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Impact analysis for national R&D funding in science and technology using quantification method II

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  • Choi, Jin Young
  • Lee, Jong Ha
  • Sohn, So Young

Abstract

As the influences of science and technology on its national economy have increased, each country has devised various funding programs for research and development (R&D) projects. Numerous studies have been conducted to evaluate the performance of such R&D projects. In most studies, the performances were measured in terms of an ordinal Likert scale, but they were treated as continuous variables. Much important information can be buried when a categorical Likert scale is treated as continuous variable. In this paper, we treat Likert scales as categorical and apply quantification method II to analyze the relationship between short- to mid-term performance factors and long-term impact factor of R&D projects. We apply the proposed approach to the survey data obtained from the Science and Technology Promotion Fund in Korea. The results of this paper are expected to contribute to a better understanding of the impact of R&D funding.

Suggested Citation

  • Choi, Jin Young & Lee, Jong Ha & Sohn, So Young, 2009. "Impact analysis for national R&D funding in science and technology using quantification method II," Research Policy, Elsevier, vol. 38(10), pages 1534-1544, December.
    • Handle: RePEc:eee:respol:v:38:y:2009:i:10:p:1534-1544
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    References listed on IDEAS

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    1. Sohn, S.Y. & Gyu Joo, Yong & Kyu Han, Hong, 2007. "Structural equation model for the evaluation of national funding on R&D project of SMEs in consideration with MBNQA criteria," Evaluation and Program Planning, Elsevier, vol. 30(1), pages 10-20, February.
    2. Belderbos, Rene & Carree, Martin & Lokshin, Boris, 2004. "Cooperative R&D and firm performance," Research Policy, Elsevier, vol. 33(10), pages 1477-1492, December.
    3. Belderbos, Rene & Carree, Martin & Lokshin, Boris, 2004. "Cooperative R&D and firm performance," Research Policy, Elsevier, vol. 33(10), pages 1477-1492, December.
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    Cited by:

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    2. Yonghan Ju & So Young Sohn, 2017. "Technology Credit Scoring Based on a Quantification Method," Sustainability, MDPI, vol. 9(6), pages 1-16, June.
    3. Margareta Stela FLORESCU & Alina ªtefania CREÞU, 2013. "Management of Financial Resources for Scientific Research in Universities in Romania," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 14(3), pages 415-424, July.
    4. Sung-Seok Ko & Namuk Ko & Doyeon Kim & Hyunseok Park & Janghyeok Yoon, 2014. "Analyzing technology impact networks for R&D planning using patents: combined application of network approaches," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 917-936, October.
    5. Balietti, Stefano & Riedl, Christoph, 2021. "Incentives, competition, and inequality in markets for creative production," Research Policy, Elsevier, vol. 50(4).
    6. Hyunseok Park & Janghyeok Yoon, 2014. "Assessing coreness and intermediarity of technology sectors using patent co-classification analysis: the case of Korean national R&D," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 853-890, February.
    7. Doh, Soogwan & Kim, Byungkyu, 2014. "Government support for SME innovations in the regional industries: The case of government financial support program in South Korea," Research Policy, Elsevier, vol. 43(9), pages 1557-1569.
    8. D. Thorleuchter & D. Van Den Poel, 2012. "Protecting Research and Technology from Espionage," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/824, Ghent University, Faculty of Economics and Business Administration.
    9. D. Thorleuchter & D. Van Den Poel, 2012. "Technology Classification with Latent Semantic Indexing," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/814, Ghent University, Faculty of Economics and Business Administration.

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