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On the pricing effects of bitcoin mining in the fossil fuel market: The case of coal

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  • Sibande, Xolani
  • Demirer, Riza
  • Balcilar, Mehmet
  • Gupta, Rangan

Abstract

This study provides novel insight to the role of cryptocurrency mining activities on fossil fuel price dynamics with a particular focus on the coal market. Despite the global climate agenda, coal remains a key energy source for economic growth as it is the dominant fuel for power generation globally. At the same time, the unprecedented growth in the trading and mining of cryptocurrencies has put extra pressure on this market as the mining process consumes vast amounts of energy fuelled predominantly by coal. Hypothesizing that there is a causal link in the direction of coal prices from Bitcoin mining activities due to its effect on electricity consumption, we utilize static and time-varying Granger causality tests to explore the causal linkages between Bitcoin electricity consumption and coal prices as the issue has significant implications for economic development. The results reveal a time-varying causal link from the coal price to Bitcoin mining electricity consumption, suggesting that the coal price is in fact a constraint on mining activities. At the same time, as hypothesized, the evidence in the opposite direction is found to be even stronger, suggesting that electricity consumption from Bitcoin mining activities impacts the coal price. This interplay suggests that electricity consumption from Bitcoin mining activities may be larger than current estimates, highlighting the importance of policy mechanisms to mitigate the possible negative effects on the economy.

