IDEAS home Printed from https://ideas.repec.org/a/ces/ifosdt/v71y2018i02p18-20.html

Die ökonomischen Kosten des Bitcoin-Mining

Author

Listed:
  • Marcel Thum

Abstract

Bitcoins werden in der Öffentlichkeit momentan vor allem unter den Aspekten des »staatsfernen« Geldes und der Gefahren einer spekulativen Blase diskutiert. In der Euphorie über die neue Form digitaler Währung wird häufig übersehen, dass Bitcoins und andere Kryptowährungen im Gegensatz zum traditionellen Geld erhebliche reale Kosten bei der Erzeugung verursachen. Allein die Erzeugung von Bitcoins dürfte seit 2010 mehr als 5 Mrd. US-Dollar gekostet haben.

Suggested Citation

  • Marcel Thum, 2018. "Die ökonomischen Kosten des Bitcoin-Mining," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 71(02), pages 18-20, February.
  • Handle: RePEc:ces:ifosdt:v:71:y:2018:i:02:p:18-20
    as

    Download full text from publisher

    File URL: https://www.ifo.de/DocDL/sd-2018-02-thum-bitcoin-2018-01-25.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Carl-Ludwig Thiele & Martin Diehl & Thomas Mayer & Dirk Elsner & Gerrit Pecksen & Volker Brühl & Jochen Michaelis, 2017. "Kryptowährung Bitcoin: Währungswettbewerb oder Spekulationsobjekt: Welche Konsequenzen sind für das aktuelle Geldsystem zu erwarten?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 70(22), pages 03-20, November.
    2. Nitzan, Shmuel, 1994. "Modelling rent-seeking contests," European Journal of Political Economy, Elsevier, vol. 10(1), pages 41-60, May.
    3. David Yermack, 2013. "Is Bitcoin a Real Currency? An economic appraisal," NBER Working Papers 19747, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Thomas Mayer & Julian Grigo & Patrick Hansen & Lars Hornuf & Burkhard Balz & Jan Paulick & Markus Demary & Vera Demary & Stefan Eichler & Marcel Thum & Gilbert Fridgen & Benedict Drasch, 2019. "Parallelwährungen jenseits der Finanzaufsicht: Haben Bitcoin und Libra eine Zukunft?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(17), pages 03-28, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alexandra Mitschke, 2021. "Central Bank Digital Currencies and Monetary Policy Effectiveness in the Euro Area," Working Papers Dissertations 74, Paderborn University, Faculty of Business Administration and Economics.
    2. Felix Reichel, 2025. "Two-Stage Asymmetric Tullock Contests with Cost Shifters and Endogenous Continuation Decision," Papers 2510.00349, arXiv.org.
    3. Glazer, Amihai, 2002. "Allies as rivals: internal and external rent seeking," Journal of Economic Behavior & Organization, Elsevier, vol. 48(2), pages 155-162, June.
    4. Hinnosaar, Toomas, 2024. "Optimal sequential contests," Theoretical Economics, Econometric Society, vol. 19(1), January.
    5. Christie Smith & Aaron Kumar, 2018. "Crypto‐Currencies – An Introduction To Not‐So‐Funny Moneys," Journal of Economic Surveys, Wiley Blackwell, vol. 32(5), pages 1531-1559, December.
    6. repec:elg:eechap:15325_21 is not listed on IDEAS
    7. Gil Epstein & Ira Gang, 2007. "Understanding the development of fundamentalism," Public Choice, Springer, vol. 132(3), pages 257-271, September.
    8. Bildirici, Melike E. & Sonustun, Bahri, 2021. "Chaotic behavior in gold, silver, copper and bitcoin prices," Resources Policy, Elsevier, vol. 74(C).
    9. Matros, Alexander, 2012. "Sad-Loser contests," Journal of Mathematical Economics, Elsevier, vol. 48(3), pages 155-162.
    10. Lai T. Hoang & Dirk G. Baur, 2020. "Forecasting bitcoin volatility: Evidence from the options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1584-1602, October.
    11. Xiaojing Kong, 2008. "Loss Aversion and Rent-Seeking: An Experimental Study," Discussion Papers 2008-13, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    12. Normann Lorenz, 2014. "Using quantile regression for optimal risk adjustment," Research Papers in Economics 2014-11, University of Trier, Department of Economics.
    13. John Morgan & Felix Várdy, 2011. "On the buyability of voting bodies," Journal of Theoretical Politics, , vol. 23(2), pages 260-287, April.
    14. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    15. Siegel, Ron, 2014. "Asymmetric all-pay auctions with interdependent valuations," Journal of Economic Theory, Elsevier, vol. 153(C), pages 684-702.
    16. White, Reilly & Marinakis, Yorgos & Islam, Nazrul & Walsh, Steven, 2020. "Is Bitcoin a currency, a technology-based product, or something else?," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    17. Bouri, Elie & Molnár, Peter & Azzi, Georges & Roubaud, David & Hagfors, Lars Ivar, 2017. "On the hedge and safe haven properties of Bitcoin: Is it really more than a diversifier?," Finance Research Letters, Elsevier, vol. 20(C), pages 192-198.
    18. Alessandra Cretarola & Gianna Fig`a-Talamanca & Marco Patacca, 2017. "A sentiment-based model for the BitCoin: theory, estimation and option pricing," Papers 1709.08621, arXiv.org.
    19. Yuting Gao, 2022. "Lobbying for Trade Liberalization and its Policy Influence," CAEPR Working Papers 2022-006 Classification-D, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    20. Klein, Arnd Heinrich & Schmutzler, Armin, 2017. "Optimal effort incentives in dynamic tournaments," Games and Economic Behavior, Elsevier, vol. 103(C), pages 199-224.
    21. Salisu, Afees A. & Ogbonna, Ahamuefula E., 2022. "The return volatility of cryptocurrencies during the COVID-19 pandemic: Assessing the news effect," Global Finance Journal, Elsevier, vol. 54(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ifosdt:v:71:y:2018:i:02:p:18-20. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/ifooode.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.