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The theory and practice of public-sector R&D economic impact analysis

In: Handbook on the Theory and Practice of Program Evaluation

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  • Albert N. Link
  • John T. Scott

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

  • Albert N. Link & John T. Scott, 2013. "The theory and practice of public-sector R&D economic impact analysis," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 2, pages 15-55, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14384_2
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    References listed on IDEAS

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    1. Link, Albert N. & Scott, John T., 2001. "Public/private partnerships: stimulating competition in a dynamic market," International Journal of Industrial Organization, Elsevier, vol. 19(5), pages 763-794, April.
    2. Link, Albert N. & Scott, John T., 2011. "Public Goods, Public Gains: Calculating the Social Benefits of Public R&D," OUP Catalogue, Oxford University Press, number 9780199729685.
    3. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 91(2), pages 221-240.
    4. Adam B. Jaffe, 2002. "Building Programme Evaluation into the Design of Public Research-Support Programmes," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(1), pages 22-34, Spring.
    5. Martin, Stephen & Scott, John T., 2000. "The nature of innovation market failure and the design of public support for private innovation," Research Policy, Elsevier, vol. 29(4-5), pages 437-447, April.
    6. Zvi Griliches, 1958. "Research Costs and Social Returns: Hybrid Corn and Related Innovations," Journal of Political Economy, University of Chicago Press, vol. 66(5), pages 419-419.
    7. David Leech & John Scott, 2008. "Intelligent Machine Technology And Productivity Growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 17(7-8), pages 677-687.
    8. Gregory Tassey, 2007. "The Technology Imperative," Books, Edward Elgar Publishing, number 4229.
    9. Doris Schartinger, 2001. "Benchmarking industry—science relations: the role of framework conditions," Science and Public Policy, Oxford University Press, vol. 28(4), pages 247-258, August.
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    Citations

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    Cited by:

    1. Lutz Bornmann, 2013. "What is societal impact of research and how can it be assessed? a literature survey," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(2), pages 217-233, February.
    2. Link, Albert, 2018. "The Theory and Practice of Program Evaluation," UNCG Economics Working Papers 18-3, University of North Carolina at Greensboro, Department of Economics.
    3. Alan C. O'Connor & Albert N. Link & Brandon M. Downs & Laura M. Hillier, 2015. "The impact of public investment in medical imaging technology: an interagency collaboration in evaluation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(5), pages 510-531, July.
    4. Stuart D. Allen & Stephen K. Layson & Albert N. Link, 2013. "Public gains from entrepreneurial research: Inferences about the economic value of public support of the Small Business Innovation Research program," Chapters, in: Public Support of Innovation in Entrepreneurial Firms, chapter 6, pages 105-112, Edward Elgar Publishing.
    5. Albert N. Link & John T. Scott, 2012. "On the social value of quality: An economic evaluation of the Baldrige Performance Excellence Program," Science and Public Policy, Oxford University Press, vol. 39(5), pages 680-689, July.
    6. David P. Leech & John T. Scott, 2017. "Nanotechnology documentary standards," The Journal of Technology Transfer, Springer, vol. 42(1), pages 78-97, February.
    7. Albert N. Link & John T. Scott, 2019. "The economic benefits of technology transfer from U.S. federal laboratories," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1416-1426, October.
    8. Albert N. Link & John T. Scott, 2021. "Scientific publications at U.S. federal research laboratories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2227-2248, March.
    9. Gregory Tassey, 2014. "Competing in Advanced Manufacturing: The Need for Improved Growth Models and Policies," Journal of Economic Perspectives, American Economic Association, vol. 28(1), pages 27-48, Winter.
    10. Tse, Caleb H. & Yim, Chi Kin Bennett & Yin, Eden & Wan, Feng & Jiao, Hao, 2021. "R&D activities and innovation performance of MNE subsidiaries: The moderating effects of government support and entry mode," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    11. Hall, Michael J. & Layson, Stephen K. & Link, Albert N., 2013. "The Division of Policy Research and Analysis at the National Science Foundation: Its Support of Research on the Returns to R&D," UNCG Economics Working Papers 13-6, University of North Carolina at Greensboro, Department of Economics.

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