IDEAS home Printed from https://ideas.repec.org/a/fru/finjrn/220308p116-130.html
   My bibliography  Save this article

Sustainable Cryptocurrency Growth Impossible? Impact of Network Power Demand on Bitcoin Price

Author

Listed:
  • Pavel Baboshkin

    (Financial University under the Government of the Russian Federation, Moscow 125993, Russian Federation)

  • Alexey Mikhaylov

    (Financial Research Institute, Moscow 127006, Russian Federation)

  • Zaffar Ahmed Shaikh

    (Benazir Bhutto Shaheed University Lyari, Faculty of Computing Science and Information Technology, Karachi 75660, Pakistan)

Abstract

Due to the youth of the cryptocurrency sphere, the logic of interaction between investors, users and protocols is not always precisely defined. Analysis of the impact of ESG on cryptocurrencies proves that the demand for bitcoin network capacity (occupies the main market share) is the main factor in predicting the price of this cryptocurrency and the cryptocurrency market as a whole. The choice of the statistical method of analysis is determined by the purpose of statistically justified determination of the relationship of the data under consideration, and the reliability of the analysis is checked using Fischer and Student tests. In this paper, several innovations are proposed to solve the problem of energy dependence of cryptocurrencies: firstly, the analysis of cryptocurrencies in the paradigm of sustainable development (taking into account the consumption of a huge amount of energy for the functioning of cryptocurrency systems); secondly, feedback logic to explain the interaction of subjects, including the following parties: users, developers, network infrastructure and their interaction; thirdly, statistical analysis with the creation of artificial variables from real data and iterative improvement of the model. This paper proves that sustainable cryptocurrency growth is impossible when viewed from the perspective of “Green Economics” by Molly Scott Cato. The author's approach is relevant compared to other methods of linear transformations for creating artificial variables by selecting data using the VIF test. As a result, several versions of models were obtained using various combinations of the initially proposed factors, on the basis of which the nature of the greatest influence on the price of bitcoin was established in the form of technical factors and energy infrastructure needs.

Suggested Citation

  • Pavel Baboshkin & Alexey Mikhaylov & Zaffar Ahmed Shaikh, 2022. "Sustainable Cryptocurrency Growth Impossible? Impact of Network Power Demand on Bitcoin Price," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 3, pages 116-130, June.
    • Handle: RePEc:fru:finjrn:220308:p:116-130
    DOI: 10.31107/2075-1990-2022-3-116-130
    as

