03211ntm a22005057i 4500 000698974 CZ-PrVSE 20230610093205.0 m d cr n|||||||||| 230610s2023 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Vershinina, Polina ISIS:165344 dis HIERARCHICAL CLUSTER ANALYSIS OF BITCOIN MINING ACCORDING TO ENVIRONMENTAL AND ECONOMIC IMPACT eng Hierarchical cluster analysis of Bitcoin mining according to environmental and economic impact / Polina Vershinina 2023 ?? stran : digital, PDF soubor Vedoucí práce: Zdeněk Šulc Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2023 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2023 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 environmental conditions for Bitcoin mining and identifies countries that face certain economic problems where Bitcoin mining can partially improve those economic indicators. Based on this and existing literature, the author indicates the importance of electricity mix and energy production factor in determining environmental impact of Bitcoin mining. The research includes also an overview of Latin American and the Caribbean region in terms of their mining activity as suggested classification identified thar region as the best one for scaling Bitcoin mining industry. By providing a comprehensive overview of the economic and environmental impact of Bitcoin mining, this thesis can help policymakers make informed decisions. Způsob přístupu: Internet data analysis and modeling [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Bitcoin mining cluster analysis agglomerative methods Šulc, Zdeněk vse20191023055 ths Koudelka, Jiří ISIS:115599 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/82019/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/82019 Hlavní práce https://insis.vse.cz/zp/82019/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/82019/posudek/oponent/78226 Oponentura https://insis.vse.cz/zp/82019/priloha/25743 Přiloha k práci https://insis.vse.cz/zp/82019/podrobnosti dc:identifier NEPOSILAT VSKP vse82019 230606 82019