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Decarbonizing Bitcoin: Law and policy choices for reducing the energy consumption of Blockchain technologies and digital currencies
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“For example, organizations should carefully evaluate the operating costs of blockchain considering the fact that blockchains can consume very large amounts of energy (Truby, 2018;Uddin et al. 2018).”
From Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda (2020) · cites this paper as Truby, 2018
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Metadata
- Authors
- Truby, J.
- Affiliations
- Qatar University (QA)
- Corresponding author
- Truby, Jon
- ORCID
- Truby, Jon
- Venue
- Energy Research & Social Science
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 44
- Pages
- 399-410
- ISSN
- 2214-6296 (ISSN-L)
- OpenAlex
- W2884358933
- Cited by
- 499
- References
- 87
- Citations by year
- 2026: 56 · 2025: 62 · 2024: 73 · 2023: 72 · 2022: 60 · 2021: 64 · 2020: 73 · 2019: 31 · 2018: 8
- FWCI
- 70.96
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Energy Research & Social Science (publishedVersion)
- Qatar University QSpace (Qatar University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Social Sciences › Law › Digital Transformation in Law
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- Bitcoin, blockchain, energy consumption, digital currency, decarbonization, climate change mitigation, greenhouse gas emissions, environmental externalities, fiscal policy, regulatory policy, sustainable development, Paris Agreement
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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