Suggested Citation

  • Sibande, Xolani & Demirer, Riza & Balcilar, Mehmet & Gupta, Rangan, 2023. "On the pricing effects of bitcoin mining in the fossil fuel market: The case of coal," Resources Policy, Elsevier, vol. 85(PB).
    • Handle: RePEc:eee:jrpoli:v:85:y:2023:i:pb:s0301420723002507
    DOI: 10.1016/j.resourpol.2023.103539
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    as
    1. Timothy Cogley & Thomas J. Sargent, 2005. "Drift and Volatilities: Monetary Policies and Outcomes in the Post WWII U.S," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 8(2), pages 262-302, April.
    2. Swanson, Norman R., 1998. "Money and output viewed through a rolling window," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 455-474, May.
    3. Wang, Qiang & Li, Rongrong, 2016. "Journey to burning half of global coal: Trajectory and drivers of China׳s coal use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 341-346.
    4. Joëts, Marc & Mignon, Valérie, 2012. "On the link between forward energy prices: A nonlinear panel cointegration approach," Energy Economics, Elsevier, vol. 34(4), pages 1170-1175.
    5. John Coglianese, Todd D. Gerarden, and James H. Stock, 2020. "The Effects of Fuel Prices, Environmental Regulations, and Other Factors on U.S. Coal Production, 2008-2016," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    6. Rossi, Barbara, 2005. "Optimal Tests For Nested Model Selection With Underlying Parameter Instability," Econometric Theory, Cambridge University Press, vol. 21(5), pages 962-990, October.
    7. Karmakar, Sayar & Demirer, Riza & Gupta, Rangan, 2021. "Bitcoin mining activity and volatility dynamics in the power market," Economics Letters, Elsevier, vol. 209(C).
    8. Michel Rauchs & Garrick Hileman, 2017. "Global Cryptocurrency Benchmarking Study," Cambridge Centre for Alternative Finance Reports 201704-gcbs, Cambridge Centre for Alternative Finance, Cambridge Judge Business School, University of Cambridge.
    9. Lin, Boqiang & Li, Jianglong, 2015. "Analyzing cost of grid-connection of renewable energy development in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1373-1382.
    10. Chun Jiang & Yi-Fan Wu & Xiao-Lin Li & Xin Li, 2020. "Time-frequency Connectedness between Coal Market Prices, New Energy Stock Prices and CO 2 Emissions Trading Prices in China," Sustainability, MDPI, vol. 12(7), pages 1-17, April.
    11. Hao, Yu & Zhang, Zong-Yong & Liao, Hua & Wei, Yi-Ming, 2015. "China’s farewell to coal: A forecast of coal consumption through 2020," Energy Policy, Elsevier, vol. 86(C), pages 444-455.
    12. Chen, Zhan-Ming, 2014. "Inflationary effect of coal price change on the Chinese economy," Applied Energy, Elsevier, vol. 114(C), pages 301-309.
    13. Shuping Shi & Peter C. B. Phillips & Stan Hurn, 2018. "Change Detection and the Causal Impact of the Yield Curve," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 966-987, November.
    14. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: evidences from China’s coal market," LSE Research Online Documents on Economics 102540, London School of Economics and Political Science, LSE Library.
    15. Shuping Shi & Stan Hurn & Peter C B Phillips, 2020. "Causal Change Detection in Possibly Integrated Systems: Revisiting the Money–Income Relationship [Energy Consumption and Economic Growth in the United States]," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 18(1), pages 158-180.
    16. Barbara Rossi & Yiru Wang, 2019. "Vector autoregressive-based Granger causality test in the presence of instabilities," Stata Journal, StataCorp LP, vol. 19(4), pages 883-899, December.
    17. Chia-Lin Chang & Michael McAleer & Guangdong Zuo, 2017. "Volatility Spillovers and Causality of Carbon Emissions, Oil and Coal Spot and Futures for the EU and USA," Sustainability, MDPI, vol. 9(10), pages 1-22, October.
    18. Xiaopeng Guo & Yanan Wei & Jiahai Yuan, 2016. "Will the Steam Coal Price Rebound under the New Economy Normalcy in China?," Energies, MDPI, vol. 9(9), pages 1-13, September.
    19. Lu, Feng-bin & Hong, Yong-miao & Wang, Shou-yang & Lai, Kin-keung & Liu, John, 2014. "Time-varying Granger causality tests for applications in global crude oil markets," Energy Economics, Elsevier, vol. 42(C), pages 289-298.
    20. Narjes Zamani, 2016. "The Relationship between Crude Oil and Coal Markets: A New Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 6(4), pages 801-805.
    21. Oberndorfer, Ulrich, 2009. "Energy prices, volatility, and the stock market: Evidence from the Eurozone," Energy Policy, Elsevier, vol. 37(12), pages 5787-5795, December.
    22. Liu, Ming-Hua & Margaritis, Dimitris & Zhang, Yang, 2013. "Market-driven coal prices and state-administered electricity prices in China," Energy Economics, Elsevier, vol. 40(C), pages 167-175.
    23. Granger, C. W. J., 1980. "Testing for causality : A personal viewpoint," Journal of Economic Dynamics and Control, Elsevier, vol. 2(1), pages 329-352, May.
    24. Guo, Jin & Zheng, Xinye & Chen, Zhan-Ming, 2016. "How does coal price drive up inflation? Reexamining the relationship between coal price and general price level in China," Energy Economics, Elsevier, vol. 57(C), pages 265-276.
    25. Li, Jianglong & Xie, Chunping & Long, Houyin, 2019. "The roles of inter-fuel substitution and inter-market contagion in driving energy prices: Evidences from China’s coal market," Energy Economics, Elsevier, vol. 84(C).
    26. Khan, Khalid & Su, Chi-Wei & Rehman, Ashfaq U., 2021. "Do multiple bubbles exist in coal price?," Resources Policy, Elsevier, vol. 73(C).
    27. Li, Dongxin & Hong, Yanran & Wang, Lu & Xu, Pengfei & Pan, Zhigang, 2022. "Extreme risk transmission among bitcoin and crude oil markets," Resources Policy, Elsevier, vol. 77(C).
    28. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    29. Hong, Yongmiao, 2001. "A test for volatility spillover with application to exchange rates," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 183-224, July.
    30. Johannes Sedlmeir & Hans Ulrich Buhl & Gilbert Fridgen & Robert Keller, 2020. "The Energy Consumption of Blockchain Technology: Beyond Myth," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(6), pages 599-608, December.
    31. Vipin Arora & Shuping Shi, 2016. "Energy consumption and economic growth in the United States," Applied Economics, Taylor & Francis Journals, vol. 48(39), pages 3763-3773, August.
    32. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
    33. Thoma, Mark A., 1994. "Subsample instability and asymmetries in money-income causality," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 279-306.
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    More about this item

    Keywords

    Time-varying granger causality; Crypo-currency market; Commodity markets;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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