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Measuring National Innovation Systems Efficiency - A Review of DEA Approach

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  • Maxim Kotsemir

    (ISSEK - Institute for Statistical Studies and Economics of Knowledge - State University Higher School of Economics)

Abstract

Take full free-available version of this paper on http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2304735 The paper reviews the application of the data envelopment analysis (DEA) method for measuring the efficiency of national innovation systems (NIS). The paper firstly visualizes the logic of DEA method and briefly summarizes the key advantages and main limitations of the DEA method. Further, this paper provides a comprehensive review of 11 empirical studies on cross-country analysis of NIS efficiency with DEA technique. In its main part the paper analyses the specifications of DEA models used in the reviewed studies, the content of the country samples, sets of input and output variables used and the resulting lists of efficient countries. The review detects general trends and differences in the sets of variables and the content of country samples. Moreover, this paper highlights the problem of "small countries bias" in the reviewed studies: situation when "small" (in terms of national innovation system scope and the level of development) countries (like Venezuela, Kyrgyzstan etc.) are included in the country sample, these "small" countries become the efficient ones. In general, empirical studies on cross-country analysis of national innovation systems efficiency using DEA method pay little attention to profound analysis of previous relevant studies. Therefore, this paper is among the first papers with deep review of such empirical studies.

Suggested Citation

  • Maxim Kotsemir, 2013. "Measuring National Innovation Systems Efficiency - A Review of DEA Approach," Post-Print hal-00865875, HAL.
    • Handle: RePEc:hal:journl:hal-00865875
    DOI: 10.2139/ssrn.2304735
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    References listed on IDEAS

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    1. Ta-Wei Pan & Shiu-Wan Hung & Wen-Min Lu, 2010. "Dea Performance Measurement Of The National Innovation System In Asia And Europe," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 27(03), pages 369-392.
    2. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
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    7. Astrid Cullmann & Jens Schmidt-Ehmcke & Petra Zloczysti, 2009. "Innovation, R&D Efficiency and the Impact of the Regulatory Environment: A Two-Stage Semi-Parametric DEA Approach," Discussion Papers of DIW Berlin 883, DIW Berlin, German Institute for Economic Research.
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    Citations

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    Cited by:

    1. Alexandru FOTIA & Cezar TECLEAN, 2019. "The Innovation Efficiency In Central And Eastern Europe – An Input-Output Comparative Analysis Between Czech Republic, Hungary, Poland And Romania," EURINT, Centre for European Studies, Alexandru Ioan Cuza University, vol. 6, pages 269-287.
    2. Jürgen Janger & Agnes Kügler, 2018. "Innovationseffizienz. Österreich im internationalen Vergleich," WIFO Studies, WIFO, number 61111, April.
    3. Munshi Naser Ibne Afzal, 2014. "An empirical investigation of the National Innovation System (NIS) using Data Envelopment Analysis (DEA) and the TOBIT model," International Review of Applied Economics, Taylor & Francis Journals, vol. 28(4), pages 507-523, July.
    4. Yung-Lun Liu & Pen-Fa Ko & Jui-Te Chiang, 2021. "Developing an Evaluation Model for Monitoring Country-Based Tourism Competitiveness," SAGE Open, , vol. 11(3), pages 21582440211, September.
    5. Alessandro Fiorini, 2016. "Technical efficiency in a technological innovation system perspective: The case of bioenergy technologies R&D resources mobilisation in a sample from EU-28," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2016(2), pages 107-127.
    6. Peter Adamovský & Vladimír Gonda, 2019. "Rozdiely v efektívnosti inovačných systémov Slovenska a vybraných krajín Európskej únie [Differences in Efficiency of National Innovation Systems of Slovakia and Selected EU Countries]," Politická ekonomie, Prague University of Economics and Business, vol. 2019(2), pages 181-197.
    7. Stepan Zemtsov & Maxim Kotsemir, 2019. "An assessment of regional innovation system efficiency in Russia: the application of the DEA approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(2), pages 375-404, August.

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    More about this item

    Keywords

    data envelopment analysis; DEA; national innovation systems; national innovation system efficiency; economic review; efficiency analysis; review of empirical studies;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • P49 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Other
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems
    • P52 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Studies of Particular Economies
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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