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A Comparative Analysis Of Serbia And The Eu Member States In The Context Of The Networked Readiness Index Values

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  • Jasna Soldić-Aleksić
  • Rade Stankić

Abstract

Nowadays it is generally accepted that information and communication technologies (ICT) are important drivers and ‘enabling’ technologies that have a broad impact on many sectors of the economy and social life. Therefore, measuring the level of ICT development, their economic and social impact, and the country’s readiness to use them are of great importance. In this paper we present the conceptual framework of the Networked Readiness Index (NRI) proposed by the World Economic Forum, and analyse the relative position of Serbia and its ‘distance’ from the EU member states in the domain of NRI indicator variables. For this purpose we have applied the Kohonen Self-Organizing Map (the SOM algorithm), which provides the visual image, as a virtual map, of observed countries and their groupings. The resulting SOM map indicates that in the complex NRI space, Serbia is located in a group of EU states that includes Romania, Croatia, Bulgaria, Cyprus, Greece, Italy, Poland, the Czech Republic, and the Slovak Republic. In comparison to other countries, this group shows the poorest performance in the NRI landscape. In addition, our empirical analysis points to the areas in which policy intervention can boost the impact of ICT on Serbian economic development and growth.

Suggested Citation

  • Jasna Soldić-Aleksić & Rade Stankić, 2015. "A Comparative Analysis Of Serbia And The Eu Member States In The Context Of The Networked Readiness Index Values," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(206), pages 45-86, July - Se.
    • Handle: RePEc:beo:journl:v:60:y:2015:i:206:p:45-86
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    References listed on IDEAS

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    1. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2013. "High Performance in Complex Spatial Systems: A Self-Organizing Mapping Approach with Reference to The Netherlands," Tinbergen Institute Discussion Papers 13-194/VIII, Tinbergen Institute.
    2. M. Gligor & M. Ausloos, 2007. "Cluster structure of EU-15 countries derived from the correlation matrix analysis of macroeconomic index fluctuations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 57(2), pages 139-146, May.
    3. M. Gligor & M. Ausloos, 2008. "Clusters in weighted macroeconomic networks: the EU case. Introducing the overlapping index of GDP/capita fluctuation correlations," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 63(4), pages 533-539, June.
    4. Gligor, Mircea & Ausloos, Marcel, 2008. "Convergence and Cluster Structures in EU Area according to Fluctuations in Macroeconomic Indices," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 23, pages 297-330.
    5. Karima Kourtit & Daniel Arribas-Bel & Peter Nijkamp, 2012. "High performers in complex spatial systems: a self-organizing mapping approach with reference to The Netherlands," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 501-527, April.
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    Cited by:

    1. Bukvić, Rajko, 2021. "Оценка Состояния И Перспективы Цифровой Трансформации Экономики Сербии [Assessment of the Status and Prospects of the Digital Transformation of Serbian Economy)]," MPRA Paper 108981, University Library of Munich, Germany, revised 2021.
    2. Bukvić, Rajko, 2022. "Дигитална Економија У Србији: Резултати И Перспективе [Digital Economy in Serbia: Results and Prospects]," MPRA Paper 112802, University Library of Munich, Germany, revised 2022.
    3. Bukvić, Rajko & Petrović, Dragan, 2021. "Manufacturing and Information Society in Serbia: Current Status and Prospects," MPRA Paper 109550, University Library of Munich, Germany, revised 2021.

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    More about this item

    Keywords

    information and communication technologies; Networked Readiness Index; economic development; Kohonen Self-Organizing map; data visualization; clustering;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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