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Analysing the Economic Impacts of a Plant Disease Incursion Using a General Equilibrium Approach

  • Glyn Wittwer
  • Simon McKirdy
  • Ryan Wilson

This study uses a dynamic multi-regional computable general equilibrium (CGE) model to estimate the micro- and macroeconomic effects of a hypothetical disease outbreak. The extent of the incursion, the impact of the disease on plant yields, the response of buyers, the costs of eradication and the time path of the scenario contribute to outcomes at the industry, regional, state and national levels. We also decompose the contribution of these individual direct effects to the overall impact of the disease. This may provide some guidance as to areas for priority in attempting to eradicate or minimise the impacts of a disease.

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File URL: http://www.copsmodels.com/ftp/workpapr/op-97.pdf
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File URL: http://www.copsmodels.com/elecpapr/op-97.htm
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Paper provided by Victoria University, Centre of Policy Studies/IMPACT Centre in its series Centre of Policy Studies/IMPACT Centre Working Papers with number op-97.

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Date of creation: Sep 2003
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Publication status: Published in Australian Journal of Agricultural and Resource Economics 49(1):75-89, January(2005). DOI: 10.1111/j.1467-8489.2005.00276.x
Handle: RePEc:cop:wpaper:op-97
Contact details of provider: Postal: PO Box 14428, Melbourne, Victoria, 8001
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  1. Philip D. Adams & Mark Horridge & Glyn Wittwer, 2003. "MMRF-GREEN: A Dynamic Multi-Regional Applied General Equilibrium Model of the Australian Economy, Based on the MMR and MONASH Models," Centre of Policy Studies/IMPACT Centre Working Papers g-140, Victoria University, Centre of Policy Studies/IMPACT Centre.
  2. Naqvi, Farzana & Peter, Matthew W, 1996. "A Multiregional, Multisectoral Model of the Australian Economy with an Illustrative Application," Australian Economic Papers, Wiley Blackwell, vol. 35(66), pages 94-113, June.
  3. James, Sallie & Anderson, Kym, 1998. "On the need for more economic assessment of quarantine/SPS policies," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(4), December.
  4. Peter B. Dixon & Maureen T. Rimmer, 2003. "State-level Dynamic CGE Modeling for Forecasting and Policy Analysis," Centre of Policy Studies/IMPACT Centre Working Papers ip-82, Victoria University, Centre of Policy Studies/IMPACT Centre.
  5. Zhao, Xueyan & Anderson, Kym & Wittwer, Glyn, 2003. "Who gains from Australian generic wine promotion and R&D?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 47(2), June.
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