Peer-reviewed articles 17,970 +



Title: MANAGERIAL VIEW OF THE DEPENDENCE OF SELECTED RAW MATERIALS ON EXTERNAL CONDITIONS

MANAGERIAL VIEW OF THE DEPENDENCE OF SELECTED RAW MATERIALS ON EXTERNAL CONDITIONS
J. Chlopecky;A. Pawliczek;S. Vilamova;Lad. Moravec;J. Hubacek;L. Moravec
1314-2704
English
18
1.3
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.
conference
18th International Multidisciplinary Scientific GeoConference SGEM 2018
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference-SGEM
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
553-560
02-08 July, 2018
website
cdrom
300
Decrease; macroeconomic indicators; industry indices; dependence; regression analysis

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