SHS Web Conf.
Volume 74, 2020The 19th International Scientific Conference Globalization and its Socio-Economic Consequences 2019 – Sustainability in the Global-Knowledge Economy
|Number of page(s)||6|
|Section||Regions and Economic Resilience|
|Published online||10 January 2020|
The efficiency of public support of innovation activities of foreign-owned companies
Institute of Technology and Business in Ceske Budejovice, Department of Economics, Okruzni 517/10, 370 01 Česke Budejovice, Czechia
* Corresponding author: email@example.com
The analysis aims at the different innovation activities of foreign-owned enterprises in the Czech economy. Data comes from the Czech Community Innovation Surveys of 2010, 2012, and 2014. This paper evaluates new-to-the-market innovation activities at the firm level. The analyzed sample consists of observations about innovators and companies that did not engage in new-to-the-market innovation activities in the last three years. This paper explores the relationship between public support and innovation activities of multinationals. The first results suggest public support (local government funds, national government funds, EU funds, EU Framework, and Horizon funds) is not always statistically significant in terms of R&D expenditures in comparison to unsupported firms. The additional contribution of public support for innovation output is again not always statistically significant. Results suggest that local government funds (grant projects) are beneficial for foreign-owned new-to-the-market innovators. Those local government funds are contributing both to innovation input (R&D expenditures) and innovation output (sales of innovated goods and services). Other public support variables indicate a crowding-out effect of private R&D&I investment. Globalization tendencies are supported by governments and future research should aim at a more complex analysis of multinationals’ behavior in this area.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.