scholarly journals Pengukuran Efisiensi Perbankan: Studi Kasus Kelompok Bank Buku I Dan Buku II

2018 ◽  
Vol 11 (2) ◽  
pp. 188-201
Author(s):  
Teguh Santoso
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Parametric Method ◽  
Data Envelopment ◽  
Operational Approach ◽  
Efficiency Calculation ◽  
Non Parametric

This study aims to measure the technical efficiency of banks (BUKU I and BUKU II categories). The efficiency calculation in this study uses Non-Parametric method, Data Envelopment Analysis (DEA). This research uses an operational approach in performing input and ouput specifications. The inputs are interest expenses, labor expenses, and other expenses. The result of technical efficiency calculation shows that both banks in BUKU I and BUKU II have less efficient in technical efficiency value, either with the assumption of CRS or VRS. However, the value of technical efficiency indicates that BUKU II banks have greater technical efficiency value than the banks in BUKU I category.

scholarly journals Evaluation of the technical efficiency in the production of National Cocoa in the main cantons of the province of Guayas

2021 ◽  
Vol 25 (110) ◽  
pp. 14-22
Author(s):  
Martha Bucaram Levarone ◽  
Francisco Quinde Rosales ◽  
Joy Mayorga Ramos ◽  
Martha Bueno Quinonez
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Stochastic Frontier ◽  
Allocative Efficiency ◽  
Productive Efficiency ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Simon Bolivar ◽  
Non Parametric

A comparative analysis of the technical efficiency in the production of national cocoa among the main producing cantons of the province of Guayas was carried out. For this, the study was based on an analysis with inductive reasoning and empirical-analytical paradigm, through the elaboration of surveys to 361 UPA's in the cantons of: Milagro, San Jacinto de Yaguachi, El Empalme, Alfredo Baquerizo Moreno, Naranjal and Simón Bolívar; these data served as the basis for the elaboration of the Data Envelopment Analysis (DEA) model. The results show that on average, the Simón Bolívar canton is the canton with the highest technical efficiency, with 50% of the total UPAs surveyed in the range of 70% and 99% effectiveness. Finally, regarding the observed averages of allocative efficiency, it can be concluded that Jujan has the highest average with 75%. Keywords: Technical and Allocative Efficiency, National Cocoa, Enveloped Data Analysis, Non Parametric Method. References [1]M. Naranjo., «Un Puerto en busca de una Nación, Guayaquil y la idea fundacional del Ecuador como país,» de Seminario Internacional Poder, Política y Repertorios de la Movilización Social en el Ecuador Bicentenario, Quito, 2009. [2]S. C. Mogro, V. Andrade-Díaz y D. P.-. Villacís, «Posicionamiento y eficiencia del banano, cacao y flores del Ecuador en el mercado mundial,» Revista Ciencia UNEMI, vol. 9, nº 19, pp. 48-53, 2016. [3]M. Vassallo, Diferenciación y agregado de valor en la cadena ecuatoriana del cacao, Quito: Editorial IAEN, 2015. [4]M. Pigache y S. Bainville, Cacao tipo ‘Nacional’ vs. Cacao CCN51: ¿Quién ganará el partido?, Quito: Ird Editions, 2007. [5]M. Chiriboga, Jornaleros, grandes propietarios y exportación cacaotera, Quito: Universidad Andina Simón Bolívar, 2013. [6]A. Acosta., Breve Historia Económica del Ecuador, Quito: Editora Nacional, 2006. [7]M. Espinoza y Y. Arteaga., «Diagnóstico de los Procesos de Asociatividad y la Producción de Cacao en Milagro y sus sectores aledaños,» Revista Ciencia UNEMI, vol. 8, nº 14, pp. 105-112, 2015. [8]E. Romero, M. Fernández, J. Macías y K. Zúñiga, «Producción y comercialización del cacao y su incidencia en el desarrollo socioeconómico del cantón Milagro,» Revista Ciencia UNEMI, vol. 9, nº 17, pp. 56-64, 2016. [9]e. I. I. d. C. A. Ministerio de Agricultura y Ganadería, La Agroindustria en el Ecuador. Un diagnóstico integral, Quito: IICA, 2006. [10]R. Rodríguez, M. Brugiafreddo y E. Raña., «Eficiencia técnica en la agricultura familiar: Análisis envolvente de datos (DEA) versus aproximación de fronteras estocásticas (SFA),» Nova Scientia, vol. 9, nº 18, pp. 342-370, 2017. [11]A. Resti., «Evaluating the cost-efficiency of the Italian banking system: what can be learned from the joint application of parametric and non-parametric techniques,» Journal of Banking & Finance, vol. 21, nº 2, pp. 221-250, 1997. [12]T. Coelli y S. Perelman, «A Comparison Of Parametric And Non-Parametric Distance Functions: With Application To European Railways,» European Journal Of Operational Research, vol. 117, nº 2, pp. 326-339, 1999. [13]B. Iráizoz, M. Rapún y I. Zabaleta., «Assessing the technicalb efficiency of horticultural production in Navarra, Spain,» Agricultural Systems, vol. 78, nº 3, pp. 387-403, 2003. [14]K. Sharma, S. Ping y H. Zaleski., «Productive efficiency of the swine industry in Hawaii,» Research Series, vol. 77, pp. 1-24, 1996. [15]D. Tingley, S. Pascoe y L. Coglan, «Factors affecting technical efficiency in fisheries: Stochastic Production Frontier versus Data Envelopment Analysis approaches,» Fisheries Research, vol. 73, nº 3, pp. 363-376, 2005. [16]H. Johansson, «Technical, allocative and economic efficiency in Swedish dairy farms: the Data Envelopment Analysis versus the Stochastic Frontier Approach,» de Poster background paper prepared for presentation at the XIth International Congress of the European Association of Agricultural Economists (EAAE), Copenhagen, 2005. [17]F. Madau, «Technical and scale efficiency in the Italian Citrus Farming: A comparison between Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) Models,» Munich Personal RePEc Archive (MPRA), vol. 41403, nº 18, pp. 1-25, 2012. [18]E. A. S. d. Pedro, Nivel de competitividad y eficiencia de la producción ganadera, Córdoba: Tesis doctoral. Departamento de Producción Animal, 2013. [19]F. Bacon, Novum Organum, Londres, 1620. [20]Seminario Metodología de la Investigación, Bogota: Facultad de Ciencias Económicas, Universidad Nacional de Colombia, 2015.  

