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Record W2100870282 · doi:10.1111/coep.12037

COMMERCIAL REVITALIZATION IN LOW‐INCOME URBAN COMMUNITIES: THE HOLDUP PROBLEM AND URBAN DEVELOPMENT POLICY

2014· article· en· W2100870282 on OpenAlexaff
Li Zhou

Bibliographic record

VenueContemporary Economic Policy · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicRegional Economics and Spatial Analysis
Canadian institutionsSocial Sciences and Humanities Research CouncilUniversity of Alberta
Fundersnot available
KeywordsIncentiveMonopolistic competitionNegotiationProfitability indexEconomicsEconomies of agglomerationIndustrial organizationBusinessProfit (economics)Competition (biology)MicroeconomicsFinance

Abstract

fetched live from OpenAlex

A commercial development model, based on Fujita's monopolistic competition model of spatial agglomeration, addresses firms' decisions to enter urban communities. The model focuses on commercial developers and large department stores, and identifies a potential holdup problem in the commercial development market arising because developers incur costs before negotiating with anchor tenants over profit sharing; the holdup problem is more likely to occur in low‐income communities where the profitability of commercial projects is small. The model predicts that direct incentives to developers are preferred to general tax incentives for addressing this market failure . ( JEL R58, H50, H76)

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.229
Teacher spread0.196 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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

Citations0
Published2014
Admission routes1
Has abstractyes

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