Financialization and the Role of Real Estate in Hong Kong's Regime of Accumulation
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".