C21 - Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile RegressionsReturn

Results 1 to 2 of 2:

On the Investment Attractiveness of Ukrainian Companies

Natálie Veselá, Volodymyr Rodchenko, David Hampel

European Journal of Business Science and Technology 2022, 8(1):54-71 | DOI: 10.11118/ejobsat.2022.001

The geographical location of Ukraine provides a multitude of possibilities for successful investment activity. There are rich natural resources, a fertile soil and a qualified low-cost labour force. On the other hand, investors have to deal with historical ties to the Soviet Union, corruption, and political instability exacerbated by occupation of part of the territory by Russia. This paper deals with the possibility of identifying the investment attractiveness of the particular sectors in Ukraine by the level of concentration measured by the Herfindahl-Hirschman index. Accounting data of companies taken from the Orbis database are evaluated by ABC analysis and the general linear model. The results point to significant dependency of variables representing investment attractiveness on the Herfindahl-Hirschman index, where deviations are explained by sectoral specifics.

Intangible Assets and the Determinants of a Single Bank Relation of German SMEs

Jarko Fidrmuc, Philipp Schreiber, Martin Siddiqui

European Journal of Business Science and Technology 2018, 4(1):5-30 | DOI: 10.11118/ejobsat.v4i1.130

We focus on the determinants and potential benefits of relationship banking. Based on the existing literature and the unique role intangible assets play regarding firms' capital structure, we test two hypotheses using rich data on firm-bank relationships in Germany. We show that firstly, a high share of intangible assets does not worsen the access of firms to debt financing. And secondly, firms with a high share of intangible assets are statistically significantly more likely to choose an exclusive and persistent bank relation.