and simple or complex production systems, as well as of consumer and industrial products and technologies. The purpose of the present study is to investigate whether DEA may be employed for evaluating the technical efficiency/performance of 3D printers, an advanced manufacturing technology of increasing importance for the manufacturing sector. For this purpose, a representative sample of 3D printers based on Fused Deposition Modeling technology is examined. The technical factors/parameters of 3D printers, which are incorporated in the DEA, are investigated and discussed in detail. DEA evaluation results compare favorably with relevant benchmarks from experts, indicating that the suggested DEA technique in conjunction with technical and expert evaluation could be employed for evaluating the performance of a highly technological system, such as the 3D printer.
10
Barpanda, Saswat, and Neena Sreekumar. "Performance Analysis of Hospitals in Kerala Using Data Envelopment Analysis Model." Journal of Health Management 22, no. 1 (2020): 25–40. http://dx.doi.org/10.1177/0972063420908372.
Full textAbstract:
Performance analysis in any industry plays a vital role in understanding the current scenario and thereby improving the overall efficiency. Using a sample of 20 hospitals randomly selected in Kerala, performance measures of quality were examined as they related to technical efficiency. Efficiency scores for the study hospitals were computed using data envelopment analysis (DEA). The study found that the technically efficient hospitals were performing well as far as quality measures were concerned. DEA can be used to benchmark both dimensions of hospital performance, that is, technical efficiency and quality. The variables selected for the study were divided under input and output measures. Using the DEA model, the factors considered were weighed and analysis was done. The input variables under study are bed number, trained medical staff and services offered. The output variables considered were outpatient rate, mortality rate and number of surgical operations in a month. Through the study, performance of each hospital is measured, and it aims to find out a relation between the input and output variables.
11
Abdullah M. Alsabah, Ahmed D. Alatawi, and Erik Koornneef. "Efficiency evaluation of public hospitals in Kuwait: An application of data envelopment analysis." GSC Advanced Research and Reviews 14, no. 3 (2023): 254–64. http://dx.doi.org/10.30574/gscarr.2023.14.3.0086.
Full textAbstract:
Background: Kuwait overall health expenditure, in 2019, was 5.5% from the gross-domestic product and the state is the biggest healthcare provider in secondary and tertiary hospitals. Hospital efficiency and productivity are, therefore, an important issue to analyse, specifically in terms of number of visits to outpatient clinics, the number of surgical procedures performed, bed turnover and bed occupancy. Data envelopment analysis has been used to provide insights in the understanding of this growth in other countries. Methods: Data envelopment analysis (DEA) was used to estimate technical and scale efficiency scores for seventeen public hospitals in Kuwait from 2015 to 2019 using a two-stage DEA. Technical efficiency scores were regressed against institutional characteristics using Tobit regression to investigate the determinants of efficiency differences amongst hospitals. Results: The mean technical efficiency score for all hospitals was 75%, and it improved by 1% since 2015. The mean pure technical efficiency score was 85% in 2015 and improved to 86% in 2019. The mean scale efficiency score was 89% in 2015 and decreased to 88% in 2019. Only five hospitals were constantly technically and scale efficient. Tobit regression showed that hospital efficiency was significantly associated with the hospital level (secondary or tertiary), number of beds, bed occupancy rate and the average length of stay. Conclusions: Most public hospitals in Kuwait were not technically and scale efficient, but improvements were observed in the overall scores and pure technical efficiencies of these hospitals throughout the study. The identification of the factors influencing efficiency is crucial for hospital managers and policymakers to take evidence-based decisions to improve the technical efficiency of the main health-producing units in the country.
12
Minwir, Al-Shammar, and Seref Turen Dr. "Assessing Relative Efficiency of Islamic Banks in Bahrain: An Application of Data Envelopment Analysis." International Journal of Management Sciences and Business research ISSN 3, no. 10 (2014): 36–47. https://doi.org/10.5281/zenodo.3457729.
Full textAbstract:
The purpose of this paper is to measure the comparative operating efficiency of retail Islamic banks operating in the Kingdom of Bahrain over the sample period 2010-2013. The study employed Data Envelopment Analysis (DEA) model as a non-parametric multi-criteria methodology for assessing relative efficiency of Decision-Making Units (DMUs). The variables considered are the financial information gathered from the financial statements issued by the investigated banks. The paper computes banks technical, pure technical, and scale efficiency scores, areas of efficiency improvements, and composite reference sets of the relatively inefficient banks
13
Sanjeev, Gunjan M. "Data Envelopment Analysis (Dea) for Measuring Technical Efficiency of Banks." Vision: The Journal of Business Perspective 10, no. 1 (2006): 13–27. http://dx.doi.org/10.1177/097226290601000102.
Full text
14
Cloutier, L. Martin, and Robin Rowley. "Relative Technical Efficiency: Data Envelopment Analysis and Quebec's Dairy Farms." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 41, no. 2 (1993): 169–76. http://dx.doi.org/10.1111/j.1744-7976.1993.tb03741.x.
Full text
15
Pradhan, Abhilas Kumar. "Measuring Technical Efficiency in Rice Productivity Using Data Envelopment Analysis." International Journal of Rural Management 14, no. 1 (2018): 1–21. http://dx.doi.org/10.1177/0973005217750061.
Full textAbstract:
The study has made an attempt to measure technical efficiency (TE) in rice productivity in Odisha during the period of 2011–13. An input-oriented data envelopment analysis (DEA) has estimated the average TE score at 79.10 per cent, indicating overuse of critical input resources to the tune of 20.90 per cent. The model found seed and fertilizers use can be reduced to the extent of 4.14 kg/ha and 26.58 kg/ha, respectively, without affecting the current productivity. Malmquist Index analysis for panel data on TE change indicates regress in efficiency for 14 districts, progress for 13 districts and no change for 3 districts. Nevertheless, the mean value of TE change over the study period was found to be 1, pointing neither progress nor regress in input resource utilization. The observed technical inefficiencies in resource use may be attributed to four important factors: (a) very small-sized operational land holding; (b) better off-farm income-generating activities and fluctuations of agricultural product prices; (c) traditional mindset of older farmers; and (d) low degree of involvement of farmers with the cooperative bodies. The DEA results suggest need for adoption of more efficient resource management practices in the state’s rice cultivation scenario.
