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Yonghong Wu

Personal Details

First Name:Yonghong
Middle Name:
Last Name:Wu
Suffix:
RePEc Short-ID:pwu100
[This author has chosen not to make the email address public]

Affiliation

College of Urban Planning and Public Affairs
University of Illinois at Chicago

Chicago, Illinois (United States)
http://www.uic.edu/cuppa/

:


RePEc:edi:cuuicus (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Yonghong Wu, 2012. "How Major Local Taxes Affect Private Employment," Economic Development Quarterly, , vol. 26(4), pages 351-360, November.
  2. Yonghong Wu, 2012. "The cross-state distribution of federal funding in the USA: The case of financing academic research and development," Science and Public Policy, Oxford University Press, vol. 40(3), pages 316-326, December.
  3. 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.
  4. 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.
  5. 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.
  6. Yonghong Wu & Rebecca Hendrick, 2009. "Horizontal and Vertical Tax Competition in Florida Local Governments," Public Finance Review, , vol. 37(3), pages 289-311, May.
  7. Yonghong Wu & D. Popp & S. Bretschneider, 2007. "The Effects Of Innovation Policies On Business R&D: A Cross-National Empirical Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(4), pages 237-253.
  8. Yonghong Wu, 2005. "The effects of state R&D tax credits in stimulating private R&D expenditure: A cross-state empirical analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(4), pages 785-802.
  9. Shiffman, Jeremy & Wu, Yonghong, 2003. "Norms in tension: democracy and efficiency in Bangladeshi health and population sector reform," Social Science & Medicine, Elsevier, vol. 57(9), pages 1547-1557, November.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. 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.

    Cited by:

    1. Drivas, Kyriakos & Economidou, Claire & Karamanis, Dimitris & Zank, Arleen, 2014. "Academic Patents and Technology Transfer," MPRA Paper 57476, University Library of Munich, Germany.
    2. Bozeman, Barry & Youtie, Jan, 2017. "Socio-economic impacts and public value of government-funded research: Lessons from four US National Science Foundation initiatives," Research Policy, Elsevier, vol. 46(8), pages 1387-1398.
    3. Crescenzi, Riccardo & Rodriguez-Pose, Andres, 2012. "R&D, Socio-Economic Conditions and Regional Innovation in the United States," CEPR Discussion Papers 9265, C.E.P.R. Discussion Papers.
    4. 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.
    5. Vincent Mangematin & Paul O’Reilly & James Cunningham, 2014. "PIs as boundary spanners, science and market shapers," The Journal of Technology Transfer, Springer, vol. 39(1), pages 1-10, February.
    6. 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.
    7. Huang, Ding-wei, 2018. "Optimal distribution of science funding," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 613-618.

  2. 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.

    Cited by:

    1. Bozeman, Barry & Youtie, Jan, 2017. "Socio-economic impacts and public value of government-funded research: Lessons from four US National Science Foundation initiatives," Research Policy, Elsevier, vol. 46(8), pages 1387-1398.
    2. 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.

  3. 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.

    Cited by:

    1. Bozeman, Barry & Youtie, Jan, 2017. "Socio-economic impacts and public value of government-funded research: Lessons from four US National Science Foundation initiatives," Research Policy, Elsevier, vol. 46(8), pages 1387-1398.
    2. 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.

  4. Yonghong Wu & Rebecca Hendrick, 2009. "Horizontal and Vertical Tax Competition in Florida Local Governments," Public Finance Review, , vol. 37(3), pages 289-311, May.

    Cited by:

    1. Ida, Tomoya & Wilhelmsson, Mats, 2014. "An Empirical Test Of The Dominant Tax Externality In Sweden," Working Paper Series 14/5, Royal Institute of Technology, Department of Real Estate and Construction Management & Centre for Banking and Finance (cefin).
    2. Michael S. Hayes, 2015. "The Differential Effect of the No Child Left Behind Act (NCLB) on States’ Contributions to Education Funding in States with Binding School District Tax and Expenditure Limitations," Public Budgeting & Finance, Wiley Blackwell, vol. 35(1), pages 49-72, March.
    3. Douglas A. Carr, 2011. "The Intergovernmental Fiscal Effects of the Clean Air Act," Public Finance Review, , vol. 39(6), pages 810-830, November.

  5. Yonghong Wu & D. Popp & S. Bretschneider, 2007. "The Effects Of Innovation Policies On Business R&D: A Cross-National Empirical Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(4), pages 237-253.

    Cited by:

    1. Wang, Eric C., 2010. "Determinants of R&D investment: The Extreme-Bounds-Analysis approach applied to 26 OECD countries," Research Policy, Elsevier, vol. 39(1), pages 103-116, February.
    2. Kiss, János, 2014. "Az innováció hatása a vállalati teljesítményre és versenyképességre
      [The impact of innovation activities on firms performance and competitiveness]
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 299-314.
    3. Davis, Nick, 2006. "Business R&D, Innovation and Economic Growth: An Evidence-Based Synthesis of the Policy Issues," Occasional Papers 06/8, Ministry of Economic Development, New Zealand.

  6. Yonghong Wu, 2005. "The effects of state R&D tax credits in stimulating private R&D expenditure: A cross-state empirical analysis," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 24(4), pages 785-802.

    Cited by:

    1. Chang, Andrew C., 2014. "Tax Policy Endogeneity: Evidence from R&D Tax Credits," Finance and Economics Discussion Series 2014-101, Board of Governors of the Federal Reserve System (U.S.).
    2. Harris, Richard & Li, Qian Cher & Trainor, Mary, 2009. "Is a higher rate of R&D tax credit a panacea for low levels of R&D in disadvantaged regions?," Research Policy, Elsevier, vol. 38(1), pages 192-205, February.
    3. Drivas, Kyriakos & Economidou, Claire & Tsionas, Efthymios G., 2014. "A Poisson Stochastic Frontier Model with Finite Mixture Structure," MPRA Paper 57485, University Library of Munich, Germany.
    4. Daniel J. Wilson, 2005. "Beggar thy neighbor? the in-state vs. out-of-state impact of state R&D tax credits," Working Paper Series 2005-08, Federal Reserve Bank of San Francisco.

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