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Tackling undue concentration of federal research funding: An empirical assessment on NSF's Experimental Program to Stimulate Competitive Research (EPSCoR)

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  • Wu, Yonghong

Abstract

This empirical study focuses on NSF's Experimental Program to Stimulate Competitive Research (EPSCoR) and its effect on a state's share of federal academic science and engineering (S&E) support to higher education institutions. Based on a panel of 50 states in period 1979-2006, the statistical results suggest that EPSCoR may have enhanced research capacity and competitiveness of EPSCoR states as reflected in a significant and positive effect of state's tenure in the program. The small effect of EPSCoR indicates that enhanced and more innovative efforts are needed in order to effectively tackle undue concentration of federal S&E support.

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  • Wu, Yonghong, 2010. "Tackling undue concentration of federal research funding: An empirical assessment on NSF's Experimental Program to Stimulate Competitive Research (EPSCoR)," Research Policy, Elsevier, vol. 39(6), pages 835-841, July.
  • Handle: RePEc:eee:respol:v:39:y:2010:i:6:p:835-841
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    References listed on IDEAS

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    1. Yonghong Wu, 2009. "NSF's Experimental Program to Stimulate Competitive Research (EPSCoR): Subsidizing academic research or state budgets?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(3), pages 479-495.
    2. Unknown, 2007. "NAREA Awards," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(2), pages 1-6.
    3. James S Dietz, 2000. "Building a social capital model of research development: The case of the Experimental Program to Stimulate Competitive Research," Science and Public Policy, Oxford University Press, vol. 27(2), pages 137-145, April.
    4. J. Scott Hauger, 2004. "From Best Science Toward Economic Development: The Evolution of NSF’s Experimental Program to Stimulate Competitive Research (EPSCoR)," Economic Development Quarterly, , vol. 18(2), pages 97-112, May.
    5. Bozeman, Barry & Corley, Elizabeth, 2004. "Scientists' collaboration strategies: implications for scientific and technical human capital," Research Policy, Elsevier, vol. 33(4), pages 599-616, May.
    6. Julia Melkers & Yonghong Wu, 2009. "Evaluating the Improved Research Capacity of EPSCoR States: R&D Funding and Collaborative Networks in the NSF EPSCoR Program," Review of Policy Research, Policy Studies Organization, vol. 26(6), pages 761-782, November.
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    Cited by:

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    4. Jeffrey M. Keisler & Christy M. Foran & Maija M. Kuklja & Igor Linkov, 2017. "Undue concentration of research and education: multi-criteria decision approach to assess jurisdiction eligibility for NSF funding," Environment Systems and Decisions, Springer, vol. 37(3), pages 367-378, September.
    5. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.
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    7. Rodríguez-Pose, Andrés & Crescenzi, Riccardo, 2012. "R&D, Socio-Economic Conditions and Regional Innovation in the United States," CEPR Discussion Papers 9265, C.E.P.R. Discussion Papers.
    8. Riccardo Crescenzi & Andrés Rodríguez-Pose, 2013. "R&D, Socio-Economic Conditions, and Regional Innovation in the U.S," Growth and Change, Wiley Blackwell, vol. 44(2), pages 287-320, June.
    9. Jianping Li & Yongjia Xie & Dengsheng Wu & Yuanping Chen, 2017. "Underestimating or overestimating the distribution inequality of research funding? The influence of funding sources and subdivision," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(1), pages 55-74, July.

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