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Measuring the efficiency of digital convergence

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  • Mitrović, Đorđe

Abstract

The paper suggests the use of data envelopment analysis (DEA) and Malmquist productivity index for keeping up with the trends in digital economy development effectiveness in the European countries. We show that Central and Eastern Europe countries converge to the EU average concerning the level of digital economy development, while digital divide exists between the EU and the Western Balkan countries.

Suggested Citation

  • Mitrović, Đorđe, 2020. "Measuring the efficiency of digital convergence," Economics Letters, Elsevier, vol. 188(C).
  • Handle: RePEc:eee:ecolet:v:188:y:2020:i:c:s0165176520300252
    DOI: 10.1016/j.econlet.2020.108982
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    References listed on IDEAS

    as
    1. Kongaut, Chatchai & Bohlin, Erik, 2014. "Impact of broadband speed on economic outputs: An empirical study of OECD countries," 25th European Regional ITS Conference, Brussels 2014 101415, International Telecommunications Society (ITS).
    2. Nina Czernich & Oliver Falck & Tobias Kretschmer & Ludger Woessmann, 2011. "Broadband Infrastructure and Economic Growth," Economic Journal, Royal Economic Society, vol. 121(552), pages 505-532, May.
    3. Joe Zhu, 2014. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Quantitative Models for Performance Evaluation and Benchmarking, edition 3, chapter 1, pages 1-9, Springer.
    4. Koutroumpis, Pantelis, 2009. "The economic impact of broadband on growth: A simultaneous approach," Telecommunications Policy, Elsevier, vol. 33(9), pages 471-485, October.
    5. Cook, Wade D. & Tone, Kaoru & Zhu, Joe, 2014. "Data envelopment analysis: Prior to choosing a model," Omega, Elsevier, vol. 44(C), pages 1-4.
    6. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Economic growth; Digital convergence; Data envelopment analysis; Malmquist productivity index;
    All these keywords.

    JEL classification:

    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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