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Econometric Modelling of R&D and Australia's Productivity

Author

Listed:
  • Sid Shanks
  • Simon Zheng

    (Productivity Commission)

Abstract

The objective of this study was to undertake a series of modelling exercises that took advantage of the additional available data to explore the effects of R&D on Australian productivity. However, despite the advances in data and methods, our research was unable to find a consistent robust measure of the impact of R&D on productivity. In addition to core data measurement issues, the most likely explanation is that the extra data period includes disruptions or ‘shocks’ to the relationship between R&D and productivity performance in Australia. This has frustrated attempts to clearly determine the magnitude of any long-term relationship between R&D and Australian productivity. The study has covered a large expanse of modelling territory and has tested the limits of standard models to explain the effect of R&D on Australia’s productivity. It has also explored a promising approach that deals with influences on R&D and on productivity in separate models, but within a simple related system. However, whilst it has provided some clear and plausible results, uncertainties about magnitudes of some effects remain. A major message from all the analysis is that, at least for the time being, empirical estimates of the effects of R&D on Australian productivity are unreliable. Any assessment therefore requires a high degree of judgment. The views expressed in this paper are those of the staff involved and do not necessarily reflect those of the Productivity Commission.

Suggested Citation

  • Sid Shanks & Simon Zheng, 2006. "Econometric Modelling of R&D and Australia's Productivity," Staff Working Papers 0604, Productivity Commission, Government of Australia.
  • Handle: RePEc:ris:prodsw:0604
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    Citations

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    Cited by:

    1. Zawalińska, Katarzyna & Tran, Nhi & Płoszaj, Adam, 2018. "R&D in a post centrally-planned economy: The macroeconomic effects in Poland," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 37-59.
    2. Dowrick, Steve & Tani, Massimiliano, 2011. "International business visits and the technology frontier," Economics Letters, Elsevier, vol. 110(3), pages 209-212, March.
    3. John Mullen, 2007. "Productivity growth and the returns from public investment in R&D in Australian broadacre agriculture," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(4), pages 359-384, December.
    4. Alston, Julian M. & Pardey, Philip G. & Ruttan, Vernon W., 2008. "Research Lags Revisited: Concepts and Evidence from U.S. Agriculture," Staff Papers 50091, University of Minnesota, Department of Applied Economics.
    5. Sabine Visser, 2007. "R&D in Worldscan," CPB Memorandum 189, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

    econometric modelling; productivity growth; research and development; innovation; R&D;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth
    • Z - Other Special Topics

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