16
Ketabi, Saeedeh, Hamid Ganji, Samireh Shahin, Mehdi Mahnam, Marzieh Soltanolkottabi, and Shirin Alsadat Hadian Zarkesh Moghadam. "Surgical services efficiency by data envelopment analysis." Benchmarking: An International Journal 22, no. 6 (2015): 978–93. http://dx.doi.org/10.1108/bij-02-2013-0022.
Full textAbstract:
Purpose – Different surgical services demand operating rooms (OR) to treat elective patients, each competing for a limited supply of OR time. The purpose of this paper is to obtain empirical measures of performance in the management of OR. The current research compares technical efficiency of 11 specialties in elective operating theatre of Alzahra Hospital in Isfahan, Iran in autumn of 2009. Design/methodology/approach – Data envelopment analysis (DEA) can be used as tools in management control and planning. First, the input oriented and variable returns to scale model of DEA technique has been applied and separate benchmarks for possible reductions in resources used has been derive, and significant savings are possible on this account. Findings – The efficiency scores of inefficient specialties are between 0.62 and 0.96. Neurosurgery and general surgery are the best and the worst units. DEA results determine by how much hospitals can increase elective inpatient surgeries for each specialty. Originality/value – The originality of this study is to obtain empirical measures of performance in the management of OR. DEA has not been applied to measure the efficiency of different department in an organization. The measures are common in different units and have been collected in a similar way.
17
Mathur, Vijay. "Technical Efficiency of Apparel Industry in India at Firm Level." RESEARCH REVIEW International Journal of Multidisciplinary 4, no. 1 (2019): 160–66. https://doi.org/10.5281/zenodo.2540812.
Full textAbstract:
The current paper analyzed the technical efficiency of Indian textile in Wearing and Apparel firms using Data Envelopment Analysis Model. Data Envelopment Analysis (DEA) is a post ante analysis based on the past performance cross-sectional view of several organizational units in a given single period, as measured by their multiple inputs and outputs. We classify the units into two groups, efficient and inefficient, in the pareto sense. The study finds Individual Proprietorship has higher (grand) technical efficiency (rank-1). In the remaining organization type Partnership (rank-2) had the highest grand efficiency. Then public limited companies and Private Limited Company have a rank of 3 and 4 respectively. Among the selected Indian states firms from the state of Andhra Pradesh performed at higher average levels of technical efficiency with respect to both their state frontier and a grand frontier applicable to firms from all states.
18
Mahmudah, U., S. Suhartono, and A. D. Rohayana. "A Robust Data Envelopment Analysis for Evaluating Technical Efficiency of Indonesian High Schools." Jurnal Pendidikan IPA Indonesia 7, no. 1 (2018): 114–21. http://dx.doi.org/10.15294/jpii.v7i1.9883.
Full textAbstract:
The main purpose of this study is to evaluate the technical efficiency of high school education in Indonesia by applying Data Envelopment Analysis (DEA), which is the most frequently used to measure the efficiency scores. However, this study uses a robust approach to face the complex problem of the traditional DEA, which may lead to biased results. Besides, it is a powerful approach to estimate technical efficiency when outliers contaminate the data set. Statistical data from general senior secondary schools in the period 2015/2016 is analyzed, using 34 provinces as decision-making units (DMUs), with eight input and six output variables. The results indicate that the average efficiency score of Indonesia’s major political subdivisions in managing high school education is 0.936. Furthermore, as many as 32.35 percents of provinces achieve efficient performances, with an efficiency score equal to one, while 17 provinces have above average efficiency scores. The results also indicate that efficiency scores from robust data envelopment analysis provide better accuracy. Overall, application of robust data envelopment analysis (RDEA) is appropriate for measuring the efficiency of provincial performance in organizing secondary education.
19
Tan, Qin Liang, Xing Ping Zhang, and Yong Mei Wei. "Exploring the Changes of Carbon Emissions Performance Using Data Envelopment Analysis." Applied Mechanics and Materials 291-294 (February 2013): 1433–38. http://dx.doi.org/10.4028/www.scientific.net/amm.291-294.1433.
Full textAbstract:
This paper measures the carbon emissions efficiency by using data envelopment analysis. The gross domestic product and carbon emissions are the two outputs, and labor, energy consumption and capital stock are the three inputs in our DEA model. We decompose changes of carbon emissions performance into two contributors: the carbon emissions technical efficiency change and the carbon emissions technical change. For the developing countries mentioned in this paper as a whole, the empirical results indicate that the carbon emissions technical efficiency change is the contributor to carbon emissions performance increase, while the carbon emissions technique change is the component driving carbon emissions performance decrease during 1983-2003. However, the carbon emissions technical efficiency change is the contributor to carbon emissions performance decrease, while the carbon emissions technical change is the driving force to carbon emissions performance increase during 2003-2008.
20
Truc Linh, Le, Diep Thanh Tung, and Luu Thi Thuy Hai. "Data envelopment analysis on efficiency of shallot production in Tra Vinh, Vietnam." Scientific Horizons 27, no. 5 (2024): 122–30. http://dx.doi.org/10.48077/scihor5.2024.122.
