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Cooperation in R&D as a Leading Indicator of Innovative Activity Growth

Author

Listed:
  • M. Arkhipova
  • V. Sirotin
  • V. Afonina

Abstract

Purpose: The article is focused on new trends in cooperation activity in research and development in the manufacturing industries of Russia. Various types of cooperation are considered, special attention is paid to research organizations and universities. Design/Methodology/Approach: In the context of this issue, it seems necessary to consider the conceptual framework and information basis for the analysis of scientific activity, to study the problems of scientific and technical cooperation, based on the works of foreign and domestic scientists and to develop indicators of cooperative activities. Finding: Authors proposed to rank the regions of Russia by the level of cooperation activity based on a specially developed hidden indicator. Comparison of the results obtained with regional layers of the costs of R&D suggests that joint research and development activities are typical for those regions that pay considerable attention to development of science. Ranking regions of Russia in terms of cooperative activity allowed identifying the leaders and outsiders of this process. Practical implications: The results of the study can be used in the development of measures of regional development of the country in the implementation of R&D. Originality/Value: To study the impact of the resource base on the cooperative activities of the organization, the authors proposed a composite indicator that includes a wide range of indicators that consider various aspects of cooperative activity.

Suggested Citation

  • M. Arkhipova & V. Sirotin & V. Afonina, 2019. "Cooperation in R&D as a Leading Indicator of Innovative Activity Growth," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(Special 2), pages 242-257.
    • Handle: RePEc:ers:ijebaa:v:vii:y:2019:i:special2:p:242-257
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    Cited by:

    1. Dejan Ravšelj & Aleksander Aristovnik, 2020. "The Impact of Public R&D Subsidies and Tax Incentives on Business R&D Expenditures," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 160-179.

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    More about this item

    Keywords

    Latent indicator; principal component analysis; propensity to cooperation; processing industries; mixture of probability distributions; parametric classification.;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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