MétaCan
Menu
← Back to cohort
Record W6884645706 · doi:10.11575/prism/30067

Do Bilateral Investment Treaties Increase Canadian Direct Investment Abroad? An Economic Analysis of Canada's Investment Policy

2015· other· en· W6884645706 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)Government (linguistics)Panel dataProduct (mathematics)Order (exchange)Estimation

Abstract

fetched live from OpenAlex

Globalization is opening up new markets for trade and investment. Yet, varying regulatory regimes between states and weak institutions threaten the ability of Canadian firms to safely invest abroad. Foreign Protection Investment Agreements (FIPAs) is Canada’s response to this dilemma. These treaties create binding international law that establishes a stable investment environment between two nations, allowing Canadian companies to better integrate globally through what is known as Canadian direct investment abroad (CDIA). But, as Canada aggressively negotiates FIPAs, their influence on CDIA remains unclear. Using a fixed-effects regression to analyze three separate data sets, this paper provides quantitative evidence that FIPAs increase CDIA between Canada and signatory states. The results show an estimated $1.9 to $3.5 billion increase in CDIA across two of the three regressions for every FIPA ratified. Although these results are significant, the estimated increase in CDIA was less than one percent of total CDIA in 2014. Three separate regressions were conducted: 1) The baseline analysis utilizes panel data from 98 countries between 1987 and 2014; 2) The second analysis utilizes panel data from 86 countries between 1995 and 2013; 3) The third analysis excludes countries where Canada has free trade agreements and utilizes panel data from 93 countries between 1987 and 2014. Six independent variables (Gross domestic product, gross domestic product growth rate, gross domestic product per capita, inflation, exports as a percentage of gross domestic product, and the existence of a FIPA), were included to determined if they influence levels of CDIA. Then, the implications that these results have on Canada’s foreign investment policy framework is discussed. Two distinct issues were found with the current language of FIPAs that may hinder their effectiveness, and thus explain the regression results. First, governments are wary of ratifying FIPAs because of vague interpretations of what constitutes “fair and equitable treatment.” Second, the process surrounding tribunals lack specificity, which may create unwarranted claims against states. The recommendation to remedy these issues is: 1) Canada’s future FIPA approach should be modeled off the Canadian-European Union Trade Agreement (CETA) investment chapter, which adds new provisions to protect a states right to regulate and specifically outlines the arbitration process. In addition, since a single FIPA only marginally increases CDIA, it is recommended that: 2) Canada pursue negotiations to ratify multilateral agreements on investment (MAI) that could standardize investment law across regions, open up multiple markets to Canadian firms and simplify the process; 3) Canada identifies outdated FIPAs and renegotiates terms to bring them up to the investment standards laid out in CETA.

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)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.744

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.005
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.010
GPT teacher head0.210
Teacher spread0.200 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

Explore more

Same venuePRISM (University of Calgary)→French-language works237,207→