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NHH Brage
Master thesis . 2020
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Inventors in tax havens

Authors: Ro, Helene Merrild; Langli, Jørgen;

Inventors in tax havens

Abstract

The aim of this thesis is to examine to which extent inventors engage in tax havens, as well as the characteristics of the inventors engaged in tax haven compared to the average inventor. Inventors are behind the innovations that drive economic growth and technological development. However, the patents they create can be used to shift income to tax havens. This study examines whether inventors are overrepresented in tax haven, compared to their representation in the general population. In addition, examining characteristics of inventors that use tax havens can enlighten which type of inventors seek engagement in tax havens. Our empirical methodology consists of matching names in the PATSTAT register with names of shell company owners in the Offshore Leaks. Identification of inventors in the Offshore Leaks reveals that inventors are overrepresented in tax havens. This is especially prominent in East Asian countries. Inventors who engage in tax havens are more productive than the average inventor and there is a higher share of inventors in the field of electrical engineering in tax havens than on average. We find indications of inventors collaborating with their employer to engage in tax havens due to their higher share of corporate and public institution patents compare to independent individual patents compared to the average inventor.

nhhmas

Country
Norway
Related Organizations
Keywords

business analysis, performance management, economics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green