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Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA

Author

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  • Leonidas Sotirios Kyrgiakos

    (Department of Agsriculture Crop Production and Rural Environment, University of Thessaly, Fytoko, 38446 Volos, Greece)

  • George Vlontzos

    (Department of Agsriculture Crop Production and Rural Environment, University of Thessaly, Fytoko, 38446 Volos, Greece)

  • Panos M. Pardalos

    (Department of Industrial and Systems Engineering, University of Florida, 401 Weil Hall, Gainesville, FL 32611-6595, USA)

Abstract

Providing food security while preserving natural resources and reducing the use of production factors (land, labor, and capital), is a critical challenge for EU agricultural sectors in the 21st century. Sustainable Development goals adoption has increased the need for eliminating Greenhouse gas emissions across all EU sectors, while production should remain stable or even increase. For this purpose, Window Data Envelopment Analysis (DEA) has been selected as a benchmarking technique, in order to assess input use efficiency of agricultural sectors of EU countries for the 2005–2019 period. Moreover, three-year projections (until 2022) have been calculated in order to acquire future efficiency scores. Emphasis has been given on the selection of alternative window widths, examining their influence on calculating efficiency scores for both projected and actual dataset. From a methodological point of view, this paper aims to highlight the assumption of zero technological change within Window DEA frames and present their differences. At the same time, results indicate that Estonia (1.000), the Netherlands (0.999) and Slovenia (0.999) are the most efficient countries in terms of input use efficiency, while Finland, UK, and Hungary (0.670, 0.755 and 0.771) score the least. Countries of central Europe (Hungary, Czech Rep., Croatia, Slovakia, and Austria) should redesign their agricultural strategies, so as to achieve the nine objectives of the upcoming CAP (2021–2027).

Suggested Citation

  • Leonidas Sotirios Kyrgiakos & George Vlontzos & Panos M. Pardalos, 2021. "Ranking EU Agricultural Sectors under the Prism of Alternative Widths on Window DEA," Energies, MDPI, vol. 14(4), pages 1-26, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1021-:d:499925
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    1. Oana Coca & Diana Creangă & Ștefan Viziteu & Ioan Sebastian Brumă & Gavril Ștefan, 2023. "Analysis of the Determinants of Agriculture Performance at the European Union Level," Agriculture, MDPI, vol. 13(3), pages 1-23, March.
    2. Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022. "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, vol. 22(5), pages 5529-5567, November.
    3. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).

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