IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2020-03-57.html
   My bibliography  Save this article

Synergy of Digitalization within the Framework of Increasing Energy Efficiency in Manufacturing Industry

Author

Listed:
  • Marina V. Shinkevich

    (Department of Logistics and Management, Kazan National Research Technological University, Kazan, Russia,)

  • Yulia V. Vertakova

    (Kursk branch of the Financial University under the Government of the Russian Federation, Kursk, Russia,)

  • Farida F. Galimulina

    (Department of Logistics and Management, Kazan National Research Technological University, Kazan, Russia.)

Abstract

The article contains the results of the study of manufacturing industry in terms of energy efficiency, digitalization and ecology. Interdependencies of the listed aspects are established and the synergetic effect of digitization is determined with the help of economic and mathematical modeling. Digital technologies are now being adopted with care by industrial enterprises, which has resulted in a high potential for digitalization that has not been realized so far. In this regard, there are untapped opportunities to improve the energy efficiency of manufacturing operations and to ensure the principles of sustainable development, which determines the relevance of this study. The aim of the study is to determine the synergistic effect of digitalization, taking into account the improvement of energy efficiency and environmental protection of manufacturing. The key research methods were the methods of comparison and description, which made it possible to assess the dynamics of the efficiency of energy consumption in the industry; vertical dynamic analysis, reflecting the change in the structure of energy consumption over time; correlation and regression analysis, which established a mathematical relationship between the analyzed factors and reflects the influence of the selected factors; a forecasting method that determines the change in the values of predictor variables in future periods; optimization method, which allowed to find the optimal values of energy consumption in the manufacturing sector of the economy. As a result of application of these methods, the article reflected the results of an analysis of the dynamics of energy consumption by manufacturing enterprises of the Russian economy; economic and mathematical models are proposed in the form of multiple linear regression equations that describe the dependence of environmental and digital parameters on energy efficiency indicators, allowing varying independent variables in order to achieve specific values of the resulting indicator; a model for optimizing energy consumption and financing energy efficiency was developed with the condition of minimizing polluting emissions by the manufacturing industry and further digitalizing of the industry. The research materials reflected in the article can be taken into account and applied within the framework of forming strategies and programs to ensure energy efficiency in manufacturing industries, their sustainable development and digitalization of production processes and the formation of digital platforms for interaction with external actors.

Suggested Citation

  • Marina V. Shinkevich & Yulia V. Vertakova & Farida F. Galimulina, 2020. "Synergy of Digitalization within the Framework of Increasing Energy Efficiency in Manufacturing Industry," International Journal of Energy Economics and Policy, Econjournals, vol. 10(3), pages 456-464.
  • Handle: RePEc:eco:journ2:2020-03-57
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/9397/5047
    Download Restriction: no

    File URL: https://www.econjournals.com/index.php/ijeep/article/view/9397/5047
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barzegar, Mohammadreza & Rashidinejad, Masoud & Abdollahi, Amir & Afzali, Peyman & Bakhshai, Alireza, 2020. "An efficient reliability index for the assessment of energy efficiency considering sitting of green virtual resources in a microgrid," Energy, Elsevier, vol. 191(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Alexey I. Shinkevich & Tatiana V. Malysheva & Yulia V. Vertakova & Vladimir A. Plotnikov, 2021. "Optimization of Energy Consumption in Chemical Production Based on Descriptive Analytics and Neural Network Modeling," Mathematics, MDPI, vol. 9(4), pages 1-20, February.
    2. Cezar-Petre Simion & Cătălin-Alexandru Verdeș & Alexandra-Andreea Mironescu & Florin-Gabriel Anghel, 2023. "Digitalization in Energy Production, Distribution, and Consumption: A Systematic Literature Review," Energies, MDPI, vol. 16(4), pages 1-30, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexey I. Shinkevich & Yuri Yu. Kostyukhin & Diana Yu. Savon & Andrey E. Safronov & Alexander V. Aleksakhin, 2021. "Optimization of Energy-Efficient Functioning of the Oil and Gas Sector of the Economy through Digitalization and Resource Conservation," International Journal of Energy Economics and Policy, Econjournals, vol. 11(5), pages 321-330.

    More about this item

    Keywords

    energy resources; energy efficiency; manufacturing sector of economy; digitalization; sustainable development; ecology; forecasting; optimization model.;
    All these keywords.

    JEL classification:

    • L23 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Organization of Production
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q52 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Pollution Control Adoption and Costs; Distributional Effects; Employment Effects

    Statistics

    Access and download statistics

    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:eco:journ2:2020-03-57. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Ilhan Ozturk (email available below). General contact details of provider: http://www.econjournals.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.