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Analysing a hypothetical Pierce's disease outbreak in South Australia using a dynamic CGE approach

Author

Listed:
  • Glyn Wittwer
  • Simon McKirdy
  • Ryan Wilson
Abstract
A dynamic computable general equilibrium model provides a tool for analysing the regional economic consequences of a hypothetical plant pest incursion. The model is very detailed at the industry and regional level. It includes a theory of regional labour market adjustment. In our example, a hypothetical Pierce's disease incursion, direct regional economic losses are magnified by consequent depressed investment in downstream wine processing sectors. Following elimination of the disease, it takes a number of years for the region to recover fully.

Suggested Citation

  • Glyn Wittwer & Simon McKirdy & Ryan Wilson, 2006. "Analysing a hypothetical Pierce's disease outbreak in South Australia using a dynamic CGE approach," Centre of Policy Studies/IMPACT Centre Working Papers g-162, Victoria University, Centre of Policy Studies/IMPACT Centre.
  • Handle: RePEc:cop:wpaper:g-162
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    References listed on IDEAS

    as
    1. Wittwer, Glyn & McKirdy, Simon & Wilson, Ryan, 2005. "Regional economic impacts of a plant disease incursion using a general equilibrium approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(1), pages 1-15.
    2. J. D. Mumford, 2002. "Economic issues related to quarantine in international trade," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(3), pages 329-348, July.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Alston, Julian M. & Fuller, Kate B. & Kaplan, Jonathan D. & Tumber, Kabir P., 2015. "Assessing the returns to R&D on perennial crops: the costs and benefits of Pierce’s disease research in the California winegrape industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(1), January.

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    More about this item

    Keywords

    plant disease; CGE modeling;

    JEL classification:

    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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