The material geographies of Bitfury in Georgia: Integrating cryptoasset firms into global financial networks

Ryan Wyeth, Ludovico Rella*, Ed Atkins

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)
27 Downloads (Pure)

Abstract

Cryptocurrencies, such as Bitcoin, have garnered significant attention in scholarship and beyond. Geographical work on cryptocurrencies has focussed on how their energy demand interacts with local communities and economies. Less is said about the organization of cryptoasset firms and their associated demands. This paper illuminates the complex geographies of one such firm, Bitfury Group, to investigate the global and national forms and structures such companies take and the factors encouraging them to concentrate operations in certain areas. To investigate the latter, we adopt the case study of Bitfury’s operations in Georgia, a South-Caucasian country where its presence is significant. We adapt Haberly et al.’s analytical framework to explore Bitfury’s geographical dimensions. We highlight how cheap electricity, regulatory and taxation regimes, personal encounters and personalities, and the materialities of hardware and energy-saving technology define these geographies and illuminate how Bitfury actively curates advantageous regulatory spaces. We encourage future work exploring Blockchain and Bitcoin technologies to understand the companies involved as simultaneously material and virtual, and as centrepieces in global networks interweaving production and finance.
Original languageEnglish
Number of pages17
JournalEnvironment and Planning A
Early online date30 Nov 2023
DOIs
Publication statusE-pub ahead of print - 30 Nov 2023

Bibliographical note

Funding Information:
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The research underpinning this paper has been partially funded by the European Research Council Advanced Grant “Algorithmic Societies - Ethical Life in the Machine Learning Age”. Grant code: 883107.

Publisher Copyright:
© The Author(s) 2023.

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