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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

This paper presents a brief analysis of the current innovative capabilities of Georgia based on the Europe-Central Asia Innovative Capability Indicator (ECAICI). This composite indicator is constructed using factor analysis tools. Research reveals that innovative processes in the Europe-Central Asia (ECA) region (by the World Bank classification) are mainly affected by four unobservable factors: knowledge creation, economic sophistication, knowlege absorption-diffusion, and human capital production. We show that the ECAICI is closely related to other well-known innovation indicators and to GDP per capita. The ECAICI was used to analyze the innovative capability dynamics during 1996–2010. This study serves as an illustration for the use of the ECAICI as an instrument for innovative capability assessment and analysis in Georgia and other post-USSR countries

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  • Gogodze, Joseph, 2013. "Composite indicator ECAICI and positioning of Georgia’s innovative capacities in Europe-Central Asia Region," MPRA Paper 50892, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:50892
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    Cited by:

    1. Shaqir Elezaj & Vehbi Ramaj & Ramë Elezaj, 2023. "The Role of Innovation and Branding on Enterprise Sales Growth in Transition Countries," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 12, May.

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    More about this item

    Keywords

    National innovation systems; Developing countries; Countries in transition; Composite indicator; Factor analysis;
    All these keywords.

    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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