Should I Stay or Should I Go: Predicting Advanced Producer Services Firm Expansion and Contraction

By: Contributor(s): Material type: ArticleArticlePublication details: Sage, 2019.Description: Vol 42, Issue 2, 2019(207-229 p.)Subject(s): Online resources: In: International regional science reviewSummary: The literature on firm location selection allows us to retrospectively explain why firms did locate in particular places. However, it remains challenging to prospectively predict where they will locate. In this article, we propose a simple conceptual model of firm location decisions, then operationalize it using the ordinal stochastic degree sequence model (oSDSM). We use this model to predict whether 104 advanced producer service firms will expand, contract, or maintain their presence in each of 525 cities, and find that these predictions are accurate in more than 86 percent of cases. We conclude with suggestions for further refinement of this model.
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Item type Current library Call number Vol info Status Date due Barcode Item holds
E-Journal E-Journal Library, SPAB Vol 42 (1-6), 2019. Available
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The literature on firm location selection allows us to retrospectively explain why firms did locate in particular places. However, it remains challenging to prospectively predict where they will locate. In this article, we propose a simple conceptual model of firm location decisions, then operationalize it using the ordinal stochastic degree sequence model (oSDSM). We use this model to predict whether 104 advanced producer service firms will expand, contract, or maintain their presence in each of 525 cities, and find that these predictions are accurate in more than 86 percent of cases. We conclude with suggestions for further refinement of this model.

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