O34 - Intellectual Property and Intellectual CapitalReturn

This paper investigates the influence of foreign direct investment on innovation by em-ploying the panel cointegration method incorporating multiple structural breaks and a dynamic common correlated estimation for 34 countries over the period 1991-2016. Our findings indicate that the series of innovation and foreign direct investment are stationary after considering the potential structural breaks and that the external shock is mainly from country-specific shocks. Our results also suggest that a long-run co-integrated relationship exists with one break between foreign direct investment and innovation. Furthermore, the estimation based on the dynamic common correlated estimation shows that foreign direct investment has a long-run significant positive influence on technological innovation. Our findings shed light on the importance of accounting for structural breaks when discussing the relationship between foreign direct investment and technological innovation.

This paper aims to theoretically derive and afterwards econometrically assess the impact of intellectual property protection (IPP) on national economies. The authors’ main hypothesis is that by creating a form of non-market protection, IPP limits free competition and has no positive effects on national economies and the world economy in general. The hypothesis is tested through estimation of relationship between charges for the use of intellectual property and 1) gross domestic product, 2) GDP growth, 3) unemployment, 4) exports of high-tech products, 5) FDI outflow, and 6) expenses on research and development in a panel dataset of 146 countries in years 2005–2014 based Arellano-Bond estimator for dynamic panel models. The data tells us that changes in these charges have not a significant impact on the studied indicators, which counts against claims of positive impact of IPP on economies and growth.

In the last few decades, a valuation of intangible assets is an activity of particular importance, not only because of growing number of transactions with intangibles but for accurate financial reporting as well. In this discipline, a special area is dedicated to the research of different factors that affect the value of intangibles. Royalty rate, a price of the licensed intangible, is a typical measure of an intangible asset's value. This research paper aims at testing empirically selected factors that have been identified by theoretical literature as well as by licensing practice as relevant in determining the level of royalty rates. For this purpose, a multi-factor linear regression model is built using the latest possible sample of licensing transactions from consumer durables industry from 2002 to 2006. The authors make tests of dependent variable (royalty rate) on financial factors as well as on factors coming from different provisions of licensing agreements. Based on a sample of 67 transactions, the financial factors revealed themselves to be statistically negligible, while some license provisions, in particular the extent of rights granted and the license term appeared to be highly significant in determining the royalty rate level.