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Record W4388705077 · doi:10.21083/surg.v15i1.7176

Canada's Foreign Direct Investment Dependency Problem

2023· article· en· W4388705077 on OpenAlexaffvenueabout
Khalil Nayef

Bibliographic record

VenueSURG Journal · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsForeign direct investmentVolatility (finance)Granger causalityEconomicsInflowInternational economicsMonetary economicsInternational tradeMacroeconomicsEconometricsGeography

Abstract

fetched live from OpenAlex

Sustained economic growth from Foreign Direct Investment (FDI) is an economic strategy susceptible to volatility. This leaves economies that are relatively dependent upon FDI inflow, such as the Canadian economy, especially vulnerable to volatility shocks. FDI has seen a tremendous rise in global acceptance due to the extensively studied and accepted economic growth benefits it can offer a nation. However, literature studying the methods by which FDI can be detrimental to economic growth and the factors which impact this, are sparse. This paper will expand on the literature regarding Canadian FDI inward flow by closely analyzing Canada’s dependence on FDI and the risks associated with it, as well as its degree of correlation with global volatility. Analyzing the standard deviation of Canadian FDI inward flow during periods of economic uncertainty reveals that, relative to the G7, Canada’s FDI inflow is volatile. Using a Granger causality test and cross-correlation analysis to determine if VIX levels serve as a predictor of Canadian FDI inflow, it becomes clear that the Canadian economy is markedly susceptible to global economic shocks.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.948

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)0.0000.001

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 head0.053
GPT teacher head0.196
Teacher spread0.143 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2023
Admission routes3
Has abstractyes

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