Hierarchical cluster analysis of Bitcoin mining according to environmental and economic impact – Polina Vershinina
Polina Vershinina
Master's thesis
Hierarchical cluster analysis of Bitcoin mining according to environmental and economic impact
HIERARCHICAL CLUSTER ANALYSIS OF BITCOIN MINING ACCORDING TO ENVIRONMENTAL AND ECONOMIC IMPACT
Abstract:
The spread of cryptocurrencies across the world raises many issues about their environmental and economic impact. This thesis aims to identify the best and worst countries for Bitcoin mining based on environmental and economic indicators and understand the factors contributing to their rankings. Using hierarchical cluster analysis and k-means clustering, the author finds the countries with the worst …moreAbstract:
The spread of cryptocurrencies across the world raises many issues about their environmental and economic impact. This thesis aims to identify the best and worst countries for Bitcoin mining based on environmental and economic indicators and understand the factors contributing to their rankings. Using hierarchical cluster analysis and k-means clustering, the author finds the countries with the worst …more
Language used: English
Date on which the thesis was submitted / produced: 29. 4. 2023
Identifier:
https://vskp.vse.cz/eid/89308
Thesis defence
- Date of defence: 5. 6. 2023
- Supervisor: Zdeněk Šulc
- Reader: Jiří Koudelka
Citation record
ISO 690-compliant citation record:
VERSHININA, Polina. \textit{Hierarchical cluster analysis of Bitcoin mining according to environmental and economic impact}. Online. Master's thesis. Praha: University of Economics, Prague. 2023. Available from: https://theses.cz/id/lmjr22/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/89308
Vysoká škola ekonomická v Praze
Master programme / field:
Economic Data Analysis / Data Analysis and Modeling
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