Impact of Sustainable Development and Environmental Protection on the Volume of Domestic Hard Coal Sales in Poland

The paper presents the results of an analysis of the impact of activities related to the implementation of Poland’s climate policy on the level of demand for hard coal. The authors used sets of indicators built by Eurostat during the analysis. The analysis was based on a set of indicators that had n...

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Bibliographic Details
Published in:	Energies (Basel) 2022-01, Vol.15 (2), p.443
Main Authors:	Rybak, Aurelia, Włodarczyk, Ewelina
Format:	Article
Language:	eng
Subjects:	Alternative energy sources ARMAX and ARIMA model Autoregressive models Carbon sequestration Climate change Climate policy Coal Demand Dependent variables Economic forecasting Electricity Emissions Energy consumption Energy policy Energy resources Environmental impact Environmental policy Environmental protection forecasting Fossil fuels Greenhouse gases identification Impact analysis Indicators Mean square errors Renewable resources Statistical analysis Sustainable development Variables
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Summary:	The paper presents the results of an analysis of the impact of activities related to the implementation of Poland’s climate policy on the level of demand for hard coal. The authors used sets of indicators built by Eurostat during the analysis. The analysis was based on a set of indicators that had not previously been used for this purpose. The applied ARAMAX model made it possible to study the impact of the presented indicators on the volume of demand for hard coal in Poland. They were introduced to the ARMAX model as explanatory variables. The demand for hard coal in Poland was the dependent variable. The set of indicators was verified, and finally only statistically significant factors were used to build the model. The forecast of the demand for hard coal was made until 2022. It showed that the volume of coal sales would systematically fall as long as factors affecting demand remain constant. However, an additional factor was taken into account in the analysis, namely the increase in demand and prices for hard coal on world markets. The ARIMA model was used to forecast price levels for the next 12 months. The forecast indicates that the time series of prices should maintain an upward trend within the examined time period. Building an accurate and reliable forecast is the basis for effective planning of coal production and is adjusted to the demand for this fuel.
ISSN:	1996-1073 1996-1073