Prague Economic Papers 2022, 31(5):377-397 | DOI: 10.18267/j.pep.817
Bitcoin Transaction Fees, Miners' Revenue, Concentration and Electricity Consumption: A Failing Ecosystem
- a Dongbei University of Finance and Economics, Department of Accounting, Dalian, China
- b Matej Bel University, Faculty of Economics, Department of Finance and Accounting, Banska Bystrica, Slovakia
The research and investment community seems to ignore the long-term sustainability of Bitcoin, which is reflected in four flaws: transaction fees, miners' revenue, concentration and electricity consumption. While most of the authors have aimed to examine one topic at a time, with a particular interest in electricity consumption and carbon footprint, the aim of this paper is to examine all these issues simultaneously to provide a more comprehensive view on long-term sustainability of Bitcoin. This paper looks at these flaws and reveals why Bitcoin is not sustainable in the long run, how decentralization is being lost, how the design is putting artificial and unrealistic pressure on the ecosystem, while all being powered by an unjustifiable amount of dirty electricity sources. Our main findings are as follows. Firstly, transaction fees are already high and set to increase in time, further discriminating small transactions against big ones. Secondly, miners' revenue comes mostly from the block reward. The block reward is the main income source for miners, but is set to be cut on a regular basis, making miners' revenue not sustainable in the long run. Thirdly, miner concentration is already an issue, with a possibility of deepening even more and diminishing the idea of decentralization. Fourthly, the high electricity demand and the associated carbon footprint thus cannot be justified by any means. We deem our results useful for overall policy and regulatory implications.
Keywords: Bitcoin, transaction fees, miners' revenue, miner concentration, Electricity consumption
JEL classification: E14, F39, G19
Received: November 18, 2021; Revised: June 7, 2022; Accepted: September 15, 2022; Published: December 5, 2022 Show citation
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References
- Auer, R. (2019). Beyond the Doomsday Economics of "Proof-of-Work" in Cryptocurrencies. Globalization Institute Working Paper 355, https://doi.org/10.24149/gwp355
Go to original source...
- Blandin, A., Pieters, G., Wu, Y., et al. (2020). 3rd Global Cryptoasset Benchmarking Study. Cambridge: Cambridge Centre for Alternative Finance, University of Cambridge: Judge Business School. Available at: https://www.jbs.cam.ac.uk/wp-content/uploads/2021/01/2021-ccaf-3rd-global-cryptoasset-benchmarking-study.pdf
Go to original source...
- Cambridge Centre for Alternative Finance, University of Cambridge: Judge Business School (2021). Cambridge Bitcoin Electricity Consumption Index (CBECI), Bitcoin Mining Map. [Retrieved 2022-03-02] Available at: https://cbeci.org/mining_map
- Corbet, S., Lucey, B., Yarovaya, L. (2021). Bitcoin-energy markets interrelationships - New evidence. Resources Policy, 70, https://doi.org/10.1016/j.resourpol.2020.101916
Go to original source...
- Das, D., Dutta, A. (2019). Bitcoin's energy consumption: Is it the Achilles heel to miner's revenue? Economics Letters, 186, https://doi.org/10.1016/j.econlet.2019.108530
Go to original source...
- De Vries, A. (2019). Renewable Energy Will Not Solve Bitcoin's Sustainability Problem. Joule, 3(4), 893-898, https://doi.org/10.1016/j.joule.2019.02.007
Go to original source...
- De Vries, A. (2020). Bitcoin's energy consumption is underestimated: A market dynamics approach. Energy Research and Social Science, 70, https://doi.org/10.1016/j.erss.2020.101721
Go to original source...
- Di Febo, E., Ortolano, A., Foglia, M., et al. (2021). From Bitcoin to carbon allowances: An asymmetric extreme risk spillover. Journal of Environmental Management, 298, https://doi.org/10.1016/j.jenvman.2021.113384
Go to original source...
