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Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique

Author

Listed:
  • Qin, Meng
  • Wu, Tong
  • Ma, Xuecheng
  • Albu, Lucian Liviu
  • Umar, Muhammad

Abstract

Probing the role of Bitcoin in energy consumption and carbon emission is crucial to the U.S. to make carbon neutrality come true by 2050. This analysis innovatively uses the time-varying parameter-stochastic volatility-vector auto-regression system to identify the dynamic interrelation among Bitcoin price, carbon emission and energy consumption. The outcomes underline that Bitcoin price exerts positive influences on carbon emission and energy consumption most of the time, indicating that high Bitcoin price might increase energy demand to mine Bitcoin, and this process also emits carbon dioxide. However, the negative effects, mainly during periods with an immature Bitcoin market and the past two years, suggest that seasonal factors, economic situation and extreme climate also influence energy consumption and carbon emission. Additionally, there is an intermediate effect of Bitcoin price on carbon emission through energy consumption. Then, we conclude that energy consumption and carbon emissions in the U.S. are caused by Bitcoin most of the time but only sometimes. Under the energy and climate crises, these conclusions offer meaningful implications for the U.S. to realise carbon neutrality by dealing with massive energy consumption and carbon emission from the Bitcoin market.

Suggested Citation

  • Qin, Meng & Wu, Tong & Ma, Xuecheng & Albu, Lucian Liviu & Umar, Muhammad, 2023. "Are energy consumption and carbon emission caused by Bitcoin? A novel time-varying technique," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 109-120.
    • Handle: RePEc:eee:ecanpo:v:80:y:2023:i:c:p:109-120
    DOI: 10.1016/j.eap.2023.08.004
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    Cited by:

    1. Feng, Meihong & Zou, Donghang & Hafeez, Muhammad, 2024. "Mineral resource volatility and green growth: the role of technological development, environmental policy stringency, and trade openness," LSE Research Online Documents on Economics 121592, London School of Economics and Political Science, LSE Library.

    More about this item

    Keywords

    Energy consumption; Carbon emission; Bitcoin; Time-dependent; The United States;
    All these keywords.

    JEL classification:

    • 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
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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