{"title":"Unraveling environmental threads: Bitcoin prices, energy consumption, and crypto market volatility","authors":"Nishant Sapra , Imlak Shaikh , David Roubaud","doi":"10.1016/j.eneco.2026.109216","DOIUrl":null,"url":null,"abstract":"<div><div>Bitcoin has evolved into a major decentralized asset, yet its escalating electricity consumption has raised concerns. Because mining is profit-driven, higher prices intensify computational activity and energy demand, directly linking market dynamics to electricity use. This study empirically investigates the dynamic relationships among Bitcoin electricity consumption, Bitcoin prices, and cryptocurrency market volatility across time and frequency domains, complemented by nonlinear causal assessment. The study applies Biwavelet Coherence, Partial-Wavelet Transform Coherence, and Diks & Panchenko techniques to 1761 daily observations from March 2020 to January 2025. The frequency-domain analysis indicates that electricity consumption leads Bitcoin prices in the long run, whereas the nonlinear causality results reveal bidirectional feedback between the two variables. Collectively, these findings suggest that Bitcoin's energy use and its price influence each other over time, forming a feedback loop rather than operating in isolation. Further, Bitcoin's electricity consumption has bidirectional nonlinear causality with cryptocurrency volatility. The findings suggest that Bitcoin's electricity consumption is more sensitive to cryptocurrency market sentiment and geopolitical risk than to traditional economic and trade policy uncertainties, implying that behavioural and geopolitical indicators may offer more informative signals for monitoring fluctuations in energy consumed within the Bitcoin network. Given the linkage between Bitcoin prices and electricity consumption, policymakers may consider upper and lower trading circuits on cryptocurrency exchanges to moderate price-driven surges in mining-related energy demand. Policymakers may also consider cryptocurrency market volatility, investor sentiment, and geopolitical risk indicators for monitoring fluctuations in Bitcoin's electricity consumption, given its observed sensitivity to these factors.</div></div>","PeriodicalId":11665,"journal":{"name":"Energy Economics","volume":"156 ","pages":"Article 109216"},"PeriodicalIF":13.5000,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Energy Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0140988326000952","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/2/24 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Bitcoin has evolved into a major decentralized asset, yet its escalating electricity consumption has raised concerns. Because mining is profit-driven, higher prices intensify computational activity and energy demand, directly linking market dynamics to electricity use. This study empirically investigates the dynamic relationships among Bitcoin electricity consumption, Bitcoin prices, and cryptocurrency market volatility across time and frequency domains, complemented by nonlinear causal assessment. The study applies Biwavelet Coherence, Partial-Wavelet Transform Coherence, and Diks & Panchenko techniques to 1761 daily observations from March 2020 to January 2025. The frequency-domain analysis indicates that electricity consumption leads Bitcoin prices in the long run, whereas the nonlinear causality results reveal bidirectional feedback between the two variables. Collectively, these findings suggest that Bitcoin's energy use and its price influence each other over time, forming a feedback loop rather than operating in isolation. Further, Bitcoin's electricity consumption has bidirectional nonlinear causality with cryptocurrency volatility. The findings suggest that Bitcoin's electricity consumption is more sensitive to cryptocurrency market sentiment and geopolitical risk than to traditional economic and trade policy uncertainties, implying that behavioural and geopolitical indicators may offer more informative signals for monitoring fluctuations in energy consumed within the Bitcoin network. Given the linkage between Bitcoin prices and electricity consumption, policymakers may consider upper and lower trading circuits on cryptocurrency exchanges to moderate price-driven surges in mining-related energy demand. Policymakers may also consider cryptocurrency market volatility, investor sentiment, and geopolitical risk indicators for monitoring fluctuations in Bitcoin's electricity consumption, given its observed sensitivity to these factors.
期刊介绍:
Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.