Bitcoin’s Energy Consumption, Price Volatility, and Environmental Pollution: Contagion and Causality Dynamics Under Heteroskedasticity and Nonlinearity DOI Creative Commons
Melike Bildirici, Özgür Ömer Ersin

International Journal of Energy Research, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Bitcoin’s (BT) energy demand due to the proof of work mining algorithm and transaction methods has been criticized in recent literature because BT’s global consumption (EC) being equal or even greater than that some industrialized economies. This study explores contagion causality dynamics under nonlinearity heteroskedasticity with Markovian‐type regime switches among BT price volatility, EC from BT, its effects on carbon dioxide (CO 2 ) emissions a daily sample January 2, 2012–December 24, 2023. In empirical methodology, following preliminary tests indicated heteroskedasticity, this employed novel Markov‐switching‐based nonlinear volatility copula models capture marginal distributions CO emissions, their joint for tail dependence determine asymmetric relations distinct regimes high low governed by Markov chains. The results indicate significant positive parameters magnitudes demonstrating occurring at extreme levels upper lower tails during both regimes. Novel designated unidirectional , as well each coupled existent bidirectional confirming cyclical feedback between prices For robustness comparison, single‐regime were employed, findings confirmed concerning contagion. However, approach led set inconsistencies owing omitting while capturing nonrejection EC, emissions. Important policy recommendations include green alternatives cryptocurrency‐mining algorithms.

Language: Английский

Can Cryptocurrencies Be Green? The Role of Stablecoins Toward a Carbon Footprint and Sustainable Ecosystem DOI Open Access

Dimitrios Koemtzopoulos,

Γεωργία Ζουρνατζίδου, Nikolaos Sariannidis

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 483 - 483

Published: Jan. 10, 2025

(1) Background: Cryptocurrencies have a substantial environmental impact. In particular, the mining procedure that is employed to produce and finalize transaction energy-intensive generates carbon emissions. Consequently, objective of present investigation investigate function cryptocurrencies in sustainable development. This research specifically investigates stablecoins, novel subject finance academia has potential foster business environment. (2) Methods: A bibliometric analysis was performed using R statistical programming language together with tools Biblioshiny VOSviewer fulfill objective. Data were obtained from Scopus database, their selection completed PRISMA methodology. (3) Results: The results current highlight crucial role stablecoins promoting an alternative decentralized financial sector, offering unique opportunity for market create more inclusive environmentally friendly ecosystem. Moreover, indicates might convert Ethereum into stable currency enhance ecologically path. (4) Conclusions: Stablecoins become tool unpredictable bitcoin environment, stability tumultuous market. users need acknowledge sustainability asset collateral, so far, only regulation progressing this area.

Language: Английский

Citations

5
Moving Towards Sustainable Connectivity: Bibliometric Analysis of IoT-Enabled Financial Sustainability Trends DOI Creative Commons

Priya Priya,

Kavita Sharma, Vartika Bisht

et al.

E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 616, P. 03033 - 03033

Published: Jan. 1, 2025

The Internet of Things (IoT) is one the biggest technical advances in recent years, improving our lives many different ways. One important area its application sustainable development. Additionally, funds’ availability as crucial for development IoT. relationship between technological advancements like big data, blockchain, artificial intelligence (AI), mobile platforms, and IoT with finance referred to “digital finance”. financial system has been digitalized a while now. capacity quickly, accurately, affordably, conveniently access vast amounts complex data related investments sustainability consequences accelerates transparency helps public institutions monitor regulatory aspects This study aims investigate characteristics prior studies comprehend most developments finance. A bibliometric analysis performed on 306 research publications retrieved from Scopus database published 2011 2024. Software tools VOS-Viewer Biblioshiny R Studio are used analysis. capable summarise traits patterns research. Moreover, identifies well-known authors, journals, finds articles highest citation counts fastest-growing theme domain. paper offers insightful recommendations academicians their future

Language: Английский

Citations

0
Does climate risk drive digital asset returns? DOI
Mohammad Abdullah, David Adeabah, Chi‐Chuan Lee

et al.

Physica A Statistical Mechanics and its Applications, Journal Year: 2025, Volume and Issue: unknown, P. 130530 - 130530

Published: March 1, 2025

Citations

0
Path to Sustainability: Analyzing Usage Intention of Energy-Efficient Appliances DOI Creative Commons

M. Elangovan,

M. Babu

Energy Nexus, Journal Year: 2025, Volume and Issue: unknown, P. 100406 - 100406

Published: March 1, 2025

Language: Английский

Citations

0
The Impact of Environmental Consciousness and Policy Uncertainty on Cryptocurrency Market Fluctuations DOI Open Access

Anyssa Trimech

WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT, Journal Year: 2025, Volume and Issue: 21, P. 156 - 167

Published: March 26, 2025

Cryptocurrencies represent a major financial innovation, offering an alternative to traditional monetary systems, but they spark debate due their environmental impact and regulatory challenges. This groundbreaking study explores the intricate dynamics shaping cryptocurrency market, employing ARDL model examine Nasdaq Cryptocurrency Index from April 2021 January 2023. By integrating novel variables based on media data analysis like Uncertainty Policy Environmental Attention Index, our offers unique perspective this evolving market. Our findings reveal captivating such as short-term self-reinforcing nature of immediate policy uncertainty, enduring influence concerns. pioneering research paves new ways understand anticipate future cryptocurrencies, at crossroads innovation sustainability illuminates interplay between challenges, providing crucial insights for understanding anticipating cryptocurrencies.

