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Who leads Research Productivity Change? Guidelines for R&D policy makers

Author

Listed:
  • Jiménez-Sáez, Fernando

    (INGENIO (CSIC-UPV), Institute of Innovation and Knowledge Management, Univ. Polytechnic of Valencia)

  • Zabala, Jon Mikel

    (CIRCLE, Lund University)

  • Zofío, José L.

    (Department of Economic Analysis, Autonomous University of Madrid, Spain)

Abstract

Relying on efficiency analysis we evaluate to what extent policy makers have been able to promote the establishment of consolidated and comprehensive research groups to contribute to the implementation of a successful innovation system for the Spanish food technology sector, oriented to the production of knowledge based on an application model. Using data envelopment analysis techniques and Malmquist productivity indices we find pervasive levels of inefficiency and a typology of different research strategies. Among these, in contrast to what has been assumed, established groups do not play the pre-eminent benchmarking role; rather, partially oriented, specialized and "shooting star" groups are the most common patterns. These results correspond with an infant innovation system, where the fostering of higher levels of efficiency and promotion of the desired research patterns are ongoing.

Suggested Citation

  • Jiménez-Sáez, Fernando & Zabala, Jon Mikel & Zofío, José L., 2010. "Who leads Research Productivity Change? Guidelines for R&D policy makers," Papers in Innovation Studies 2010/10, Lund University, CIRCLE - Centre for Innovation Research.
    • Handle: RePEc:hhs:lucirc:2010_010
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    References listed on IDEAS

    as
    1. Jiménez-Sáez, Fernando & Zabala-Iturriagagoitia, Jon Mikel & Zofío, José L. & Castro-Martínez, Elena, 2011. "Evaluating research efficiency within National R&D Programmes," Research Policy, Elsevier, vol. 40(2), pages 230-241, March.
    2. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181.
    3. Anthony F J van Raan, 2000. "R&D evaluation at the beginning of the new century," Research Evaluation, Oxford University Press, vol. 9(2), pages 81-86, August.
    4. Lee, Ting-Lin & von Tunzelmann, Nick, 2005. "A dynamic analytic approach to national innovation systems: The IC industry in Taiwan," Research Policy, Elsevier, vol. 34(4), pages 425-440, May.
    5. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    6. Ballesteros, Juan Acosta & Rico, Aurelia Modrego, 2001. "Public financing of cooperative R&D projects in Spain: the Concerted Projects under the National R&D Plan," Research Policy, Elsevier, vol. 30(4), pages 625-641, April.
    7. E. Grifell-Tatjé & C. Lovell, 1999. "A generalized Malmquist productivity index," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 81-101, June.
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    Cited by:

    1. Kairui Zuo & Jiancheng Guan, 2017. "Measuring the R&D efficiency of regions by a parallel DEA game model," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 175-194, July.
    2. Jiancheng Guan & Kairui Zuo, 2014. "A cross-country comparison of innovation efficiency," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 541-575, August.

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    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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