scholarly journals A Non-Parametric Analysis of Technical Efficiency in Bulgarian Farms Using the Fadn Dataset

2018 ◽  
Vol 10 (1) ◽  
pp. 58-73 ◽  
Author(s):  
Nicola Galluzzo
Keyword(s):  
Technical Efficiency ◽  
Rural Areas ◽  
Positive Impact ◽  
Data Envelopment ◽  
The European Union ◽  
Annual Survey ◽  
Farm Accountancy Data Network ◽  
Significant Phenomenon ◽  
Research Findings ◽  
Non Parametric

AbstractThe Bulgarian countryside has suffered a significant phenomenon of rural emigration since the early 1970s. The main consequence of rural depopulation has been a decline of investments in Bulgarian farms and in their own level of technical and economic efficiency. The aim of this research was to assess afterwards the enlargement of the European Union in 2007, the technical efficiency by a non-parametric approach such as the Data Envelopment Analysis (DEA), using some findings and variables investigated in the Farm Accountancy Data Network annual survey from 2007 till 2015. Farms have been stratified into functions of their typology of farming and their geographical localization. Research findings have pointed out that specialized farms as dairy farms and granivores ones have had the highest levels of technical efficiency compared to mixed farms and wine farms. To sum up, financial subsidies allocated by the Common Agricultural Policy have had a positive impact towards farmers, both increasing the technical efficiency and also in reducing the socio-economic marginalization of Bulgarian rural areas.

scholarly journals Medium Term Analysis of Technical and Allocative Efficiency in Romanian Farms Using FADN Dataset

2017 ◽  
Vol 74 (1) ◽  
pp. 83
Author(s):  
Nicola GALLUZZO
Keyword(s):  
Technical Efficiency ◽  
New Technologies ◽  
Allocative Efficiency ◽  
The European Union ◽  
Data Network ◽  
Rural Space ◽  
Annual Survey ◽  
Farm Accountancy Data Network ◽  
Agricultural Areas ◽  
The Impact

The Farm Accountancy Data Network is an annual survey proposed by the European Union in order to estimate the impact of the Common Agricultural Policy on farmers. Lots of scholars have investigated the technical, economical and allocative efficiency using a non parametric approach such as the Data Envelopment Analysis (DEA) in Romanian farms throughout the Farm Accountancy Data Network dataset pointing out poor levels of technical efficiency, which were lower than the average European value. The purpose of this study was to assess using DEA approach technical, economic and allocative efficiency in Romanian farms part of the FADN dataset over six year time from 2007 to 2012. Findings pointed out an increase of technical efficiency compared to previous studies, as a consequence of a significant turn over of a younger high skill and qualified farmers generation. Poor land capital, in terms of utilized agricultural areas, connected to an increase of new technologies, was the downside of Romanian farms and this implied that the National Rural Development Plan should  have taken into account financial subsides in order to implement agricultural areas scattered in Romanian rural space. 

scholarly journals Performance of Village Unit Co-Operatives in Yogyakarta Special Region: A Data Envelopment Analysis Approach

2017 ◽  
Vol 1 (2) ◽  
pp. 067
Author(s):  
Abi Pratiwa Siregar ◽  
Jamhari Jamhari ◽  
Lestari Rahayu Waluyati
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Best Practice ◽  
Negative Impact ◽  
Positive Impact ◽  
Three Dimensions ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Rice Milling ◽  
Special Region

This study assessed the performance of 32 village unit co-operatives (KUD) in Yogyakarta Special Region during 2011 to 2012. The efficiency level of the KUD were evaluated by employing the data envelopment analysis and multiple regression analysis using panel data to determine the factors affecting efficiency level. Efficiency analysis was decomposed into three dimensions to explore possible sources of inefficiency. According to Marwa and Aziakpono (2016), the first dimension was technical efficiency, which explored the overall effectiveness of transforming the productive inputs into desired outputs compared to the data-driven frontier of best practice. The second dimension was pure technical efficiency, which captured managerial efficiency in the intermediation process. The third dimension was scale efficiency, which explored whether KUD were operating in an optimal scale of operation or not. The results found that the average scores are 64%, 92%, and 68% for technical, pure technical, and scale efficiency respectively in 2011, while in 2012 the average scores are 57%, 94%, and 60% for technical, pure technical, and scale efficiency. Factors having significantly positive impact on several measures of efficiency are incentive and dummy variables (agriculture inputs and hand tractor). Accounts receivable only has positive relationship to pure technical efficiency. On the other hand, rice milling unit and electricity services have negative impact with several measures of efficiency.

scholarly journals The Analysis of Tuberculosis Funds Efficiency on High Burden Countries

2019 ◽  
Author(s):  
Estro Dariatno Sihaloho ◽  
Adiatma Y.M Siregar
Keyword(s):  
Technical Efficiency ◽  
High Efficiency ◽  
Positive Impact ◽  
Data Envelopment ◽  
High Burden ◽  
Marginal Effects ◽  
Dea Method ◽  
Low Efficiency ◽  
Using Data ◽  
Global Health Problem

Tuberculosis remains a major global health problem and ranks as the second leading cause of death from infectious disease worldwide. Countries devote their budgets to overcome the tuberculosis problem. An efficient use of these budgets will arguably reduce the number of tuberculosis cases and eventually give a positive impact to the economy. This paper aims it aims to estimate the technical efficiency scores of tuberculosis funds on high-burden countries by using Data Envelopment Analysis(DEA) method. Further, this study analyzes other environmental factors that are crucial to increase the efficiency scores by using Tobit method. DEA shows that some countries exhibit high efficiency scores while others exhibit low efficiency scores. It also informs how countries use funds to maximize their results. Meanwhile, the Tobit estimation shows that taxing cigarettes and committing budgets to control tobaccos have positive marginal effects on technical efficiency scores.