- Easley, D., O'Hara, M., Basu, S. (2019). From mining to markets: The evolution of bitcoin transaction fees. Journal of Financial Economics, 134(1), 91-109, https://doi.org/10.1016/j.jfineco.2019.03.004
Go to original source...
- Elliott, F., Duncan, G. (2009). Chancellor Alistair Darling on brink of second bailout for banks. [Retrieved 2022-04-05] Avalaible at: https://www.thetimes.co.uk/article/chancellor-alistair-darling-on-brink-of-second-bailout-for-banks-n9l382mn62h
- Fantacci, L. (2019). Cryptocurrencies and the Denationalization of Money. International Journal of Political Economy, 48(2), https://doi.org/10.1080/08911916.2019.1624319
Go to original source...
- Huynh, A. N. Q., Duong, D., Burggraf, T., et al. (2022). Energy Consumption and Bitcoin Market. Asia-Pacific Financial Markets, 29, 79-93, https://doi.org/10.1007/s10690-021-09338-4
Go to original source...
- Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Austin: Satoshi Nakamoto Institute. Available at: https://bitcoin.org/bitcoin.pdf
- Nakamoto, S. (2010). What's with this odd generation? Bitcoin Forum. [Retrieved 2022-04-05] Available at: https://bitcointalk.org/index.php?topic=48.msg329#msg329
- Polemis, M. L., Tsionas, M. G. (2021). The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin. International Journal of Finance and Economics, https://doi.org/10.1002/ijfe.2496
Go to original source...
- Rauchs, M., Blandin, A., Klein, K., et al. (2018). 2rd Global Cryptoasset Benchmarking Study. Cambridge: Cambridge Centre for Alternative Finance, University of Cambridge: Judge Business School. Available at: https://www.jbs.cam.ac.uk/faculty-research/centres/alternative-finance/publications/2nd-global-cryptoasset-benchmark-study/
Go to original source...
- Stoll, C., Klaaßen, L., Gallersdö, U. (2019). The Carbon Footprint of Bitcoin. Joule, 3(7), 1647-1661, https://doi.org/10.1016/j.joule.2019.05.012
Go to original source...
- Truby, J. (2018). Decarbonizing Bitcoin: Law and policy choices for reducing the energy consumption of Blockchain technologies and digital currencies. Energy Research and Social Science, 44, 399-410, https://doi.org/10.1016/j.erss.2018.06.009
Go to original source...
- Tsang, K. P., Yang, Z. (2021). The market for bitcoin transactions. Journal of International Financial Markets, 71, https://doi.org/10.1016/j.intfin.2021.101282
Go to original source...
- Xu, J., Wen, B,, Miao, H., et al. (2021). Bitcoin miners: Exploring a covert community in the Bitcoin ecosystem. Peer-to-Peer Networking and Applications, 14, 644-654, https://doi.org/10.1007/s12083-020-01021-1
Go to original source...
- MacLaurin W. R. The process of technological innovation: launching a new scientific industry[J]. The American Economic Review, 1950, (40)1:303-348.
- Meirun, T., Mihardjo, L. W., Haseeb, M., Khan, S. A. R., and Jermsittiparsert, K. (2021). The dynamics effect of green technology innovation on economic growth and CO 2 emission in Singapore: New evidence from bootstrap ARDL approach. Environmental Science and Pollution Research, 28(4), 4184-4194. https://doi.org/10.1007/s11356-020-10760-w
Go to original source...
- Samad, G., and Manzoor, R. (2011). Green Growth: An Environmental Technology Approach. The Pakistan Development Review, 50(4), 471-490. http://www.jstor.org/stable/23617713
Go to original source...
- Shen, F., Liu, B., Luo, F., Wu, C., Chen, H., and Wei, W. The effect of economic growth target constraints on green technology innovation. J Environ Manage. 2021 Aug 15;292:112765. doi: 10.1016/j.jenvman.2021.112765. Epub 2021 May 20. PMID: 34022652.
