Analysis of the Spillover Effects Between Green Economy, Clean and Dirty Cryptocurrencies

dc.contributor.author Sharif, Arshian
dc.contributor.author Brahim, Mariem
dc.contributor.author Dogan, Eyup
dc.contributor.author Tzeremes, Panayiotis
dc.date.accessioned 2025-09-25T10:40:46Z
dc.date.available 2025-09-25T10:40:46Z
dc.date.issued 2023
dc.description Sharif, Arshian/0000-0002-1155-4151; en_US
dc.description.abstract Cryptocurrencies have been widely used as financial instruments over the past decade. Given the development of the cryptocurrency market and the increasing awareness of greener and more energy-efficient tokens, their connection to the green economy has become a popular topic for understanding economic and policy issues. However, the literature still lacks clear evidence on how cryptocurrencies interact with green economy in-dicators. Therefore, this study examines the correlations and spillover relationships between green economy indices, five black cryptocurrencies, and five clean cryptocurrencies for the U.S., Euro, and Asian markets. To this end, it applies the novel quantile spillover index approach of Ando et al. (2018) to daily data from November 9, 2017, to April 4, 2022. The empirical results show that the overall linkage is stronger for green economy indices and clean cryptocurrencies than for dirty cryptocurrencies. Moreover, green economy indices show net receiving behavior, while cryptocurrencies' results differ across variables, quantiles, and time. In addition, a notable point for clean cryptocurrencies is 2020, which was the start of the COVID-19 pandemic. The overall spillover effect is very high for all quantiles for the three markets, especially for Asia. This outcome signifies the safe harbor property for diversification purposes of the green economy. The results presented in this study are important for investors, regulators and, policymakers, cryptocurrency founders as they seek to be financially integrated and develop a more sustainable business. en_US
dc.identifier.doi 10.1016/j.eneco.2023.106594
dc.identifier.issn 0140-9883
dc.identifier.issn 1873-6181
dc.identifier.scopus 2-s2.0-85149308002
dc.identifier.uri https://doi.org/10.1016/j.eneco.2023.106594
dc.identifier.uri https://hdl.handle.net/20.500.12573/3283
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.relation.ispartof Energy Economics en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Green Economy en_US
dc.subject Cryptocurrency en_US
dc.subject Spillover Effect en_US
dc.subject Connectedness en_US
dc.title Analysis of the Spillover Effects Between Green Economy, Clean and Dirty Cryptocurrencies en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Sharif, Arshian/0000-0002-1155-4151
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gdc.author.wosid Sharif, Arshian/I-4221-2016
gdc.author.wosid Tzeremes, Panayiotis/B-2886-2019
gdc.author.wosid Dogan, Eyup/J-8676-2019
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gdc.description.department Abdullah Gül University en_US
gdc.description.departmenttemp [Sharif, Arshian] Sunway Univ, Dept Econ & Finance, Petaling Jaya, Malaysia; [Brahim, Mariem] Paris Sch Business, Paris, France; [Dogan, Eyup] Abdullah Gul Univ, Dept Econ, Kayseri, Turkiye; [Dogan, Eyup] Univ Sharjah, Coll Business Adm, Sharjah, U Arab Emirates; [Tzeremes, Panayiotis] Univ Thessaly, Dept Accounting & Finance, Volos, Greece en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 106594
gdc.description.volume 120 en_US
gdc.description.woscitationindex Social Science Citation Index
gdc.description.wosquality Q1
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gdc.oaire.sciencefields 0211 other engineering and technologies
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 62
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gdc.scopus.citedcount 99
gdc.virtual.author Doğan, Eyüp
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