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Record W2004049353 · doi:10.1080/13571510802465088

Radius Restrictions on Retail Chains and the Similarity of Neighboring Shopping Centers

2008· article· en· W2004049353 on OpenAlexaboutno aff
Andrew Eckert, Douglas S. West

Bibliographic record

VenueInternational Journal of the Economics of Business · 2008
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMerger and Competition Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBargaining powerChain (unit)RADIUSBusinessCenter (category theory)Similarity (geometry)Power (physics)Industrial organizationAdvertisingMarketingMicroeconomicsEconomicsComputer scienceComputer security

Abstract

fetched live from OpenAlex

In Canada and the US, shopping center developers may impose ‘radius restrictions’ on tenants in their shopping centers, prohibiting tenants in a particular shopping center from opening another store within a certain radius. Whether a radius restriction is imposed on a chain will depend upon the relative bargaining positions of the chain and the developer. This paper presents an empirical analysis of regional shopping center composition in Canada, using variables that reflect the bargaining power of retail chains and shopping center developers. We find that large, well established, and growing chains are more likely to enter neighboring malls, consistent with the hypothesis that whether a chain enters neighboring malls depends upon its bargaining power. As well, we find that a chain is more likely to enter neighboring malls owned by large developers, consistent with large developers trying to keep retail chains out of the malls of small developers.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.238

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.039
GPT teacher head0.209
Teacher spread0.170 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of the Economics of BusinessSame topicMerger and Competition AnalysisFrench-language works237,207