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Exploring the role of interregional technological cooperation in macro-regional spatial and innovation development

Author

Listed:
  • Natalya O. Chistyakova

    (National Research Tomsk Polytechnic University, Tomsk, Russia)

  • Alexander A. Mikhalchuk

    (National Research Tomsk Polytechnic University, Tomsk, Russia)

  • Ekaterina A. Akerman

    (National Research Tomsk State University, Tomsk, Russia)

  • Yulia S. Bocharova

    (National Research Tomsk Polytechnic University, Tomsk, Russia)

Abstract

Relevance. The paper explores interregional cooperation, examining the challenges of aligning spatial and innovation development in macro-regions, with a focus on two federal districts of Russia. The study assesses the potential of interregional cooperation among neighboring regions within a single federal district, as well as among more distant regions across different federal districts. Data and Methods. The study employs the DEA method to identify central and peripheral regions (imitator regions) by calculating technical efficiency indicators. It also uses coupling interregional complementarity indexes to assess the potential for interregional cooperation in innovation and technological import substitution, considering the industrial profiles of the regions. Spatial autocorrelation is evaluated by using Moran's Index to estimate the level of regional interdependence, factoring in the level and industry conformity of innovation output. The novelty of the proposed methodological approach lies in the application of interregional indexes of innovation complementarity as weighting coefficients in Moran's Index calculation. Results. The study reveals a rise in spatial inequality, competition among regions, and constrained interregional innovation cooperation across federal districts. Geographical proximity currently plays a pivotal role in cooperation, with initial indications of a macro-regional space evolving through knowledge exchange. However, both hypotheses concerning imitation strategies and autocorrelation are only confirmed for regions within a single federal district. Conclusion. The findings of this study regarding spatial autocorrelation offer valuable insights for policymakers in the sphere of regional innovation.

Suggested Citation

  • Natalya O. Chistyakova & Alexander A. Mikhalchuk & Ekaterina A. Akerman & Yulia S. Bocharova, 2024. "Exploring the role of interregional technological cooperation in macro-regional spatial and innovation development," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 10(2), pages 205-226.
    • Handle: RePEc:aiy:journl:v:10:y:2024:i:2:p:205-226
    DOI: https://doi.org/10.15826/recon.2024.10.2.013
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    Keywords

    spatial and innovation development; interregional cooperation; DEA-method; Moran`s Index; innovation complementarity index;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R59 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Other
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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