IDEAS home Printed from https://ideas.repec.org/a/ags/areint/364294.html

Systemic issues and efficiency reserves in EU agriculture: a slack-based DEA approach

Author

Listed:
  • Kyshakevych, Bohdan
  • Melnyk, Olga
  • Maksyshko, Natalia
  • Maturin, Yuriy
  • Kotyk, Yaroslaw

Abstract

Purpose. The purpose of the study is to develop an integrated approach for evaluating the super-efficiency of the agricultural sector in EU countries, considering resource, ecological, and economic dimensions, while identifying systemic challenges and opportunities for efficiency enhancement through slack-based Data Envelopment Analysis (DEA). Methodology / approach. The study uses super efficiency slack-based Data Envelopment Analysis models to evaluate the efficiency of the agricultural sector in EU countries. It incorporates three input-oriented DEA models focusing on resource-based, ecological, and economic dimensions to provide a comprehensive assessment. An aggregated assessment of the efficiency of the agricultural sector in EU countries was proposed based on the geometric mean of the evaluations from the constructed DEA models. A method for identifying systemic issues and opportunities for efficiency improvements in the agricultural sector of 27 EU countries using slack values was proposed. Results. The most efficient countries in the EU agricultural sector according to proposed approach on the base of aggregation of three offered DEA model are the Netherlands, Belgium, Cyprus, Malta, Denmark, France and Ireland, demonstrating high levels of super-efficiency. The main challenges for less efficient countries include excessive land use, low export levels, and insufficient added value of agricultural products. Slack analysis revealed that the largest deviations are observed in land resource utilisation and export volumes. Originality / scientific novelty. The article proposes an approach for evaluating the super-efficiency of the agricultural sector in EU countries by aggregating the assessments of three proposed DEA models. A method for identifying systemic issues in the efficient use of resources in the agricultural sector based on the analysis of slacks in DEA models has been proposed. Practical value / implications. The article provides practical insights for policymakers and stakeholders to optimise resource use and improve the efficiency of the agricultural sector in EU. The results can guide the development of tailored strategies to address inefficiencies, particularly in land use and export performance. The proposed approach provides a methodological framework that can be applied to other regions, promoting sustainable agricultural practices globally and enabling the development of an aggregated efficiency ranking for the agricultural sector.

