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Record W1755187480 · doi:10.55016/ojs/sppp.v7i1.42463

China’s State-Owned Enterprises and Canada’s FDI Policy

2014· article· en· W1755187480 on OpenAlexaffabout
Wendy Dobson

Bibliographic record

VenueThe School of Public Policy Publications · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChinaForeign direct investmentState (computer science)BusinessPolitical scienceInternational tradeEconomicsMacroeconomicsComputer science

Abstract

fetched live from OpenAlex

In December 2012, after Ottawa approved the takeover of Canada’s Nexen by the state-owned Chinese oil giant, CNOOC Ltd., Prime Minister Stephen Harper offered an explanation to clarify the government’s evolving position on takeovers from foreign state-owned enterprises. But rather than clarifying, the government succeeded instead in adding further ambiguity to an already opaque approvals process. Such takeovers would face “strengthened scrutiny” over the extent and nature of the foreign government’s corporate control, he said, and would only be permitted in “exceptional circumstance.” In other words, an approvals process already contingent on subjective judgment — thanks to the lack of transparency inherent in the pivotal “net-benefits test,” and the onus it puts on the bidder to prove itself a worthy buyer — would now involve even more layers of subjective judgment. This is particularly ironic given that, as Canada’s foreign-investment rules become cloudier and more prone to government interference, in China itself, regimes governing foreign direct investment (FDI) and state-owned enterprises are becoming increasingly transparent and market-oriented. The government’s enhanced stringency may be a response to popular fears that China is “buying up” Canadian assets. Such fears are, for the time being at least, overblown: China’s global outward FDI stocks are still lower than Canada’s, and a fraction of those held by the U.S., the U.K. and Germany — although China will undoubtedly continue to expand its foreign investment portfolio. But China’s investment strategies are little different these days than those of western investors: China’s government has planned to reduce its role in commercial decision-making, and seems more comfortable with allowing both nationalized and (increasingly) private businesses to pursue growth based on maximizing shareholder value, rather than enhancing national security. Moreover, modern governance practices are now gradually being introduced to the Chinese corporate world, with boards becoming more independent from the state, and improved transparency in accounting and auditing practices. Whatever worries Canadians may have about Chinese state-owned enterprises investing in Canada, raising investment barriers is a blunt and flawed solution. Rather than block Chinese capital, Canadian regulators should monitor the behaviour of all firms to ensure standards are met for safety, environment, labour laws, transparency and national security. Closing off Canadian companies to Chinese bidders can hurt Canada’s economy. It could increase risk for, and discourage, private-equity investors who often see foreign takeovers as a possible exit strategy, while potentially sheltering poorly managed firms from takeovers, dragging down our economic efficiency. Furthermore, Canada may well need access to Chinese capital in order for the oilsands to reach their full economic potential. The Canadian Energy Research Institute estimates that, to achieve full development, the oilsands will require $100 billion in capital investment to 2019. Currently, Chinese investment controls roughly two per cent of Canada’s total FDI stocks. If that proportion remained constant, China could — based on the projected scale of its FDI by 2020 — provide 40 per cent of the estimated funding required to optimally develop the oilsands. If Canadian markets prove hostile, Chinese capital will, of course, find assets elsewhere. But as long as regulators enforce practices that safeguard Canadian interests, there is no reason for Canada to impede Chinese investment. Indeed, there is good reason to encourage it.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.833
Threshold uncertainty score0.812

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.038
GPT teacher head0.231
Teacher spread0.193 · 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 designTheoretical or conceptual
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

Citations7
Published2014
Admission routes2
Has abstractyes

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