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Record W3124365307 · doi:10.55016/ojs/sppp.v4i1.42357

Small Business Taxation: Revamping Incentives to Encourage Growth

2011· article· en· W3124365307 on OpenAlexaff
Duanjie Chen, Jack Mintz

Bibliographic record

VenueThe School of Public Policy Publications · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Taxation and Avoidance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsIncentiveBusinessIndustrial organizationEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

This study adopts a new approach in assessing the impact of taxes on small business growth and suggests the need to consider new incentives that would be more effective in encouraging small business growth and would also improve the neutrality of the existing tax system. In recent years, federal and provincial governments have provided various corporate tax incentives to small businesses with the aim of helping them grow. While it is commonly believed that small businesses are responsible for most job creation, unfortunately the only study available has shown that while many small businesses are created, few grow. Yet many governments believe that the incentives are important even though little evidence supports the effectiveness of small business corporate concessions. Some provinces have actually eliminated corporate taxes on small businesses or reduced such taxes to a symbolic level (e.g., one to two percent) without there being any empirical support in favour of the effectiveness of such actions.In contradiction to the widely held view that small business tax concessions encourage growth, such small business tax relief could actually be antithetical to growth by creating a “taxation wall.” First, it could result in the breakup of companies into smaller, less efficient-sized units in order to take advantage of tax benefits even if there are economic gains to growing in size. Second, it could encourage individuals to create small corporations in order to reduce their personal tax liabilities rather than grow companies. And third, it could lead to a “threshold effect” that holds back small business from growing beyond the official definition of “smallness,” regardless of the criteria for measuring size (e.g., the size of revenue or assets, or the number of employees). In this paper, we evaluate the impact of both corporate and personal taxes on the growth of small business and we focus in particular on the likely consequences of the aforementioned threshold effect. We use a new approach in assessing the impact of taxes on small business growth by estimating the amount of tax paid on the rate of return to capital as a small business grows in size. We show that small business growth is hampered by the existing tax system. As a business grows, effective tax rates on capital investments made by entrepreneurs virtually double when the business grows from as a little as $1 million to over $30 million in asset size. The issue is particularly important to the provinces that have been creating greater gaps between large and small business tax rates.The aim of tax incentives should be to try to avoid creating a wall that inhibits growth in small businesses, but instead flattens corporate and personal taxes with respect to incentives structured to induce growth. We provide some specific recommendations for growth-enhancing incentives that are superior to the small business tax deduction and other incentives of a similar type. Incentives associated with size should be avoided as much as possible, a proposal that is consistent with International Monetary Fund (IMF) recommendations.

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 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)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.105
GPT teacher head0.258
Teacher spread0.153 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations19
Published2011
Admission routes1
Has abstractyes

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