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.

Technical Efficiency Through Innovative Methods and Estimations in Financial Markets

2021 ◽  
pp. 55-70
Author(s):  
Aikaterini Kokkinou
Keyword(s):  
Financial Markets ◽  
Technical Efficiency ◽  
Stochastic Frontier Analysis ◽  
Stochastic Frontier ◽  
Productive Efficiency ◽  
Data Envelopment ◽  
Frontier Analysis ◽  
Parametric Data ◽  
Efficiency Estimation ◽  
Non Parametric

This paper investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). This chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency in financial markets level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level. This chapter investigates technical efficiency estimation in financial markets, using both parametric and non-parametric techniques: parametric Stochastic Frontier Analysis (SFA) approach or non-parametric Data Envelopment Analysis (DEA). More specifically, this chapter focuses on reviewing the stochastic frontier analysis literature regarding estimating inefficiency, its industrial level, as well as explaining producer heterogeneity along with the relationships with productive efficiency level.

Data envelopment analysis methods in sustainable agricultural development research

2021 ◽  
pp. 179-205
Author(s):  
Katarzyna Smędzik-Ambroży ◽  
Agnieszka Sapa
Keyword(s):  
Sustainable Development ◽  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Economies Of Scale ◽  
Scale Effects ◽  
Three Dimensions ◽  
Data Envelopment ◽  
Farm Accountancy Data Network ◽  
Business Entities ◽  
The Individual

Sustainable development of business entities can be analysed in terms of three dimensions, i.e., economic, social and environmental ones. The economic dimension of sustainable development can be assessed, inter alia, by entities’ technical efficiency defined as the relation of outputs to inputs. One of the methods that is used to assess the technical efficiency of business entities compared to other entities is the Data Envelopment Analysis (DEA) method. The aim of the chapter is to determine the relative technical efficiency of representative agricultural farms from the individual European Union countries in 2018. Moreover, the scale efficiency indexes and the area of scale effects (increasing or decreasing) of the analysed farms were also determined. In the study the data from the Farm Accountancy Data Network (FADN) for 2018 were applied. In order to achieve the assumed research goals, the input-oriented DEA model was used, and the technical efficiency indexes of farms were estimated with the assumption of constant return to scale (CRS) and variable return to scale (VRS). This allowed, among others, for indicating the countries with farms achieving the highest technical efficiency (Belgium, Spain, Italy, Malta and Netherlands assuming CRS, and Belgium, Spain, Italy, Malta and Netherlands, Greece, Ireland, Romania and Slovenia assuming VRS), the lowest technical efficiency (the Czech Republic and Slovakia) within surveyed group of farms. All relatively inefficient farms (except Slovakia) functioned in the area of increasing economies of scale.

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 Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model

2021 ◽  
Vol 18 (20) ◽  
pp. 10597
Author(s):  
Pengyu Ren ◽  
Zhaoxia Liu
Keyword(s):  
Technical Efficiency ◽  
Environmental Variables ◽  
Positive Impact ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Fitness Program ◽  
Dea Model ◽  
Service Efficiency ◽  
The Impact

Improving the level of public sports services enhances citizens’ physical fitness by implementing the national fitness program. A systematic and scientific efficiency evaluation is a prerequisite for optimizing and improving the level of public sports services in China. Based on data of the Chinese Statistic Yearbook, this study adopted the three-stage data envelopment analysis (DEA) model to measure and analyze the efficiency of public sports services in 31 provinces in China in 2016. To analyze the efficiency of public sports services, technical efficiency was decomposed into pure technical efficiency and scale efficiency. Simultaneously, environmental variables were added to improve accuracy. The results showed that scale efficiency was overestimated, and external technical efficiency was underestimated, before the elimination of external factors and environmental variables. Environmental factors significantly impacted the efficiency of public sports services. Regional gross domestic product (GDP) had a potentially positive impact, while population size partially restricted public sports service efficiency. After eliminating the impact of environmental and random factors, the comprehensive efficiency, pure technical efficiency, and scale efficiency of public sports services all showed improvement in varying degrees. The results provide beneficial insights for the formulation of rational improvement policies for public sports services.

scholarly journals Did Global Financial Crisis Impact the Islamic Banking Efficiencies? Evidence from Malaysian Islamic Banks

2018 ◽  
Vol 6 (2) ◽  
pp. 075
Author(s):  
Abdus Samad
Keyword(s):  
Financial Crisis ◽  
Technical Efficiency ◽  
Global Financial Crisis ◽  
Islamic Banking ◽  
Data Envelopment ◽  
Islamic Banks ◽  
Significant Difference ◽  
Loan Financing ◽  
The Global Financial Crisis ◽  
Non Parametric

First, this paper investigated the loan and deposit efficiencies of Malaysian Islamic banks during 2008-2013 applying the non-parametric technique, Data Envelopment Analysis (DEA), and found that the average technical efficiency (TE) of loan financing was 83%, 88%, 87%, 95%, 100%, and 94% and the average technical efficiency for deposit mobilizations was 87%, 94%, 94%, 96%, 92%, and 96%. Only four banks in 2008, two bank in 2009, three banks in 2010, two banks in 2011-2013 are both technically and scale efficient in loan production. On the other hand, only four banks in 2008 and 2009, five banks in 2010 and 2011, three banks in 2012, and five banks in 2013 are both technical and scale efficient in deposit mobilizations. Second, the paper compares the efficiencies of Islamic banks between the global financial crisis (GFC) and the post global financial crisis (PGFC) in determining whether the efficiencies of banks between the GFCP and PGFCP are stable. Both parametric and non-parametric tests found no significant difference in the efficiencies between the two periods suggesting that the efficiencies of the Malaysian Islamic banks were stable.

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