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Modeling Response to Innovations in Industrialized Regions: The Russian Experience

Author

Listed:
  • Victoria V. Akberdina

    (Department of Regional Industrial Policy and Economic Security, Institute of Economics of the Ural Branch of the Russian Academy of Sciences; chair Theory of Management and Innovation , Ural Federal University, Ekaterinburg, Russian Federation)

  • Anatoly V. Grebenkin

    (Department of Regional Industrial Policy and Economic Security, Institute of Economics of the Ural Branch of the Russian Academy of Sciences; chair Theory of Management and Innovation , Ural Federal University, Ekaterinburg, Russian Federation)

  • Oleg M. Barbakov

    (Chair Business Informatics and Mathematics , Tyumen State Oil and Gas University, Tyumen, Russian Federation.)

Abstract

The objective of the paper is to provide a rationale for mathematical models that describe a response to innovations (response to innovations) across industrialized regions of Russia. The paper gives an advanced analysis of trends in a development of industrialized regions. Based on the mentioned analysis, the authors have put forward and tested a number of hypotheses. There are the hypothesis for an unbalanced economic development in industrialized regions of various types, the hypothesis for development distinction, inherent to industrialized regions of certain types, the hypothesis for a catalytic role of the government in the innovation dynamics and the hypothesis for the available response to innovations in the economic system. The authors have proposed a methodology for the response to innovations, proved conditions, under which the response appears in the economic system, grounded types of the response to innovations. The authors have also presented mathematical formalization for mechanism for the response to innovations in the regional production system. In an action-oriented section of this paper, the authors have explored the response to innovations in industrialized regions of Russia. The findings given in the paper can be used to justify mechanisms of the regional industrial policy, as well as evaluate a regulatory impact of valid regulatory legal acts.

Suggested Citation

  • Victoria V. Akberdina & Anatoly V. Grebenkin & Oleg M. Barbakov, 2015. "Modeling Response to Innovations in Industrialized Regions: The Russian Experience," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 5(4), pages 910-921.
    • Handle: RePEc:eco:journ1:2015-04-10
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    References listed on IDEAS

    as
    1. Olga Romanova & Viktoria Akberdina, 2013. "Methodology and practice of development of hi-tech sector of economy and creation new vacancies in the industrial region," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 152-161.
    2. Viktoria Akberdina & Anatoliy Grebenkin, 2009. "Opportunities of economic development of the Sverdlovsk area in the light of technological multistructure," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 47-53.
    3. Aleksandr Tatarkin & Svetlana Doroshenko, 2011. "Region as a self-developing socio-economic system: crossing the crisis," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(1), pages 15-23.
    4. Tregenna, Fiona, 2011. "Manufacturing Productivity, Deindustrialization, and Reindustrialization," WIDER Working Paper Series 057, World Institute for Development Economic Research (UNU-WIDER).
    5. Karl Aiginger, 2007. "Industrial Policy: A Dying Breed or A Re-emerging Phoenix," Journal of Industry, Competition and Trade, Springer, vol. 7(3), pages 297-323, December.
    6. Viktoria Akberdina & Anatoliy Grebenkin, 2009. "Opportunities of economic development of the Sverdlovsk area in the light of technological multistructure," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(3), pages 39-46.
    7. Fiona Tregenna, 2011. "Manufacturing Productivity, Deindustrialization, and Reindustrialization," WIDER Working Paper Series wp-2011-057, World Institute for Development Economic Research (UNU-WIDER).
    8. O.A. Romanova (econ@uran.ru ) & A.V. Grebenkin(avgrebenkin48@yandex.ru ) & V.V. Akberdina (akb_vic@mail.ru ), 2011. "Impact of innovation dynamics on regional development of an economic system," Journal "Region: Economics and Sociology", Institute of Economics and Industrial Engineering of Siberian Branch of RAS, vol. 1.
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    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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