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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
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    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," The Journal of Financial Econometrics, Society for Financial Econometrics, 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, June.
    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.
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    Cited by:

    1. 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.
    2. Liudmila S. Kabir & Ivan D. Rakov, 2023. "Russian Companies’ Motivations for Making Green Investments," JRFM, MDPI, vol. 16(3), pages 1-19, February.
    3. 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.

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    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

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