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The European Union’s climate policy and the energy transition associated with it force individual countries, their economies and their industrial sectors to carry out thorough changes, often of a deep, high-cost and restructuring nature. The aim of the article is to provide a multidimensional assessment of the forms and effects of the restructuring of coal mining companies in Poland in light of the current energy transition process. The research problem is encapsulated within the following two interdependent questions: Has the restructuring process allowed the coal mining industry to achieve sufficient efficiency to sustainably compete in the open market, and to what extent, if at all, have the objectives of restructuring been achieved from the perspective of changes in the energy mix? The research covers all coal mining companies included in the official statistics. It adopts a long-term perspective (1990–2020), dating from the beginning of the systemic transformation in Poland. The research involved the use of multivariate financial analysis methods, including the logit model for predicting the degree of financial threat, as well as taxonomic methods for assessing the dissimilarity of structures and their concentration. The general conclusion of the research is that there has been a lack of consistency (follow-up) between the forms and effects of restructuring in coal mining companies in Poland on the one hand and changes in the composition of the country’s energy mix as a result of the energy transition on the other. In particular, this means that such restructuring, being neither effective nor efficient, has failed to accelerate change in the energy mix.

Methane emissions from coal mining remain a significant environmental challenge in the European Union, particularly in the context of climate change commitments and the ongoing transformation of the energy sector. This article analyses methane emissions from surface and underground coal mining, distinguishing between emissions from mining activities, abandoned underground mines, and post-mining activities. A key aspect of the analysis is the methane emissions per 1000 tonnes of lignite and hard coal mined, which allows a comparison of emission intensities between different mining methods. Between 2009 and 2021, methane emissions from coal mining in the EU decrease, with reductions of 2436 kt CO2 eq. (87 kt CH4) from surface mining and 16,518 kt CO2 eq. (590 kt CH4) from underground mining. However, total methane emissions in 2021 still amount to 25,414 kt CO2 eq. (908 kt CH4), with underground mining contributing 84.7% of the emissions. Discrepancies in national emissions reporting and the lack of transparent data on methane emissions from imported coal make accurate assessments difficult. Strengthening international cooperation, improving data transparency, and exploring methane recovery for energy use are essential steps towards achieving the EU’s climate change objectives.

The article aimed to present the balance of outlays and the effects of restructuring Polish hard coal mining companies in the face of directions of the Energy Policy of Poland PEP 2040. The research problem is defined by the following question: have the goals of restructuring coal mining companies been achieved (and to what extent), and has the restructuring-related expenditure been economically rational? An answer to this question is based on the verification of five research hypotheses, in particular, have the incurred costs of restructuring contributed to changes to the energy mix (its desired time and degree), reducing related expenditure? The scope of research comprises all companies engaged in the extraction of solid mineral energy resources (the entire industry). An assessment of the restructuring process was conducted from two perspectives related to its time and scope. The first perspective was the restructuring programme as a sub-process of the economic transformation (1990–2020), and economic forecasts until the planned coal phase-out (2021–2049). The second perspective was an analysis of the mechanism that determines companies’ performance after carrying out typical and direct restructuring activities (2007–2021). Two multivariate measures were developed for methodological purposes, and the analysis also made use of a logit prediction model and several financial analysis ratios. The analysis led to the general conclusion that the restructuring of hard coal mining companies was not effective—it did not ensure their independent and effective functioning. In particular, the analysis led to the following conclusions: (1) the restructuring process had different levels of intensity, which allowed for its periodization; (2) the main and increasingly important factor of changes was human labour productivity (as opposed to objectified labour—machines and equipment); (3) the identified mechanism of creating results pointed to the areas of inappropriate management; (4) the previous restructuring costs did not contribute to changing the energy mix, and they are likely to rise until coal phase-out.

