A Threshold Approach to Investigating Bitcoin's Environmental Impact

dc.AffiliationOctober University for modern sciences and Arts MSA
dc.contributor.authorDoaa Mohamed Salman
dc.contributor.authorSalma Mahran
dc.contributor.authorIslam Abdelbary
dc.date.accessioned2026-07-22T20:33:47Z
dc.date.issued2026-03-31
dc.descriptionSJR 2025 0.591 Q1 H-Index 30 Subject Area and Category: Business, Management and Accounting Business and International Management Management Information Systems Management of Technology and Innovation Economics, Econometrics and Finance Economics, Econometrics and Finance (miscellaneous) Social Sciences Cultural Studies Health (social science)
dc.description.abstractThe rapid growth of Bitcoin trading has created tension between financial innovation and environmental sustainability. While existing research has focused on mining energy consumption, the environmental consequences of trading activity – a primary economic driver – remain underexplored, particularly across different developmental contexts. This study examines whether Bitcoin trading volume affects progress toward Sustainable Development Goal 7 (SDG7), which mandates affordable and clean energy, and whether this relationship varies by developmental status and trading intensity. Utilising a balanced panel of 21 developed and developing countries from 2014 to 2023, we employ fixed-effects models, two-stage least squares instrumental variable regression, and threshold regression to analyse the relationship between Bitcoin trading activity and energy sustainability outcomes. The results reveal significant developmental asymmetry. In developing economies, high-volume Bitcoin trading regimes—exceeding a critical threshold of approximately $28.4 trillion in annual volume—are associated with a statistically significant deterioration in SDG7 progress (coefficient = -0.0153, p = 0.031). This effect operates through increased reliance on carbon-intensive electricity generation rather than aggregate energy consumption. No significant impact is observed in developed economies. The allocation of trading volume by exchange denomination may introduce measurement bias, and the analysis does not capture subnational variation in mining concentration. Subsequent studies should employ subnational data, extend analysis to other cryptocurrencies, and investigate which specific institutional characteristics most effectively mitigate environmental damage. Bitcoin's environmental impact is neither uniform nor linear but conditional on institutional context and trading intensity, underscoring the need for context-sensitive, volume-dependent regulatory interventions.
dc.description.urihttps://www.scimagojr.com/journalsearch.php?q=21101109914&tip=sid&clean=0
dc.identifier.citationSalman, D. M., Mahran, S., & Abdelbary, I. (2026). A Threshold Approach to Investigating Bitcoin’s Environmental Impact. Virtual Economics, 9(1), 112–132. https://doi.org/10.34021/ve.2026.09.01(5)
dc.identifier.doihttps://doi.org/10.34021/ve.2026.09.01(5)
dc.identifier.otherhttps://doi.org/10.34021/ve.2026.09.01(5)
dc.identifier.urihttps://repository.msa.edu.eg/handle/123456789/6810
dc.language.isoen_US
dc.publisherLondon Academy of Science and Business
dc.relation.ispartofseriesVirtual Economics; Vol. 9, No.1, 2026
dc.subjectBitcoin trading
dc.subjectSDG7
dc.subjectdevelopmental asymmetry
dc.subjectthreshold regression
dc.subjectenergy sustainability
dc.subjectcryptocurrency regulation.
dc.titleA Threshold Approach to Investigating Bitcoin's Environmental Impact
dc.typeArticle

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