Full textAbstract:
Shallot is a perennial crop that is grown as an annual to harvest bulb seeds and produced widely in Vietnam. This is an easy-to-grow crop, suitable for land conditions in the local area and brings high economic efficiency. Although shallot is a relatively new crop to the farmers in Tra Vinh province, it is considered one of the key crops in the agricultural development strategy of the province. This study was conducted to assess the efficiency of shallot farming in Tra Vinh province using data envelopment analysis (DEA) approach. The findings revealed that the average cost efficiency was 0.770 and only five farms (2.5%) were fully cost-efficient. The score for average allocative efficiency was slightly superior to that for technical efficiency (0.917 and 0.838); thus, inefficient shallot farms could reach higher cost efficiency by increasing technical efficiency. Accordingly, factors influencing technical and cost efficiency in shallot production were determined in this study. Household size and cultivation experience of the farmers demonstrated negative effects on the levels of technical and cost efficiency. The analysis further revealed that those shallot farmers who had larger shallot farm sizes and those who had better access to technical training tended to be more technical and cost-efficient. Consequently, this study suggests that research to improve shallot-farming techniques should be prioritised support and the quality of technical training programmes for local farmers needs to be raised to increase the technical and cost efficiency in shallot production
21
Lita, Iulian, and Tănase Stamule. "Using non-parametric technical data envelopment analysis - DEA, for measuring productive technical efficiency." Proceedings of the International Conference on Business Excellence 12, no. 1 (2018): 533–43. http://dx.doi.org/10.2478/picbe-2018-0048.
Full textAbstract:
Abstract The following study is, in addition to a reassessment of literature and an analysis based on non-parametrical techniques based on linear programming. The analysis based on the Data Envelopment Analisys (DEA) technique will be used to see whether the model that we have used has a significant importance, if there are any substantial differences between the efficiency scores obtained or estimated through various methods. The theoretical part, based on the DEA technique will be analysed under the influence of both the works of Farell(1957), and also Charnes, Cooper, Rhodes(1978), Banker, Charnes, Cooper(1984) and other newer models. The dissolution of efficiency scores obtained through the CRS-DEA model has been studied for a long time into two different components: One is linked with the scale inefficiency and the other one represents the pure technical inefficiency. This dissolution can be done by using the CRS model with technology when not all the companies are operating at the optimum level, i.e. through the simultaneous application on the same set of data of the CRS and VRS models. In this study, the main non-parametrical Data Envelopment Analysis method is presented (Wu, Fan, Zhou, Zhou, 2012; Halkos, Tzeremes, 2009) and its application on a group of 42 companies (The headquarters of a top commercial bank in Romania - S.C. BRD GROUPE SOCIÉTÉ GÉNÉRALE ), based on the information gained in the years 2016-2017. This paper is original because it combines the already developed method with new techniques, in order to link together economic factors and operational research and leaves more room for future researches with the purpose of further assessing and changing the performance of every decisional unit under the influence of the environmental factors.
22
Mahmood, Tariq, Ejaz Ghani, and Musleh Ud Din . "Are Our Export-Oriented Industries Technically More Efficient?" Pakistan Development Review 54, no. 2 (2015): 97–121. http://dx.doi.org/10.30541/v54i2pp.97-121.
Full textAbstract:
This paper makes a comparison of technical efficiency scores between groups of exporting and non-exporting industries. Using data from Census of Manufacturing Industries in Pakistan (2005-06), technical efficiency scores of 102 large scale manufacturing industries are estimated. Stochastic Frontier Analysis as well as Data Envelopment Analysis technique are used to estimate technical efficiency scores. In Stochastic Frontier Analysis Translog and Cobb-Douglass Production Functions are specified, whereas in Data Envelopment Analysis technique, efficiency scores are computed under the assumptions of Constant Returns to Scale as well as Variable Returns to Scale. Industries showing high technical efficiency include Tobacco Products, Refined Petroleum Products, Carpets and Rugs, and Meat and Meat Products. Industries showing low technical efficiency include Refractory Ceramic Products, Electricity Distribution and Control Apparatus, Fish and Fish Products, Basic Precious Metals and Aluminum and its Products. Comparison of mean efficiency scores between exporting and non-exporting industries does not indicate any significant difference between efficiency scores across types of industries. JEL Classification: D24, L6, O14, F14 Keywords: Manufacturing Industries, Technical Efficiency, Stochastic Frontier Analysis, Data Envelopment Analysis, International Trade
23
Firmana, Fajar, Rita Nurmalina, and Amzul Rifin. "EFISIENSI TEKNIS USAHATANI PADI DI KABUPATEN KARAWANG DENGAN PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA)." Forum Agribisnis 6, no. 2 (2017): 213–26. http://dx.doi.org/10.29244/fagb.6.2.213-226.
Full textAbstract:
Efficiency is an important aspect for farmer that can be used as a measuring tools to make a decision regarding production among available options. There are many different types of efficiency on the farm businesses level, technical efficiency is the one important to note. The objectives of this research is (1) to describe the farming techniques and the use of paddy production inputs, (2) to evaluate the technical efficiency of paddy farm, and (3) to identify the factors that influence the technical efficiency of paddy farms in Kalibuaya Village, Telagasari district, Karawang regency. To analyze the data, data envelopment analysis (DEA) approach and tobit regression are applied. In 2014 growing season, farmers were did not use the inputs in the right amount as being recommended by the instructor, such as the use of seed and fertilizer. The use of Urea, NPK, and labor had the largest percentage of input slacks when compared to the other production inputs. Farmers could reduce the use of urea by 19,173 kg, NPK by 19,319 kg, and labor by 1,385 HOK to make the paddy farm technically efficient. One of the factors that can greatly influence the improvement of farming technical efficiency is the socio-economic factors. Factors that affecting the technical efficiency of paddy farm in Kalibuaya Village were the age, the level of formal education, the use of organic fertilizers, and farming experience. Using the right amount of inputs as recommended by the government can improve the efficiency of paddy farm.