scholarly journals Measuring and Analyzing the Technical Efficiency of Bulgarian Municipalities – an Application of Data Envelopment Analysis (DEA)

2021 ◽  
Vol 27 (3) ◽  
pp. 5-17
Keyword(s):  
Data Envelopment Analysis ◽  
Public Sector ◽  
Technical Efficiency ◽  
Public Services ◽  
Negative Impact ◽  
Local Level ◽  
Parametric Method ◽  
Data Envelopment ◽  
Global Trends ◽  
Use Of Resources

Going through a series of crisis and post-crisis periods over the last twenty years has had a serious negative impact on public finances around the world, while at the same time the pressure on all levels of public sector governance to deliver more and better public services is growing. This requires a rethinking of the way public services are provided and funded, and efforts to improve performance through more efficient use of resources, and especially at local government level. On the one hand, as a result of global trends in decentralization, more and more spending responsibilities have been transferred to the local public sector and it has become a major provider of public services. On the other hand, the performance of local authorities is also one of the factors determining the decision of individuals and businesses to leave one local unit and choose another that offers better services at lower prices (lower tax burden). The present study aims to measure and evaluate the technical efficiency of Bulgarian municipalities through the application of the non-parametric method Data Envelopment Analysis (DEA). The results of the calculations of the technical efficiency of municipalities in Bulgaria show significant cost efficiency differences between local territorial units. In general, the management at the local level does not use effectively about 25% of their expenditures. The largest number of municipalities operate under increasing return of scale, and these are mostly small local territorial units.

scholarly journals EFFICIENCY PERFORMANCE ANALYSIS OF PANIN DUBAI SYARIAH BANK IN COLLECTING AND DISTRIBUTING THIRD PARTY FUNDS BEFORE AND AFTER MERGER

2019 ◽  
Vol 5 (1) ◽  
pp. 46-56
Author(s):  
Supriyono Supriyono ◽  
Ahmad Rodoni ◽  
Yacop Suparno ◽  
Hermadi Hermadi ◽  
Hilyatun Nafisah
Keyword(s):  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Third Party ◽  
Programming Approach ◽  
Data Envelopment ◽  
Linear Programs ◽  
Parametric Approach ◽  
Free Disposal Hull ◽  
Free Disposal ◽  
Non Parametric

