Abstract:
Abstract
Object: To study the correlation analysis of GDP indicators and factors of innovative developmentof the
economy of Kazakhstan.
Methods: We have applied the method of quantitative data processing, which is correlation analysis. Correlation
analysis is one of the most effective tools for statistical research of the economy. It allows for identification of
cause-and-effect relationships between various phenomena in economy, management, and social sphere. We have
processed the obtained data mathematically using a multitude of software titles and the Microsoft Excel and StatSoft
Statistica 10 suites.
Results: The article describes retrospective statistical data of a research object, assesses the relationship between
GDP and factors of innovative development using a set of variables.
The article conducts correlation analysis of indicators that characterize the amount of R&D and GDP costs.
It presents main indicators of enterprise innovation for 2014—2018, displays the share of innovative products
(goods, services) in GDP for 2006—2018, reveals sources of financing of domestic R&D (million KZT) for 2014—
2018, discloses correlation matrix of indicators characterizing the introduction of innovations into the Republic of
Kazakhstan economy. The matrix includes the following variables: number of employees engaged in R&D, number
of innovative enterprises, domestic R&D expenditures, share of innovative products, expenditures on technological
innovations, trademark registration and patent issuance, and R&D. We have built an exponential equation of the correlation-
regression model, and found the coefficient of determination.
Conclusions: Innovative development of the state's economy depends heavily on the use and implementation
of high-performance technologies and latest developments. There is a close relationship with innovation and science
and technology development. Economy’s way to innovative development requires effective expenditures on areas
related to innovation and scientific research.
