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Factors affecting the efficiency of the BRICSs' national innovation systems: A comparative study based on DEA and Panel Data Analysis

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  • Cai, Yuezhou

Abstract

Efficiency scores of the National Innovation System (NIS) for 22 countries, including the BRICS, G7, are calculated with the Data Envelopment Analysis (DEA). Relevant factors that may affect the innovation system efficiency are summarized based on the NIS Approach and the New Growth Theory. Empirical study is further made with the Panel Data Analysis (PDA) and the Principal Component Analysis. The results of efficiency calculation and empirical test show that: (1) The BRICS differ greatly in the efficiency of NIS, with China, India and Russia ranking fairly high, and Brazil, South Africa among the few bottom; (2) The influencing factors involve a lot of elements, including the ICT infrastructure, enterprise R&D, market environment, government governance, education system, economic scale, natural endowments, external dependence, which is conformed to the NIS approach and New Growth Theory; (3) Enterprises innovation activities are of key importance to the NIS. To improve the efficiency of the innovation system, efforts should be made to improve the market circumstance, governance, and financial structure, and create a sound environment for innovation. (4) ICT infrastructure, economic scale and openness affect the diffusion of knowledge and technology, and in turn the NIS efficiency. (5) The BRICS have characters of low governance level and high natural resources dependency in common, which is determined by their developing stage and extensive growth pattern. To avoid the so called middle-income trap in the coming future, the BRICS should dedicate to transform the factor-driven pattern to an innovation-driven one. As for China, there is still much to be improved in the fields of ICT infrastructure, government governance, education system. During the 12th Planning, more efforts should be put into these fields and make better external conditions for innovation activities.

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  • Cai, Yuezhou, 2011. "Factors affecting the efficiency of the BRICSs' national innovation systems: A comparative study based on DEA and Panel Data Analysis," Economics Discussion Papers 2011-52, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwedp:201152
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    References listed on IDEAS

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    1. Freeman, Chris, 2002. "Continental, national and sub-national innovation systems--complementarity and economic growth," Research Policy, Elsevier, vol. 31(2), pages 191-211, February.
    2. Barbara Casu & Philip Molyneux, 2003. "A comparative study of efficiency in European banking," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1865-1876.
    3. Richard Nelson, 2008. "Economic Development from the Perspective of Evolutionary Economic Theory," Oxford Development Studies, Taylor & Francis Journals, vol. 36(1), pages 9-21.
    4. Hu, Mei-Chih & Mathews, John A., 2005. "National innovative capacity in East Asia," Research Policy, Elsevier, vol. 34(9), pages 1322-1349, November.
    5. Hoff, Ayoe, 2007. "Second stage DEA: Comparison of approaches for modelling the DEA score," European Journal of Operational Research, Elsevier, vol. 181(1), pages 425-435, August.
    6. Liu, Xielin & White, Steven, 2001. "Comparing innovation systems: a framework and application to China's transitional context," Research Policy, Elsevier, vol. 30(7), pages 1091-1114, August.
    7. Guan, Jian Cheng & Yam, Richard C.M. & Mok, Chiu Kam & Ma, Ning, 2006. "A study of the relationship between competitiveness and technological innovation capability based on DEA models," European Journal of Operational Research, Elsevier, vol. 170(3), pages 971-986, May.
    8. Furman, Jeffrey L. & Porter, Michael E. & Stern, Scott, 2002. "The determinants of national innovative capacity," Research Policy, Elsevier, vol. 31(6), pages 899-933, August.
    9. Thomas, V.J. & Sharma, Seema & Jain, Sudhir K., 2011. "Using patents and publications to assess R&D efficiency in the states of the USA," World Patent Information, Elsevier, vol. 33(1), pages 4-10, March.
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    Cited by:

    1. 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.
    2. Pawel Dobrzanski & Sebastian Bobowski, 2020. "The Efficiency of R&D Expenditures in ASEAN Countries," Sustainability, MDPI, vol. 12(7), pages 1-26, March.
    3. Martina Halaskova & Beata Gavurova & Kristina Kocisova, 2020. "Research and Development Efficiency in Public and Private Sectors: An Empirical Analysis of EU Countries by Using DEA Methodology," Sustainability, MDPI, vol. 12(17), pages 1-22, August.
    4. Milica Jovanović & Gordana Savić & Yuzhuo Cai & Maja Levi-Jakšić, 2022. "Towards a Triple Helix based efficiency index of innovation systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2577-2609, May.

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    More about this item

    Keywords

    The BRICS; National Innovation System (NIS); NIS efficiency; Data Envelopment Analysis (DEA); Panel Data Analysis (PDA);
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • P52 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Studies of Particular Economies

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