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Record W3147537968 · doi:10.1093/es/khm076

Business Groups and the Big Push: Meiji Japan's Mass Privatization and Subsequent Growth

2007· article· en· W3147537968 on OpenAlexaff
Randall Mørck, Masao Nakamura

Bibliographic record

VenueEnterprise & Society · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsBig push modelDemiseMarket economyBig businessCompetition (biology)Government (linguistics)InterdependenceOpenness to experienceInvestment (military)EconomicsPrivate sectorState (computer science)Public goodBusinessMonetary economicsDeveloping countryEconomic growthLawMicroeconomics

Abstract

fetched live from OpenAlex

Paul Rosenstein-Rodan argues that economic development requires coordinated investment in many interdependent industries, and prescribes a flood of state-controlled investment across all sectors—a so-called big push. Widespread government failure defeated twentieth-century ‘big push’ schemes. But spillovers across firms and industries, and from public goods, hold-up problems, and capital market limitations are real, and justify coordinated growth across sectors if it can be done without government failures. Large, extensively diversified pyramidal business groups of listed firms dominate the histories of developed economies and the economies of developing economies. Arguing that such groups provided this coordination in prewar Japan after a state-run big push failed, we propose that pyramidal business groups are private-sector mechanisms for coordinating big push growth, and that competition between rival groups induces efficiency unattainable in a state-run big push. We postulate that a successful business-group led big push requires economic openness, basic public goods, rule of law, separation of the state from business, and a timely demise of business groups when the big push phase is complete.Where these criteria are not met, growth stalls and oligarchic families become too powerful to dislodge.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0030.004
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.243
Teacher spread0.229 · 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

Citations43
Published2007
Admission routes1
Has abstractyes

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