24
Nellutla, R., R. Ashok, M. Ramesh, and V. V. Haragopal. "Technical Efficiency of Universities in Telangana State through Data Envelopment Analysis (DEA) Approach." European Journal of Mathematics and Statistics 2, no. 6 (2021): 30–39. http://dx.doi.org/10.24018/ejmath.2021.2.6.62.
Full textAbstract:
In this present research paper we analyze the universities data by CCR, BCC models through Data Envelopment Analysis (DEA) approach for the State of Telangana. To know the Performance of student’s university wise in state of Telangana. University wise Performances is presented along with technical efficiency, Pure Technical Efficiency, Scale Efficiency, CRS, VRS, Reference set and Peers. Measuring the Technical Efficiency (TE) and Pure Technical Efficiency (PTE) of the universities by CCR, BCC Model through DEA approach.
25
Darmawan, Rifki, and Dias Satria. "EFISIENSI ASURANSI JIWA SYARIAH: PENDEKATAN DATA ENVELOPMENT ANALYSIS." Islamic Economics and finance in Focus 2, no. 2 (2023): 233–44. http://dx.doi.org/10.21776/ieff.2023.02.02.05.
Full textAbstract:
This research was intended to measure the efficient value of Sharia life insurance in Indonesia with the span of 2018-2021. The data used in this study was 10 Sharia life insurance companies obtained from financial reports each company. The measuring instrument used in this study is a non-parametric type using the Data Envelopment Analysis (DEA) method. The results obtained in this study are that Sharia Life Insurance companies in Indonesia have not reached an efficient level. That's supported by an average technical efficiency value (TE) of 0.72 %, pure efficiency (PTE) of 0.81 %, and scale efficiency (ES ) of 0.87%.
26
Guerrero, Nadia M., Juan Aparicio, and Daniel Valero-Carreras. "Combining Data Envelopment Analysis and Machine Learning." Mathematics 10, no. 6 (2022): 909. http://dx.doi.org/10.3390/math10060909.
Full textAbstract:
Data Envelopment Analysis (DEA) is one of the most used non-parametric techniques for technical efficiency assessment. DEA is exclusively concerned about the minimization of the empirical error, satisfying, at the same time, some shape constraints (convexity and free disposability). Unfortunately, by construction, DEA is a descriptive methodology that is not concerned about preventing overfitting. In this paper, we introduce a new methodology that allows for estimating polyhedral technologies following the Structural Risk Minimization (SRM) principle. This technique is called Data Envelopment Analysis-based Machines (DEAM). Given that the new method controls the generalization error of the model, the corresponding estimate of the technology does not suffer from overfitting. Moreover, the notion of ε-insensitivity is also introduced, generating a new and more robust definition of technical efficiency. Additionally, we show that DEAM can be seen as a machine learning-type extension of DEA, satisfying the same microeconomic postulates except for minimal extrapolation. Finally, the performance of DEAM is evaluated through simulations. We conclude that the frontier estimator derived from DEAM is better than that associated with DEA. The bias and mean squared error obtained for DEAM are smaller in all the scenarios analyzed, regardless of the number of variables and DMUs.
27
Midamba, Dick Chune, Mohamed Takoy Mustaf, and Peter Odongkara. "Analysis of technical efficiency and its determinants among tobacco producers in Uganda: An application of data envelopment analysis." International Journal of Agricultural Research, Innovation and Technology 12, no. 1 (2022): 24–29. https://doi.org/10.3329/ijarit.v12i1.61027.
Full textAbstract:
This study aimed at analyzing technical efficiency and its determinants among tobacco producers in Uganda. To achieve this, primary data were drawn from 200 tobacco farmers using semi-structured questionnaires. In order to determine the technical efficiency and its determinants, Data envelopment analysis and Tobit regression model were used for the analysis respectively. From the results, we observed that the mean TE was 49%, implying that the farmers were 51% inefficient. Furthermore, input prices, land size, farmers’ age, farm income and farm location were found to be the determinants of technical efficiency. This study recommended that the government should subsidize farm inputs as well as training the farmers on input combinations in order to increase technical efficiency level.
28
Sharma, Seema, Kirankumar Momaya, and K. Manohar. "Assessing the Performance of Telecommunication Industry in India: A Data Envelopment Analysis." Journal of International Business and Economy 11, no. 2 (2010): 29–47. http://dx.doi.org/10.51240/jibe.2010.2.2.
Full textAbstract:
Rapid growth of telecommunications in India has been creating opportunities for many players from Asia, Europe and other parts of world. Relative assessment of efficiencies can be used to enhance productivity and competitiveness. In this study an attempt is made to evaluate competitiveness of the telecom industry in India focusing on the efficiency. Input oriented data envelopment analysis is used to measure the relative technical and scale efficiencies of 10 service providers. Further, using output oriented model, the efficiency analysis is extended to 23 service circle areas. From the analysis performed on service providers the technically and scale efficient firms were identified. Technical and scale efficiency were assessed at circle level also. The findings confirm some assumptions and hint at several competitiveness implications for leadership in firms and government.
29
Fu, Liping, Jingtao Yang, and Jeff Casello. "Quantifying Technical Efficiency of Paratransit Systems by Data Envelopment Analysis Method." Transportation Research Record: Journal of the Transportation Research Board 2034, no. 1 (2007): 115–22. http://dx.doi.org/10.3141/2034-13.
Full text
30
González, Martín, Jose J. López-Espín, Juan Aparicio, Domingo Giménez, and Jesús T. Pastor. "Using Genetic Algorithms for Maximizing Technical Efficiency in Data Envelopment Analysis." Procedia Computer Science 51 (2015): 374–83. http://dx.doi.org/10.1016/j.procs.2015.05.257.
