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An Empirical Note on R&D Growth Models with Regional Implications


  • Saunoris, James W.
  • Payne, James E.


Using U.S. data from 1960 to 2007 this empirical note re-examines the semi-endogenous and Schumpeterian R&D growth models presented by Ha and Howitt (2007) and Madsen (2008). The empirical results support the Schumpeterian R&D growth model. Specifically, in the long-run increases in R&D expenditures are necessary to counteract lower R&D productiv-ity due to the presence of product proliferation. Furthermore, the study provides a frame-work for further investigation of R&D growth models at the regional level.

Suggested Citation

  • Saunoris, James W. & Payne, James E., 2011. "An Empirical Note on R&D Growth Models with Regional Implications," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 41(1).
  • Handle: RePEc:ags:jrapmc:132458

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    References listed on IDEAS

    1. Jakob Madsen, 2008. "Semi-endogenous versus Schumpeterian growth models: testing the knowledge production function using international data," Journal of Economic Growth, Springer, vol. 13(1), pages 1-26, March.
    2. Altshuler, Rosanne, 1988. "A Dynamic Analysis of the Research and Experimentation Credit," National Tax Journal, National Tax Association, vol. 41(4), pages 453-466, December.
    3. Engle, Robert F. & Yoo, Byung Sam, 1987. "Forecasting and testing in co-integrated systems," Journal of Econometrics, Elsevier, vol. 35(1), pages 143-159, May.
    4. Altshuler, Rosanne, 1988. "A Dynamic Analysis of the Research and Experimentation Credit," National Tax Journal, National Tax Association, vol. 41(4), pages 453-66, December.
    5. Charles I. Jones, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, Oxford University Press, vol. 110(2), pages 495-525.
    6. del Barrio-Castro, Tomas & Lopez-Bazo, Enrique & Serrano-Domingo, Guadalupe, 2002. "New evidence on international R&D spillovers, human capital and productivity in the OECD," Economics Letters, Elsevier, vol. 77(1), pages 41-45, September.
    7. Marios Zachariadis, 2003. "R&D, innovation, and technological progress: a test of the Schumpeterian framework without scale effects," Canadian Journal of Economics, Canadian Economics Association, vol. 36(3), pages 566-586, August.
    8. Marios Zachariadis, 2004. "R&D-induced Growth in the OECD?," Review of Development Economics, Wiley Blackwell, vol. 8(3), pages 423-439, August.
    9. Peretto, Pietro F, 1998. "Technological Change and Population Growth," Journal of Economic Growth, Springer, vol. 3(4), pages 283-311, December.
    10. Christopher Laincz & Pietro Peretto, 2006. "Scale effects in endogenous growth theory: an error of aggregation not specification," Journal of Economic Growth, Springer, vol. 11(3), pages 263-288, September.
    11. Segerstrom, Paul S, 1998. "Endogenous Growth without Scale Effects," American Economic Review, American Economic Association, vol. 88(5), pages 1290-1310, December.
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    Cited by:

    1. Amitrajeet Batabyal & Peter Nijkamp, 2014. "Innovation, Decentralization, and Planning in a Multi-Region Model of Schumpeterian Economic Growth," Networks and Spatial Economics, Springer, vol. 14(3), pages 605-628, December.
    2. Batabyal, Amitrajeet A. & Beladi, Hamid, 2016. "The effects of probabilistic innovations on Schumpeterian economic growth in a creative region," Economic Modelling, Elsevier, vol. 53(C), pages 224-230.
    3. Amitrajeet Batabyal & Hamid Beladi, 2013. "Human capital, knowledge spillovers, and one kind of semi-endogenous regional economic growth," Letters in Spatial and Resource Sciences, Springer, vol. 6(3), pages 121-135, November.


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