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Record W4389085310 · doi:10.1142/s0217590823500613

THE IMPACT OF ECONOMIC POLICY CHANGE ON OUTWARD FOREIGN DIRECT INVESTMENT: EVIDENCE FROM CHINA’S INVESTMENT IN CANADA

2023· article· en· W4389085310 on OpenAlexaboutno aff
Shi Li, Caleb Huanyong Chen, Di Fan, Long Zhao

Bibliographic record

VenueThe Singapore Economic Review · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Business and FDI
Canadian institutionsnot available
FundersNatural Science Foundation of Hunan ProvinceNational Natural Science Foundation of China
KeywordsForeign direct investmentChinaEconomicsInternational economicsInvestment (military)International tradeMacroeconomicsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

The resurgence of anti-globalization has made multinational companies concerned about the impact of host countries’ economic policy change on outward foreign direct investment (OFDI). However, existing studies mainly focus on improving a host country’s institutional environment but ignore the impact of anti-globalization policies. This paper aims to complement this line of research by considering the effect of one-time economic policy shock on OFDI. In particular, using a unique dataset, this paper empirically investigates the effect of Canada’s review policy on investments by Chinese state-owned enterprises (SOEs). The results suggest that an intensified review policy effectively discouraged Chinese SOEs from investing in Canada. However, as a coping strategy to the review policy, Chinese SOEs continued to invest in Canada by adding more funding to the existing projects, establishing new businesses or investing in small-scale deals.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.705
Threshold uncertainty score0.601

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 science0.0010.000
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 head0.065
GPT teacher head0.295
Teacher spread0.230 · 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 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

Citations2
Published2023
Admission routes1
Has abstractyes

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