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Record W1828255393 · doi:10.1111/rode.12009

The Effect of Home‐country and Host‐country Corruption on Foreign Direct Investment

2012· article· en· W1828255393 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

VenueReview of Development Economics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsForeign direct investmentLanguage changeMultinational corporationInternational economicsEconomicsMonetary economicsBusinessMacroeconomics

Abstract

fetched live from OpenAlex

Abstract The effect of corruption on FDI is analysed. Using FDI outflows from a sample of East European transition economies that had virtually no outward FDI before 1995, FDI flows are observed based mainly on current investment decisions and less on the inertia of past investments. The model separates the effects of corruption on FDI location decisions and on the amount invested. A linear and negative relationship is found between host‐country corruption and the likelihood of MNCs locating in that country. The relationship between home‐country corruption and FDI is non‐monotonic, with an inverse U shape where both high and low levels of corruption in the home country reducing the probability of outward FDI flows. If FDI is undertaken to a host country, the volume of FDI is affected by home‐country but not by host‐country corruption.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.953
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.268
Teacher spread0.254 · 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