Export of high-tech goods in the context of innovation transfer for social-economic development: factor analysis

The purpose of the study is to determine factors that have greatest influence on growth export high-tech goods in context innovation transfer for social-economic development. Factor analysis tools, including principal component and Varimax rotation (orthogonal transformation) method Statgraphics software, are used identify most significant indicators impact goods, as a key determinant characterizing quality scientific educational potential, latent signs their interaction. A modified logistic function normalize input data 11 investigated sample 28 countries. Ten linear combinations variables obtained, which explain variability. first four components eigenvalues greater than or equal 1.0. Together, they account 88.520% variability original data. After orthogonal transformation by method, factor load matrix obtained. econometric models, describes independent represented. Next, influential from revealed, namely: country’s research development expenditure, GDP current prices, staff researchers sector business enterprises, percentage ICT total employment. They taken develop multiple regression effective goods. results confirmed using Kaiser-Meier-Olkin test Bartlett test. Regression with strict screening non-significant Backward Stepwise Selection tool confirms significance indicator personnel has pair model it increase enterprises 1% causes average 0,73%.