Managing research and development process in conditions of economic growth of Kazakhstan: Methods and analysis


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This study aims to assess the relationship between R&D and economic growth in terms of their ability to understand R&D management. In the paper, the algorithm of actions was used, which allows ensuring interconnection, sequence of work, validity of the choice of the methods used, and defining key factors over a long period. The following methods of the empirical study were used: analysis of the provision of level development; regional analysis of the data; correlation analysis. Based on correlation analysis the impact of economic growth on R&D was investigated, which is expressed by such variables as the number of organizations engaged in R&D, internal expenditures in R&D, expenditures for technological innovations, number of employees in R&D. The data were obtained from the World Bank, the Eurasian Economic Union, and the statistical yearbook of Kazakhstan for 2009–2019. The results obtained show that all determinants correlate not only with the GDP but with each other as well. According to the findings, viewing the GDP level, there is a positive and negative correlation link between such two factors as ‘the number of research organizations’ and ‘R&D technological innovations’. These coefficients of correlation between GDP and independent factors selected for the analysis are significant, i.e. they can significantly affect the value of the GDP. The obtained results are useful in formulating the R&D development management strategy.

This study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (grant IRN AP08052800 “Intellectual potential of the regions of the Republic of Kazakhstan: assessment and development prospects”).

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    • Table 1. Number of organizations performing R&D by sector of performance for 2009–2019
    • Table 2. Internal R&D expenditures by sector of performance for 2009–2019, in million KZT
    • Table 3. Sources of financing for internal R&D expenditures for 2009–2019, in million KZT
    • Table 4. Internal costs on R&D for 2009–2019, in million KZT
    • Table 5. The number of enterprises engaged in R&D for 2009–2019
    • Table 6. Pearson correlation matrix of the variables
    • Conceptualization
      Anel Kireyeva, Dana Kangalakova
    • Data curation
      Anel Kireyeva
    • Formal Analysis
      Anel Kireyeva, Anna Kredina
    • Funding acquisition
      Anel Kireyeva, Dana Kangalakova, Anna Kredina
    • Investigation
      Anel Kireyeva, Dana Kangalakova, Zaira Satpayeva
    • Project administration
      Anel Kireyeva, Marat Urdabayev
    • Supervision
      Anel Kireyeva, Anna Kredina, Zaira Satpayeva
    • Visualization
      Anel Kireyeva, Anna Kredina, Zaira Satpayeva
    • Writing – original draft
      Anel Kireyeva
    • Writing – review & editing
      Anel Kireyeva
    • Methodology
      Dana Kangalakova
    • Resources
      Dana Kangalakova, Anna Kredina, Zaira Satpayeva, Marat Urdabayev
    • Software
      Zaira Satpayeva, Marat Urdabayev