IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-23511-5_4.html
   My bibliography  Save this book chapter

Best Practices and the Digital Model of Agricultural Development in Developed and Developing Countries

In: Food Security in the Economy of the Future

Author

Listed:
  • Elena V. Sofiina

    (Federal Research Center of Agrarian Economy and Social Development of Rural Areas—All—Russian Research Institute of Agricultural Economics
    Vyatka State Agrotechnological University)

  • Irina V. Milchik

    (Vyatka State Agrotechnological University
    Vyatka State University)

  • Igor V. Denisov

    (Plekhanov Russian University of Economics)

  • Nadezhda K. Savelyeva

    (Vyatka State University)

Abstract

The paper aims to study best practices and identify features of digital models of agricultural development in developed and developing countries. To achieve the research goal, the authors apply regression analysis to determine the impact of digitalization factors on the results achieved in the implementation of SDG 2 in the world’s leading agricultural economies in 2021. The authors compile econometric models and identify prospects for digital agriculture in developed and developing countries. As a result, the peculiarities of digital models of agricultural development among categories of countries were identified. The contribution of this research to the literature lies in the clarification of the differences in the models of digital agricultural development among the categories of countries and the justification of the need to study them separately. The practical significance of the results and conclusions is that the disclosed nature and strength of the influence of digital factors on agriculture can improve the efficiency of managing these factors. This research strengthens the scientific and methodological support for food security and the practical implementation of SDG 2.

Suggested Citation

  • Elena V. Sofiina & Irina V. Milchik & Igor V. Denisov & Nadezhda K. Savelyeva, 2023. "Best Practices and the Digital Model of Agricultural Development in Developed and Developing Countries," Springer Books, in: Elena G. Popkova & Bruno S. Sergi (ed.), Food Security in the Economy of the Future, chapter 0, pages 27-35, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-23511-5_4
    DOI: 10.1007/978-3-031-23511-5_4
    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:978-3-031-23511-5_4. 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.