In Poland, the gradual reduction in hard coal mining represents a cornerstone of the energy transition and economic restructuring strategy, with all mines scheduled to close by 2049 under the Social Agreement. Given Poland’s strong reliance on coal, this process has far-reaching implications for energy security, employment, regional development, and macroeconomic stability. The aim of this study is to assess the role and scale of the hard coal mining sector’s contribution to GDP and to examine the consequences of its gradual decline for the national energy mix. In the input–output framework, a reduction in domestic hard coal supply is modelled as a shock to the output of the disaggregated hard coal sector, affecting both intermediate demand and value added through inter-industry linkages. The analysis applies an inter-industry input–output framework based on a decomposed Input–Output Table of Poland, where the aggregated “hard coal and lignite” branch was disaggregated into thermal hard coal, coking coal, and lignite. Reduction Variants (WR25%, WR50%, WR75%, and WR100%) were combined with Substitution Variant WS2, which assumes replacement of domestic hard coal with imported coal, natural gas, and electricity under varying price scenarios (−40% to +40% relative to reference levels). The Migration Variant was also included to account for labour market effects. This approach generated a set of 100 scenarios, reflecting possible pathways of Poland’s energy transition. The results demonstrate that in every scenario, reducing domestic hard coal supply leads to a decline in GDP. Losses range from −0.175% to −0.25% under WR25% scenarios to between −0.775% and −1.1% under WR100%, depending on the relative prices of imported substitutes. Substitution patterns are highly sensitive to price dynamics: under low natural gas prices, gas dominates the replacement mix (over 57% share), while under high gas prices, imported coal prevails (70–90%). Electricity imports consistently remain marginal. These outcomes highlight Poland’s structural dependence on coal, the vulnerability of GDP to external price shocks, and the limitations of substitution options. This study concludes that the reduction in domestic coal mining, though inevitable in the context of the EU climate policy, will not be economically neutral. It requires careful management of substitution pathways, diversification of the energy mix, and socio-economic support for coal regions. The input–output framework used in this research offers a robust tool for quantifying both direct and indirect effects of the coal phase-out, supporting evidence-based policy for a just and sustainable energy transition.

Energy transition is one of the main objectives of the European Union. Significant changes will mainly affect countries in which significant modifications will have to be made to their energy sources. The process will involve high investment in infrastructure and additional costs of the transformation, such as reduced production (which may affect the GDP value) in the economic sectors involved in the process. The aim of this article is to provide the energy transition community, namely the national economy in general and those involved in planning for structural change in particular, with the key lessons and challenges in researching the impact of production changes in the mining sector. This article also shows the relevance of the mining sector in the economy. Within this area, particular attention is given to the following issues: the impact of economic sectors on the country’s GDP (gross domestic product); the identification of key sectors of the economy using the input–output method; the contribution of coal mining and the mining industry to Poland’s GDP; an analysis of changes in the structure of Poland’s economy using the input–output method; and the use of the input–output method in the context of changing/reducing the supply of economic sectors.

The coal industry, alongside manufacturing, was one of the key industries that determined the settlement-economic development of the Upper Silesian Coal Basin (USCB). This research focuses on the economic potential of the eastern part of the USCB, i.e. the Dąbrowa Basin (DB), and covers the period of industrialization up to 1918. At that time, there were over 160 coal mines, both deep and open-cast, operating in the region. The largest number of former hard coal mines were located in the present area of Sosnowiec (41,1%) and Dąbrowa Górnicza (28,6%). This research attempts to clarify the role of coal mining in the transformation of the DB’s economy and settlement network. In order to understand the mechanisms contributing to the accumulation of economic growth in certain places, the influence of a group of interdependent causal factors (spatial, economic and institutional) was analysed. Reference is made to the theory of poles of development and Myrdal’s process of cumulative causation. Several dozen archival cartographic materials (mainly topographic maps and mining field plans) were used to analyze settlement and functional changes in the DB area from an evolutionary perspective. This allowed for a discussion on the connection between coal mining and other factors driving changes in economic and settlement structures in DB. An attempt was also made to stage the transformation process of the studied towns and to determine their genetic and morphological changes. The transformation of the rank of localities stemming from the emergence of specialized central places is also described.

