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Evaluating cooperative research centers: a strategy for assessing proximal and distal outcomes and associated economic impacts

In: Handbook on the Theory and Practice of Program Evaluation

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  • Drew Rivers
  • Denis O. Gray

Abstract

As this volume demonstrates, a wide variety of methodologies exist to evaluate particularly the objectives and outcomes of research and development programs. These include surveys, statistical and econometric estimations, patent analyses, bibliometrics, scientometrics, network analyses, case studies, and historical tracings. Contributors divide these and other methods and applications into four categories – economic, non-economic, hybrid and data-driven – in order to discuss the many factors that affect the utility of each technique and how that impacts the technological, economic and societal forecasts of the programs in question.

Suggested Citation

  • Drew Rivers & Denis O. Gray, 2013. "Evaluating cooperative research centers: a strategy for assessing proximal and distal outcomes and associated economic impacts," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 10, pages 291-320, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14384_10
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    References listed on IDEAS

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    1. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
    2. Behrens, Teresa R. & Gray, Denis O., 2001. "Unintended consequences of cooperative research: impact of industry sponsorship on climate for academic freedom and other graduate student outcome," Research Policy, Elsevier, vol. 30(2), pages 179-199, February.
    3. David Roessner & Lynne Manrique & Jongwon Park, 2010. "The economic impact of engineering research centers: preliminary results of a pilot study," The Journal of Technology Transfer, Springer, vol. 35(5), pages 475-493, October.
    4. Craig Boardman & Denis Gray, 2010. "The new science and engineering management: cooperative research centers as government policies, industry strategies, and organizations," The Journal of Technology Transfer, Springer, vol. 35(5), pages 445-459, October.
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    Cited by:

    1. Denis Gray & Lindsey McGowen & Timothy L. Michaelis & Olena Leonchuk & Drew Rivers, 2022. "A policy mix experiment to promote start-up success: exploratory evaluation of the NSF Small Business Innovation Research (SBIR)/Industry University Cooperative Research Center (IUCRC) membership supp," The Journal of Technology Transfer, Springer, vol. 47(1), pages 176-212, February.

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