Full text
31
Theodoridis, A., A. Ragkos, D. Roustemis, K. Galanopoulos, Z. Abas, and E. Sinapis. "Assessing technical efficiency of Chios sheep farms with data envelopment analysis." Small Ruminant Research 107, no. 2-3 (2012): 85–91. http://dx.doi.org/10.1016/j.smallrumres.2012.05.011.
Full text
32
Ulkhaq, M. Mujiya. "Technical Efficiency of Indonesian Sharia Banks: A Data Envelopment Analysis Approach." Al-Muhasib: Journal of Islamic Accounting and Finance 3, no. 1 (2023): 86–99. http://dx.doi.org/10.30762/almuhasib.v3i1.242.
Full textAbstract:
The existence of competition among sharia banks is one of the effects that occur with the development of sharia banks. The purpose of this study is to analyze the efficiency of Sharia banks in Indonesia. Understanding efficiency is important because if banks are always operating at full efficiency, the fewer inputs they use, the greater the output they achieve. Output is measured by total earning assets, while the inputs used are total deposits and total operating expenses. A data envelopment analysis with input-oriented and variable returns to scale is used to achieve the objective. The result shows that of the twelve Sharia banks studied, four are considered to be the most efficient. Adanya persaingan antar bank syariah merupakan salah satu dampak yang terjadi dengan berkembangnya bank syariah. Tujuan dari penelitian ini adalah untuk menganalisis efisiensi bank syariah di Indonesia. Memahami efisiensi menjadi penting karena jika bank selalu beroperasi pada tingkat efisiensi penuh, maka semakin sedikit input yang mereka gunakan, semakin besar output yang mereka capai. Output diukur dengan total aktiva produktif, sedangkan input yang digunakan adalah total simpanan dan total biaya operasional. Untuk mencapai tujuan tersebut, digunakan analisis data envelopment dengan pendekatan input-oriented dan variable returns to scale. Hasilnya menunjukkan bahwa dari dua belas bank syariah yang diteliti, empat bank dianggap paling efisien.
33
Aliyu, A., J. Usman, I. Usman, and I. Adamu. "Data Envelopment Analysis of Allocative and Technical Efficiencies of Yam Production in Adamawa State." BADEGGI JOURNAL OF AGRICULTURAL RESEARCH AND ENVIRONMENT 4, no. 1 (2022): 21–27. http://dx.doi.org/10.35849/bjare202204002.
Full textAbstract:
The aim of this research was to analyze the allocative and technical efficiency of yam production using data envelopment analysis (DEA). A purposive and simple random sampling technique was used and 100 yam producers were selected using structured questionnaires. A non-parametric Data envelopment analysis was employed and both the allocative and technical efficiencies of the yam producers were investigated and examined. The result revealed that the majority (81% ) of the farmers are male, (39%) fall within the age range of 36-40 years and (75%) had some form of education, 57% had technical efficiency (TE) of (0.81) and above while 43% operate at less than 0.81 efficiency level. The mean technical efficiency was 0.78 while the mean allocative efficiency was 0.98. The result further indicated that yam farmers in the study area have achieved absolute efficiency in the use of variable inputs. Thus, it could be concluded that yam production in the study area was viable in terms of technical and allocative efficiency. It is, therefore, recommended that Government in partnership with the private sector should encourage farmers to increase their technical efficiency in yam production which could be achieved through improved farmer specific efficiency factors, which include improved farmer education, access to credit and access to improved extension services.
34
Ravikmar, undi, and C. S. Dr.Basavaraj. "EFFICIENCY ANALYSIS OF SELECTED PRIVATE SECTOR BANKS IN INDIA USING DATA ENVELOPMENT ANALYSIS." EPRA International Journal of Multidisciplinary Research (IJMR) 5, no. 8 (2019): 31–37. https://doi.org/10.5281/zenodo.3382957.
Full textAbstract:
ABSTRACT Purpose – This paper aims to analyse the efficiency level of selected private sector banks in India. Design/methodology/approach – Data envelopment analysis has been used to measure the efficiency of banks, in which technical, allocative and cost/economic efficiency measures are analysed to know the efficiency of banks. Findings - The empirical evidence suggests that ICICI and Kotak Mahindra banks are the most efficient banks in terms of all three efficiency measures with the mean score of 100 percent. It implies that remaining banks are managerially inefficient due to failure to use the available resources at optimum level. Originality/values – The paper compares the efficiency of selected private sector banks by utilizing the available data set for the period 2013-18.
35
Zamo-Akono, Christian, Mondjeli M. Ndjokou, and Simon Song-Ntamack. "Institutions and Hospital Efficiency in Cameroon: A Data Envelopment Analysis." Journal of African Development 15, no. 1 (2013): 45–71. http://dx.doi.org/10.5325/jafrideve.15.1.0045.
Full textAbstract:
Abstract One of the objectives of the Cameroon Health Sector Strategy is to improve the efficient use of resources in the health sector. To accomplish this goal, the government implemented a series of reforms to improve accountability among the different stakeholders of the health sector. This paper employs data from 54 peripheral public health centre (PHC) from the Cameroon 2004 PETS to examine the extent to which the observed performances of the health sector are related to the institutional reforms. We find that the average technical efficiency score is around 0.7098 and that urban PHC perform better than rural ones. We also find that compact failures have a deterrent effect on the technical efficiency of these PHC and that client-power is an effective way of overcoming these government failures. As competition between public and private healthcare facilities has a negative effect on PHC performances, this study calls for institutional mechanisms that will reduce sorting, promote equal access to quality healthcare services between rich and poor people, and advocates for the participation of the local population in the management of PHC.
