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Implications of cryptocurrency energy usage on climate change

Author

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  • Zhang, Dongna
  • Chen, Xihui Haviour
  • Lau, Chi Keung Marco
  • Xu, Bing

Abstract

This study investigates the environmental implications of cryptocurrency energy consumption on climate change. Using a spectrum of approaches, including Granger causality across quantiles, cross-quantilograms, and dynamic connectedness, we provide novel evidence on the nexus between Bitcoin mining and climate change. First, we find a significant Granger causality between carbon dioxide (CO2) emissions and the energy usage of Bitcoin that concentrates on the right-tail quantiles. Second, we show that the directional predictability from hash rate, blockchain size, and Bitcoin returns to Bitcoin electricity consumption is heterogeneous. We also discover significant directional predictability between the energy usage of Bitcoin mining and CO2 emissions. Third, the dynamic connectedness results show that hash rate transmits the most substantial net spillover effects to CO2 emissions and Bitcoin electricity consumption. Accordingly, hash rate exerts a major influence on Bitcoin electricity consumption and climate change. This study highlights the necessity of stimulating technological advances in developing energy-efficient decentralized finance consensus algorithms to transform the cryptocurrency market into a climate-friendly market. The results provide policy implications by emphasizing the importance of cryptocurrency ecosystem decarbonization in addressing environmental concerns.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:187:y:2023:i:c:s0040162522007405
    DOI: 10.1016/j.techfore.2022.122219
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    More about this item

    Keywords

    Climate change; Technological innovation; Cryptocurrency; Bitcoin; CO2 emissions;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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