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Record W2808868421 · doi:10.1108/cr-09-2017-0063

Global cities, ownership structures, and location choice

2018· article· en· W2808868421 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCompetitiveness Review An International Business Journal incorporating Journal of Global Competitiveness · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Urban Networks and Dynamics
Canadian institutionsQueen's University
Fundersnot available
KeywordsEconomic geographyBusinessRegional scienceIndustrial organizationEconomicsGeography

Abstract

fetched live from OpenAlex

Purpose This paper aims to develop a more nuanced view of subnational location choice with a particular focus on global cities. It is argued that multinational firms may use global cities to establish bridgeheads-subsidiaries at intermediate levels of the ownership chain that enable further international as well as subnational expansion. Design/methodology/approach Beyond those host country subsidiaries that are directly owned by a foreign multinational, the authors go deeper and focus specifically on the multi-tiered – “subsidiaries of subsidiaries” to examine how the geographic origins and destinations of these investments are associated with micro-location choices in a host country. Findings The authors find that there are substantial differences between the types, roles, activities and geographic origins of the firms locating in different areas, and in the ownership structures spanning them. The authors propose that this has managerial and theoretical implications which may be understood based on an organizing framework describing a tradeoff between the pursuit of global connectivity and local density on the one hand and cost control on the other. Research limitations/implications Empirical work on foreign location choices should take into account ownership structures and take a more fine-grained view of subnational variation. Practical implications Managers need to consider the trade-offs between connectivity, density and costs when making foreign location decisions. Social implications Policy makers should think about the unique contributions that various subnational regions such as global and ordinary cities can make to global value chains. Originality/Value The authors bridge the hitherto separate literatures pertaining to subsidiary mandates and subnational dimensions of foreign location choice by investigating the fine-grained roles and ownership structures from a supranational as well as subnational perspective.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.475
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.340
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it