Paliu-Popa, Lucia and Chirtoc, Irina Elena and Busan, Gabriela and Todorut, Amalia Venera (2016): Interdependence between the steel castings and manufacture of machines and equipment. Published in: Metalurgija , Vol. 56, No. 1-2 (10 February 2017): pp. 252-254.
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Abstract
Starting from the fact that the metallurgical industry is the main supplier of raw material both for the equipment and machines industry, as well as for the car industry, this paper analyses, by means of the regression function, to what extent the quantity of casting of steel was influenced, on the one hand by the manufacture of machines and equipment, and on the other hand, by the manufacture of car body. Data subject to the study were related to the period January 2002 – June 2016 (174 months) and was conducted both at the level of the European Union, as well as at the level of the main countries manufacturing steel at its level, namely: Germany, Italy, France and Spain.
Item Type: | MPRA Paper |
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Original Title: | Interdependence between the steel castings and manufacture of machines and equipment |
English Title: | Interdependence between the steel castings and manufacture of machines and equipment |
Language: | English |
Keywords: | metallurgical industry; steel casting; manufacture; machines and equipment |
Subjects: | L - Industrial Organization > L6 - Industry Studies: Manufacturing > L61 - Metals and Metal Products ; Cement ; Glass ; Ceramics |
Item ID: | 87382 |
Depositing User: | lucia paliu-popa |
Date Deposited: | 29 Jun 2018 18:41 |
Last Modified: | 10 Oct 2019 01:00 |
References: | http://www.worldsteel.org, Sustainable steel. At the core of a green economy. http://www.worldsteel.org/Steel-markets/ Automotive.html – Automotive. http://ec.europa.eu/eurostat/data/database. Paliu-Popa L., Impact of the economic and financial crisis on the evolving trend of crude steel consumption, Metalurgija 55 (2016) 2, 267-270. Seber G.A.F., Lee A.J., Linear Regression Analysis, Second Edition, John Wiley & Sons Publication, Canada, New Jersey, 2003, pp. 36. Arbuckle J.L.,IBM SPSS Amos 19 User’s Guide, Amos Development Corporation, IBM Corporation, USA, Chicago, 2010, pp. 221-229. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/87382 |