The economic basis of trust in blockchain
https://doi.org/10.33293/1609-1442-2026-29(2)-124-137
EDN: HAZXNR
Abstract
The level of trust in the economy remains one of the parameters determining the well-being of society. Traditional elements were formed primarily through interpersonal relationships and institutional mechanisms. The development of digital technologies reduces the possibilities for opportunistic behavior of intermediaries and reduces the vulnerability of the trustor. In this context, blockchain acts as a catalyst for the transformation of trust in the economy. This article proposes a structured definition of the concept of «trust in blockchain» and analyzes the conditions for its implementation in the digital environment particular attention is paid to the role of blockchain as a technical and institutional infrastructure — the key technical properties of blockchain are highlighted. It is shown how they relate to the mechanisms of trust reproduction and the economic basis of these mechanisms, including the network security model. The second section examines two currently leading blockchains — Bitcoin and Ethereum: historical data on «security budget» is presented, broken down by emission and fee components, as well as data on the volume of locked funds by asset class. Based on this data, an assessment of the sustainability of the economic model is made. As a result, trust in blockchain can be viewed as a measurable economic construct. The blockchain security model proven its viability through the inflow of real assets, but its relative inefficiency limits scalability. Under these conditions, the key innovation is the redistribution of risks within the system, which allows trust to be built into its architecture. The emission of a native cryptocurrency forms the economic framework of the model, but at the same time, while a trend toward the growth of more sustainable user (fee) cash flows is observed.
Keywords
Journal of Economic Literature (JEL): O30, O31, E42, F39
About the Author
Vladislav D. KlyonovRussian Federation
Postgraduate Student
References
1. Zhilina I.Yu. (2008). Trust in the economy, Economic and Social Problems of Russia, no. 1, p. 37. (In Russ.) URL: https://cyberleninka.ru/article/n/doverie-v-ekonomike
2. Leonova I.Yu. (2015). Trust: definition, types and functions. Bulletin of Udmurt University. Series Philosophy. Psychology. Pedagogy, no. 2, p. 8. (In Russ.) URL: https://cyberleninka.ru/article/n/doverie-ponyatie-vidy-i-funktsii
3. Tryndina N.S., Ustyuzhanina E.V. (2023). Trust as an economic category: approaches to classification and systematization. Creative Economy, vol. 17, no. 1, pp. 39–54. (In Russ.) URL: https://doi.org/10.18334/ce.17.1
4. Algan Y., Cahuc P. (2014). Trust, Growth and Well-Being: New Evidence and Policy Implications. Handbook of Economic Growth, Elsevier, no. 2, pp. 49–120. DOI: 10.1016/B978-0-444-53538-2.00002-2
5. Allen D.W.E., Berg C., Markey-Towler B., Novak M., Potts J. (2020). Blockchain and the evolution of institutional technologies: Implications for innovation policy, Research Policy, vol. 49, no. 1, p. 8. DOI: 10.1016/j.respol.2019.103865
6. Atzori M. (2017). Blockchain Technology and Decentralized Governance: is the State Still Necessary? Journal of Governance and Regulation, vol. 6, no. 1, pp. 45–62. DOI: 10.22495/jgr_v6_i1_p5
7. Budish E.B. (2022). The Economic Limits of Bitcoin and Anonymous, Decentralized Trust on the Blockchain. Chicago Booth Research Paper, no. 18-07, p. 71. DOI: 10.2139/ssrn.3197300
8. Chawla C. (2020). Trust in blockchains: Algorithmic and organizational. Journal of Business Venturing Insights, vol. 14, p. 8. DOI: 10.1016/j.jbvi.2020.e00203
9. Gordon L.A., Loeb M.P. (2002). The Economics of Information Security Investment. ACM Transactions on Information and System Security, vol. 5, no. 4, pp. 438–457. DOI: 10.1007/1-4020-8090-5_9
10. Hawlitschek F., Notheisen B., Teubner T. (2018). The limits of trust-free systems: A literature review on blockchain technology and trust in the sharing economy. Electronic Commerce Research and Applications, no. 29, pp. 50–63. DOI: 10.1016/j.elerap.2018.03.005
11. Martini E., Vespasiano F. (2020). Trust and Reciprocity: The Foundations of the Sharing Economy. Italian Sociological Review, vol. 10, no. 2, pp. 239–256. DOI: 10.13136/isr.v10i2.338
12. Mosch R.H.J. (2004). The Economic Effect of Trust: Theory and Empirical Evidence. PhD, Vrije Universiteit Amsterdam, Amsterdam.p. 210. URL: https://research.vu.nl/en/publications/the-economic-effects-of-trust-theory-and-empirical-evidence/
13. Pinyol I., Sabater-Mir J. (2013). Computational trust and reputation models for open multi-agent systems: a review. Artificial Intelligence Review, vol. 40, pp. 1–25. DOI: 10.1007/s10462-011-9277‑z
14. Searle J.R. (2005). What is an institution? Journal of Institutional Economics, vol. 1, no. 1, pp. 1–22. DOI: 10.1017/S1744137405000020
15. Yaga D., Mell P., Roby N., Scarfone K. (2019). Blockchain Technology Overview. National Institute of Standards and Technology Internal, p. 68. URL: DOI: 10.6028/NIST.IR.8202
Review
For citations:
Klyonov V.D. The economic basis of trust in blockchain. Economics of Contemporary Russia. 2026;29(2):124-137. (In Russ.) https://doi.org/10.33293/1609-1442-2026-29(2)-124-137. EDN: HAZXNR
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