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Record W2597713223

Foreign Investment Restrictions as Industrial Policy: The Case of Canadian Telecommunications

2004· article· en· W2597713223 on OpenAlexaboutno aff
Robert W. Crandall, Hal J. Singer

Bibliographic record

VenueeYLS (Yale Law School) · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessInvestment (military)Foreign direct investmentTelecommunicationsInternational economicsIndustrial organizationInternational tradeEconomicsComputer scienceLawPolitical scienceMacroeconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

We assess the economic harms that would accrue if Canada were to adopt asymmetric rules of foreign ownership for incumbent carriers and entrants. We explain the current Canadian regulatory climate surrounding foreign investment in Canadian telecommunications. Competition in the telecommunications industry is generally robust, which suggests that rules aimed at favouring entrants are not necessary. Moreover, Canadian entrants are equally capable of attracting foreign capital as Canadian incumbents, which suggests that foreign investment rules aimed at favouring entrants are especially unwise.\nNext, we review the U.S. attempt to stimulate competition in local telecommunications markets through an analogous form of asymmetrical regulation. Despite the best of intentions, United States regulators have not been able to stimulate meaningful local competition through such asymmetrical regulation. Moreover, the resultant easy access to capital created wasteful invest- ment by the entrants. Second, licensing restrictions on foreign carriers in the U.S. reflect another form of asym- metric regulation because they apply only to wireless licenses, not wireline operations. This licensing process confers substantial discretionary authority on the FCC, which has allowed the process to become highly politicized. Finally, asymmetric rules for broadband services have cemented the position of cable modem providers vis-à-vis DSL providers.\nThe U.S. experience highlights several issues that may be relevant for Industry Canada as it assesses the effect of changes in foreign ownership rules on competition in telecommunications. In particular, the investment of more than $40 billion by entrants in the U.S. local telecommunications markets has been almost com- pletely squandered. This asymmetric regulation did not succeed in attracting entrants that would have a measur- able effect on the retail price of telecommunications services. Given the nature of demand for and supply of telecommunications services, competition is more likely to develop across different platforms — cable, wireline, and wireless — not among small niche players lured into the marketplace by regulators.\nWith the lessons of the U.S. regulatory experience in mind, we review two specific Canadian proposals regarding foreign investment rules: tiering and licensing. We conclude that a tiering approach would harm com- petition and infrastructure investment because it would reduce the incentives of incumbent carriers to invest in network upgrades or new services, and potentially aggra- vate the problem of excess capacity that plagues the telecommunications industry. A licensing approach for foreign investment restrictions should also be rejected. Licensing would impose a further layer of regulation on the marketplace, reduce foreign investment, and expose foreign carriers to political pressures. The Canadian agencies should not follow their southern neighbours down the road to despair.

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)0.003
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.175
Threshold uncertainty score0.957

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0130.007
Scholarly communication0.0110.002
Open science0.0020.002
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0070.000

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 head0.077
GPT teacher head0.243
Teacher spread0.166 · 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
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

Citations0
Published2004
Admission routes1
Has abstractyes

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