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Record W2304251505 · doi:10.14288/1.0101579

Canadian income tax postponement and avoidance opportunities afforded by the long term lease : an analysis, history, and suggested solution

2011· article· en· W2304251505 on OpenAlexaboutno aff
Russell Gill Duthoit

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsnot available
Fundersnot available
KeywordsPostponementTerm (time)LeaseEconomicsIncome taxBusinessLabour economicsPublic economicsOperations managementFinance

Abstract

fetched live from OpenAlex

The Report of the Royal Commission on Taxation, 1967, stated that tax treatment of leases was of great concern if the system of capital cost allowances was not to be undermined. In spite of this warning, nothing has been done since the repeal of former Section 18 of the Canadian Income Tax Act, in 1963, to remedy the situation. Section 18 was repealed because it was found to be administratively inoperable. A study of current accounting and business practice, of theoretical and research committee recommendations, and of legislation in the United States appears to isolate the reason for legislative difficulties. The premise on which Canadian legislation was based is much too narrow. Only those leases which had purchase options were dealt with. In fact, most long term leases, regardless of whether or not they have purchase options, have most of the attributes of purchases. These attributes include property rights acquired in assets, useful life of assets, equity accumulation in assets, and the fair -market value of assets in relation to the present value of total payments required under the lease. In most long term leases, the present value of contract payments, including options, comprises the major part of the fair market value. Current opinion and practice, as expressed by most writers, by research committees, and as evidenced by accounting practice and business acceptance in balance sheet footnoting of long term leases, effectively treats such acquisition as quasi-purchases. In this regard, both theory and practice is far ahead of legislation. The inequity in the tax treatment of long term leases is much more consequential than is generally realized. Not only is there substantial tax postponement for an ever burgeoning number of realty and equipment leases, but there is 'proper' tax avoidance under the long term lease through depreciation of land for tax purposes, effectively available to lessees, but not available to purchasers. When the thousands of service station and supermarket outlets, and the fact that most are under long term lease in Canada, are considered, tax avoidance from this source alone amounts to many, many, millions of dollars annually. Since leasing is always initially more expensive than purchasing, and the major reason for many leases is tax advantage, it is not unfair to say that legislative inaction contributes considerably to business inefficiency. This taxation problem is examined under varying aspects, including historical applications of the Canadian Income Tax Act; present legislation and its effectiveness; pertinent tax cases in Canada and in the United States; current accounting and business trends, and Carter Report suggestions. Finally, suggested legislation which embodies the transition of long term leasing to purchasing is proposed. While the proposed solution is relatively simple and concise, it is supported by theory, by practicality, and by operability.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.097
Threshold uncertainty score0.703

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.011
Science and technology studies0.0040.004
Scholarly communication0.0050.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.023
GPT teacher head0.163
Teacher spread0.141 · 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
GenreOther

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
Published2011
Admission routes1
Has abstractyes

Explore more

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