Go to original source...
- Shi, T., Yang, S., Zhang, W., and Zhou, Q. (2020). Coupling coordination degree measurement and spatiotemporal heterogeneity between economic development and ecological environment----Empirical evidence from tropical and subtropical regions of China. Journal of Cleaner Production, 244, 118739.https://doi.org/10.1016/j.jclepro.2019.118739Sun Yuhong, and Zhang Chunxiao. The Review and Thinking of China's Green Technology Innovation in the past 40 years of reform and opening [J]. Guangdong Social Sciences, 2018 (05): 5-12.
Go to original source...
- Tang, Z. (2015). An integrated approach to evaluating the coupling coordination between tourism and the environment. Tourism Management, 46, 11-19.https://doi.org/10.1016/j.tourman.2014.06.001Tao Changqi, Li Cui, and Wang Xiahuan. The effect of environmental regulation on total factor energy efficiency and the evolution of energy consumption structureTao Feng, Zhao Jinyu, and Zhou Hao. Does environmental regulation achieve the "incremental quality improvement" of green technology innovation from the environmental target responsibility system [J]? China Industrial Economy, 2021 (02): 136-154.
Go to original source...
- Tovar, B. and Rendeiro Martín-Cejas, R. Technical efficiency and productivity changes in Spanish airports: A parametric distance functions approach[J]. Transportation Research Part E Logistics & Transportation Review, 2010, 46(2):249-260.Wang Fayuan and Wang Zongshun. Green technology progress, financial input and high-quality economic development [J]. Statistics and Decision-making, 2021,37 (14): 109-112.
Go to original source...
- Wang Hui, Wang Xiaoqiao, Miao Zhuang, and Li Xiaocong. Heogenous threshold effect of R & D investment on green innovation efficiency based on China's high-tech industry [J]. Scientific research management, 2016,37 (02): 63-71.
- Wang, Q., Qu, J., Wang, B., Wang, P., and Yang, T. (2019). Green technology innovation development in China from 1990 to 2015. Science of the Total Environment, 696, 134008.https://doi.org/10.1016/j.scitotenv.2019.134008
Go to original source...
- Wicki, S., and Hansen, E. G. (2019). Green technology innovation: Anatomy of exploration processes from a learning perspective. Business Strategy and the Environment, 28(6), 970-988.https://doi.org/10.1002/bse.2295Xiao Liming, Gao Junfeng, Liu Shuai. Empirical Analysis of Interprovincial panel data based on spatial gradient [J]. Soft Science, 2017,31 (09): 63-68.
Go to original source...
- Xing, L., Xue, M., and Hu, M. (2019). Dynamic simulation and assessment of the coupling coordination degree of the economy-resource-environment system: Case of Wuhan City in China. Journal of Environmental Management, 230, 474-487.https://doi.org/10.1016/j.jenvman.2018.09.065Yang Haochang, Li Lianshui, and Zhang Invention. High-tech industrial agglomeration and green technology innovation performance [J]. Research management, 2020,41 (09): 99-112.
Go to original source...
- Zailani, S., Iranmanesh, M., Nikbin, D., and Jumadi, H. B. (2014). Determinants and environmental outcome of green technology innovation adoption in the transportation industry in Malaysia. Asian Journal of technology innovation, 22(2), 286- 301. https://doi.org/10.1080/19761597.2014.973167Zhu Yuke, Gao Honggui, and Xiao Tian. Green technology innovation, industrial structure optimization and high-quality economic development of industrial enterprises [J]. Statistics and Decision-making, 2021,37 (19): 111-115.
Go to original source...
- Zhuang Qinqin, Wu Bin, and Hong Qunlian. Market-oriented green technology innovation system: theoretical connotation, practical exploration and promotion strategy [J]. The Economist, 2020 (11): 29-38.
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