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Changes in the Polish Coal Sector Economic Situation with the Background of the European Union Energy Security and Eco-Efficiency Policy

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  • Piotr Bórawski

    (Department of Agrotechnology and Agribusiness, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

  • Aneta Bełdycka-Bórawska

    (Department of Agrotechnology and Agribusiness, Faculty of Agriculture and Forestry, University of Warmia and Mazury in Olsztyn, 10-719 Olsztyn, Poland)

  • Lisa Holden

    (Department of Animal Science, Faculty of Agricultural Sciences, Pennsylvania State University, University Park, PA 16802, USA)

Abstract

Poland is a big user of fossil fuels for electricity and heat production. The most important fossil fuel is hard, brown coal and the Polish energy system is based on this source. However, the world has begun to decarbonize the climate and reduce the carbon dioxide and methane which are the main gasses impacting climate change. The main aim of this paper was to recognize changes in Polish coal sector. We focused our attention to the economic situation and employment in coal sector in Poland. The time rage included 1989–2020 and the prognosis 2021–2025. The Polish coal sector faced dramatic changes. The number of hard coal mines decreased from 70 in 1990 to 21 in 2020. In the same timeframe, the prices for hard coal increased from 12.37 PLN/dt to 313.27 PLN/dt. The employment decreased from more than 350 thousand to less than 100 thousand people in hard coal mines. The decrease changes are the effect of strict policies of the European Union. The economic situation of Polish hard coal mines is rather poor. Polish mines achieved negative economic results due to the effect of poor management. We used advanced statistics, including the Augmented Dickey–Fuller test (ADF), to measure the stationarity of analyzed time series. We also used Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) models and conducted a prognosis. Our research proved that the time series describing the hard coal economic situation were not stationary. The Generalized AutoRegressive Conditional Heteroskedasticity (GARCH) models confirmed big changes in Polish coal sector economic results. The elaborated prognosis of variables proved that the price of hard coal will increase in 2021–2025. Moreover, the economic situation will be worse. Our analysis confirmed that global trends of the hard coal sector were influenced by the European Union (EU) energy policy and closing down the mines. The economic situation of Polish hard coal sector worsened.

