Sovereign Wealth and Pension Funds Controlling Canadian Businesses: Tax-Policy Implications
Bibliographic record
Abstract
In a world without taxes, investors that take over companies would do so because they expect to be able to operate the business efficiently and at a high rate of return. But in Canada today, some acquirers enjoy tax advantages over others. And that could mean that certain buyers, who may not be best suited to owning a particular company, are able to outbid those who are better positioned to run that company at optimal efficiency. That is a problem not just for investors who end up outbid, due to Canada’s uneven tax policy, but for the Canadian economy, which suffers from the resulting economic inefficiency. With respect to registered pension plans, the so-called 30-per-cent rule puts a cap on the amount of voting equity in a company that they are permitted to own. Meanwhile, however, sovereign wealth funds — whether controlled by China or Australia — face no such limit when purchasing stakes in Canadian firms. The number and size of sovereign wealth funds, globally, is only growing — and rapidly. But as Canada increasingly attracts foreign capital, with foreign-controlled government-affiliated funds seeking out Canadian takeover targets, much of the discussion around public policy has focused primarily on the Investment Canada Act and the “net benefit test” for foreign direct investment. Another component in ensuring that Canadian interests are preserved, however, is the question of whether Canadian institutional investors can operate on a level playing field with foreign sovereign wealth funds. With the 30-per-cent rule limiting equity purchases for one but not the other, it would appear that they are not. The most appealing remedy to this imbalance is a tax solution: limiting the corporate deductions on interest, fees, royalties, rents, and the like, that so often factor in to the takeover calculation, as part of a tax-minimization strategy. This would not only put pension funds and sovereign wealth funds on equal footing, but it could also be applied to investors operating from low- or zero-tax jurisdictions, as well. This approach is not without disadvantages. But overall, the neutrality it could achieve among different types of institutional investors, and the potential it has to enable those investors best able to maximize management excellence and synergies, make it the preferable policy direction for ensuring the greatest level of efficiency in the Canadian economy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".