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Record W2997190565 · doi:10.5430/rwe.v10n4p48

Foreign Capital Flows as Factors of Economic Growth in Bulgaria, Czech Republic, Hungary and Poland

2019· article· en· W2997190565 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearch in World Economy · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicBusiness and Economic Development
Canadian institutionsnot available
Fundersnot available
KeywordsForeign direct investmentEconomicsCzechGross fixed capital formationCapital (architecture)Foreign capitalInvestment (military)Emerging marketsCapital formationCapital flowsInternational economicsMonetary economicsEconomyMarket economyMacroeconomicsFinancial capitalHuman capitalGeography

Abstract

fetched live from OpenAlex

While foreign investment is generally associated with economic growth, it can also pose significant risks to the economies of the recipient countries. An empirical study is carried out to test the causality between various forms of capital inflows and economic growth of four emerging market countries of Central and Eastern Europe: Bulgaria, the Czech Republic, Hungary and Poland. Using the vector autoregression framework it is found that prior to the crisis events in the world economy and euro area capital inflows, especially foreign direct investment, played significant role in boosting economic growth. However, afterwards there is no evidence of such impact and the reverse trend is observed: now economic growth is the factor driving capital inflows, again, mainly direct investments, to the countries. Also, as a result of the steady increase in value of the accumulated assets possessed by foreign investors in national economies negative effects of attracting foreign capital could be observed, which take the form of high volumes of repatriated profits, exceeding received investment and posing new threats for national economies.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.265
Teacher spread0.240 · 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