36
Tuffahati, Hulwah, Sepky Mardian, and Edy Suprapto. "Pengukuran Efisiensi Asuransi Syariah Dengan Data Envelopment Analysis (DEA)." JURNAL AKUNTANSI DAN KEUANGAN ISLAM 4, no. 1 (2019): 1–23. http://dx.doi.org/10.35836/jakis.v4i1.27.
Full textAbstract:
This research is aimed to measure the efficiency of Islamic Insurance Companies in Indonesia by using Data Envelopment Analysis (DEA). The sample used in this research are the Islamic Insurance Companies that publishes their full financial statements from the years 2012-2014. The variables in this study consists of two kinds of variables, namely input variables and output variables. The variable input is the total assets and the cost of commissions. While the variable output is the gross contribution and investment income. This study uses the intermediation approach with input orientation and use three types of measurements are the measurement of the efficiency of technical efficiency, pure technical and scale. The results of this study are in the groups of Islamic General Insurance Companies and Islamic Life Insurance Companies there are no company that achieve optimal efficiency levels in the three types of measurements.Whereas in the group Syariah General Insurance Unit are 2 companies optimally efficient in 3 measurements or by 28.57% of the total companies sampled in this group. And the group Syariah Life Insurance Unit are 4 companies optimally efficient in 3 measurements or 25% of total companies sampled in this group.
37
Darko, Evans, Nadia Saghi-Zedek, and Gervais Thenet. "Technical and economic efficiency measurement of African commercial banks using data envelopment analysis (DEA)." Management Science Letters 15, no. 3 (2025): 143–54. http://dx.doi.org/10.5267/j.msl.2024.5.007.
Full textAbstract:
The paper aims to analyze the Technical Efficiency of 70 Commercial banks from 19 African countries from 2009-2020. Using the Data Envelopment Analysis (DEA) method of the two main approaches, Variable Return to Scale (VRS) and Constant Return to Scale (CRS) technique on a Panel Data. We find that African banks have a higher efficacy assessment with the VRS than the CRS technique, thus, with a Pure Technical Efficiency (PTE) score than Technical Efficiency (TE) . Our findings show that the majority of the banks are operating at very low levels of efficiency (not technically efficient), and inability to optimize the conversion of bank assets and liabilities into loan production for customers. Furthermore, the banks are operating inefficiently in scale, economic, and allocative manner due to mismatches in scale of production. Considering these findings, the implications of these inefficiencies extend to the overall economic development and financial stability of the region.
38
Dolgikh, Y. V. "Analysis of the Efficiency of Educational Resources Use by Higher Education Institutions Using the Method of Data Envelopment Analysis." Èlektronnoe modelirovanie 47, no. 2 (2025): 108–26. https://doi.org/10.15407/emodel.47.02.108.
Full textAbstract:
The features of applying the Data Envelopment Analysis (DEA) method for analyzing the effi-ciency of scientific and publishing activities of agricultural higher education institutions (HEIs) of Ukraine are determined, the optimal parameters of educational resources are determined. To analyze the effectiveness, it is recommended to choose the VRS-input-oriented model, as well as input and output factors that characterize the specifics of scientific and journalistic activi-ties. According to the results, in 2023, 35% of Ukrainian agricultural higher education institu-tions had the maximum net technical efficiency of scientific and journalistic activities. The av-erage net technical efficiency of Ukrainian agrarian higher education institutions in 2023 was 0,9. Based on the estimated values of efficiency, the rating of agricultural HEIs for 2023 was compiled. It has been determined that most agrarian HEIs operate in the IRS zone, which indi-cates the need to increase the scale of their activities. The optimization of resources for ineffi-cient HEIs according to the DEA method is recommended.
39
Mahmood, Tariq. "Effects of Input Composition on Technical Efficiencies of Textile Industries in Pakistan." Pakistan Development Review 51, no. 2 (2012): 117–30. http://dx.doi.org/10.30541/v51i2pp.117-130.
Full textAbstract:
This paper studies the technical efficiencies of the textile manufacturing industries in Pakistan using 5-digit level industry data. Technical efficiencies are computed by the Data Envelopment Analysis technique assuming constant as well as variable returns to scale. The efficiency scores thus obtained are analysed by the TOBIT regression technique to determine how input composition influences these efficiency scores. It is found that imported raw material and machinery exercises a positive effect, whereas non-industrial costs affect technical efficiencies in a negative way. Electricity does not play its due role in affecting technical efficiencies. JEL Classification: C24, D24, L6, O14 Keywords: Technical Efficiency, Data Envelopment Analysis, TOBIT Analysis, Manufacturing Industries
40
Hestina, Juni, Rita Nurmalina, and Suharno Suharno. "ANALISIS EFISIENSI TEKNIS USAHATANI PADI DI JAWA DAN LUAR JAWA : PENDEKATAN DATA ENVELOPMENT ANALYSIS (DEA)." Forum Agribisnis 7, no. 2 (2017): 103–20. http://dx.doi.org/10.29244/fagb.7.2.103-120.
Full textAbstract:
Efficiency is an important aspect for farmer that can be used as a measuring tools to make a decision regarding production among available options. The objectives of this research is to evaluate the technical efficiency of paddy farming, and to identify the factors that influence the technical efficiency of paddyfarms in Jawa and outside Jawa. To analyzed the data, data envelopment analysis (DEA) approach and tobit regression were applied. Farmers were not use the the right amount of inputs as being recommended by the instructor, such as the use of seed, fertilizer NPK and urea. The use of Urea, NPK, and labor had the largest percentage of input slacks when compared to the other production inputs. Farmers in Jawa could reduce the use of urea by 6.75 kg, NPK by 14.96 kg, and labor by 7.45 HOK and farmers in outside Jawa could reduce the use of urea by 32.37 kg, NPK by 6.01 kg, and labor by 15.93 HOK to make the paddy farm technically efficient. One of the factors that can greatly influence the improvement of farming technical efficiency is the socio-economic factors. Factors that affecting the technical efficiency of paddy farm in Jawa were the age, the level of formal education, member of Farming group and the number of members in the household, and do not significantly affect the technical efficiency of paddy farm is acces formal finance, and ectention. Factors that affecting the technical efficiency of paddy farm in outside Jawa were the age, the level of formal education, and member of Farming group and, and do not significantly affect the technical efficiency is the number of members in the household, acces formal finance, and ectention.
