Analysis of the Influence of Intellectual Capital Use Efficiency on National Competitiveness Growth

Abstract

Aim. The aim of the study is to reveal the relationship between the level of effectiveness of national intellectual capital use and the level of national competitiveness and to detect if there is a difference in the character of the relationship in developed and developing countries. In the article the description of national intellectual capital and its components is presented. The character of the relationship between the indicators that reflect the level of intellectual capital development and the efficiency of its use and one of the macroeconomic indicators of national competitiveness – the national labor productivity, expressed in gross domestic product (GDP) per person employed, – is examined. Method. The analysis of the influence of country’s intellectual capital and the efficiency of its use on the national competitiveness increase was performed by the method of correlation-regression analysis as the most suitable for this for this purpose. The study was conducted on a sample of 215 countries and their indicators on the basis of their assignment to the groups depending on income level. Results. The study has confirmed the dependence of the target indicator of country’s labor productivity, expressed in GDP per person employed on the indicators of the efficiency of intellectual capital use. The belonging of a country to one or another income group does not affect the nature of the relationship between the level of national competitiveness and the level of indicators which characterize the efficiency of intellectual capital use. Conclusion. To develop an effective set of measures to improve the efficiency of national intellectual capital use it is advisable to consider not only the experience of countries which belong to the group of high income level, but also the experience of countries from other groups, for example, the experience of rapidly developing countries from upper middle and middle groups such as China, Brazil, India.

DOI: 10.5901/mjss.2015.v6n6s2p420