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Quantitative models are necessary tools to represent the extremely
complex interrelationships between agricultural activities and
their environmental and socioeconomic consequences. It is a
well-established fact that reactions to policy intervention on
bio-natural and socioeconomic structures are rarely satisfactorily
explainable or predictable on the basis of simple intellectual
constructions. This contribution provides a review and assessment
of different types of applied modeling allowing for informed
discussion. A global framework is drawn up for market structures
and policy measures in developed and developing countries. Salient
policy issues on agricultural trade and emerging challenges
including environmental sustainability and poverty alleviation are
discussed as an introduction to the core survey of the quantitative
tools currently used in tackling these issues.
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