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Edited by
Kym Anderson, University of Adelaide,Cheryl McRae, Department of Agriculture, Fisheries and Forestry in Canberra, Australia,David Wilson, Department of Agriculture, Fisheries and Forestry in Canberra, Australia
This chapter examines the choice among sanitary and phytosanitary policies of those that are least trade-distorting. In addressing this choice, we highlight the potential for complementarity between science-based risk assessment and economic-based cost/benefit analysis in regulatory decision processes. We make the argument for fuller integration of these approaches than is often the case. Integrating risk assessment and cost/benefit analysis simultaneously into the regulatory process provides decision makers with a rich two-dimensional nexus of information. It is too optimistic to expect that for all regulatory decisions a fully optimal policy choice can be achieved when only a single dimension of information is considered. The two-dimensional risk assessment-economic analysis nexus gives decision makers an opportunity to evaluate the trade-offs that are faced when they choose among alternative regulatory measures. The criterion “least trade-restrictive” (or more generally, “least trade-distorting”) is one that policy makers can apply to these decisions. It is not a complete decision-making rule, nor is it the only criterion on which policy options might be ranked, but least trade-restrictive is a criterion mandated by the WTO for consideration in SPS policy determination.
The chapter is organised as follows. The next section provides a brief discussion of the concept of a policy being least trade-distorting. We follow by summarising results from two case studies that were re-analysed using somewhat different approaches than those utilised in regulatory decisions. The possibility for either convergence or divergence between the inferences drawn from risk assessment versus cost/benefit analysis is demonstrated for the case of regulation of avocados entering the United States from Mexico.
We show how to solve the stochastic spatial-temporal price equilibrium model numerically using the Chebychev collocation method. We then use the model to analyze the joint and interactive stabilizing effects of competitive storage and trade.
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