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Structural equation model with PLS path modeling for an integrated system of publicly funded basic research

Author

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  • Jiancheng Guan

    (Fudan University)

  • Nan Ma

    (Beijing University of Aeronautics and Astronautics)

Abstract

This study develops and tests an integrated conceptual model of basic research evaluation from a varying perspective. The main objective is to obtain a more complete understanding of the external factors affecting the publicly fund basic research in a country. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is used to test the conceptual model with empirical data collected from WCY (World Competitiveness Yearbook) and ESI (Essential Science Indicators) database. Interrelationships among the research output and outcome, together with three external factors (resource, impetus, accumulative advantage) have been successfully explored and the conceptual model of journal evaluation has been examined.

Suggested Citation

  • Jiancheng Guan & Nan Ma, 2009. "Structural equation model with PLS path modeling for an integrated system of publicly funded basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(3), pages 683-698, December.
  • Handle: RePEc:spr:scient:v:81:y:2009:i:3:d:10.1007_s11192-009-2058-7
    DOI: 10.1007/s11192-009-2058-7
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    References listed on IDEAS

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    1. Cozzens, Susan E., 1997. "The knowledge pool: Measurement challenges in evaluating fundamental research programs," Evaluation and Program Planning, Elsevier, vol. 20(1), pages 77-89, February.
    2. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
    3. Chaves, Catari Vilela & Moro, Sueli, 2007. "Investigating the interaction and mutual dependence between science and technology," Research Policy, Elsevier, vol. 36(8), pages 1204-1220, October.
    4. Anthony F J van Raan, 1993. "Advanced bibliometric methods to assess research performance and scientific development: basic principles and recent practical applications," Research Evaluation, Oxford University Press, vol. 3(3), pages 151-166, December.
    5. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    6. 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.
    7. Dominique Guellec & Bruno Van Pottelsberghe de la Potterie, 2004. "From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 353-378, July.
    8. Adams, James D, 1990. "Fundamental Stocks of Knowledge and Productivity Growth," Journal of Political Economy, University of Chicago Press, vol. 98(4), pages 673-702, August.
    9. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    10. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    11. Mansfield, Edwin, 1992. "Academic research and industrial innovation: A further note," Research Policy, Elsevier, vol. 21(3), pages 295-296, June.
    12. Phillimore, A. J., 1989. "University research performance indicators in practice: The University Grants Committee's evaluation of British universities, 1985-86," Research Policy, Elsevier, vol. 18(5), pages 255-271, October.
    13. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    14. Francis Narin & Dominic Olivastro & Kimberly A. Stevens, 1994. "Bibliometrics/Theory, Practice and Problems," Evaluation Review, , vol. 18(1), pages 65-76, February.
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    Cited by:

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    2. Xinhua Zhu & Yigang Wei & Yani Lai & Yan Li & Sujuan Zhong & Chun Dai, 2019. "Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    3. Jiancheng Guan & Yan Yan & Jingjing Zhang, 2015. "How do collaborative features affect scientific output? Evidences from wind power field," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 333-355, January.
    4. Tang Yao & Yigang Wei & Jianhong Zhang & Yani Wang & Yunjiang Yu & Wenyang Huang, 2022. "What influences the urban sewage discharge in China? The effect of diversified factors on the urban sewage discharge in different regions of China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6099-6135, May.
    5. Cui Huang & Jun Su & Xiang Xie & Jiang Li, 2014. "Basic research is overshadowed by applied research in China: a policy perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(3), pages 689-694, June.
    6. Chen, Kaihua & Guan, Jiancheng, 2011. "Mapping the functionality of China's regional innovation systems: A structural approach," China Economic Review, Elsevier, vol. 22(1), pages 11-27, March.

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