The subject of the study is the technical and economic condition of coal industry enterprises. The purpose of the article is to develop a methodology for ranking coal mines by the integral coefficient of prospects. Research methods: mathematical statistics using correlation and regression analysis to process data on technical and economic indicators of mines, expert assessments to form an information base. A methodology for ranking coal mines by prospects has been developed using a system of volumetric, technological, financial, economic, safety, environmental and social criteria for the functioning of coal industry enterprises that are accessible to the general public. The methodology takes into account the degree of importance of each criterion in terms of its impact on the technical and economic level of the mine. The system of criteria for the prospects of coal mining enterprises includes the following: installed production capacity of mines, coal production volumes, coal production volumes using new technologies, the cost of coal products, the category of mines by sudden coal and gas emissions, the number of employees and the number of residents of the community where the mine is located, and methane emissions. Mine ratings were calculated to identify unpromising mines that will be considered for further operation or closure The calculations took into account the WTO requirements for the prospects of coal mining enterprises, as well as the consequences of military operations in Ukraine. The analysis of the mines’ prospects was carried out in two areas of coal product use: for energy and coke production, respectively. The developed methodology allowed us to form a list of promising coal mining enterprises for steam and coking coal production. The research results provide an opportunity to make managerial decisions on further operation or closure of unpromising coal mining enterprises when developing forecasts of coal fuel supply for thermal power and the country's economy as a whole.

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Methodological Approaches to Determining the Prospects of Coal Mines

  • Vitaliy Makarov,
  • Mykola Kaplin,
  • Tetiana Bilan,
  • Mykola Perov,
  • Yevhen Shcherbyna

摘要

The subject of the study is the technical and economic condition of coal industry enterprises. The purpose of the article is to develop a methodology for ranking coal mines by the integral coefficient of prospects. Research methods: mathematical statistics using correlation and regression analysis to process data on technical and economic indicators of mines, expert assessments to form an information base. A methodology for ranking coal mines by prospects has been developed using a system of volumetric, technological, financial, economic, safety, environmental and social criteria for the functioning of coal industry enterprises that are accessible to the general public. The methodology takes into account the degree of importance of each criterion in terms of its impact on the technical and economic level of the mine. The system of criteria for the prospects of coal mining enterprises includes the following: installed production capacity of mines, coal production volumes, coal production volumes using new technologies, the cost of coal products, the category of mines by sudden coal and gas emissions, the number of employees and the number of residents of the community where the mine is located, and methane emissions. Mine ratings were calculated to identify unpromising mines that will be considered for further operation or closure The calculations took into account the WTO requirements for the prospects of coal mining enterprises, as well as the consequences of military operations in Ukraine. The analysis of the mines’ prospects was carried out in two areas of coal product use: for energy and coke production, respectively. The developed methodology allowed us to form a list of promising coal mining enterprises for steam and coking coal production. The research results provide an opportunity to make managerial decisions on further operation or closure of unpromising coal mining enterprises when developing forecasts of coal fuel supply for thermal power and the country's economy as a whole.