41
Ibrahim, Mustapha D., and Sahand Daneshvar. "Efficiency Analysis of Healthcare System in Lebanon Using Modified Data Envelopment Analysis." Journal of Healthcare Engineering 2018 (July 2, 2018): 1–6. http://dx.doi.org/10.1155/2018/2060138.
Full textAbstract:
The inflow of refugees from Syria into Lebanon necessitates a robust and efficient healthcare system in Lebanon to withstand the growing demand for healthcare service. For this purpose, we evaluate the efficiency of healthcare system in Lebanon from 2000 through 2015 by applying a modified data envelopment analysis (DEA) model. We have selected four output variables: life expectancy at birth, maternal mortality ratio, infant mortality rate, and newly infected with HIV and two input variables: total health expenditure (% of GDP) and number of hospital beds. The findings of the paper show improvement in the efficiency of the healthcare system in Lebanon after the widespread of the health system reform in 2005. It also shows that reduction in health expenditure does not necessarily reduce efficiency if operational and technical aspect of the healthcare system is improved. The study infers that the healthcare system in Lebanon is capable of withstanding the increase in health demand provided further resources are made available and the existing technical and operational improvement are maintained.
42
Baran, Joanna, and Aleksandra Górecka. "Seaport efficiency and productivity based on Data Envelopment Analysis and Malmquist Productivity Index." Logistics & Sustainable Transport 6, no. 1 (2015): 25–33. http://dx.doi.org/10.1515/jlst-2015-0008.
Full textAbstract:
Abstract Seaport efficiency and productivity are the critical factors for handling of goods in the international supply chains and plays an important role in trade exchange with other countries. It is important to evaluate efficiency and productivity of seaports to reflect their status and reveal their position in competitive environment. The main purpose of this article is to use Data Envelopment Analysis and Malmquist Productivity Index to measure the technical efficiency and total factor productivity of container ports. DEA analysis enables one to assess how efficiently a seaports uses the available inputs to generate a set of outputs relative to other units in the data set. This article presents the use CCR and BCC DEA model, to determine overall technical efficiency, pure technical efficiency and scale efficiency of container ports. The analysis gives a possibility to create a efficiency ranking of seaports. The study also applies the Malmquist Productivity Index (MPI), which was used to analyze changes in seaports productivity. The study indicated that technological progress had a greater impact on the change in productivity of container ports than changes in technical efficiency.
43
Harya, Gyska Indah, Nuhfil Hanani, Rosihan Asmara, and Abdul Wahib Muhaimin. "Study of Technical Efficiency of The Cocoa Industry Using Data Envelopment Analysis." RIVAR 11, no. 33 (2024): 130–45. http://dx.doi.org/10.35588/rivar.v11i33.6257.
Full textAbstract:
The processed cocoa agroindustry is entering a new phase of hypercompetitive business where all companies focus on becoming low-cost producers. The problem becomes complex, with the tendency to decrease business units yearly. This study aims to determine which decision-making units (DMUs) have technical efficiency in producing processed cocoa products sustainably. Researchers used purposive sampling to determine research locations, questionnaires and interviews to collect data, and Data Envelopment Analysis (DEA) to analyze data. The study results show that all DMUs produce different percentages of technical efficiency, so they are categorized into three types: high, medium, and low. The score distribution shows thirty efficient DMUs and seven inefficient DMUs. In order to achieve operational efficiency and stability of DMU, it is necessary to improve the allocation of cocoa raw material input, labor costs, and industrial capital input. The conclusion is that industrial efficiency has a vital role in the existence of DMU if it can pay attention to the quality and quantity of production at an optimal efficiency scale and can meet domestic and export demand so that it is competitive in global markets.
44
Araujo dos Santos, João Paulo, Luiz Honorato Da Silva Júnior, and André Nunes. "Efficiency in Brazilian Federal Universities: a study with Data Envelopment Analysis (DEA)." Desenvolvimento em Questão 20, no. 58 (2022): e12286. http://dx.doi.org/10.21527/2237-6453.2022.58.12286.
Full textAbstract:
This paper aimed to analyze the level of technical efficiency of Brazilian federal universities, from 2012 to 2018, using the Data Envelopment Analysis (DEA) method, with an output-oriented DEA BCC model. Four management indicators instituted by TCU were used as inputs and two quality indicators, as outputs. For that, a sample of 56 federal universities was used. Considering the standard efficiency scores, the results indicated high levels of technical efficiency during the years under analysis. The average technical efficiency of federal universities was 93.7% in 2012, with 17 efficient universities, and 94.5% in 2018, with 18 efficient universities. The years 2015 and 2016 stood out, with 28 and 27 efficient universities respectively, whose national averages were 96.1%. However, due to the benevolence of the BCC model with very small or very large units, some universities may have been considered efficient by default. From 2012 to 2018, the Malmquist Index indicated an increase in the productivity of universities by 2.2%, which occurred in a greater proportion due to the catch-up effect (1.8%) and in a lower proportion by the frontier shift effect (0.4%). In addition, the increase of 1.8% in relative efficiency occurred in a greater proportion due to the increase in pure technical efficiency (1.1%) and in a lower proportion due to the increase in scale efficiency (0.7%). Yet, despite the increase in productivity, there is still room to achieve better quality results and to improvements in the management of resources, in order to reduce waste.
