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An index of cryptocurrency environmental attention (ICEA)

Author

Listed:
  • Yizhi Wang
  • Brian Lucey
  • Samuel Alexandre Vigne
  • Larisa Yarovaya

Abstract

Purpose - (1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments. Design/methodology/approach - (1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities. Findings - (1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets. Research limitations/implications - The ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets. Practical implications - (1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research. Social implications - Whilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices. Originality/value - (1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

Suggested Citation

  • Yizhi Wang & Brian Lucey & Samuel Alexandre Vigne & Larisa Yarovaya, 2022. "An index of cryptocurrency environmental attention (ICEA)," China Finance Review International, Emerald Group Publishing Limited, vol. 12(3), pages 378-414, January.
  • Handle: RePEc:eme:cfripp:cfri-09-2021-0191
    DOI: 10.1108/CFRI-09-2021-0191
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    Citations

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    Cited by:

    1. Clark, Ephraim & Lahiani, Amine & Mefteh-Wali, Salma, 2023. "Cryptocurrency return predictability: What is the role of the environment?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    2. Wei, Yu & Wang, Yizhi & Lucey, Brian M. & Vigne, Samuel A., 2023. "Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets," Journal of Commodity Markets, Elsevier, vol. 29(C).
    3. Inzamam Ul Haq, 2023. "Time‐frequency comovement among green financial assets and cryptocurrency uncertainties," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(1), February.
    4. Wang, Yizhi & Wei, Yu & Lucey, Brian M. & Su, Yang, 2023. "Return spillover analysis across central bank digital currency attention and cryptocurrency markets," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Summer K. Mohamed & Sandra Haddad & Mahmoud Barakat & Bojan Rosi, 2023. "Blockchain Technology Adoption for Improved Environmental Supply Chain Performance: The Mediation Effect of Supply Chain Resilience, Customer Integration, and Green Customer Information Sharing," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
    6. Sharif, Arshian & Brahim, Mariem & Dogan, Eyup & Tzeremes, Panayiotis, 2023. "Analysis of the spillover effects between green economy, clean and dirty cryptocurrencies," Energy Economics, Elsevier, vol. 120(C).
    7. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
    8. Liu, Chunyuan & Han, Liyan & Chu, Gang, 2023. "The effect of overnight corporate announcements on price discovery," Finance Research Letters, Elsevier, vol. 53(C).
    9. Yousaf, Imran & Goodell, John W., 2023. "Linkages between CBDC and cryptocurrency uncertainties, and digital payment stocks," Finance Research Letters, Elsevier, vol. 54(C).
    10. Zhang, Dongyang & Wang, Jinli & Wang, Yizhi, 2023. "Greening through centralization of environmental monitoring?," Energy Economics, Elsevier, vol. 123(C).
    11. Lorente, Daniel Balsalobre & Mohammed, Kamel Si & Cifuentes-Faura, Javier & Shahzad, Umer, 2023. "Dynamic connectedness among climate change index, green financial assets and renewable energy markets: Novel evidence from sustainable development perspective," Renewable Energy, Elsevier, vol. 204(C), pages 94-105.
    12. Feng, Hao & Gao, Da & Duan, Kun & Urquhart, Andrew, 2023. "Does Bitcoin affect decomposed oil shocks differently? Evidence from a quantile-based framework," International Review of Financial Analysis, Elsevier, vol. 89(C).
    13. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    14. Rina Astini & Kehkashan Ishrat & Yanto Ramli & Tafiprios Tafiprios & Kwong Wing Chong & Ooi Chee Keong, 2023. "Nexus among Crypto Trading, Environmental Degradation, Economic Growth and Energy Usage: Analysis of Top 10 Cryptofriendly Asian Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 339-347, September.
    15. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    16. Ndubuisi, Gideon & Urom, Christian, 2023. "Dependence and risk spillovers among clean cryptocurrencies prices and media environmental attention," Research in International Business and Finance, Elsevier, vol. 65(C).
    17. Bitetto, Alessandro & Cerchiello, Paola, 2023. "Initial coin offerings and ESG: Allies or enemies?," Finance Research Letters, Elsevier, vol. 57(C).
    18. Xu, Xin & Huang, Shupei & Lucey, Brian M. & An, Haizhong, 2023. "The impacts of climate policy uncertainty on stock markets: Comparison between China and the US," International Review of Financial Analysis, Elsevier, vol. 88(C).

    More about this item

    Keywords

    Cryprocurrencies; Environmental impact; Energy consumption; Climate change; C43; C52; C54; D80; F18; F64;
    All these keywords.

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • F18 - International Economics - - Trade - - - Trade and Environment
    • F64 - International Economics - - Economic Impacts of Globalization - - - Environment

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