2017
DOI: 10.1515/plua-2017-0002
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The Comparative Efficiency Analysis of EU Members Agriculture Sectors

Abstract: Abstract. Production economics forms a very important part of an enormous range of economic theory. Agricultural production is no exception. When evaluating the competitiveness of the multifunctional agriculture, it is necessary to use the measure of efficiency instead of productivity. The conception of the efficiency is explained and the methods for measurement are provided. The authors discuss the methods of Stochastic Frontier Approach (SFA), Free Disposal Hull (FDH) and Data Envelopment Analysis (DEA) that… Show more

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Cited by 9 publications
(8 citation statements)
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“…The value of technical efficiency close to the optimal threshold but above the best value equal to 1, has also corroborated other outcomes of technical efficiency assessed in new member states by previous studies with significant decreases in 2010 and 2011, respectively equal to 0.88 and 0.93, with a transition from an efficient phase to an inefficient one (Bojnec et al, 2014;Kočišová, 2015). In any case, technical efficiency assessed in Bulgarian farms part of the FADN dataset has been above the average value estimated in all 27 European countries in recent analysis by other scholars (Nowak et al, 2015;Laurinavičius and Rimkuvienė, 2017).…”
Section: Fig 2 Evolution Of Gross Domesticsupporting
confidence: 83%
“…The value of technical efficiency close to the optimal threshold but above the best value equal to 1, has also corroborated other outcomes of technical efficiency assessed in new member states by previous studies with significant decreases in 2010 and 2011, respectively equal to 0.88 and 0.93, with a transition from an efficient phase to an inefficient one (Bojnec et al, 2014;Kočišová, 2015). In any case, technical efficiency assessed in Bulgarian farms part of the FADN dataset has been above the average value estimated in all 27 European countries in recent analysis by other scholars (Nowak et al, 2015;Laurinavičius and Rimkuvienė, 2017).…”
Section: Fig 2 Evolution Of Gross Domesticsupporting
confidence: 83%
“…Djordjević et al (2018) employed a non-radial DEA model for an evaluation of railway efficiency of European countries regarding a level of safety at railway level crossings. Laurinavičius and Rimkuvienė (2017) using DEA provided results on the analysis of agricultural sectors efficiency of 28 EU member states (for 2010-2014). According to their results the agriculture sector of the "new" EU countries is still poorly effective, even though the efficiency tends to increase.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Since Charnes, Cooper, and Rhodes [17] have created the non-parametric technique of data envelopment analysis, there are many studies and papers trying to evaluate the efficiency and productivity in the various fields of the economy, including agricultural holdings [18][19][20][21][22][23] or holdings in the food industry [24]. Since 1978 up through the year 2009, around 4500 Data Envelopment Analysis (DEA) related papers, both theoretically and practically oriented, have been published in the ISI Web of Science database [25].…”
Section: Literature Overviewmentioning
confidence: 99%