Does tax policy fit in the portfolio of COVID-19 responses?
Bibliographic record
Abstract
Purpose Tax policymakers are currently navigating a path through a delicate dialectic of macro- and micro-level policy responses to the economic dislocation of the COVID-19 pandemic. The purpose of this paper is to examine initial tax measures that are aimed at helping taxpayers needing liquidity, solvency and income support. Design/methodology/approach This study undertakes a review of key tax policy responses of six jurisdictions across the globe that have similar tax regimes and virus mitigation strategies (albeit with different outcomes). Key initiatives implemented from February to April 2020 by Australia, Canada, New Zealand, Singapore, South Africa and the UK are examined. Findings This study indicates that tax concessions are a crude and mostly ineffective way of assisting individuals and enterprises in difficulty. In the longer term, if the crisis prompts desirable reforms such as extending the recognition of tax losses, the income tax system will emerge fairer and more efficient. Practical implications An investigation of the short-term reforms announced relating to asset write-offs, tax deferral, tax losses and goods and services tax/value-added tax rates in light of the liquidity, income support and stimulus objectives shows that in some cases the policies may have been misguided. The findings can be used by policymakers as the basis for designing better targeted alternative non-tax responses. Originality/value Jurisdictional responses to tax policy reforms during a modern period of significant economic dislocation have yet to be documented in the literature. Specifically, this paper highlights the limitations of tax policy initiatives as a response to financial hardship.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".