Suggested Citation

  • Kyshakevych, Bohdan & Melnyk, Olga & Maksyshko, Natalia & Maturin, Yuriy & Kotyk, Yaroslaw, . "Systemic issues and efficiency reserves in EU agriculture: a slack-based DEA approach," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 11(1).
    • Handle: RePEc:ags:areint:364294
    DOI: 10.22004/ag.econ.364294
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/364294/files/2_Kyshakevych_article.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.364294?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Tao Xu & Jianxin You & Hui Li & Luning Shao, 2020. "Energy Efficiency Evaluation Based on Data Envelopment Analysis: A Literature Review," Energies, MDPI, vol. 13(14), pages 1-20, July.
    2. Javad Gerami & Mohammad Reza Mozaffari & P. F. Wanke & Henrique Correa, 2022. "A novel slacks-based model for efficiency and super-efficiency in DEA-R," Operational Research, Springer, vol. 22(4), pages 3373-3410, September.
    3. Lucyna BŁAŻEJCZYK-MAJKA & Radosław KALA, 2015. "On the combined estimation of technical efficiency and its application to agriculture," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 61(10), pages 441-449.
    4. Shu, Tianheng & Liao, Xia & Yang, Shuo & Yu, Taofang, 2024. "Towards sustainability: Evaluating energy efficiency with a super-efficiency SBM-DEA model across 168 economies," Applied Energy, Elsevier, vol. 376(PA).
    5. Popkova, Elena G. & Sergi, Bruno S., 2021. "Energy efficiency in leading emerging and developed countries," Energy, Elsevier, vol. 221(C).
    6. Hsuan-Shih Lee, 2021. "An integrated model for SBM and Super-SBM DEA models," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(5), pages 1174-1182, May.
    7. Khezrimotlagh, Dariush & Zhu, Joe & Cook, Wade D. & Toloo, Mehdi, 2019. "Data envelopment analysis and big data," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1047-1054.
    8. 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.
    9. Karolina Pawlak & Luboš Smutka & Pavel Kotyza, 2021. "Agricultural Potential of the EU Countries: How Far Are They from the USA?," Agriculture, MDPI, vol. 11(4), pages 1-21, March.
    10. Chongxin Xie & Yun Gao & Yu Zhong & Zhijun Zhao, 2024. "Impact of Digital Agro-Technology Services on Technical Efficiency and Income of Small-Scale Farmers: Empirical Study from Mango Production in China," Agriculture, MDPI, vol. 14(12), pages 1-16, November.
    11. Hsuan-Shih Lee, 2023. "Identifying Pareto-efficient projection of Super-SBM with undesirable outputs: One model approach," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(7), pages 1730-1745, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    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. Lee, Hsuan-Shih, 2022. "Integrating SBM model and Super-SBM model: a one-model approach," Omega, Elsevier, vol. 113(C).
    3. Nadia Yusuf & Miltiadis D. Lytras, 2023. "Competitive Sustainability of Saudi Companies through Digitalization and the Circular Carbon Economy Model: A Bold Contribution to the Vision 2030 Agenda in Saudi Arabia," Sustainability, MDPI, vol. 15(3), pages 1-20, February.
    4. Wendong Zhu & Dahai Li & Limin Han, 2022. "Spatial–Temporal Evolution and Sustainable Type Division of Fishery Science and Technology Innovation Efficiency in China," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    5. Grzegorz Ślusarz & Barbara Gołębiewska & Marek Cierpiał-Wolan & Jarosław Gołębiewski & Dariusz Twaróg & Sebastian Wójcik, 2021. "Regional Diversification of Potential, Production and Efficiency of Use of Biogas and Biomass in Poland," Energies, MDPI, vol. 14(3), pages 1-20, January.
    6. Kuan-Ming Huang & Zhengfei Guan & AbdelMalek Hammami, 2022. "The U.S. Fresh Fruit and Vegetable Industry: An Overview of Production and Trade," Agriculture, MDPI, vol. 12(10), pages 1-20, October.
    7. Yuxin Ning & Jifeng Duan, 2024. "Can the Environmental Protection Tax Promote the Improvement of Energy Efficiency? Evidence from Prefecture-Level City Data in China," Sustainability, MDPI, vol. 16(23), pages 1-24, November.
    8. Bożena Nosecka & Łukasz Zaremba, 2025. "The International Competitiveness of Polish Fruit and Their Preserves," Agriculture, MDPI, vol. 15(10), pages 1-17, May.
    9. Burchfield, Emily & Ferro, Marco & Hüttel, Silke & Lakes, Tobia & Leonhardt, Heidi & Niedermayr, Andreas & Rissing, Andrea & Seifert, Stefan & Wesemeyer, Maximilian, 2024. "Towards a comprehensive analysis of agricultural land systems in the EU and US: A critical view on publicly available datasets," Land Use Policy, Elsevier, vol. 147(C).
    10. Henryk Dzwigol, 2023. "The Quality Determinants of the Research Process in Management Sciences," Virtual Economics, The London Academy of Science and Business, vol. 6(2), pages 35-54, June.
    11. Tao Jie, 2020. "Parallel processing of the Build Hull algorithm to address the large-scale DEA problem," Annals of Operations Research, Springer, vol. 295(1), pages 453-481, December.
    12. Ibrahim Yilmaz, 2023. "A Hybrid DEA–Fuzzy COPRAS Approach to the Evaluation of Renewable Energy: A Case of Wind Farms in Turkey," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    13. Chen, Xiaolei & Guan, Zhongcheng & Yang, Guoliang & Pan, Hao & Xiong, Xi, 2024. "Evaluation of technology transfer performance for Chinese universities based on a dual-game cross-efficiency model," Socio-Economic Planning Sciences, Elsevier, vol. 94(C).
    14. Qingyou Yan & Fei Zhao & Xu Wang & Tomas Balezentis, 2021. "The Environmental Efficiency Analysis Based on the Three-Step Method for Two-Stage Data Envelopment Analysis," Energies, MDPI, vol. 14(21), pages 1-14, October.
    15. Zdráhal, Ivo, 2024. "The Revealed Comparative Advantage of Agri-Food Industries in Selected Countries in the Central and Eastern Europe: Gross-Versus Value-Added Trade Flows," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 16(2), June.
    16. Emilia Herman, 2025. "Changes and Challenges in EU Agricultural Holdings and Their Impact on Rural Development," Land, MDPI, vol. 14(5), pages 1-37, May.
    17. Bercegol, Hervé, 2025. "An equation for global energy efficiency gains in the long-run," Ecological Economics, Elsevier, vol. 236(C).
    18. Khezrimotlagh, Dariush, 2022. "Simulation designs for production frontiers," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1321-1334.
    19. Chia-Nan Wang & Hoang-Phu Nguyen & Cheng-Wen Chang, 2021. "Environmental Efficiency Evaluation in the Top Asian Economies: An Application of DEA," Mathematics, MDPI, vol. 9(8), pages 1-19, April.
    20. Riju Chaudhary & H. D. Arora, 2022. "Efficiency evaluation of public and nationalized Indian banks using data envelopment analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 469-478, February.

    More about this item

    Keywords

    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:areint:364294. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://are-journal.com/are .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.