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Composite indicator ECAICI and positioning of Georgia’s innovative capacities in Europe-Central Asia Region

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  • Gogodze, Joseph

Abstract

ECAICI indicator introduced in the present article enables to analyze innovative capacities dynamics of the ECA region (by The World Bank classification) countries in 1996-2010. Thorough research reveals four leading unobservable factors, affecting innovative processes in ECA region. These factors may be referred as Knowledge creation, Economy sophistication, Knowlege Absorption-Diffusion, Human Capital Production. We show that there is a close link between ECAICI indicator and other well-known innovation indicators and show also that there is a close link between ECAICI indicator and GDP per capita. Indicator ECAICI may be applied as an instrument for innovative capacities assessment and analysis. Presented brief analysis of current innovative capacities of Georgia, carried out by means of this indicator serves as illustration of the fact. ECAICI indicator may prove to be useful and interesting also for other post-USSR countries.

Suggested Citation

  • Gogodze, Joseph, 2013. "Composite indicator ECAICI and positioning of Georgia’s innovative capacities in Europe-Central Asia Region," MPRA Paper 43921, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:43921
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    References listed on IDEAS

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    1. Giuseppe Nicoletti & Stefano Scarpetta & Olivier Boylaud, 2000. "Summary Indicators of Product Market Regulation with an Extension to Employment Protection Legislation," OECD Economics Department Working Papers 226, OECD Publishing.
    2. Michela Nardo & Michaela Saisana & Andrea Saltelli & Stefano Tarantola & Anders Hoffman & Enrico Giovannini, 2005. "Handbook on Constructing Composite Indicators: Methodology and User Guide," OECD Statistics Working Papers 2005/3, OECD Publishing.
    3. Archibugi, Daniele & Coco, Alberto, 2005. "Measuring technological capabilities at the country level: A survey and a menu for choice," Research Policy, Elsevier, vol. 34(2), pages 175-194, March.
    4. Archibugi, Daniele & Coco, Alberto, 2004. "A New Indicator of Technological Capabilities for Developed and Developing Countries (ArCo)," World Development, Elsevier, vol. 32(4), pages 629-654, April.
    5. Arabella Bhutto & Pir Irfanullah Rashdi & Qazi Moinuddin Abro, 2012. "Indicators for science and technology policy in Pakistan: Entering the science, technology and innovation paradigm," Science and Public Policy, Oxford University Press, vol. 39(1), pages 1-12, January.
    6. Honaker, James & King, Gary & Blackwell, Matthew, 2011. "Amelia II: A Program for Missing Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i07).
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    Keywords

    National innovation systems; Developing countries; Countries in transition; Composite indicator; Factor analysis;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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