Estimating Technical and Scale Efficiency of Meat Products Industry: The Greek Case

Keramidou, Ioanna; Mimis, Angelos; Pappa, Evangelia

doi:10.3923/jas.2011.971.979

Cited by 14 publications

(10 citation statements)

References 13 publications

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“…Furthermore, Keramidou et al. () indicated that the efficiency score of the meat sector tended to decrease during the period 1994–2007, taking, on average, the value of 0.79. The aforementioned result is in accordance with the one given in the present study since the technical efficiency of the meat sector tends to decline over the period 1994–2007, taking the average value of 0.95.…”

Section: Resultsmentioning

confidence: 99%

“…An increase of capital intensity may affect negatively the level of efficiency since it may indicate the existence of old and no longer in use capital stock, the maintenance of which often requires expenditure, e.g. payment of interest (Kaltsas et al.,; Keramidou et al, ).…”

Section: Methodology For Identifying the Determinants Of Technical Efmentioning

confidence: 99%

“…Keramidou, Mimis, and Pappa () estimated the pure technical and scale efficiency in the Greek meat products industry over the period 1994–2007 using a bootstrapped DEA. The empirical findings indicated that the average level of pure technical inefficiency was rather high during the study period, about 21%, presenting a clear increased trend of inefficiencies.…”

Section: Literature Reviewmentioning

confidence: 99%

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Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry

Rezitis

Kalantzi

2015

Agribusiness

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In this paper, a two-step procedure is applied in order to investigate technical efficiency and its determinants in the Greek food and beverages manufacturing industry for the period 1984-2007. Technical efficiency scores for the industry are estimated using the data envelopment analysis approach. Moreover, bootstrapped truncated regressions and OLS regressions are applied in order to investigate the factors affecting technical efficiency. The empirical results indicate that there is a fluctuation of technical efficiency scores among the sectors of the food and beverages industry. Furthermore, the findings obtained from both the Tobit and the OLS regressions support that the factors affecting positively the level of technical efficiency are sector size, capital productivity, labor productivity, and labor intensity. The results also show that the technical efficiency of the whole industry tended to decrease during the period 1984-2007. Moreover, the present paper provides some policy recommendations that may be useful for the industry to overcome the present economic crisis. Finally, in future research, the technical efficiency of the Greek food industry will be analyzed based on the meta-analysis approach. [JEL Classifications: C60, L60, O14].

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Section: Resultsmentioning

confidence: 99%

Section: Methodology For Identifying the Determinants Of Technical Efmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry

Rezitis

Kalantzi

2015

Agribusiness

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“…It needs to explain that canonical correlation was employed as a weighting system for both input and output criteria [56]. Keramidou et al [57] assessed the efficiency of the Greek meat products industry using the DEA model in a period from 1994 to 2007. The findings have proved the inefficiency of industries with a rise due to mismanagement and prodigality of the asset.…”

Section: Iranian Industriesmentioning

confidence: 99%

Evaluation of Iranian Small and Medium-Sized Industries Using the Dea Based on Additive Ratio Model – A Review

Hassanpour

2020

FU Mech Eng

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Data Envelopment Analysis (DEA) is a prominent procedure in the decision-making process with a pivotal role in the sustainable development assay. Project identification is the first step of sustainability assessment in the Environmental Impact Assessment (EIA) program for the industrial projects prior to complete establishment. The present review research comprised 405 Iranian industries assessment regarding both input and output criteria via DEA integrated with the ratio model of Additive Ratio ASsessment (ARAS) and weighing systems of Kendall and Friedman's tests supported by SPSS software. The findings deployed a classification for Iranian industries pertaining to industries' nominal capacity in certain clusters. Also, the current review paved the pathway towards executing both energy and materials streams in industries.

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“…Performance evaluation of the pharmaceutical sector using the non-parametric DEA approach has been carried out in India and output efficiency of firms has been studied by Majumder [9], Saranga, and Phani [28] and Mazumdar and Rajeev [27]. Keramidou et al [29] revealed inefficiencies arising from mismanagement and excess usage of capital in the when studying the Greek meat products industry. Studies relating to efficiency of telecommunication in-dustry are also sparse.…”

Section: Some Of the Countries That Have Been Included In The Researcmentioning

confidence: 99%

Performance Analysis of Listed Companies in the UAE-Using DEA Malmquist Index Approach

Majumdar¹,

Asgari²

2017

AJOR

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Data Envelopment Analysis (DEA) is becoming an increasingly popular tool for assessing the relative performance of industries and companies. By applying DEA theory to the non-financial sector, the relative efficiency of 27 listed corporations in the United Arab Emirates (UAE) has been analyzed in this paper. The focus of the study has been on the impact of the financial crisis and the recovery thereafter. Further, the productivity change was decomposed into technical efficiency change and technological change by using the non-parametric Malmquist Productivity Index (MPI) over the period from 2007 to 2014. Based on Malmquist analysis, we find that the most efficient industries during the post-crisis period were food and beverages, telecommunication and pharmaceuticals. In contrast, the sectors that were adversely affected by the crisis were services, real estate, construction and cements. The break-up of the TFP indicated that the efficiency indices in the top performing industries were driven by technological improvements or frontier effects. The top-performing companies in the UAE during the 2007-14 period demonstrated innovation-led growth, aided by the use of better technology, investments in capital equipment, and adoption of new production processes.

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Estimating Technical and Scale Efficiency of Meat Products Industry: The Greek Case

Cited by 14 publications

References 13 publications

Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry

Investigating Technical Efficiency and Its Determinants by Data Envelopment Analysis: An Application in the Greek Food and Beverages Manufacturing Industry

Evaluation of Iranian Small and Medium-Sized Industries Using the Dea Based on Additive Ratio Model – A Review

Performance Analysis of Listed Companies in the UAE-Using DEA Malmquist Index Approach

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