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100 |
_aNeal, Zachary P. _938132 |
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245 | _aShould I Stay or Should I Go: Predicting Advanced Producer Services Firm Expansion and Contraction | ||
260 |
_bSage, _c2019. |
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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 |
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650 |
_aproducer services, _939995 |
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650 |
_astochastic degree sequence model, _936605 |
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650 |
_aworld cities _933120 |
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700 |
_a Derudder, Ben _939996 |
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700 |
_a Taylor, Peter J. _939997 |
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773 | 0 |
_011129 _915490 _dSage, 2019. _tInternational regional science review |
|
856 | _uhttps://doi.org/10.1177/0160017618784739 | ||
942 |
_2ddc _cART |