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Comparison of international digitalisation indexes: A quantitative analysis perspective

DOI:

https://doi.org/10.15678/IER.2024.1002.02

Abstract

Objective: The objective of the article is to compare the available digitalisation indexes in the EU (European Union) and Pacific Asia. The first step to tackling the between-country digital gap is to measure digital development. However, the available indexes differ substantially in terms of construction, metric used, and the areas they cover.

Research Design & Methods: The first part of the study is a descriptive analysis of the scope and metrics used by three digitalisation indexes: digital economy and society index (DESI), ASEAN digital integration index (ADII) and digital intelligence index (DII). In the second part, we approach the problem from a quantitative perspective, using correlation coefficients and comparing countries’ rankings obtained using different indexes. Lastly, we performed clustering analysis with the use of an agglomerative algorithm with Euclidean distances and the Ward method. The data covers 13 countries from the Pacific Asia and 24 from the EU.

Findings: We found that the specifications of indexes differ considerably, not only in the choice of particular metrics but in whole digitalisation areas. Some indexes include overall economic or social development measures that are not strictly related to the digital sphere. Despite that, for countries covered by two indexes, we found high correlations of scores: 0.932 between ADII and DII, and 0.883 between DII and DESI. Comparing rankings and using clustering analysis, we found that the indexes for Pacific Asia are more similar than for the EU, possibly because Asian countries are more heterogeneous both in digital and economic development.

Implications & Recommendations: Any study of the digital divide and its causes is affected by the choice of digitalisation measure. We found that DII and ADII indexes include some socio-economic metrics that may interfere with the results in the studies of the links between economic and digital development. Although the indexes’ scores are quite highly correlated, in some cases, they can judge a country’s development very differently. This is a problem, especially in the EU, where countries are more similar in digital development than in Pacific Asia.

Contribution & Value Added: The study compares digitalisation indexes from a quantitative perspective that has not yet been established in the literature. It shows how different indexes perform in ranking and clustering procedures. Researchers can use our article as a guide in choosing digitalisation indexes for the EU and ASEAN countries.

Keywords

digitalisation index, index comparison, clustering, ASEAN, EU

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Author Biography

Agnieszka Choczyńska

Agnieszka Choczyńska is a research and teaching assistant. Her research interests include Financial Markets, Econometrics, and Economic Sentiment.

Septia Rani

Septia Rani is a research and teaching assistant. Her research interests include Artificial Intelligence, Data Science, and Information Hiding.

Justyna Tora

Justyna Tora is a research and teaching assistant. Her research interests include Econometrics and Demand Modelling.


