IDEAS home Printed from https://ideas.repec.org/a/eco/journ2/2021-02-49.html
   My bibliography  Save this article

Does Digitalization Reduce Electricity Consumption? Evidence from Spatial Analysis

Author

Listed:
  • Natalia Larionova

    (Institute of Management, Economics and Finance, Kazan Federal University, Kazan, Russia.)

  • Julia Varlamova

    (Institute of Management, Economics and Finance, Kazan Federal University, Kazan, Russia.)

  • Julia Kolesnikova

    (Institute of Management, Economics and Finance, Kazan Federal University, Kazan, Russia.)

Abstract

This survey addresses the issue of assessing and identifying the role of digital transformation in electrical energy consumption. It is shown that spatial effects in the level of electricity consumption among Russian regions are significant. The work is based on regional data for 2010-2018. Research methods: construction of the Moran and Geary indices, estimation of spatial regression panel models with fixed effects. The Implementation of digital technologies in Russia is at the initial stage, so their impact on energy consumption is ambiguous. The model with a spatial autoregressive lag revealed that the change (increase or decrease) of the electricity consumption level in the one region entails a change of energy consumption in other regions. Since the results indicate the importance of the spatial factor in electricity consumption, the government can implement a differentiated regional policy aimed at improving the efficiency of energy use in certain regions.

Suggested Citation

  • Natalia Larionova & Julia Varlamova & Julia Kolesnikova, 2021. "Does Digitalization Reduce Electricity Consumption? Evidence from Spatial Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 11(2), pages 413-419.
    • Handle: RePEc:eco:journ2:2021-02-49
    as

