CHLOPECKÝ, Jakub, Adam PAWLICZEK, Omar AMEIR, Jaroslav HUBÁČEK and Ladislav MORAVEC. Managerial view of the dependence of selected raw materials on external conditions. In 18th International Multidisciplinary Scientific Geoconference, SGEM 2018; Albena; Bulgari. Sofia, Bulgaria: International Multidisciplinary Scientific Geoconference SGEM, 2018, p. 553-560. ISBN 978-619-7408-35-5. Available from: https://dx.doi.org/10.5593/sgem2018/1.3/S03.071.
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Basic information
Original name Managerial view of the dependence of selected raw materials on external conditions
Authors CHLOPECKÝ, Jakub, Adam PAWLICZEK, Omar AMEIR, Jaroslav HUBÁČEK and Ladislav MORAVEC.
Edition Sofia, Bulgaria, 18th International Multidisciplinary Scientific Geoconference, SGEM 2018; Albena; Bulgari, p. 553-560, 2018.
Publisher International Multidisciplinary Scientific Geoconference SGEM
Other information
Original language English
Type of outcome Proceedings paper
Confidentiality degree is not subject to a state or trade secret
Organization unit Moravian Business College Olomouc
ISBN 978-619-7408-35-5
ISSN 1314-2704
Doi http://dx.doi.org/10.5593/sgem2018/1.3/S03.071
Keywords in English Decrease; Dependence; Industry indices; Macroeconomic indicators; Regression analysis
Changed by Changed by: Ing. Michaela Nováková, učo 5293. Changed: 10/5/2021 08:01.
Abstract
After 1989, when significant economic and social changes took place in the Czech Republic, the mining of most minerals was gradually reduced by 30-40%. The development of the external environment, especially the external conditions directly/indirectly-positively/negatively affects mining of mineral resources. In the presented article, we examine the dependence between exploitation of black coal and external conditions in terms of management. Selected macroeconomic indicators (not only in the Czech Republic but also in Germany) and industry indicators describing external conditions were chosen. This investigation of this issue was based on available empirical data, including mining and macroeconomic sector. Dependence was determined by multidimensional regression analysis. The processing engine for multidimensional regression analysis was the RKWard software. The results of the exploitation of black coal, as the examined mineral, lead to further research, e.g., in the field of econometric modeling and prediction of the raw materials’ extraction, which the authors continue to address. © 2018, International Multidisciplinary Scientific Geoconference. All rights reserved.
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