References

  1. ASEAN. (2021). ASEAN Digital Integration Index Report. ASEAN Main Portal. Retrieved from https://asean.org/book/asean-digital-integration-index-report-2021/ on February 26, 2023.
  2. Baker, F.B. (1974). Stability of Two Hierarchical Grouping Techniques Case 1: Sensitivity to Data Errors. Journal of the American Statistical Association, 69(346), 440-445. https://doi.org/10.2307/2285675
  3. Billon, M., Lera.-Lopez, F., & Marco, R. (2010). Differences in digitalization levels: a multivariate analysis studying the global digital divide. Review of World Economics, 146(1), 39-73. https://doi.org/10.1007/s10290-009-0045-y
  4. Borowiecki, R., Siuta-Tokarska, B., Maro, J., Suder, M., Thier, A., & Żmija, K. (2021). Developing Digital Economy and Society in the Light of the Issue of Digital Convergence of the Markets in the European Union Countries. Energies, 12(2717). https://doi.org/10.3390/en14092717
  5. Cámara, N., & Tuesta, D. (2017, February 20). DiGiX: The Digitization Index. BBVA Research. Retrieved from https://www.bbvaresearch.com/en/publicaciones/digix-the-digitization-index/ on March 2, 2023.
  6. Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2018, April-June). The Global Digital Divide: Evidence and Drivers. Journal of Global Information Management, 26(2), 1-27. https://doi.org/10.4018/JGIM.2018040101
  7. Digital Intelligence Index. (2020). Digital Planet. Retrieved from https://sites.tufts.edu/digitalplanet/digitalintelligence/ on August 8, 2023.
  8. Doong, S.H., & Ho, S.-C. (2012). The impact of ICT development on the global digital divide. Electronic Commerce Research and Applications, 11(5), 518-533. https://doi.org/10.1016/j.elerap.2012.02.002
  9. James, G., Witten, D., Hastie, T., & Tibshirani, R. (2021). An introduction to statistical Learning: with applications. New York: Springer. Retrieved from https://www.statlearning.com/ on May 10, 2023.
  10. Jovanović, M., Dlačić, J., & Okanović, M. (2018). Digitalization and society’s sustainable development – Measures and implications, Zbornik Radova Ekonomskog Fakultet au Rijeci, 36(2), 905-928, https://doi.org/10.18045/zbefri.2018.2.905
  11. Kafel, T., Wodecka-Hyjek, A., & Kusa, R. (2021). Multidimensional public sector organizations’ digital maturity model. Administratie si Management Public, 37, 27-40. https://doi.org/10.24818/amp/2021.37-02
  12. Korzhyk, O., Gomes, J.V., & João, G. (2023). A Comparative Study of Different Digitalization Indexes. In R. Kumar, A. Abdul Hamid, & N. Binti Ya’akub (Eds.). Effective AI, Blockchain, and E-Governance Applications for Knowledge Discovery and Management (pp. 238-267). IGI Global. https://doi.org/10.4018/978-1-6684-9151-5.ch015
  13. Kotarba, M. (2017). Measuring Digitalization – Key Metrics. In Foundations of Management, 9(1), 123-138. https://doi.org/10.1515/fman-2017-0010
  14. Kravchenko, O., Leshchenko, M., Marushchak, D., Yuriy, V., & Svitlana, B. (2019). The digitalization as a global trend and growth factor of the modern economy. SHS Web of Conferences, 63(07004). https://doi.org/10.1051/shsconf/20196507004
  15. Kryzhanovskij, O.A., Baburina, N.A., & Ljovkina, A.O. (2021). How to Make Digitalization Better Serve an Increasing Quality of Life?. Sustainability 2021, 13(2), 611. https://doi.org/10.3390/su13020611
  16. Li, F. (2022). Disconnected in a pandemic: COVID-19 outcomes and the digital divide in the United States. Health and Place, 77(102867). https://doi.org/10.1016/j.healthplace.2022.102867
  17. Mubarak, F., Suomi, R., & Kantola, S.-P. (2020). Confirming the links between socio-economic variables and digitalization worldwide: the unsettled debate on digital divide. Journal of Information. Communication and Ethics in Society, 18(3), 415-430. https://doi.org/10.1108/JICES-02-2019-0021
  18. Myovella, G., Karacuka, M., & Haucap, J. (2020). Digitalization and economic growth: A comparative analysis of Sub-Saharan Africa and OECD economies. Telecommunications Policy, 44(2). https://doi.org/10.1016/j.telpol.2019.101856
  19. Nadiri, M.I., Nandi, B., & Akoz, K.K. (2018, June 19). Impact of modern communication infrastructure on productivity, production structure and factor demands of US industries: Impact revisited. Telecommunications Policy, 42(6), 433-451. https://doi.org10.1016/j.telpol.2018.03.008
  20. Rachwał, M. (2014). Citizens’ initiatives in Switzerland. Przegląd Politologiczny, 3(33), 33-43. https://doi.org/10.14746/pp.2014.19.3.3
  21. Rodriguez-Hevía, L.F., Navío-Marco, J., & Ruiz-Gómez, L.M. (2020). Citizens’ involvement in E-government in the European Union: The rising importance of the digital skills. Sustainability: Science Practice and Policy, 12(17), 6807. https://doi.org/10.3390/su12176807
  22. Schober, P., Boer, C., & Schwarte, L. (2018). Correlation Coefficients: Appropriate Use and Interpretation. Anesthesia & Analgesia, 126(5), 1763-1768. https://doi.org/10.1213/ANE.0000000000002864
  23. School, I.B. (n.d.). World Digital Competitiveness ranking. Retrieved from https://www.imd.org/centers/world-competitiveness-center/rankings/world-digital-competitiveness/ on March 6, 2023.
  24. Sokal, R.R., & Rohlf, F.J. (1962). The Comparison of Dendrograms by Objective Methods. Taxon, 11(2), 33-40. https://doi.org10.2307/1217208
  25. Stanisz, A. (2007). Przystępny kurs Statystyki z Zastosowaniem STATISTICA PL na Przykładach z Medycyny. Tom 3 Analizy Wielowymiarowe (An Accessible Course in Statistics Using STATISTICA PL with Examples from Medicine. Volume 3: Multivariate Analyses). Kraków, Poland: StatSoft Polska Sp. z o.o.
  26. Stankovic, J.J., Marjanovic, I., Drezgic, S., & Popovic, Z. (2021). The digital competitiveness of European countries: a multiple-criteria approach. Journal of Competitiveness, 13(2), 117-134. https://doi.org/10.7441/joc.2021.02.07
  27. Stolterman, E., & Fors, A.C. (2004). Information Technology and the Good Life. In Kaplan, B., Truex, D.P., Wastell, D., Wood-Harper, A.T., & DeGross, J.I. (Eds.). Information Systems Research: Relevant Theory and Informed Practice (pp. 687-692). Springer, Boston, MA. https://doi.org/10.1007/1-4020-8095-6_45
  28. Szeles, M.R. (2018). New insights from a multilevel approach to the regional digital divide in the European Union. Telecommunications Policy, 42, 452-463. https://doi.org/10.1016/j.telpol.2018.03.007
  29. van de Werfhorst, H.G., Kessenich, E., & Geven, S. (2022). The digital divide in online education: Inequality in digital readiness of students and schools. Computers and Education Open, 3. https://doi.org/10.1016/j.caeo.2022.100100
  30. van Dijk, J., & Hacker, K. (2003). The Digital Divide as a Complex and Dynamic Phenomenon. The Information Society, 19(4), 315-326. https://doi.org/10.1080/01972240309487
  31. van Dijk, J. (2020). The Digital Divide. John Wiley & Sons.
  32. Vuorikari, R.K. (2022, March). DigComp 2.2: The Digital Competence Framework for Citizens - With new examples of knowledge, skills and attitudes. JRC Research Reports. Retrieved from https://EconPapers.repec.org/RePEc:ipt:iptwpa:jrc128415 on March 6, 2023.
  33. Ward, J.H. (1963). Hierarchical Grouping to Optimize an Objective Function. Journal of the American Statistical Association, 58(301), 236-244. https://doi.org/10.1080/01621459.1963.10500845

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