Language: Английский

Citations

0
Green Blockchain DOI
Anwar Ali Sathio, Muhammad Malook Rind, Shafique Ahmed Awan

et al.

Advances in environmental engineering and green technologies book series, Journal Year: 2025, Volume and Issue: unknown, P. 31 - 74

Published: April 4, 2025

Blockchain technology enables decentralized, secure, and transparent transactions but faces criticism for the high energy consumption of traditional consensus mechanisms like Proof Work (PoW). Addressing these concerns, “Green Blockchain” focuses on energy-efficient to reduce ecological impact while maintaining decentralization, transparency, security. This chapter explores sustainable methods, including Stake (PoS), Delegated (DPoS), Authority (PoA), alongside emerging algorithms emphasizing efficiency. It analyzes their architecture, benefits, trade-offs, with case studies in IoT, supply chain management, digital identity. Additionally, it examines challenges scalability, security, global adoption, offering insights into blockchain's future.

Language: Английский

Citations

0
ANALYSIS OF THE IMPACT OF CRYPTO TRADING ON CARBON EMISSIONS USING STRUCTURAL EQUATION MODELLING DOI Open Access
Suzan Oğuz

Uluslararası İktisadi ve İdari İncelemeler Dergisi, Journal Year: 2024, Volume and Issue: 44, P. 113 - 124

Published: July 30, 2024

In parallel with the growing interest in cryptocurrencies, relationship between crypto trading and CO2 is critical to drive financial markets environmental sustainability efforts. The aim of this study analyse impact on carbon emissions (CO2) through mediating roles international trade energy use. Within scope study, path analysis was carried out using 2007-2021 period data top 20 countries high volume. A model proposal presented examine relationships variables used necessary analyses were out. results show that volume has a positive significant effect emissions. It also concluded use mediate seen mining activities cryptocurrencies lead an increase impacts. At point, it important for switch renewable sources regularly report monitor cryptocurrency

Language: Английский

Citations

0
Understanding the market potential of crypto mining with quantum mechanics and golden cut-based picture fuzzy rough sets DOI Open Access
Hasan Di̇nçer, Serhat Yüksel, Gábor Pintér

et al.

Blockchain Research and Applications, Journal Year: 2024, Volume and Issue: 5(4), P. 100230 - 100230

Published: Aug. 15, 2024

Significant improvements should be made to increase the market potential of crypto mining. However, it is not financially feasible make too many because all actions lead cost increases. In this context, necessary determine factors that most affect process. Accordingly, purpose study understand main indicators improve mining activities. Therefore, research question identify which prioritized while generating appropriate strategies these a new model has been constructed answer question. First, significant are identified based on literature evaluation. After that, weighted via quantum picture fuzzy rough set-based M-SWARA. The contribution generation decision-making key issues related M-SWARA taken into consideration for criteria weighting. Owing issue, causal relationships between items can identified. findings demonstrate reducing energy costs emerges as important factor improving industry. Furthermore, technological developments also play an role in regard.

Language: Английский

Citations

0
Green cryptocurrency and business strategies: Framework and insights from a stewardship literature review DOI Open Access
Ruchi Arora,

Meera Kapoor,

Nidhi Singh

et al.

Business Strategy and the Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Abstract This study critically evaluates the extant research on green cryptocurrency (GC). It incorporates systematic literature review (SLR) approach of executed through analysis and compilation 54 relevant studies. The focus is identifying interpreting thematic foci existing gaps about GC to inform potential areas future research. SLR findings aggregated around key themes: interconnectedness, portfolio diversification, environmental impact, blockchain, behavioral regulatory policy. Additionally, develops profile selected studies in terms data methodology, findings, variables investigated, critical knowledge corpus. proffers an integrated framework actionable inferences for supporting merits novel project applications GC. crucial understanding advancing domain, which currently has scant academic efforts toward sustainable investment.

Language: Английский

Citations

0
Bitcoin’s Energy Consumption, Price Volatility, and Environmental Pollution: Contagion and Causality Dynamics Under Heteroskedasticity and Nonlinearity DOI Creative Commons
Melike Bildirici, Özgür Ömer Ersin

International Journal of Energy Research, Journal Year: 2024, Volume and Issue: 2024(1)

Published: Jan. 1, 2024

Bitcoin’s (BT) energy demand due to the proof of work mining algorithm and transaction methods has been criticized in recent literature because BT’s global consumption (EC) being equal or even greater than that some industrialized economies. This study explores contagion causality dynamics under nonlinearity heteroskedasticity with Markovian‐type regime switches among BT price volatility, EC from BT, its effects on carbon dioxide (CO 2 ) emissions a daily sample January 2, 2012–December 24, 2023. In empirical methodology, following preliminary tests indicated heteroskedasticity, this employed novel Markov‐switching‐based nonlinear volatility copula models capture marginal distributions CO emissions, their joint for tail dependence determine asymmetric relations distinct regimes high low governed by Markov chains. The results indicate significant positive parameters magnitudes demonstrating occurring at extreme levels upper lower tails during both regimes. Novel designated unidirectional , as well each coupled existent bidirectional confirming cyclical feedback between prices For robustness comparison, single‐regime were employed, findings confirmed concerning contagion. However, approach led set inconsistencies owing omitting while capturing nonrejection EC, emissions. Important policy recommendations include green alternatives cryptocurrency‐mining algorithms.

Language: Английский

Citations

0