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In this chapter we examine various analytical approaches which are pertinent to an important area of research in which, according to Isard and Dean ([30]), regional scientists ought to be more actively involved. This is the estimation of commodity flow (or trade share) matrices across world trade networks. Although spatial variables such as distance, location and transport cost clearly have a significant impact on the quantity and structure of trade, these effects are often ignored or downplayed by international trade economists. Our task is to redress this imbalance partly by strengthening the case for combined spatial interaction-equilibrium approaches to world trade analysis. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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