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Should I stay or should I go : predicting advanced producer services firm expansion and contraction

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Abstract
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.
Keywords
WORLD CITY NETWORK, FACILITY LOCATION, BUSINESS SERVICES, MANAGEMENT, DECISIONS, INTERNATIONALIZATION, AGGLOMERATION, ECONOMIES, GEOGRAPHY, CITIES, location models, spatial analysis, methods, city size and city systems, urban and regional spatial structure, spatial structure, producer, services, stochastic degree sequence model, world cities

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Citation

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MLA
Neal, Zachary P., et al. “Should I Stay or Should I Go : Predicting Advanced Producer Services Firm Expansion and Contraction.” INTERNATIONAL REGIONAL SCIENCE REVIEW, vol. 42, no. 2, 2019, pp. 207–29.
APA
Neal, Z. P., Derudder, B., & Taylor, P. J. (2019). Should I stay or should I go : predicting advanced producer services firm expansion and contraction. INTERNATIONAL REGIONAL SCIENCE REVIEW, 42(2), 207–229.
Chicago author-date
Neal, Zachary P, Ben Derudder, and Peter J Taylor. 2019. “Should I Stay or Should I Go : Predicting Advanced Producer Services Firm Expansion and Contraction.” INTERNATIONAL REGIONAL SCIENCE REVIEW 42 (2): 207–29.
Chicago author-date (all authors)
Neal, Zachary P, Ben Derudder, and Peter J Taylor. 2019. “Should I Stay or Should I Go : Predicting Advanced Producer Services Firm Expansion and Contraction.” INTERNATIONAL REGIONAL SCIENCE REVIEW 42 (2): 207–229.
Vancouver
1.
Neal ZP, Derudder B, Taylor PJ. Should I stay or should I go : predicting advanced producer services firm expansion and contraction. INTERNATIONAL REGIONAL SCIENCE REVIEW. 2019;42(2):207–29.
IEEE
[1]
Z. P. Neal, B. Derudder, and P. J. Taylor, “Should I stay or should I go : predicting advanced producer services firm expansion and contraction,” INTERNATIONAL REGIONAL SCIENCE REVIEW, vol. 42, no. 2, pp. 207–229, 2019.
@article{8639472,
  abstract     = {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.},
  author       = {Neal, Zachary P and Derudder, Ben and Taylor, Peter J},
  issn         = {0160-0176},
  journal      = {INTERNATIONAL REGIONAL SCIENCE REVIEW},
  keywords     = {WORLD CITY NETWORK,FACILITY LOCATION,BUSINESS SERVICES,MANAGEMENT,DECISIONS,INTERNATIONALIZATION,AGGLOMERATION,ECONOMIES,GEOGRAPHY,CITIES,location models,spatial analysis,methods,city size and city systems,urban and regional spatial structure,spatial structure,producer,services,stochastic degree sequence model,world cities},
  language     = {eng},
  number       = {2},
  pages        = {207--229},
  title        = {Should I stay or should I go : predicting advanced producer services firm expansion and contraction},
  url          = {http://dx.doi.org/10.1177/0160017618784739},
  volume       = {42},
  year         = {2019},
}

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