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Record W3123056897

Reining in the Risks: Rethinking the Role of Crown Financial Corporations in Canada

2013· article· en· W3123056897 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueC.D. Howe Institute Commentary · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsMandateFinanceBusinessRevenueContext (archaeology)Financial system
DOInot available

Abstract

fetched live from OpenAlex

Crown corporations are business enterprises owned by governments – having been established to achieve a range of public policy goals, they tend also to have revenue-generating objectives. In the financial sector, the Crowns typically had their origins in a perceived lack of credit – a credit market gap – for some consumers and businesses. In this Commentary , we test the rationale for financial Crown corporations’ continued existence, in the context of the mandate and activities of three federal Crown financial corporations: the Business Development Bank of Canada (BDC), Export Development Canada (EDC) and Farm Credit Canada (FCC). We argue that the rationale for their continued existence is difficult to sustain, because the market failures they are intended to address are not well defined. The financial Crowns’ intertwinement with domestic political and business institutions, however, makes their rapid unwinding unrealistic. The issues we address, therefore, are the extent to which they complement or displace private activity, and whether their access to low-cost capital leads these Crowns or their counterparties to take on excessive risks. We find that all Crowns compete to some extent directly with private financial institutions, and hence operate beyond any potential market gap. FCC, whose share of total farm loans has grown from less than 15 percent in the 1990s to 29 percent in 2011, appears to operate the farthest removed from a complementary role. We also find that Crowns’ operations pose risks to taxpayers and the overall economy – and that these risks seem to have grown in recent years. In particular, the FCC has grown alongside a rise in the level of farm indebtedness and a bidding-up in farm asset values, including supply-managed farm quotas. We recommend policies limiting these Crowns’ activities to better align them with their core mandates and economic rationales. The Crowns’ mandates should be clearly circumscribed, and even rolled back. The Crowns’ practices should be monitored consistently to ensure adherence to their mandates and to ensure they do not pose undue risks for taxpayers and the economy.

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.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score0.338

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 science0.0000.000
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 head0.037
GPT teacher head0.270
Teacher spread0.234 · 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