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Financialization and the Role of Real Estate in Hong Kong's Regime of Accumulation

2003· article· en· W2091111530 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

VenueEconomic Geography · 2003
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHousing, Finance, and Neoliberalism
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsFinancializationEconomicsFordismReal estateWageCapital accumulationGlobal imbalancesConsumption (sociology)Market economyFinanceHuman capitalSociologyCurrent account

Abstract

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Abstract: The greater dominance of finance in the global economic system is widely considered to have increased instability and created difficulties in constructing modes of regulation that could stabilize post‐Fordist regimes of accumulation. Heightened competition and the discipline of global finance restrict the use of Fordist strategies that expand social wages to balance production and consumption. Robert Boyer suggested a model for a possible stable finance‐led growth regime. His hypothesis is that once there are sufficient stocks of property in a nation, expenditures that are based on capital gains, dividends, interest, and pensions can compensate for diminished wage‐based demand. We contend that the neglect of real estate is a serious limitation, since housing wealth is more significant than other forms of equity for most citizens, and thus that it fails to capture the impact of the perceptions and choices of ordinary citizens. We then argue that features of a finance‐led regime of accumulation and a property‐based mode of regulation appeared in Hong Kong relatively early. A case study of Hong Kong is used to extend Boyer's discussion, as well as to diagnose Hong Kong's experience for its lessons on the impact of such developments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.357
Threshold uncertainty score0.559

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.209
Teacher spread0.195 · 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