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Convergence patterns in global ICT: Fresh insights from a club clustering algorithm

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  • Saba, Charles Shaaba
  • David, Oladipo Olalekan

Abstract

Digital provide consists of electronic media, telecommunications, and computer technologies – information and communication technologies (ICTs) availability, accessibility, and utilisation, which simplifies process. The convergence of ICTs ensures efficiency in resources allocation and promotes system growth. This study examines the convergence in global information and communication technologies (ICT) development for 205 countries spanning 2000–2018. We employ the Phillips and Sul econometric methodology, which tests for the existence of convergence clubs and the modelling of different transition paths to convergence. We further disaggregated our panel data into nine regions. We constructed an ICT development index (comprising of mobile line, fixed line, and internet access penetration) via principal component analysis. Our findings suggest the presence of panel convergence at the global and regional levels (except for Sub-Saharan Africa and South Asia, which exhibited divergence). However, we identified convergence clubs using an iterative testing procedure. The key findings from the club convergence algorithm results suggest that: (i) at the global level, club 1 converges; (ii) at regional levels, Sub-Saharan Africa forms 7 clubs; (iii) clubs 1 in the remaining 8 regions converged. Contrary to previous findings, this study finds that the process of convergence in ICT development reflects the desirable emanations of telecommunication policies sharing similar characteristics, at least to some extent, in terms of the ICT sharing across the globe.

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  • Saba, Charles Shaaba & David, Oladipo Olalekan, 2020. "Convergence patterns in global ICT: Fresh insights from a club clustering algorithm," Telecommunications Policy, Elsevier, vol. 44(10).
  • Handle: RePEc:eee:telpol:v:44:y:2020:i:10:s0308596120301026
    DOI: 10.1016/j.telpol.2020.102010
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    Cited by:

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    3. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, October.
    4. Antonio Rodríguez Andrés & Voxi Heinrich S. Amavilah & Abraham Otero, 2021. "Evaluation of technology clubs by clustering: a cautionary note," Applied Economics, Taylor & Francis Journals, vol. 53(52), pages 5989-6001, November.
    5. Saba, Charles Shaaba, 2021. "Convergence and transition paths in transportation: Fresh insights from a club clustering algorithm," Transport Policy, Elsevier, vol. 112(C), pages 80-93.
    6. Charles Shaaba Saba & Nicholas Ngepah, 2022. "ICT Diffusion, Industrialisation and Economic Growth Nexus: an International Cross-country Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(3), pages 2030-2069, September.
    7. Saba Charles Shaaba, 2022. "Defence Spending and Economic Growth in South Africa: Evidence from Cointegration and Co-Feature Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(1), pages 51-100, February.
    8. Walheer, Barnabé, 2023. "Meta-frontier and technology switchers: A nonparametric approach," European Journal of Operational Research, Elsevier, vol. 305(1), pages 463-474.
    9. Junmei Zhang & Iftikhar Yasin, 2024. "Greening the BRICS: How Green Innovation Mitigates Ecological Footprints in Energy-Hungry Economies," Sustainability, MDPI, vol. 16(10), pages 1-24, May.
    10. Ho, Chun-Yu & Narins, Thomas P. & Sung, Won, 2023. "Developing information and communication technology with the belt and road initiative and the digital silk road," Telecommunications Policy, Elsevier, vol. 47(10).

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    More about this item

    Keywords

    Information and communication technology; Convergence club; Log t regression test; Club merging; Principal component analysis; Regional groupings;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O50 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - General

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