In this study, the researcher would make Panin Dubai Syariah Bank was the object of research on Islamic banks that carry out mergers and acquisitions. This research by using quarterly financial reports to determine the level of efficiency of the Panin Dubai Syariah Bank to be analyzed using the Data Envelopment Analysis (DEA) method. The researcher was used the annual report to find out the extent the Panin Dubai Syariah Bank carries out its Shariah values and objectives to be analyzed based on the Maqashid Index Sharia. The frontier approach can be divided into parametric approaches and non-parametric approaches. The parametric  approach  takes  measurements  using  stochastic  econometrics  and  seeks  to  eliminate interference from the effects of inefficiency. While the non-parametric approach with linear programs ( non-parametric linear programming approach ) performs non-parametric measurements using an approach is not stochastic and tends to combine the interference into inefficiency. This is based on the discovery and observation of the population and evaluates efficiency relative to the units observed. In the non- parametric method, the approaches that can be used are Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). The results of the measurement of Bank Panin Dubai Syariah using DEA indicate that the decision to merge carried out by Panin Syariah Bank with Dubai Islamic Bank was the right decision because, with the merger, Panin Dubai Syariah Bank could produce almost perfect efficiency value of 99% in the year 2015. With doing the merger, Bank Panin Dubai Syariah can minimize the inefficiencies that occur in the input variable so that it can maximize the efficiency that occurs in the output variable

scholarly journals Technical Efficiency of Pakistan’s Manufacturing Sector: A Stochastic Frontier and Data Envelopment Analysis

2007 ◽  
Vol 46 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Musleh-Ud Din ◽  
Ejaz Ghani ◽  
Tariq Mahmood
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Large Scale ◽  
Manufacturing Sector ◽  
Stochastic Frontier ◽  
Data Envelopment ◽  
Industrial Groups ◽  
Production Frontiers ◽  
Non Parametric

This paper examines the efficiency of the large-scale manufacturing sector of Pakistan using parametric as well as non-parametric frontier techniques. Production frontiers are estimated for two periods─1995-96 and 2000-01─for 101 industries at the 5-digit PSIC. The results show that there has been some improvement in the efficiency of the large-scale manufacturing sector, though the magnitude of improvement remains small. The results are mixed at the disaggregated level: whereas a majority of industrial groups have gained in terms of technical efficiency, some industries have shown deterioration in their efficiency levels. The results from both the approaches are consistent, and in line with similar studies.

Efficiency of Football Clubs in Poland

2016 ◽  
Vol 11 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Artur Wyszyński
Keyword(s):  
Data Analysis ◽  
Data Envelopment Analysis ◽  
Parametric Method ◽  
Data Envelopment ◽  
Improve Efficiency ◽  
Football Clubs ◽  
Efficiency Ranking ◽  
Ranking Order ◽  
Optimum Input ◽  
Non Parametric

This article evaluates the diversity in the level of efficiency of football clubs which played matches in the top-level football league in Poland in the 2014/2015 season - the Polish First Division (Ekstraklasa). The efficiency was measured with the use of the non-parametric method of frontier data analysis (DEA - Data Envelopment Analysis). The results of the measurement indicate that the efficiency of the Polish First Division is varies widely. More than one-third of clubs (inefficient ones) incur excessively high expenditures (salaries) in relation to the actually produced output. The study found that the technology of efficient clubs is based, first of all, on generating much higher revenues in relation to the players' salary costs. This allows the efficient clubs to more effectively (in comparison to non-efficient clubs) convert their input into output. Identifying the differences in efficiency using established benchmarking factors resulted in determining the optimum input levels for inefficient clubs and indicating the clubs where activities to improve efficiency should be undertaken. The result of the research is an efficiency ranking order for the football clubs covered by the analysis.

scholarly journals THE EFFICIENCY OF SUGARCANE (Saccharum officinarum) FARMS USING THE DEA (DATA ENVELOPMENT ANALYSIS) APPROACH IN PURWOREJO REGENCY

2020 ◽  
Vol 4 (2) ◽  
pp. 330-335
Author(s):  
Widyadhari Febriani Setyaningrum ◽  
Titik Ekowati ◽  
Budi Adi Kristanto
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Research Method ◽  
Saccharum Officinarum ◽  
Efficiency Score ◽  
The Other ◽  
Data Envelopment ◽  
Average Efficiency ◽  
Efficiency Calculation ◽  
Sugarcane Farming

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.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

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.

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