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Negative elements of cryptocurrencies: Exploring the drivers of Bitcoin carbon footprints

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  • Long, Suwan(Cheng)
  • Lucey, Brian
  • Zhang, Dayong
  • Zhang, Zhiwei

Abstract

This paper adopts an interactive network approach to investigate the factors driving the carbon footprint of Bitcoin, a negative aspect of cryptocurrencies. Our findings demonstrate that the dynamics of Bitcoin prices, including both returns and volatility, have a significant impact on the system comprising carbon emissions, energy prices, carbon prices, and financial indicators. During the first two years of the COVID-19 pandemic period, the spillover effects are observed to be particularly strong. Furthermore, we find that the dynamics of Bitcoin prices play a crucial role in driving its associated carbon emissions.

Suggested Citation

  • Long, Suwan(Cheng) & Lucey, Brian & Zhang, Dayong & Zhang, Zhiwei, 2023. "Negative elements of cryptocurrencies: Exploring the drivers of Bitcoin carbon footprints," Finance Research Letters, Elsevier, vol. 58(PA).
    • Handle: RePEc:eee:finlet:v:58:y:2023:i:pa:s1544612323004038
    DOI: 10.1016/j.frl.2023.104031
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Zhang, Dayong & Hu, Min & Ji, Qiang, 2020. "Financial markets under the global pandemic of COVID-19," Finance Research Letters, Elsevier, vol. 36(C).
    3. Corbet, Shaen & Meegan, Andrew & Larkin, Charles & Lucey, Brian & Yarovaya, Larisa, 2018. "Exploring the dynamic relationships between cryptocurrencies and other financial assets," Economics Letters, Elsevier, vol. 165(C), pages 28-34.
    4. Griffith, Todd & Clancey-Shang, Danjue, 2023. "Cryptocurrency regulation and market quality," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    5. Zhang, Dongna & Chen, Xihui Haviour & Lau, Chi Keung Marco & Xu, Bing, 2023. "Implications of cryptocurrency energy usage on climate change," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    6. Spyros Foteinis, 2018. "Bitcoin’s alarming carbon footprint," Nature, Nature, vol. 554(7691), pages 169-169, February.
    7. Camilo Mora & Randi L. Rollins & Katie Taladay & Michael B. Kantar & Mason K. Chock & Mio Shimada & Erik C. Franklin, 2018. "Bitcoin emissions alone could push global warming above 2°C," Nature Climate Change, Nature, vol. 8(11), pages 931-933, November.
    8. Qiang Ji, Ronald D. Ripple, Dayong Zhang, and Yuqian Zhao, 2022. "Cryptocurrency Bubble on the Systemic Risk in Global Energy Companies," The Energy Journal, International Association for Energy Economics, vol. 0(Special i).
    9. Corbet, Shaen & Lucey, Brian & Yarovaya, Larisa, 2021. "Bitcoin-energy markets interrelationships - New evidence," Resources Policy, Elsevier, vol. 70(C).
    10. Baur, Dirk G. & Oll, Josua, 2022. "Bitcoin investments and climate change: A financial and carbon intensity perspective," Finance Research Letters, Elsevier, vol. 47(PA).
    11. Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
    12. Wang, TianTian & Zhang, Dayong & Clive Broadstock, David, 2019. "Financialization, fundamentals, and the time-varying determinants of US natural gas prices," Energy Economics, Elsevier, vol. 80(C), pages 707-719.
    13. Gschossmann, Isabella & van der Kraaij, Anton & Benoit, Pierre-Loïc & Rocher., Emmanuel, 2022. "Mining the environment – is climate risk priced into crypto-assets?," Macroprudential Bulletin, European Central Bank, vol. 18.
    14. Ji, Qiang & Zhang, Dayong & Zhao, Yuqian, 2020. "Searching for safe-haven assets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 71(C).
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    Cited by:

    1. Zribi, Wissal & Boufateh, Talel & Guesmi, Khaled, 2023. "Climate uncertainty effects on bitcoin ecological footprint through cryptocurrency environmental attention," Finance Research Letters, Elsevier, vol. 58(PD).

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    More about this item

    Keywords

    Bitcoin; Carbon footprint; COVID-19; Cryptocurrency; Emissions;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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