Model of World Steel Demand – Multiple Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F15%3APU121098" target="_blank" >RIV/00216305:26510/15:PU121098 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model of World Steel Demand – Multiple Regression
Original language description
The aim of this paper is to define factors that crucially influence worldwide demand for steel. The main goal is to calculate multiple factor linear model that would explain the influence of individual variables in global demand for steel. At the same time, this method enables to evaluate mutual relation of individual variables and to define whether there are complements and substitutes for steel. Initial parameters of the model are based on common econometric model of demand. Those ones that represent 2/3 of world output are chosen from macroeconomic figures. These are particularly economies of the US, EU, China and Japan. The results imply that the data sample is not very suitable for complex multiple-factor regression. Nevertheless, this model clearly shows extreme interconnection of world economies and comparatively big sensitivity of demand for steel to random variable, represented by worldwide military expenditures. Positive factors include world production of coal and annual inflation in China. The negative factor is represented by the price of iron ore. These results show that the demand is mostly influenced by price and production of complements.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50201 - Economic Theory
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
INNOVATION MANAGEMENT AND SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE: FROM REGIONAL DEVELOPMENT TO GLOBAL GROWTH, VOLS I - VI, 2015
ISBN
978-0-9860419-5-2
ISSN
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e-ISSN
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Number of pages
12
Pages from-to
1318-1330
Publisher name
INT BUSINESS INFORMATION MANAGEMENT ASSOC-IBIMA, 34 E GERMANTOWN PIKE, NO. 327, NORRISTOWN, PA 19401 USA
Place of publication
Madrid
Event location
Madrid
Event date
Nov 11, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000366872700131