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Record W4401812418 · doi:10.55016/ojs/sppp.v14i1.69444

REVERSING THE DECLINE OF CANADIAN PUBLIC MARKETS

2021· article· en· W4401812418 on OpenAlexaffabout
Bryce C. Tingle, J. Ari Pandes

Bibliographic record

VenueThe School of Public Policy Publications · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReversingEconomicsBusinessEngineering

Abstract

fetched live from OpenAlex

It is the best of times for Canada’s public markets, it is the worst of times for Canada’s public markets. It is an age when markets have been rewarding public companies with the highest valuations seen in generations. It is an age of a rapid decline in Canadian companies opting to go public. Given that Canada’s reliance on public markets is far higher than that of any other country — double that of the next-highest country — we should be alarmed that fewer and fewer companies are choosing to go public. Companies that stay private are, on average, less successful, less productive, less likely to grow into national champions, and more likely to be sold to foreign buyers. The current decline of public markets may go to the heart of what is arguably the biggest long-term policy issue in the country: our innovation gap and declining relative productivity growth. There is no shortage of advantages for a company to go public. Public companies grow faster, grow larger, become both more productive and efficient, and have cheaper access to capital. An IPO permits early investors to exit while allowing managers to continue to build the company. What is evidently causing more and more Canadian executives to avoid going public, despite all these advantages, is a regulatory and governance ecosystem that has grown increasingly hostile to and distrustful of corporate leadership. Executives who consider going public face an environment in which their compensation levels will be high; indeed, pay for senior executives at public companies has grown remarkably in recent years. However, because of increasingly onerous regulatory disclosure requirements, earning those rewards comes at the cost of having their pay disclosed to the public, debated by shareholders and scrutinized by the media. Companies that go public also face a growing loss of control over their own governance due to pressure to adhere to an ever-evolving list of so-called universal best practices that can run dozens of pages long. These practices exact costs but don’t generally improve results. The result is a dominant one-size-fits-all governance model that does not in fact fit many, or even most companies. The key factor creating this hostile environment is a massive intrusion by outside forces on the powers traditionally exercised by boards and executives. Corporate governance used to arise from the bargaining and experimentation of the private parties that coalesce around corporations. Now governance is frequently imposed ex post on public companies by third parties with their own agendas. Particularly problematic are third-party commercial proxy advisors, ostensibly representing the interests of institutional shareholders. Their short-term, faddish, complex, and value-harming governance practices diverge dangerously from the interests of long-term flesh-and-blood investors. The innovations over the past three decades in governance rules were designed to reduce agency costs and improve corporate performance. Those that have proven failures at doing so, and there are several, should be scrapped. Rather than helping Canada’s markets become stronger, public markets have grown substantially weaker, and rather than making Canadian companies better, we now face an environment where companies would rather sell to a foreign buyer and leave the country, than go public here. The repercussions can only be adverse for Canada.

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)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.147
Threshold uncertainty score0.989

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0140.005
Scholarly communication0.0140.006
Open science0.0030.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0430.003

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 head0.061
GPT teacher head0.322
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2021
Admission routes2
Has abstractyes

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