The environmental consequences of mine flooding in the Saar hard coal district, post-mining re-use concepts in the course of the energy transition, and the potential of coalbed methane production require an understanding of subsurface rock properties on the microscale. In this study, mineralogy, microtexture, microstructure, porosity, permeability, and geochemistry of an Upper Carboniferous (Stephanian A–B) drill core recovered in the Saar–Nahe basin are quantified. Based on these data, the diagenetic history and reservoir quality are analyzed regarding mine flooding and coalbed methane potential. The feldspar-poor and igneous rock fragment-free siliciclastic rock succession shows multiple fining upward sequences deposited in a fluvial environment during the pre-volcanic syn-rift phase of the Variscan intramontane Saar–Nahe basin. Intercalated small-scale coarsening upward sequences are related to the floodplain where near-surface soft-sediment deformation and paleosol formation took place. Porosity (< 7%) of the tight siliciclastic rocks is mainly controlled by an interplay of authigenic microporous kaolinite, dissolution porosity, and quartz cement, whereas permeability (< 0.05 mD) shows no systematic variation with petrography. During burial, quartz cements preserved porosity by stabilizing the granular framework against mechanical compaction, while phyllosilicates were ductilely deformed reducing reservoir quality. Relative phyllosilicates and quartz contents and mean grain size are reliably inferred from SiO 2 /Al 2 O 3 ratios (1.8–28.8), Ba (0.0108–0.0653 wt%), Rb (0.0024–0.0181 wt%), and Sr (0.0013–0.0086 wt%) concentrations measured with a portable x-ray fluorescence analyzer. Regarding coalbed methane production and mine flooding, sealing of cleats and heterogeneous subsurface rock properties due to dynamically changing depositional settings during the Late Carboniferous need to be considered. Graphical abstract

The European Green Deal strategy, implemented in The United Europe until the beginning of 2025, which was replaced in UE in March of this year by the Clean Industrial Deal strategy, brings with it undoubted environmental benefits, but it is also associated with considerable economic challenges, including those related to social determinants. This article focuses on the difficulties, presenting estimates of the cost levels reflecting economic and social losses in the environmental value chain of hard coal mining in Poland in relation to the planned liquidation of the hard coal sector for energy purposes in this country. The result of these calculations and the discussions conducted on their basis is the author's final statement about very high economic and social losses, which may be difficult to respond to, especially in a short time, with valuable benefits resulting from the implementation of new industrial solutions in the field of energy based on renewable energy sources.

This article presents the results of long-term monitoring of land subsidence in the Bielszowice area (Upper Silesian Coal Basin) using archival maps from the late 19th and 20th centuries, as well as contemporary LIDAR models from 2012 and 2022. The research work conducted included an analysis of subsidence caused by mining activities based on four terrain models: a historical terrain model obtained by digitizing Messtischblätter topographic maps, showing the land surface in 1883, a terrain model obtained by vectorizing Polish topographic maps from 1993, and LIDAR digital terrain models from 2012 and 2022. The study shows that over a period of 139 years, the study area subsided by an average of 9.5 m, which translated into an anthropogenic land subsidence rate of 68 mm/year and a subsidence volume of 100.5 million m3. The greatest subsidence occurred in the northern part of the study area, where basins with depths exceeding 30 m (the maximum subsidence amounted to 36 m) emerged. During the 139 years studied, land subsidence affected the entire area that was built up until 2022. Overall, 38.9% of built-up areas subsided by less than 10 m, 54.0% was subject to subsidence ranging between 10 and 20 m, and subsidence of more than 20 m affected 7.1% of the areas. Such large-scale subsidence in an urbanized area resulted in mining damage to houses and other infrastructure (e.g., railroads, roads); in extreme cases, some structures had to be demolished. Bielszowice is a good example of an area where spatial conflicts have emerged that have been related to the activities of industrial plants on the one hand and the development of urban areas on the other.

In Poland, a dynamic increase in the share of renewable energy sources in the national energy mix has been observed in recent years. Until now, these were mainly installations used for the needs of single-family houses and large-scale installations used on the RES auction market. However, due to the fact that the carbon footprint of the offered products is taken into account, this aspect is becoming more and more important. The carbon footprint can be offset by, among others, by covering the energy needs of the industrial plant by its own renewable energy sources. The article analyzes four sample electricity demand profiles of production plants operating in the mining industry, mainly located in Upper Silesia. Using statistical methods, the fitting of potential photovoltaic sources production profiles to the electricity consumption profiles in the analyzed case studies was checked. The analysis was carried out for each hour of the day and for the profiles weighted by the electricity price from the Polish Power Exchange on the Day-Ahead Market, because matching profiles at different hours has a different monetary value and, as a result, a different impact on operation costs. The highest correlation coefficient between electricity consumption and insolation on an annual basis was −0.29 in the Spearman rho-statistic for the case of M1 enterprise. On the other hand, the highest value at the level of 0.48 was achieved by the Pearson r-correlation coefficient determined on a monthly basis between the monetary value of electricity consumed and insolation in June for the M2 enterprise.