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Evaluating the distributional consequences of science and technology policies and programs

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  • Susan E Cozzens
  • Kamau Bobb
  • Isabel Bortagaray

Abstract

Most research evaluation has studied the process of innovation, not its outcomes in the wider society. Measurement of socioeconomic outcomes has focused on economic growth itself, rather than sustainable growth. The distributional consequences of S&T programs have been neglected. The authors of this article seek ways to design and evaluate S&T policies so that they reduce rather than increase inequalities. They present a framework for strengthening the use of research results through public institutions to spread benefits more widely. Copyright , Beech Tree Publishing.

Suggested Citation

  • Susan E Cozzens & Kamau Bobb & Isabel Bortagaray, 2002. "Evaluating the distributional consequences of science and technology policies and programs," Research Evaluation, Oxford University Press, vol. 11(2), pages 101-107, August.
    • Handle: RePEc:oup:rseval:v:11:y:2002:i:2:p:101-107
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    Citations

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    Cited by:

    1. Thanos Fragkandreas, 2021. "Innovation Systems and Income Inequality: In Search of Causal Mechanisms," Working Papers 56, Birkbeck Centre for Innovation Management Research, revised Nov 2021.
    2. Kroll, Henning & Hansmeier, Hendrik & Hufnagl, Miriam, 2022. "Productive interactions in basic research an enquiry into impact pathways at the DESY synchrotron," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    3. Dusan Lesjak, 2019. "Measuring Impacts of Science and Research on the Society: Development, Issues and Solutions," Management, University of Primorska, Faculty of Management Koper, vol. 14(3), pages 219-236.
    4. Zehavi, Amos & Breznitz, Dan, 2017. "Distribution sensitive innovation policies: Conceptualization and empirical examples," Research Policy, Elsevier, vol. 46(1), pages 327-336.
    5. Dan Breznitz & Amos Zehavi, 2013. "What Does Politics Have to Do with Innovation? Economic Distribution and Innovation Policy in OECD Countries," Carlo Alberto Notebooks 303, Collegio Carlo Alberto.
    6. Marius Bulearca & Catalin Popescu, 2017. "The Impact Of Science And Innovation Measurement In Economic Studies," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 122-127, December.
    7. Thomas Brenner & Carsten Emmrich & Charlotte Schlump, 2013. "Regional Effects of a Cluster-oriented policy measure. The Case of the InnoRegio program in Germany," Working Papers on Innovation and Space 2013-05, Philipps University Marburg, Department of Geography.
    8. Andrea Bonaccorsi & Filippo Chiarello & Gualtiero Fantoni, 2021. "Impact for whom? Mapping the users of public research with lexicon-based text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1745-1774, February.

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