Innovation industry drivers
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Date
2013-08
Journal Title
Journal ISSN
Volume Title
Publisher
Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technical university of Liberec, Czech Republic
Abstract
Competitiveness of the economy of a country or region is determined by the extent of its ability to implement innovations. Not every industry, however, is a strong industry in terms of innovations, an innovative driving force; therefore there seems to be evidence to suggest that the level of innovation and consequently the level of economic competitiveness correspond to certain industrial structure, specifically to the dominance of the relevant "drivers". The aim of this paper is to compare the selected countries by their level of innovation, using the results from the Global Innovation Index from the point of view of the industry structure and evolution of gross domestic product per capita; to try to find an answer to the question of whether highly innovative countries differ in the industrial structure from innovation "retarded" countries and simultaneously to evaluate the position of the Czech Republic. To fulfil its objective, the research was divided into three parts: determining the degree of correlation between the level of innovativeness of the country and its performance as measured by gross domestic product per capita; applying the SHA-DE model to determine the positions of the industry in terms of their share in gross value added and growth rate with a sample of selected countries; determining the concentration ratio of the studied groups of the industry in this group of countries. The analysis confirms that it is non-innovative economies that focus on the industries of agriculture, hunting, forestry and fishing, while economies with the highest level of innovation focus on the "J-P" industries according to ISIC 3.1. The conclusion also serves as a background to formulate general recommendations for the Czech economy.
Description
Subject(s)
industrial structure, innovative industry, innovative regions, SHA-DE model
Citation
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ISSN
ISBN
978-80-7372-953-0