Suggested Citation

  • Piotr Bórawski & Aneta Bełdycka-Bórawska & Lisa Holden, 2023. "Changes in the Polish Coal Sector Economic Situation with the Background of the European Union Energy Security and Eco-Efficiency Policy," Energies, MDPI, vol. 16(2), pages 1-17, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:2:p:726-:d:1028725
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    as
    1. Orlaith McGinley & Paul Moran & Jamie Goggins, 2022. "An Assessment of the Key Performance Indicators (KPIs) of Energy Efficient Retrofits to Existing Residential Buildings," Energies, MDPI, vol. 15(1), pages 1-26, January.
    2. Widera, Marek & Kasztelewicz, Zbigniew & Ptak, Miranda, 2016. "Lignite mining and electricity generation in Poland: The current state and future prospects," Energy Policy, Elsevier, vol. 92(C), pages 151-157.
    3. Gustavsson, Leif & Haus, Sylvia & Lundblad, Mattias & Lundström, Anders & Ortiz, Carina A. & Sathre, Roger & Truong, Nguyen Le & Wikberg, Per-Erik, 2017. "Climate change effects of forestry and substitution of carbon-intensive materials and fossil fuels," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 612-624.
    4. Stewart, Hayden & Don, P. Blayney, 2011. "Retail Dairy Prices Fluctuate with the Farm Value of Milk," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 201-217, September.
    5. Rybak, Aurelia & Rybak, Aleksandra, 2016. "Possible strategies for hard coal mining in Poland as a result of production function analysis," Resources Policy, Elsevier, vol. 50(C), pages 27-33.
    6. Piotr Bórawski & Aneta Bełdycka-Bórawska & Lisa Holden & Tomasz Rokicki, 2022. "The Role of Renewable Energy Sources in Electricity Production in Poland and the Background of Energy Policy of the European Union at the Beginning of the COVID-19 Crisis," Energies, MDPI, vol. 15(22), pages 1-17, November.
    7. Arief Daryanto & Diani Aliya Sofia & Sahara Sahara & Antonya Rumondang Sinaga, 2020. "Climate Change and Milk Price Volatility in Indonesia," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 282-288.
    8. Kharin, S., 2018. "Price Transmission Analysis: the Case of Milk Products in Russia," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(1).
    9. Xiaopeng Guo & Jiaxing Shi & Dongfang Ren, 2016. "Coal Price Forecasting and Structural Analysis in China," Discrete Dynamics in Nature and Society, Hindawi, vol. 2016, pages 1-7, October.
    10. Wang, Ning & Wen, Zongguo & Liu, Mingqi & Guo, Jie, 2016. "Constructing an energy efficiency benchmarking system for coal production," Applied Energy, Elsevier, vol. 169(C), pages 301-308.
    11. Koutroumanidis, Theodoros & Ioannou, Konstantinos & Arabatzis, Garyfallos, 2009. "Predicting fuelwood prices in Greece with the use of ARIMA models, artificial neural networks and a hybrid ARIMA-ANN model," Energy Policy, Elsevier, vol. 37(9), pages 3627-3634, September.
    12. Woźniak, Justyna & Krysa, Zbigniew & Dudek, Michał, 2020. "Concept of government-subsidized energy prices for a group of individual consumers in Poland as a means to reduce smog," Energy Policy, Elsevier, vol. 144(C).
    13. Shekhar, Jai & Suri, Dhruv & Somani, Priyanshi & Lee, Stephen J. & Arora, Mahika, 2021. "Reduced renewable energy stability in India following COVID-19: Insights and key policy recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    15. Li, Ying & Chiu, Yung-ho & Lin, Tai-Yu, 2019. "Coal production efficiency and land destruction in China's coal mining industry," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    16. Aneta Grodzicka & Franciszek Plewa & Marcin Krause & Andrzej Figiel & Magdalena Rozmus, 2022. "Selection of Employees for Performing Work Activities in Currently Used Ventilation Systems in Hard Coal Mining," Energies, MDPI, vol. 15(2), pages 1-16, January.
    17. Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    18. Filip Johnsson & Jan Kjärstad & Johan Rootzén, 2019. "The threat to climate change mitigation posed by the abundance of fossil fuels," Climate Policy, Taylor & Francis Journals, vol. 19(2), pages 258-274, February.
    19. Zengwei Yuan & Jun Bi & Yuichi Moriguichi, 2006. "The Circular Economy: A New Development Strategy in China," Journal of Industrial Ecology, Yale University, vol. 10(1‐2), pages 4-8, January.
    20. Badera, Jarosław & Kocoń, Paweł, 2014. "Local community opinions regarding the socio-environmental aspects of lignite surface mining: Experiences from central Poland," Energy Policy, Elsevier, vol. 66(C), pages 507-516.
    21. Izabela Jonek-Kowalska & Marian Turek, 2017. "Dependence of Total Production Costs on Production and Infrastructure Parameters in the Polish Hard Coal Mining Industry," Energies, MDPI, vol. 10(10), pages 1-22, September.
    22. Katsiampa, Paraskevi, 2017. "Volatility estimation for Bitcoin: A comparison of GARCH models," Economics Letters, Elsevier, vol. 158(C), pages 3-6.
    23. Korski, Jacek & Tobór–Osadnik, Katarzyna & Wyganowska, Małgorzata, 2016. "Reasons of problems of the polish hard coal mining in connection with restructuring changes in the period 1988–2014," Resources Policy, Elsevier, vol. 48(C), pages 25-31.
    24. Trevor Zink & Roland Geyer, 2017. "Circular Economy Rebound," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 593-602, June.
    25. Vaněk, Michal & Bora, Petr & Maruszewska, Ewa Wanda & Kašparková, Alena, 2017. "Benchmarking of mining companies extracting hard coal in the Upper Silesian Coal Basin," Resources Policy, Elsevier, vol. 53(C), pages 378-383.
    26. Piotr Bórawski & Rafał Wyszomierski & Aneta Bełdycka-Bórawska & Bartosz Mickiewicz & Beata Kalinowska & James W. Dunn & Tomasz Rokicki, 2022. "Development of Renewable Energy Sources in the European Union in the Context of Sustainable Development Policy," Energies, MDPI, vol. 15(4), pages 1-20, February.
    27. Honorata Nyga-Łukaszewska & Kentaka Aruga & Katarzyna Stala-Szlugaj, 2020. "Energy Security of Poland and Coal Supply: Price Analysis," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
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