Analysis of Countries’ Maturity for a Financial Transition Towards Tokenization

Main Article Content

Mohamed Laarabi https://orcid.org/0000-0002-4762-8458
Hicham Sadok https://orcid.org/0000-0003-4402-0954
Abdelouahab Maarouf
Abdellatif Chatri

Keywords

Digital Finance, Transaction Costs, Tokenization, Blockchain

Abstract

A silent revolution is taking place in the world of finance. Approved by regulators, blockchain technology is gradually becoming established in the issuance of new “tokenized” financial securities, which allow financiers to make significant progress in overcoming the constraints imposed by transaction cost theory (TCT).


In this era of financial transition towards the tokenization process, our research aims to examine the state of readiness for this digital transformation through the development of an index (Readiness Indicator Function, RIF), which will be applied to the analysis of seven countries, namely Morocco, Tunisia, Egypt, Spain, Portugal, South Africa and Nigeria.


Using Principal Component Analysis (PCA), we examine 16 crucial economic and technological factors to provide a comprehensive framework to assess the capacity of each country to integrate tokenization into its markets and financial institutions.


Despite low Gross Domestic Product (GDP) per capita, analysis of RIF criteria data shows that the sample countries have potential for implementing digital financial transformation through tokenization. This study provides policy makers, economic actors and financial institutions with grounded insights into critical areas for strategic investments and regulatory reform to implement tokenization.

Abstract 7 | 1012-PDF-v13n1pp118-137 Downloads 0

References

Adhami, S., Giudici, G., & Martinazzi, S. (2018). Why do businesses go crypto? An empirical analysis of initial coin offerings. Journal of Economics and Business, 100, 64-75. https://doi.org/10.1016/j.jeconbus.2018.04.001
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, 49(1), 103865. https://doi.org/10.1016/j.respol.2019.103865
Chen, Y., & Bellavitis, C. (2020). Blockchain disruption and decentralized finance: The rise of decentralized business models. Journal of Business Venturing Insights, 13, e00151. https://doi.org/10.1016/j.jbvi.2019.e00151
Coase, R. H. (1937). The Nature of the Firm. Economica, 4(16), 386-405. https://doi.org/10.1111/j.1468-0335.1937.tb00002.x
Cong, L. W., & He, Z. (2019). Blockchain Disruption and Smart Contracts. The Review of Financial Studies, 32(5), 1754-1797. https://doi.org/10.1093/rfs/hhz007
Davidson, S., De Filippi, P., & Potts, J. (2018). Blockchains and the economic institutions of capitalism. Journal of Institutional Economics, 14(4), 639-658. https://doi.org/10.1017/S1744137417000200
DeVivo, M. J., Biering-Sørensen, F., New, P., & Chen, Y. (2011). Standardization of data analysis and reporting of results from the International Spinal Cord Injury Core Data Set. Spinal Cord, 49(5), 596-599. https://doi.org/10.1038/sc.2010.172
Fenwick, M., & Vermeulen, E. P. M. (2018). Technology and Corporate Governance: Blockchain, Crypto, and Artificial Intelligence. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3263222
Harvey, C. R., Ramachandran, A., & Santoro, J. (2020). DeFi and the Future of Finance. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3711777
Hu, L., & Bentler, P. M. (1999). Cut off criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1‑55. https://doi.org/10.1080/10705519909540118
Hughes, A., Park, A., Kietzmann, J., & Archer-Brown, C. (2019). Beyond Bitcoin: What blockchain and distributed ledger technologies mean for firms. Business Horizons, 62(3), 273-281. https://doi.org/10.1016/j.bushor.2019.01.002
Laarabi, M., Chegri, B., Mohammadia, A. M., & Lafriouni, K. (2022). Smart Contracts Applications in Real Estate: A Systematic Mapping Study. 2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 1-8. https://doi.org/10.1109/IRASET52964.2022.9737796
Li, X., & Wang, C. A. (2017). The technology and economic determinants of cryptocurrency exchange rates : The case of Bitcoin. Decision Support Systems, 95, 49‑60. https://doi.org/10.1016/j.dss.2016.12.001
Mahboub, H., & Sadok, H. (2023). Contribution to a Better Digital Transformation Implementation : An Integrative Approach. In J.-L. Kim (Éd.), Frontiers in Artificial Intelligence and Applications. IOS Press. https://doi.org/10.3233/FAIA230773
Mahboub, H., & Sadok, H. (2024). Barriers to Digital Transformation: The Case of Moroccan Companies. Journal of Telecommunications and the Digital Economy, 12(1), 261-277. https://doi.org/10.18080/jtde.v12n1.814
Mahboub, H., Sadok, H., Chehri, A., & Saadane, R. (2023). Measuring the Digital Transformation: A Key Performance Indicators Literature Review. Procedia Computer Science, 225, 4570-4579. https://doi.org/10.1016/j.procs.2023.10.455
Momtaz, P. P. (2020). Initial Coin Offerings. PLOS ONE, 15(5), e0233018. https://doi.org/10.1371/journal.pone.0233018
Mouline, B., & Sadok, H. (2021). Determinants of corporate cash holdings: Evidence from the Moroccan market. Accounting, 7(6), 1231-1240. https://doi.org/10.5267/j.ac.2021.4.017
Radziwill, N. (2018). Blockchain Revolution: How the Technology Behind Bitcoin is Changing Money, Business, and the World.: 2016. Dan Tapscott and Alex Tapscott. New York: Penguin Random House. 348 pages. Quality Management Journal, 25(1), 64-65. https://doi.org/10.1080/10686967.2018.1404373
Sadok, H. (2023). The Initial Coin Offering: Is It a Profitable Tool for Investment? In R. Jallouli, M. A. Bach Tobji, M. Belkhir, A. M. Soares, & B. Casais (Éds.), Digital Economy. Emerging Technologies and Business Innovation (Vol. 485, p. 185-194). Springer International Publishing. https://doi.org/10.1007/978-3-031-42788-6_12
Sadok, H., & Assadi, D. (2023). The Contribution of AI-Based Analysis and Rating Models to Financial Inclusion. In R. Gera, D. Assadi, & M. Starnawska, Artificial Intelligence, Fintech, and Financial Inclusion (1re éd., p. 11-25). CRC Press. https://doi.org/10.1201/9781003125204-2
Sadok, H., & El Maknouzi, M. E. H. (2021). The regulation of virtual currencies in comparative perspective: New private money or niche technological innovation? Journal of Money Laundering Control, 24(4), 712-724. https://doi.org/10.1108/JMLC-09-2020-0101
Sadok, H., Mahboub, H., Chaibi, H., Saadane, R., & Wahbi, M. (2023). Applications of Artificial Intelligence in Finance: Prospects, Limits and Risks. 2023 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA), 145-149. https://doi.org/10.1109/ICDATA58816.2023.00034
Williamson, O. E. (2010). Transaction Cost Economics: The Natural Progression. American Economic Review, 100(3), 673-690. https://doi.org/10.1257/aer.100.3.673
Zohar, A. (2015). Bitcoin: Under the hood. Communications of the ACM, 58(9), 104-113. https://doi.org/10.1145/2701411