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Do national development factors affect cryptocurrency adoption?

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  • Bhimani, Alnoor
  • Hausken, Kjell
  • Arif, Sameen

Abstract

The adoption of cryptocurrencies is uneven across businesses, industries, and countries. Different forces drive cryptocurrency adoption (CA) dependent on the national level of development. We empirically assess the relationship between certain macro-national developmental indicators and cryptocurrency deployment across 137 countries. Linear regressions determine specific associations with cryptocurrency adoption. We report that CA correlates positively and in decreasing order with Education, the Human Development Index, the Network Readiness Index, the Gini index, Democracy, Regulatory Quality, and Gross Domestic Product, and negatively and in decreasing order with Control of Corruption, the Corruption Perception Index, and the Economic Freedom Index. We draw on our findings to point to policy implications tied to the usage of cryptocurrencies and blockchain technologies more widely and identify further research possibilities.

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  • Bhimani, Alnoor & Hausken, Kjell & Arif, Sameen, 2022. "Do national development factors affect cryptocurrency adoption?," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    • Handle: RePEc:eee:tefoso:v:181:y:2022:i:c:s0040162522002657
    DOI: 10.1016/j.techfore.2022.121739
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    1. Youssef El-Khatib & Abdulnasser Hatemi-J, 2023. "On a regime switching illiquid high volatile prediction model for cryptocurrencies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(2), pages 485-498, July.
    2. Arpaci, Ibrahim, 2023. "Predictors of financial sustainability for cryptocurrencies: An empirical study using a hybrid SEM-ANN approach," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    3. Gambarelli, Luca & Marchi, Gianluca & Muzzioli, Silvia, 2023. "Hedging effectiveness of cryptocurrencies in the European stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    4. Loh, Xiu-Ming & Lee, Voon-Hsien & Leong, Lai-Ying & Aw, Eugene Cheng-Xi & Cham, Tat-Huei & Tang, Yun-Chia & Hew, Jun-Jie, 2023. "Understanding consumers’ resistance to pay with cryptocurrency in the sharing economy: A hybrid SEM-fsQCA approach," Journal of Business Research, Elsevier, vol. 159(C).

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    More about this item

    Keywords

    Cryptocurrencies; Blockchain; Technology adoption; National development;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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