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The financial efficiency of small food and drink producers across selected European Union countries using data envelopment analysis

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  • Gardijan Kedžo, Margareta
  • Lukač, Zrinka

Abstract

There is an increasing awareness about the importance of the role that small food and beverage producers play in the socio-economic development in many countries. However, since they face many specific problems which create obstacles for their existence, small producers should be identified and supported. To properly analyze their position, one should consider multiple criteria within their operational, financial, marketing and strategic activities. This paper analyzes small food and drink producers from selected countries in the European Union and estimates their financial efficiency using raw financial variables instead of financial ratios. The research is based on the data obtained from the Amadeus database for the period from 2011 to 2015. The relative efficiency is determined by using the data envelopment analysis (DEA). The results show that the number of efficient small companies in the sample had varied throughout the analyzed period. The same holds for the number of efficient companies within countries and within the food and drink industry. Approximately 23% of food producers were relatively efficient, while the share of efficient drink producers increased over time from approximately 20% to 23%. Moreover, we detect countries having the greatest percentage of efficient small producers in the sample. The DEA approach identified efficient producers which have better liquidity, efficiency, leverage and profitability and pointed out cash liquidity as the area of inefficiency for the inefficient companies. This analysis provides policy makers with information for developing policies which could improve the strength of small food and drink producers on a country level.

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  • Gardijan Kedžo, Margareta & Lukač, Zrinka, 2021. "The financial efficiency of small food and drink producers across selected European Union countries using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 291(2), pages 586-600.
  • Handle: RePEc:eee:ejores:v:291:y:2021:i:2:p:586-600
    DOI: 10.1016/j.ejor.2020.01.066
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, April.
    2. Jesús T. Pastor & José L. Ruiz, 2007. "Variables With Negative Values In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 63-84, Springer.
    3. Ahn, Taesik & Charnes, Abraham & Cooper, William W., 1988. "Efficiency characterizations in different DEA models," Socio-Economic Planning Sciences, Elsevier, vol. 22(6), pages 253-257.
    4. Margareta Gardijan & Zrinka Lukač, 2018. "Measuring the relative efficiency of the food and drink industry in the chosen EU countries using the data envelopment analysis with missing data," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 695-713, September.
    5. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    7. Wade D. Cook & Joe Zhu, 2007. "Data Irregularities And Structural Complexities In Dea," Springer Books, in: Joe Zhu & Wade D. Cook (ed.), Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis, chapter 0, pages 1-11, Springer.
    8. Ali, Jabir & Singh, Surendra P. & Ekanem, Enefiok P., 2009. "Efficiency and Productivity Changes in the Indian Food Processing Industry: Determinants and Policy Implications," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 12(1), pages 1-24, February.
    9. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, January.
    10. William W. Cooper & Lawrence M. Seiford & Joe Zhu, 2011. "Data Envelopment Analysis: History, Models, and Interpretations," International Series in Operations Research & Management Science, in: William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), Handbook on Data Envelopment Analysis, chapter 0, pages 1-39, Springer.
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