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The Efficiency of Offshore Wind Energy Companies in the European Countries: A DEA Approach

Author

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  • Dario Maradin

    (Faculty of Economics and Business, University of Rijeka, Ivana Filipovića 4, 51000 Rijeka, Croatia)

  • Bojana Olgić Draženović

    (Faculty of Economics and Business, University of Rijeka, Ivana Filipovića 4, 51000 Rijeka, Croatia)

  • Saša Čegar

    (Faculty of Economics and Business, University of Rijeka, Ivana Filipovića 4, 51000 Rijeka, Croatia)

Abstract

Considering environmental issues such as greenhouse gas emissions associated with climate change and the depletion of fossil fuels, one of the possible solutions is the use of renewable energy sources. Wind energy is one of the most competitive and resilient energy sources in the world, which can play an important role in accelerating the global transition to green energy. The purpose of this study is to evaluate the allocative efficiency of 47 offshore wind energy companies in 9 European countries using the input-oriented BCC DEA model. The basic hypothesis is that by evaluating the relative efficiency of offshore wind energy companies in European countries, it is possible to determine a correlation between the results of efficiency between the two observed periods with slight deviations. The empirical results show no significant correlation between the score of relative efficiency and the country where the offshore wind energy company is located. On the other hand, the results are consistent with the basic hypothesis of this study. From the management perspective, significant improvements in all financial variables, i.e., tangible fixed assets, cash and cash equivalents, and current assets, are required to achieve relative efficiency. The model variables refer to the economic characteristics of offshore wind energy companies, indicating that only allocative efficiency was analysed, which is in contrast to previous studies.

Suggested Citation

  • Dario Maradin & Bojana Olgić Draženović & Saša Čegar, 2023. "The Efficiency of Offshore Wind Energy Companies in the European Countries: A DEA Approach," Energies, MDPI, vol. 16(9), pages 1-16, April.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:9:p:3709-:d:1133408
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    References listed on IDEAS

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    1. Emily Cowin & Changlong Wang & Stuart D. C. Walsh, 2023. "Assessing Predictions of Australian Offshore Wind Energy Resources from Reanalysis Datasets," Energies, MDPI, vol. 16(8), pages 1-21, April.
    2. Pestana Barros, Carlos & Sequeira Antunes, Olinda, 2011. "Performance assessment of Portuguese wind farms: Ownership and managerial efficiency," Energy Policy, Elsevier, vol. 39(6), pages 3055-3063, June.
    3. Vasconcelos, Rafael Monteiro de & Silva, Lara Luana Cirilo & González, Mario Orestes Aguirre & Santiso, Andressa Medeiros & de Melo, David Cassimiro, 2022. "Environmental licensing for offshore wind farms: Guidelines and policy implications for new markets," Energy Policy, Elsevier, vol. 171(C).
    4. Ali Azadeh & Somayeh Ahmadi Movaghar, 2010. "An integrated multivariate approach for performance assessment and optimisation of electricity transmission systems," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 5(2), pages 226-248.
    5. Abbas Mardani & Dalia Streimikiene & Tomas Balezentis & Muhamad Zameri Mat Saman & Khalil Md Nor & Seyed Meysam Khoshnava, 2018. "Data Envelopment Analysis in Energy and Environmental Economics: An Overview of the State-of-the-Art and Recent Development Trends," Energies, MDPI, vol. 11(8), pages 1-21, August.
    6. Benini, Giacomo & Cattani, Gilles, 2022. "Measuring the long run technical efficiency of offshore wind farms," Applied Energy, Elsevier, vol. 308(C).
    7. Rentier, Gerrit & Lelieveldt, Herman & Kramer, Gert Jan, 2023. "Institutional constellations and policy instruments for offshore wind power around the North sea," Energy Policy, Elsevier, vol. 173(C).
    8. Abbott, Malcolm, 2006. "The productivity and efficiency of the Australian electricity supply industry," Energy Economics, Elsevier, vol. 28(4), pages 444-454, July.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Yun Zhang & Robert Bartels, 1998. "The Effect of Sample Size on the Mean Efficiency in DEA with an Application to Electricity Distribution in Australia, Sweden and New Zealand," Journal of Productivity Analysis, Springer, vol. 9(3), pages 187-204, March.
    11. Ermando Petracca & Emilio Faraggiana & Alberto Ghigo & Massimo Sirigu & Giovanni Bracco & Giuliana Mattiazzo, 2022. "Design and Techno-Economic Analysis of a Novel Hybrid Offshore Wind and Wave Energy System," Energies, MDPI, vol. 15(8), pages 1-28, April.
    12. Yasar A. Ozcan, 2014. "Evaluation of Performance in Health Care," International Series in Operations Research & Management Science, in: Health Care Benchmarking and Performance Evaluation, edition 2, chapter 0, pages 3-14, Springer.
    13. Polatidis, Heracles & Haralambopoulos, Dias A., 2007. "Renewable energy systems: A societal and technological platform," Renewable Energy, Elsevier, vol. 32(2), pages 329-341.
    14. Akbari, Negar & Jones, Dylan & Treloar, Richard, 2020. "A cross-European efficiency assessment of offshore wind farms: A DEA approach," Renewable Energy, Elsevier, vol. 151(C), pages 1186-1195.
    15. Bórawski, Piotr & Bełdycka-Bórawska, Aneta & Jankowski, Krzysztof Jóżef & Dubis, Bogdan & Dunn, James W., 2020. "Development of wind energy market in the European Union," Renewable Energy, Elsevier, vol. 161(C), pages 691-700.
    16. Iglesias, Guillermo & Castellanos, Pablo & Seijas, Amparo, 2010. "Measurement of productive efficiency with frontier methods: A case study for wind farms," Energy Economics, Elsevier, vol. 32(5), pages 1199-1208, September.
    17. deCastro, M. & Salvador, S. & Gómez-Gesteira, M. & Costoya, X. & Carvalho, D. & Sanz-Larruga, F.J. & Gimeno, L., 2019. "Europe, China and the United States: Three different approaches to the development of offshore wind energy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 55-70.
    18. Fare, Rolf & Grosskopf, Shawna & Logan, James, 1983. "The relative efficiency of Illinois electric utilities," Resources and Energy, Elsevier, vol. 5(4), pages 349-367, December.
    19. 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, December.
    20. Yasar A. Ozcan, 2014. "Health Care Benchmarking and Performance Evaluation," International Series in Operations Research and Management Science, Springer, edition 2, number 978-1-4899-7472-3, March.
    21. Dario Maradin, 2021. "Advantages and Disadvantages of Renewable Energy Sources Utilization," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 176-183.
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