    Download full text from publisher

    File URL: https://www.finjournal-nifi.ru/images/FILES/Journal/Archive/2022/3/statii/08_3_2022_v14.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.31107/2075-1990-2022-3-116-130?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bouri, Elie & Gupta, Rangan & Roubaud, David, 2019. "Herding behaviour in cryptocurrencies," Finance Research Letters, Elsevier, vol. 29(C), pages 216-221.
    2. Vasco Carvalho & Xavier Gabaix, 2013. "The Great Diversification and Its Undoing," American Economic Review, American Economic Association, vol. 103(5), pages 1697-1727, August.
    3. Christian M Hafner, 2020. "Testing for Bubbles in Cryptocurrencies with Time-Varying Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 18(2), pages 233-249.
    4. An, Jaehyung & Mikhaylov, Alexey & Jung, Sang-Uk, 2021. "A Linear Programming approach for robust network revenue management in the airline industry," Journal of Air Transport Management, Elsevier, vol. 91(C).
    5. Andrés Fernández & Michael W Klein & Alessandro Rebucci & Martin Schindler & Martín Uribe, 2016. "Capital Control Measures: A New Dataset," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 548-574, August.
    6. Tiniç, Murat & Tanyeri, Başak & Bodur, Mehmet, 2021. "Who to trust? Reactions to analyst recommendations of domestic versus foreign brokerage houses in a developing stock market," Finance Research Letters, Elsevier, vol. 43(C).
    7. Bouri, Elie & Gupta, Rangan & Tiwari, Aviral Kumar & Roubaud, David, 2017. "Does Bitcoin hedge global uncertainty? Evidence from wavelet-based quantile-in-quantile regressions," Finance Research Letters, Elsevier, vol. 23(C), pages 87-95.
    8. Kaiser, Lars & Stöckl, Sebastian, 2020. "Cryptocurrencies: Herding and the transfer currency," Finance Research Letters, Elsevier, vol. 33(C).
    9. Acemoglu, Daron & Johnson, Simon & Kermani, Amir & Kwak, James & Mitton, Todd, 2016. "The value of connections in turbulent times: Evidence from the United States," Journal of Financial Economics, Elsevier, vol. 121(2), pages 368-391.
    10. Chang, Yu-Ting & Yu, Hueiju & Lu, Hsi-Peng, 2015. "Persuasive messages, popularity cohesion, and message diffusion in social media marketing," Journal of Business Research, Elsevier, vol. 68(4), pages 777-782.
    11. Mr. Atish R. Ghosh & Mahvash S Qureshi & Naotaka Sugawara, 2014. "Regulating Capital Flows at Both Ends: Does it Work?," IMF Working Papers 2014/188, International Monetary Fund.
    12. Pavel Ciaian & Miroslava Rajcaniova & d’Artis Kancs, 2016. "The digital agenda of virtual currencies: Can BitCoin become a global currency?," Information Systems and e-Business Management, Springer, vol. 14(4), pages 883-919, November.
    13. Sara Mehrab Daniali & Sergey Evgenievich Barykin & Irina Vasilievna Kapustina & Farzin Mohammadbeigi Khortabi & Sergey Mikhailovich Sergeev & Olga Vladimirovna Kalinina & Alexey Mikhaylov & Roman Veyn, 2021. "Predicting Volatility Index According to Technical Index and Economic Indicators on the Basis of Deep Learning Algorithm," Sustainability, MDPI, vol. 13(24), pages 1-14, December.
    14. Cao, Guangxi & Ling, Meijun, 2022. "Asymmetry and conduction direction of the interdependent structure between cryptocurrency and US dollar, renminbi, and gold markets," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
    15. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.
    16. Andrés Fernández & Michael W Klein & Alessandro Rebucci & Martin Schindler & Martín Uribe, 2016. "Capital Control Measures: A New Dataset," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 64(3), pages 548-574, August.
    17. Nafis Alam & Lokesh Gupta & Abdolhossein Zameni, 2019. "Fintech and Islamic Finance," Springer Books, Springer, number 978-3-030-24666-2, July.
    18. Adrian (Wai-Kong) Cheung & Eduardo Roca & Jen-Je Su, 2015. "Crypto-currency bubbles: an application of the Phillips-Shi-Yu (2013) methodology on Mt. Gox bitcoin prices," Applied Economics, Taylor & Francis Journals, vol. 47(23), pages 2348-2358, May.
    19. Elena I. Kranina, 2021. "China on the Way to Achieving Carbon Neutrality," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 5, pages 51-61, October.
    20. Çinla Akdere & Pelin Benli, 2018. "The Nature of Financial Innovation: A Post-Schumpeterian Analysis," Journal of Economic Issues, Taylor & Francis Journals, vol. 52(3), pages 717-748, July.
    21. Bedendo, Mascia & Hodges, Stewart D., 2009. "The dynamics of the volatility skew: A Kalman filter approach," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1156-1165, June.
    22. Daria Podmetina & Irina Savitskaya & Juha Väätänen, 2012. "Open innovation in Russia: productivity and industry effect," International Journal of Transitions and Innovation Systems, Inderscience Enterprises Ltd, vol. 2(2), pages 151-168.
