Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development
Globalization has accelerated the growth of innovation in many countries outside the European Union. In order to remain competitive, companies and individual EU economies therefore support the development of innovations through investments in research and development. This contribution is focused on...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2021-01-01
|
| Series: | SHS Web of Conferences |
| Subjects: | |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2021/01/shsconf_eccw2020_01008.pdf |
| _version_ | 1818388834094678016 |
|---|---|
| author | Kostiuk Yaroslava Korená Kristína |
| author_facet | Kostiuk Yaroslava Korená Kristína |
| author_sort | Kostiuk Yaroslava |
| collection | DOAJ |
| description | Globalization has accelerated the growth of innovation in many countries outside the European Union. In order to remain competitive, companies and individual EU economies therefore support the development of innovations through investments in research and development.
This contribution is focused on the specification of value added in terms of investments in research and development in the construction and manufacturing sectors. Using statistics of the European Commission for the period 2013 – 2017, a dataset of 269,892 companies in the EU28 countries was generated.
The purpose of this contribution is to determine to what extent investment in research and development participates in the creation of value added. A research question was formulated to determine the ideal ratio between value added and investment.
Methods: To achieve the objectives set, regression analysis of neural networks was applied using Statistica software.
The results of the research indicate that the optimal values in the construction sector were achieved by Great Britain (~EUR 11.3 billion.) and France (~EUR 16.1 billion), and in the manufacturing sector by France (~EUR 11.42 billion), Italy (~EUR 11.41 billion) and Great Britain (~EUR 10.6 billion).
The authors consider the method of regression analysis and neural networks to be appropriate for examining the optimal ratio between investment in R&D and value added. |
| first_indexed | 2024-12-14T04:32:08Z |
| format | Article |
| id | doaj.art-3635ac3b7b4d461e9b156d94ddd22607 |
| institution | Directory Open Access Journal |
| issn | 2261-2424 |
| language | English |
| last_indexed | 2024-12-14T04:32:08Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj.art-3635ac3b7b4d461e9b156d94ddd226072022-12-21T23:17:03ZengEDP SciencesSHS Web of Conferences2261-24242021-01-01900100810.1051/shsconf/20219001008shsconf_eccw2020_01008Comparison of Value Added within EU in Terms of Corporate Investment in Research and DevelopmentKostiuk Yaroslava0Korená Kristína1Institute of Technology and Business, Faculty of Corporate StrategyInstitute of Technology and Business, Faculty of Corporate StrategyGlobalization has accelerated the growth of innovation in many countries outside the European Union. In order to remain competitive, companies and individual EU economies therefore support the development of innovations through investments in research and development. This contribution is focused on the specification of value added in terms of investments in research and development in the construction and manufacturing sectors. Using statistics of the European Commission for the period 2013 – 2017, a dataset of 269,892 companies in the EU28 countries was generated. The purpose of this contribution is to determine to what extent investment in research and development participates in the creation of value added. A research question was formulated to determine the ideal ratio between value added and investment. Methods: To achieve the objectives set, regression analysis of neural networks was applied using Statistica software. The results of the research indicate that the optimal values in the construction sector were achieved by Great Britain (~EUR 11.3 billion.) and France (~EUR 16.1 billion), and in the manufacturing sector by France (~EUR 11.42 billion), Italy (~EUR 11.41 billion) and Great Britain (~EUR 10.6 billion). The authors consider the method of regression analysis and neural networks to be appropriate for examining the optimal ratio between investment in R&D and value added.https://www.shs-conferences.org/articles/shsconf/pdf/2021/01/shsconf_eccw2020_01008.pdfvalue addedinvestmentresearch and development |
| spellingShingle | Kostiuk Yaroslava Korená Kristína Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development SHS Web of Conferences value added investment research and development |
| title | Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development |
| title_full | Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development |
| title_fullStr | Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development |
| title_full_unstemmed | Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development |
| title_short | Comparison of Value Added within EU in Terms of Corporate Investment in Research and Development |
| title_sort | comparison of value added within eu in terms of corporate investment in research and development |
| topic | value added investment research and development |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2021/01/shsconf_eccw2020_01008.pdf |
| work_keys_str_mv | AT kostiukyaroslava comparisonofvalueaddedwithineuintermsofcorporateinvestmentinresearchanddevelopment AT korenakristina comparisonofvalueaddedwithineuintermsofcorporateinvestmentinresearchanddevelopment |