45
Prakash, V., J. Rajesh, and M. Thilagam. "Technical Efficiency of State Road Transport Undertakings in India - Data Envelopment Analysis." International Journal of Productivity Management and Assessment Technologies 1, no. 2 (2012): 31–42. http://dx.doi.org/10.4018/ijpmat.2012040103.
Full textAbstract:
Data envelopment analysis (DEA) is a method of analyzing the relative efficiency of similar types of organizations known as decision making units (DMU’s). In this paper, DEA model is applied to evaluate the relative technical efficiency of state road transport undertakings (SRTU’s) in India during the period 2011-2012. The authors have considered thirty-four SRTU’s functioning in India. The variables chosen to characteristic production units are the number of fleet held, staff strength and fuel efficiency as inputs and Passengers carried as output. The BCC model is input- oriented allowing for variable returns to scale (VRS), units are ranked and the projection analyses are given.
46
Mercan, Metin. "Technical and Scale Efficiency of Banks in Georgia. Using Data Envelopment Analysis (DEA)." Journal of Business 9, no. 1 (2020): 62–69. http://dx.doi.org/10.31578/.v9i1.172.
Full textAbstract:
This paper uses data envelopment analysis (DEA) to analyze the efficiency of the Georgian commercial banks from 2011 to 2018 years. Paper analyses the scale and technical efficiency of banks. The results show that banks efficiencies are not much changed in sample years, average efficiency is 0.67 while scale efficiency is 0.877. The results also reveal the input excess and output shortfalls. Banks in Georgia has highly input excess compared to results in other findings.
47
Mercan, Metin. "Technical and Scale Efficiency of Banks in Georgia. Using Data Envelopment Analysis (DEA)." Journal of Business 9, no. 1 (2020): 62–69. http://dx.doi.org/10.31578/job.v9i1.172.
Full textAbstract:
This paper uses data envelopment analysis (DEA) to analyze the efficiency of the Georgian commercial banks from 2011 to 2018 years. Paper analyses the scale and technical efficiency of banks. The results show that banks efficiencies are not much changed in sample years, average efficiency is 0.67 while scale efficiency is 0.877. The results also reveal the input excess and output shortfalls. Banks in Georgia has highly input excess compared to results in other findings.
48
Setyaningrum, Widyadhari Febriani, Titik Ekowati, and Budi Adi Kristanto. "THE EFFICIENCY OF SUGARCANE (Saccharum officinarum) FARMS USING THE DEA (DATA ENVELOPMENT ANALYSIS) APPROACH IN PURWOREJO REGENCY." Agrisocionomics: Jurnal Sosial Ekonomi Pertanian 4, no. 2 (2020): 330–35. http://dx.doi.org/10.14710/agrisocionomics.v4i2.5833.
Full textAbstract:
The research was purposed to know the technical efficiency level of sugarcane farming in Purworejo regency. The research method used DEA (Data Envelopment Analysis) with the input-oriented assumption to measure the efficiency score from each observed farming. The result of the research showed most of the sugarcane farming in Purworejo regency was categorized as inefficient. According to DEA-CRS calculation, there were 11 sugarcane farming 19,3 %) who have operated efficiently and 46 sugarcane farming (80,7%) have not operated efficiently yet (inefficient). The efficiency calculation using Variable Return To Scale (VRS) assumption resulted in an average efficiency value of 0.937. Efficiency was reached by 21 people (36.84%) while the other 36 people (63.16%) still have not reached efficiency yet.
49
Guru, Dr Shivani. "Ranking and Measuring the Efficiency of AI Tools using Data Envelopment Analysis." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem03920.
Full textAbstract:
Abstract The study evaluates the technical efficiency of ten leading Artificial Intelligence (AI) tools using Data Envelopment Analysis (DEA), a non-parametric operations research methodology. DEA assesses the relative performance of AI platforms using inputs like model complexity and computational demands against outputs such as response accuracy and user utility. An input oriented Constant Returns to Scale (CCR) model and a Super-Efficiency DEA model were employed to identify and rank efficient tools. The findings reveal that eight of the ten AI tools are technically efficient, with Claude AI emerging as the most super-efficient. The research provides performance benchmarks and managerial insights, facilitating strategic decision making in AI tool adoption and development. Keywords: DEA, AI Tools, DEA Super efficiency, Ranking, Benchmarking
50
Razi, Nor Faezah Mohamad, Norhayati Baharun, and Suraya Masrom. "Efficiency in academic evaluation: data envelopment analysis systematic review." International Journal of Evaluation and Research in Education (IJERE) 13, no. 4 (2024): 2450–60. https://doi.org/10.11591/ijere.v13i4.26956.
Full textAbstract:
Education 5.0@UiTM is transforming Universiti Teknologi MARA (UiTM). This new approach emphasizes flexible learning paths that teach life and cross-disciplinary skills. To make higher education future-ready, universities must adapt fast to the significant global and technical changes caused by the 4th Industrial Revolution and transition from content-based to individualized learning. To ensure students meet Education 5.0@UiTM standards and corporate needs, the evaluation process must be reviewed. Competency-based academic achievement evaluation outperforms grades. This assessment is rarely systematically analyzed. This study was conducted to thoroughly explore the selection of input and output factors in determining student achievement efficiency using the data envelopment analysis (DEA) approach. The study reviewed publications from Scopus, Google Scholar, and Science Direct and found six themes for input variables: human resources, facilities condition and equipment, finance, curriculum, students characteristics, and community resources. output variables included student achievement, satisfaction, graduation rate, employment, research, and community resources. In DEA analysis, input and output selection affects scope, aim, production frontier, efficiency scores, accuracy and completeness. So, characterizing student achievement requires choosing relevant input and output variables. This study can enhance student evaluation processes to prepare college graduates for the next industrial revolution.