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The Economic Effects on Regional Australia of RUN-member Universities

Author

Listed:
  • Robert Waschik
  • Jonathan Chew
  • John Madden
  • Joshua Sidgwick
  • Glyn Wittwer

Abstract

The study analyses the impacts of selected regional universities on regional economies within Australia using a multi-regional CGE model, VU-TERM. Universities enhance a community's knowledge base through teaching and research, raising productivity within the region. To depict the regional economic contribution of universities, we simulate a hypothetical removal of regional campuses. We estimate demand-side shocks using expenditure patterns of university enrolees. Supply-side impacts use inputs from econometric studies estimating rates-of-return to levels of educational attainment. Armidale's local economy is hit hardest by a hypothetical removal of its university. Other regions suffering substantial losses include Ballarat, Toowoomba and Rockhampton.

Suggested Citation

  • Robert Waschik & Jonathan Chew & John Madden & Joshua Sidgwick & Glyn Wittwer, 2018. "The Economic Effects on Regional Australia of RUN-member Universities," Centre of Policy Studies/IMPACT Centre Working Papers g-286, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-286
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    References listed on IDEAS

    as
    1. James A. Giesecke & John R. Madden, 2006. "Cge Evaluation Of A University'S Effects On A Regional Economy: An Integrated Assessment Of Expenditure And Knowledge Impacts," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 18(3), pages 229-251, November.
    2. Joshua Drucker & Harvey Goldstein, 2007. "Assessing the Regional Economic Development Impacts of Universities: A Review of Current Approaches," International Regional Science Review, , vol. 30(1), pages 20-46, January.
    3. Michael Fritsch & Viktor Slavtchev, 2007. "Universities and Innovation in Space," Industry and Innovation, Taylor & Francis Journals, vol. 14(2), pages 201-218.
    4. John R. Madden, 2017. "University location and city development: the effects of Victoria University on the Western Melbourne economy," Centre of Policy Studies/IMPACT Centre Working Papers g-272, Victoria University, Centre of Policy Studies/IMPACT Centre.
    5. Dixon, Peter B. & Rimmer, Maureen T., 2013. "Validation in Computable General Equilibrium Modeling," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 1271-1330, Elsevier.
    6. R. Harris & Q. C. Li & J. Moffat, 2011. "The impact of higher education institution-firm knowledge links on firm-level productivity in Britain," Applied Economics Letters, Taylor & Francis Journals, vol. 18(13), pages 1243-1246.
    7. Maryann Feldman & Pierre Desrochers, 2003. "Research Universities and Local Economic Development: Lessons from the History of the Johns Hopkins University," Industry and Innovation, Taylor & Francis Journals, vol. 10(1), pages 5-24.
    8. Vernon Henderson, J., 2007. "Understanding knowledge spillovers," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 497-508, July.
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    Cited by:

    1. Glyn Wittwer & Mark Horridge, 2018. "Prefectural Representation of the Regions of China in a Bottom-up CGE Model: SinoTERM365," Journal of Global Economic Analysis, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University, vol. 3(2), pages 178-213, December.

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    More about this item

    Keywords

    CGE Modelling; Regional Universities; Economic Contribution;
    All these keywords.

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

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