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

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

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Glyn Wittwer
Simon McKirdy
Ryan Wilson

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Glyn Wittwer

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.

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Paper provided by Monash University, Centre of Policy Studies/IMPACT Centre in its series Centre of Policy Studies/IMPACT Centre Working Papers with number g-162.

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Date of creation: Sep 2006
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Handle: RePEc:cop:wpaper:g-162

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Find related papers by JEL classification:
C68 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - Computable General Equilibrium Models
Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

This paper has been announced in the following NEP Reports:

NEP-ALL-2006-10-14 (All new papers)
NEP-CMP-2006-10-14 (Computational Economics)

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Glyn Wittwer & Simon McKirdy & Ryan Wilson, 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 and Blackwell Publishing Asia Pty Ltd., vol. 49(1), pages 75-89, 03. [Downloadable!] (restricted)
J. D. Mumford, 2002. "Economic issues related to quarantine in international trade," European Review of Agricultural Economics, Oxford University Press for the Foundation for the European Review of Agricultural Economics, vol. 29(3), pages 329-348, July.

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