    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. Kirill D. Shilov & Andrei V. Zubarev, 2023. "Factors of Ethereum Profitability as a Platform for Creating Decentrilized Applications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 95-115, February.
    2. Gousia Habib & Sparsh Sharma & Sara Ibrahim & Imtiaz Ahmad & Shaima Qureshi & Malik Ishfaq, 2022. "Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing," Future Internet, MDPI, vol. 14(11), pages 1-22, November.
    3. Liudmila S. Kabir & Ivan D. Rakov, 2023. "Russian Companies’ Motivations for Making Green Investments," JRFM, MDPI, vol. 16(3), pages 1-19, 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. Nikita Moiseev & Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    2. Alexey Mikhaylov & Hasan Dinçer & Serhat Yüksel, 2023. "Analysis of financial development and open innovation oriented fintech potential for emerging economies using an integrated decision-making approach of MF-X-DMA and golden cut bipolar q-ROFSs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    3. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    4. Nataliia Osina, 2021. "Global liquidity and capital flow regulations," Journal of Banking Regulation, Palgrave Macmillan, vol. 22(1), pages 52-72, March.
    5. Nataliia Osina, 0. "Global liquidity and capital flow regulations," Journal of Banking Regulation, Palgrave Macmillan, vol. 0, pages 1-21.
    6. Ji, Qiang & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2018. "Network causality structures among Bitcoin and other financial assets: A directed acyclic graph approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 203-213.
    7. Andrada-Félix, Julián & Fernandez-Perez, Adrian & Sosvilla-Rivero, Simón, 2020. "Distant or close cousins: Connectedness between cryptocurrencies and traditional currencies volatilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 67(C).
    8. Ghosh, Atish R. & Ostry, Jonathan D. & Qureshi, Mahvash S., 2018. "Taming the Tide of Capital Flows: A Policy Guide," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262037165, April.
    9. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
    10. Bellón, Carlos & Figuerola-Ferretti, Isabel, 2022. "Bubbles in Ethereum," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Rubbaniy, Ghulame & Tee, Kienpin & Iren, Perihan & Abdennadher, Sonia, 2022. "Investors’ mood and herd investing: A quantile-on-quantile regression explanation from crypto market," Finance Research Letters, Elsevier, vol. 47(PA).
    12. Kyriazis, Nikolaos & Papadamou, Stephanos & Corbet, Shaen, 2020. "A systematic review of the bubble dynamics of cryptocurrency prices," Research in International Business and Finance, Elsevier, vol. 54(C).
    13. Richard J. Nugent, 2019. "Restrictions on Short-Term Capital Inflows and the Response of Direct Investment," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 45(3), pages 350-383, June.
    14. Youssef, Mouna & Waked, Sami Sobhi, 2022. "Herding behavior in the cryptocurrency market during COVID-19 pandemic: The role of media coverage," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    15. Zhao, Yuan & Liu, Nan & Li, Wanpeng, 2022. "Industry herding in crypto assets," International Review of Financial Analysis, Elsevier, vol. 84(C).
    16. Broos, Menno & Ghalanos, Michalis & Kennedy, Bernard & Landbeck, Alexander & Lerner, Christina & Menezes, Paula & Schiavone, Alessandro & Tilley, Thomas & Viani, Francesca & Reinhardt, Dennis & Metzem, 2016. "Dealing with large and volatile capital flows and the role of the IMF," Occasional Paper Series 180, European Central Bank.
    17. Demiralay, Sercan & Golitsis, Petros, 2021. "On the dynamic equicorrelations in cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 524-533.
    18. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    19. Forbes, Kristin & Fratzscher, Marcel & Kostka, Thomas & Straub, Roland, 2016. "Bubble thy neighbour: Portfolio effects and externalities from capital controls," Journal of International Economics, Elsevier, vol. 99(C), pages 85-104.
    20. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.

    More about this item

    Keywords

    cryptocurrency; investor behavior; bitcoin; data privacy; ESG factors; concept of green economy;
    All these keywords.

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:fru:finjrn:220308:p:116-130. 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: Gennady Ageev (email available below). General contact details of provider: https://edirc.repec.org/data/frigvru.html .

    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.