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Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece

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  • Dimitrios Giokas
  • Nicolaos Eriotis
  • Ioannis Dokas

Abstract

This study uses data envelopment analysis to examine the liquidity and sales efficiency of the Food and Beverage listed firms in Athens Exchange in the period 2006-2012. The liquidity efficiency of the firms is higher than the sales efficiency but the results indicate that there are not statistical significant differences in the rankings estimated by the two models in each period. The Malmquist Productivity Index reveals that over the period of the study, firms have experienced an annual average increase in productivity of 0.5% (a slight progress). On examining the components of this productivity change, it becomes evident that firms have experienced an annual average of 2% increase in technology combined with a decrease in technical efficiency of -1.5%. The results indicate that 52.4% of the firms experienced productivity gains in the examined period, and this was mainly the result of technological gain rather than efficiency improvement. More than 90% of the firms in the sample shift the efficiency frontier and only 33.3% of the firms are catching up, improving their productivity by reducing inefficiency. Moreover, the empirical study reveals that the overall technical inefficiencies of the firms are primarily caused by pure technical inefficiencies rather than scale inefficiencies.

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  • Dimitrios Giokas & Nicolaos Eriotis & Ioannis Dokas, 2015. "Efficiency and productivity of the food and beverage listed firms in the pre-recession and recessionary periods in Greece," Applied Economics, Taylor & Francis Journals, vol. 47(19), pages 1927-1941, April.
  • Handle: RePEc:taf:applec:v:47:y:2015:i:19:p:1927-1941
    DOI: 10.1080/00036846.2014.1002886
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    2. Tanja Planinc & Marko Kukanja, 2019. "Efficiency Analysis of Restaurants Operating in the Rural Areas: The Case of Slovenia," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 12(2), pages 133-145.
    3. Chia-Nan Wang & Minh Nhat Nguyen & Anh Luyen Le & Hector Tibo, 2020. "A DEA Resampling Past-Present-Future Comparative Analysis of the Food and Beverage Industry: The Case Study on Thailand vs. Vietnam," Mathematics, MDPI, vol. 8(7), pages 1-24, July.
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    7. Bogetoft, Peter & Kromann, Lene, 2018. "Evaluating treatment effects using data envelopment analysis on matched samples: An analysis of electronic information sharing and firm performance," European Journal of Operational Research, Elsevier, vol. 270(1), pages 302-313.
    8. Chieh-Wen Chang & Kun-Shan Wu & Bao-Guang Chang, 2019. "Productivity Change and Decomposition in Taiwan Bakery Enterprise―Evidence from 85 °C Company," Sustainability, MDPI, vol. 11(24), pages 1-13, December.
    9. Loske, Dominic & Klumpp, Matthias, 2021. "Human-AI collaboration in route planning: An empirical efficiency-based analysis in retail logistics," International Journal of Production Economics, Elsevier, vol. 241(C).
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