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Strategic directions for increasing the gross value added of the high-tech sector (on the example of the Ukrainian economy)

Author

Listed:
  • Borys Burkynskyi

    (Institute of Market Problems and Economic-Ecological Research NAS of Ukraine, Ukraine)

  • Olga Iermakova

    (Institute of Market Problems and Economic-Ecological Research NAS of Ukraine, Ukraine)

  • Olga Iermakova

    (Odessa National University of Economics, Ukraine)

  • Oleksandr Laiko

    (Institute of Market Problems and Economic-Ecological Research NAS of Ukraine, Ukraine)

Abstract

The article presents the results of research devoted to the development of conceptual and methodological bases for determining strategic directions for increasing the gross value added of the high-tech sector of the national economy, in particular, the modern role of high-tech and science-intensive sectors in economic development and the structure of the high-tech sector of the national economy are studied, the state of the high-tech sector of the Ukrainian economy and its gross value added are analysed, the types of economic activity of the high-tech sector are classified into strategic groups, strategic directions for increasing the gross value added of the high-tech sector of the Ukrainian economy are determined. The improved methodological approach to classifying the types of economic activity of the high-tech sector into strategic groups provides a differentiated approach to the development and reveals the sources of strategic directions for increasing gross value added. Value added and output were selected as classification criteria, taking into account the dynamics of development. Depending on the value added generated by a particular type of economic activity and its growth rate, all types of economic activity can be divided into four groups: strategic leaders, potential leaders, current leaders, and problem sectors. The proposed methodological approach helps to identify the risks from an inertial scenario, that is, the development of the situation by gravity without an appropriate policy, as well as to determine the strategic directions for implementing a progressive scenario. Systematic development of the high-tech sector is possible if the appropriate policy is formed on the basis of the national innovation system, the elements of which are: state regulation in the field of innovation; supply and demand of innovations; market infrastructure for innovations; human resources. According to these elements, the policy measures aimed at increasing the gross value added of economic activities of the high-tech sector, which have their own characteristics depending on the classification group, are systematized.

Suggested Citation

  • Borys Burkynskyi & Olga Iermakova & Olga Iermakova & Oleksandr Laiko, 2021. "Strategic directions for increasing the gross value added of the high-tech sector (on the example of the Ukrainian economy)," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(4), pages 508-523, June.
  • Handle: RePEc:ssi:jouesi:v:8:y:2021:i:4:p:508-523
    DOI: 10.9770/jesi.2021.8.4(30)
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    Citations

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    Cited by:

    1. Alex Borodin & Manuela Tvaronavičienė & Irina Vygodchikova & Galina Panaedova & Andrey Kulikov, 2021. "Optimization of the Structure of the Investment Portfolio of High-Tech Companies Based on the Minimax Criterion," Energies, MDPI, vol. 14(15), pages 1-11, July.

    More about this item

    Keywords

    gross value added; high-tech sector; strategic directions;
    All these keywords.

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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