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Totalized input–output assessment of research productivity of nations using multi-dimensional input and output

Author

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  • Gangan Prathap

    (Vidya Academy of Science and Technology
    APJ Abdul Kalam Technological University)

Abstract

Research evaluation is a multi-dimensional problem as there are multiple input dimensions, multiple output dimensions and a country space of many dimensions. The data making the connections are usually available in matrix form. In this paper, we use matrix normalization and multiplication so that totalized input and output measures can be obtained. This facilitates comparative research evaluation. The US and Japan lead as the major players when patents and papers are jointly considered. Most of the countries considered register totalized output that is commensurate with totalized input. Three countries are seen to be falling short of this ideal: China, Russia and Mexico.

Suggested Citation

  • Gangan Prathap, 2018. "Totalized input–output assessment of research productivity of nations using multi-dimensional input and output," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(1), pages 577-583, April.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:1:d:10.1007_s11192-017-2605-6
    DOI: 10.1007/s11192-017-2605-6
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    References listed on IDEAS

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    1. C. Ramanujacharyulu, 1964. "Analysis of preferential experiments," Psychometrika, Springer;The Psychometric Society, vol. 29(3), pages 257-261, September.
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    More about this item

    Keywords

    Comparative research evaluation; Matrix operations; Input; Output; Productivity;
    All these keywords.

    JEL classification:

    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions

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