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How cryptocurrency affects economy? A network analysis using bibliometric methods

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  • Yue, Yao
  • Li, Xuerong
  • Zhang, Dingxuan
  • Wang, Shouyang

Abstract

This paper analyses existing literature about the economic effects of cryptocurrency using bibliometric methods. 1850 articles are collected from “Web of Science core database” from 2013 to 2020. We explore research hotspots and development trends through descriptive statistical analysis, keyword co-occurrence and literature co-citation network analysis. We find that literature of computer sciences and interdisciplinary fields mainly research the technologies’ effects on the economic phenomenon, the technique progress in overcoming the negative economic effects of cryptocurrency, and appeal to establish a new payment system based on the underlying technologies. In comparison, the literature of economic field is concerned about the economic outcomes of cryptocurrency. Especially with the occurrence of various altcoins and the steady progress of legal digital currency in some countries, scholars have paid more attention to the investment properties of cryptocurrency. Based on these findings, this paper holds that the macroeconomic effects of cryptocurrency, the influence mechanism of cryptocurrency and legal digital currency will become research hotspots in the future.

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  • Yue, Yao & Li, Xuerong & Zhang, Dingxuan & Wang, Shouyang, 2021. "How cryptocurrency affects economy? A network analysis using bibliometric methods," International Review of Financial Analysis, Elsevier, vol. 77(C).
    • Handle: RePEc:eee:finana:v:77:y:2021:i:c:s1057521921001976
    DOI: 10.1016/j.irfa.2021.101869
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    Cited by:

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    3. Ren, Yi-Shuai & Ma, Chao-Qun & Kong, Xiao-Lin & Baltas, Konstantinos & Zureigat, Qasim, 2022. "Past, present, and future of the application of machine learning in cryptocurrency research," Research in International Business and Finance, Elsevier, vol. 63(C).
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    7. Nitithumbundit, Thanakorn & Chan, Jennifer S.K., 2022. "Covid-19 impact on Cryptocurrencies market using Multivariate Time Series Models," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 365-375.

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    Keywords

    Cryptocurrency; Economic; Bibliometric; Network analysis; Bitcoin;
    All these keywords.

    JEL classification:

    • G0 - Financial Economics - - General

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