IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-79496-5_40.html
   My bibliography  Save this book chapter

Development of Smart Production in Regions That Implement the Resource-Based Models of Economic Growth: Financial Limitations and Consequences for Ecological Safety and Climate Change

In: Industry 4.0

Author

Listed:
  • Aleksei V. Bogoviz
  • Svetlana V. Lobova

    (Altai State University)

  • Alexander N. Alekseev

    (Financial University under the Government of the Russian Federation)

Abstract

Purpose: The purpose of this chapter is to study the consequences of development of smart production in regions that implement the resource-based models of economic growth, for ecological safety and climate change and to determine financial limitations on this path by the example of Russia’s regions in the conditions of the COVID-19 pandemic and crisis. Design/methodology/approach: The authors use the method of correlation analysis and T.L. Saaty’s analytic hierarchy process by the example of top 10 regions of Russia by the industrial production index in the conditions of the COVID-19 pandemic and crisis. Findings: It is determined that development of smart production in regions that implement the resource-based models of economic growth is in high demand in the conditions of the COVID-19 pandemic and crisis, because it allows ensuring ecological safety and the fight against climate change. The positive contribution is most vivid in Tyumen Oblast (0.75). Originality/value: It is proved that advantages of smart technologies for ecological safety and climate change in regions with the processing models of economic growth are more vivid than in regions with resource-based models of economic growth. The use of software for R&D is the least significant factor of ecological security and climate change and does not depend on financing, while financial limitations in the conditions of the COVID-19 pandemic and crisis largely predetermine the development of smart production in Russia’s industrial regions.

Suggested Citation

  • Aleksei V. Bogoviz & Svetlana V. Lobova & Alexander N. Alekseev, 2022. "Development of Smart Production in Regions That Implement the Resource-Based Models of Economic Growth: Financial Limitations and Consequences for Ecological Safety and Climate Change," Springer Books, in: Elena B. Zavyalova & Elena G. Popkova (ed.), Industry 4.0, pages 445-452, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-79496-5_40
    DOI: 10.1007/978-3-030-79496-5_40
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-79496-5_40. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.