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The Impact of Energy Consumption Costs on the Profitability of Production Companies in Poland in the Context of the Energy Crisis

Author

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  • Beata Milewska

    (Institute of Management and Quality, WSB University in Poznan, Powstańców Wielkopolskich 5, 61-895 Poznan, Poland)

  • Dariusz Milewski

    (Institute of Management, University of Szczecin, 8 Cukrowa St., 71-004 Szczecin, Poland)

Abstract

The paper presents the results of the authors’ research on the share of energy costs in revenues and their impact on the profitability of companies. This research was inspired by a large increase in energy prices in 2022. The authors analyzed the shares of energy consumption costs in production companies from various industries, using various sources: scientific literature, expert studies, and statistical data. Based on the results of these analyses, the authors simulated the impact of changes in energy prices on the profitability of companies. The research results are as follows: according to the authors, the share of these costs in the value of sales is much lower (several percent) than presented in various literature sources (a dozen or so, and even up to 30% in some cases). Despite this, however, the change in energy prices should significantly reduce profitability according to the simulations conducted by the authors. However, the financial reports analyzed by the authors show that profitability in many cases not only did not deteriorate, but revenues and profits increased in a large number of companies. In many cases, this can be explained by the actions taken by companies to reduce energy consumption costs and by increases in product prices. The authors’ research also shows that if factors such as the specificity of the industry or the size of the company have an impact on energy efficiency, it is only to a small extent. The share of energy costs in sales and financial results, even within a given industry and in companies of similar size, varies greatly. The authors therefore believe that the effectiveness of the management of a given company has the greatest impact. Therefore, the results of the analysis differ significantly from the results of studies presented in the literature. Energy consumption data were analyzed using various literature sources from different countries. However, the main analyses conducted by the authors focused on Poland.

Suggested Citation

  • Beata Milewska & Dariusz Milewski, 2023. "The Impact of Energy Consumption Costs on the Profitability of Production Companies in Poland in the Context of the Energy Crisis," Energies, MDPI, vol. 16(18), pages 1-19, September.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6519-:d:1236749
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    References listed on IDEAS

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    1. Ferriani, Fabrizio & Gazzani, Andrea, 2023. "The impact of the war in Ukraine on energy prices: Consequences for firms’ financial performance," International Economics, Elsevier, vol. 174(C), pages 221-230.
    2. Li, Ke & Lin, Boqiang, 2018. "How to promote energy efficiency through technological progress in China?," Energy, Elsevier, vol. 143(C), pages 812-821.
    3. Blass, Vered & Corbett, Charles J. & Delmas, Magali A. & Muthulingam, Suresh, 2014. "Top management and the adoption of energy efficiency practices: Evidence from small and medium-sized manufacturing firms in the US," Energy, Elsevier, vol. 65(C), pages 560-571.
    4. Xiekui Zhang & Peiyao Liu & Hongfei Zhu, 2022. "The Impact of Industrial Intelligence on Energy Intensity: Evidence from China," Sustainability, MDPI, vol. 14(12), pages 1-16, June.
    5. Lei Jin & Keran Duan & Xu Tang, 2018. "What Is the Relationship between Technological Innovation and Energy Consumption? Empirical Analysis Based on Provincial Panel Data from China," Sustainability, MDPI, vol. 10(1), pages 1-13, January.
    6. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    7. Beata Milewska & Dariusz Milewski, 2022. "Implications of Increasing Fuel Costs for Supply Chain Strategy," Energies, MDPI, vol. 15(19), pages 1-14, September.
    8. Trianni, Andrea & Cagno, Enrico & Worrell, Ernst & Pugliese, Giacomo, 2013. "Empirical investigation of energy efficiency barriers in Italian manufacturing SMEs," Energy, Elsevier, vol. 49(C), pages 444-458.
    9. Dariusz Milewski & Beata Milewska, 2023. "Efficiency of the Consumption of Energy in the Road Transport of Goods in the Context of the Energy Crisis," Energies, MDPI, vol. 16(3), pages 1-23, January.
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