Suchergebnisse

The paper analyses public subsidies aimed to enhance development and innovation in the Slovakian private sector. The paper reviews theoretical approaches of the necessity of public support to research and development activities in order to increase private investment in research and development. An overview of research and development support tools in Slovakia is presented. The analytical part of the work is oriented on a comparative analysis of two granting agencies in Slovakia [Agency for Research and Development (ARD) and Agency of Operational Program Research and Development (OPRD)]. Special attention is given to direct public financial support. Logit analysis showed a relationship between success of grant applicants and their characteristics. We find that the following have impact on success of the application: Age of the company, amount of the grant required, legal form of the company, and the agency to which the application for grant was submitted. Applicants with legal form Ltd. (limited liability company) have a higher chance of receiving grant than other legal forms. The highest chance of success has a request for a grant of up to 500.000 €. According to the results of our analysis, the chance to obtain a grant decreases with each passing year.

The aim of this article is to analyse the relationship between financial indicators in the Slovak engineering industry. We analyse the dependence of the financial indicator return on assets (ROA) on other financial indicators of companies in the engineering industry of the Slovak Republic, namely indicators of indebtedness (ED, FL, TI), liquidity (QR, CR, NWC/A), productivity (VA/PC, VA/S), cost efficiency (PC/S), and activity (TA). The research sample comprises the data of 34 significant Slovak engineering companies for the period 2008-2020. Tests for slope homogeneity demonstrated heterogeneity, which motivated the use of a partially heterogeneous framework for short panel data models – a regression clustering approach. This method divides the entities into clusters so that the column coefficients are homogeneous inside the clusters. The 4-cluster model appeared to be the most favorable model for the studied group of companies. The conducted procedures can be extended to companies from other economic sectors. Understanding of the relationship between ROA and other financial indicators allows for more effective business management.