    Download full text from publisher

    File URL: https://www.econjournals.com/index.php/ijeep/article/download/10500/5751
    Download Restriction: no
    File URL: https://www.econjournals.com/index.php/ijeep/article/view/10500/5751
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Narayan, Seema, 2016. "Predictability within the energy consumption–economic growth nexus: Some evidence from income and regional groups," Economic Modelling, Elsevier, vol. 54(C), pages 515-521.
    2. E. V. Galperova, 2019. "Long-Term Analysis of Energy Consumption by Household," Studies on Russian Economic Development, Springer, vol. 30(2), pages 146-153, March.
    3. Matraeva, Lilia & Solodukha, Petr & Erokhin, Sergey & Babenko, Maria, 2019. "Improvement of Russian energy efficiency strategy within the framework of "green economy" concept (based on the analysis of experience of foreign countries)," Energy Policy, Elsevier, vol. 125(C), pages 478-486.
    4. Ang, James B., 2007. "CO2 emissions, energy consumption, and output in France," Energy Policy, Elsevier, vol. 35(10), pages 4772-4778, October.
    5. Semerikova, Elena & Demidova, Olga, 2016. "Using spatial econometric models for regional unemployment forecasting," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 43, pages 29-51.
    6. An, Hui & Xu, Jianjun & Ma, Xuejiao, 2020. "Does technological progress and industrial structure reduce electricity consumption? Evidence from spatial and heterogeneity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 206-220.
    7. Li, Yi & Sun, Linyan & Feng, Taiwen & Zhu, Chunyan, 2013. "How to reduce energy intensity in China: A regional comparison perspective," Energy Policy, Elsevier, vol. 61(C), pages 513-522.
    8. Zhang, Yue-Jun, 2011. "Interpreting the dynamic nexus between energy consumption and economic growth: Empirical evidence from Russia," Energy Policy, Elsevier, vol. 39(5), pages 2265-2272, May.
    9. Dong, Xiao-Ying & Hao, Yu, 2018. "Would income inequality affect electricity consumption? Evidence from China," Energy, Elsevier, vol. 142(C), pages 215-227.
    10. Rustam Z. Mukhametshin & Nina I. Kryukova & Alexandra V. Beloborodova & Aleksandr V. Grinenko & Olga V. Popova, 2019. "Implementation of Efficient Energy Policy in Russia: Energy Consumption Monitoring and Problem Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 9(4), pages 224-232.
    11. Ozcan, Burcu & Tzeremes, Panayiotis G. & Tzeremes, Nickolaos G., 2020. "Energy consumption, economic growth and environmental degradation in OECD countries," Economic Modelling, Elsevier, vol. 84(C), pages 203-213.
    12. Azam, Muhammad & Khan, Abdul Qayyum & Zafeiriou, Eleni & Arabatzis, Garyfallos, 2016. "Socio-economic determinants of energy consumption: An empirical survey for Greece," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1556-1567.
    13. Lin, Boqiang & Zhu, Junpeng, 2020. "Chinese electricity demand and electricity consumption efficiency: Do the structural changes matter?," Applied Energy, Elsevier, vol. 262(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. 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. Omri, Anis, 2014. "An international literature survey on energy-economic growth nexus: Evidence from country-specific studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 951-959.
    2. Małgorzata Sztorc, 2022. "The Implementation of the European Green Deal Strategy as a Challenge for Energy Management in the Face of the COVID-19 Pandemic," Energies, MDPI, vol. 15(7), pages 1-21, April.
    3. Gholami, M. & Barbaresi, A. & Torreggiani, D. & Tassinari, P., 2020. "Upscaling of spatial energy planning, phases, methods, and techniques: A systematic review through meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    4. Bilgili, Faik & Koçak, Emrah & Bulut, Ümit & Kuşkaya, Sevda, 2017. "Can biomass energy be an efficient policy tool for sustainable development?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 830-845.
    5. Huthaifa Alqaralleh, 2021. "On the nexus of CO2 emissions and renewable and nonrenewable energy consumption in Europe: A new insight from panel smooth transition," Energy & Environment, , vol. 32(3), pages 443-457, May.
    6. González-Álvarez, María A. & Montañés, Antonio, 2023. "CO2 emissions, energy consumption, and economic growth: Determining the stability of the 3E relationship," Economic Modelling, Elsevier, vol. 121(C).
    7. Shiwen Liu & Hongyuan Li, 2020. "Does Financial Development Increase Urban Electricity Consumption? Evidence from Spatial and Heterogeneity Analysis," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    8. Khan, Zeeshan & Malik, Muhammad Yousaf & Latif, Kashmala & Jiao, Zhilun, 2020. "Heterogeneous effect of eco-innovation and human capital on renewable & non-renewable energy consumption: Disaggregate analysis for G-7 countries," Energy, Elsevier, vol. 209(C).
    9. Amjad Ali & Marc Audi & Ismail Senturk & Yannick Roussel, 2022. "Do Sectoral Growth Promote CO2 Emissions in Pakistan? Time Series Analysis in Presence of Structural Break," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 410-425, March.
    10. Tiba, Sofien & Omri, Anis, 2017. "Literature survey on the relationships between energy, environment and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1129-1146.
    11. Alexander N. Alekseev & Aleksei V. Bogoviz & Ludmila P. Goncharenko & Sergey A. Sybachin, 2019. "A Critical Review of Russia s Energy Strategy in the Period until 2035," International Journal of Energy Economics and Policy, Econjournals, vol. 9(6), pages 95-102.
    12. Sofien, Tiba & Omri, Anis, 2016. "Literature survey on the relationships between energy variables, environment and economic growth," MPRA Paper 82555, University Library of Munich, Germany, revised 14 Sep 2016.
    13. Dong, Kangyin & Dou, Yue & Jiang, Qingzhe, 2022. "Income inequality, energy poverty, and energy efficiency: Who cause who and how?," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    14. Acheampong, Alex O., 2018. "Economic growth, CO2 emissions and energy consumption: What causes what and where?," Energy Economics, Elsevier, vol. 74(C), pages 677-692.
    15. Zhang, LiXia & Baloch, Zulfiqar Ali & Niu, Guangli, 2023. "Effects of COVID-19 on green bonds, renewable power stocks, and carbon markets: A dynamic spillover analysis," Renewable Energy, Elsevier, vol. 216(C).
    16. Ben Youssef, Adel & Hammoudeh, Shawkat & Omri, Anis, 2016. "Simultaneity modeling analysis of the environmental Kuznets curve hypothesis," Energy Economics, Elsevier, vol. 60(C), pages 266-274.
    17. Sharma, Rajesh & Shahbaz, Muhammad & Kautish, Pradeep & Vo, Xuan Vinh, 2021. "Analyzing the impact of export diversification and technological innovation on renewable energy consumption: Evidences from BRICS nations," Renewable Energy, Elsevier, vol. 178(C), pages 1034-1045.
    18. Bianco, Vincenzo & Cascetta, Furio & Marino, Alfonso & Nardini, Sergio, 2019. "Understanding energy consumption and carbon emissions in Europe: A focus on inequality issues," Energy, Elsevier, vol. 170(C), pages 120-130.
    19. Simona Andreea Apostu & Iza Gigauri & Mirela Panait & Pedro A. Martín-Cervantes, 2023. "Is Europe on the Way to Sustainable Development? Compatibility of Green Environment, Economic Growth, and Circular Economy Issues," IJERPH, MDPI, vol. 20(2), pages 1-17, January.
    20. Liu, Zhao & Zhang, Huan & Zhang, Yue-Jun & Zhu, Tian-Tian, 2020. "How does industrial policy affect the eco-efficiency of industrial sector? Evidence from China," Applied Energy, Elsevier, vol. 272(C).

    More about this item

    Keywords

    Spatial panel data models; electricity consumption; digital transformation; energy saving; Russian regions;
    All these keywords.

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • R1 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics

    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:journ2:2021-02-49. 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.