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Economic Efficiency versus Energy Efficiency of Selected Crops in EU Farms

Author

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  • Paweł Boczar

    (Department of Economics and Economy Policy in Agribusiness, Faculty of Economics, Poznań University of Life Sciences, 60-624 Poznań, Poland)

  • Lucyna Błażejczyk-Majka

    (Department of Economic History, Faculty of History, Adam Mickiewicz University, 61-614 Poznań, Poland)

Abstract

The goal of farmers operating in a market economy is to maximize profit. In view of the changing political situation, the main social interest, in addition to food security, should be energy security. Here is a refined version of that sentence: This article examines the production efficiency of selected crops grown in the EU and how well their production can ensure both the economic security of the producers, i.e., the farmers, and Europe’s energy security. In addition, it aims to determine which costs incurred in the production process have the greatest impact on productivity. The paper uses data obtained from the Cash Crop agricultural benchmarking database, covering 19 crops and 39 cost categories for each crop. The data (averaged for 2019–2021) came from 30 farms located in 11 EU member states. The DEA method and stepwise multiple regression were used. Research has shown that crops are already being grown in Europe that provide high energy efficiency in production without compromising farm performance (including oats, peas, and winter rye). Moreover, improving the involvement of certain inputs results in improved production efficiency (e.g., through spending on agricultural consulting services). In addition, crop economic efficiency, as assessed by profit with and without subsidies, was found to be strongly correlated with production efficiency. This could indicate that subsidies do not play a key role in farm efficiency within the EU. Crop productivity remains a key factor in achieving economic and energy efficiency. The significance of the findings presented in connection with the recent COVID-19 pandemic and the escalation of the armed conflict in Ukraine has led to renewed interest in EU energy security, i.e., generating as much EU energy as possible for food and non-food production.

Suggested Citation

  • Paweł Boczar & Lucyna Błażejczyk-Majka, 2024. "Economic Efficiency versus Energy Efficiency of Selected Crops in EU Farms," Resources, MDPI, vol. 13(9), pages 1-15, September.
  • Handle: RePEc:gam:jresou:v:13:y:2024:i:9:p:123-:d:1470990
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    References listed on IDEAS

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    1. Wiktor Halecki & Dawid Bedla, 2022. "Global Wheat Production and Threats to Supply Chains in a Volatile Climate Change and Energy Crisis," Resources, MDPI, vol. 11(12), pages 1-11, December.
    2. Swinnen, Johan F.M. & Rozelle, Scott, 2006. "From Marx and Mao to the Market: The Economics and Politics of Agricultural Transition," OUP Catalogue, Oxford University Press, number 9780199288915.
    3. Konstantinos Giannakas & Richard Schoney & Vangelis Tzouvelekas, 2001. "Technical Efficiency, Technological Change and Output Growth of Wheat Farms in Saskatchewan," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 49(2), pages 135-152, July.
    4. 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.
    5. Tozer, Peter R., 2010. "Measuring the Efficiency of Wheat Production of Western Australian Growers," 2010 Conference (54th), February 10-12, 2010, Adelaide, Australia 59168, Australian Agricultural and Resource Economics Society.
    6. Lucio Cecchini & Francesco Romagnoli & Massimo Chiorri & Biancamaria Torquati, 2023. "Eco-Efficiency and Its Determinants: The Case of the Italian Beef Cattle Sector," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
    7. Atici, Kazim Baris & Podinovski, Victor V., 2015. "Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture," Omega, Elsevier, vol. 54(C), pages 72-83.
    8. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    9. Hasan Tutar & Teymur Sarkhanov & Nigar Guliyeva, 2022. "Eastern Mediterranean Area in Energy Security of The European Union: From Sea Border Issues to Economic Conflicts of Interest," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 332-341.
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    1. Gabriela Mayumi Saiki & André Luiz Marques Serrano & Gabriel Arquelau Pimenta Rodrigues & Guilherme Dantas Bispo & Vinícius Pereira Gonçalves & Clóvis Neumann & Robson de Oliveira Albuquerque & Carlos, 2024. "Application of Non-Parametric and Forecasting Models for the Sustainable Development of Energy Resources in Brazil," Resources, MDPI, vol. 13(11), pages 1-29, October.

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