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Title Export of high-tech goods in the context of innovation transfer for social-economic development: factor analysis
Authors Habenko, M.
ORCID
Keywords бізнес
business
кооперація
coopetition
освіта
education
високотехнологічний
high-tech
інноваційність
innovation
досвід
knowledge
НДДКР
R&D
наука
science
технології
technology
трансфер
transfer
Type Article
Date of Issue 2023
URI https://essuir.sumdu.edu.ua/handle/123456789/92259
Publisher Sumy State University
License Creative Commons Attribution 4.0 International License
Citation Habenko, M. (2023). Export of high-tech goods in the context of innovation transfer for social-economic development: factor analysis. SocioEconomic Challenges, 7(2), 152-160. https://doi.org/10.21272/sec.7(2).152-160.2023.
Abstract The purpose of the study is to determine factors that have the greatest influence on the growth of export of high-tech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country’s research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%.
Appears in Collections: SocioEconomic Challenges (SEC)

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China China
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India India
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South Africa South Africa
1
Spain Spain
1
Ukraine Ukraine
972063
United Kingdom United Kingdom
1
United States United States
3106853
Unknown Country Unknown Country
1
Vietnam Vietnam
67437

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