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100 _aNeal, Zachary P.
_938132
245 _aShould I Stay or Should I Go: Predicting Advanced Producer Services Firm Expansion and Contraction
260 _bSage,
_c2019.
300 _aVol 42, Issue 2, 2019(207-229 p.)
520 _aThe 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.
650 _alocation models,
_939989
650 _a spatial analysis,
_939990
650 _amethods,
_939991
650 _acity size and city systems,
_939992
650 _a urban and regional spatial structure,
_939993
650 _a spatial structure,
_939994
650 _aproducer services,
_939995
650 _astochastic degree sequence model,
_936605
650 _aworld cities
_933120
700 _a Derudder, Ben
_939996
700 _a Taylor, Peter J.
_939997
773 0 _011129
_915490
_dSage, 2019.
_tInternational regional science review
856 _uhttps://doi.org/10.1177/0160017618784739
942 _2ddc
_cART