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Record W3170997277 · doi:10.32843/infrastruct53-22

PUBLIC FINANCES OF UKRAINE IN THE CONDITIONS OF THE COVID-19 PANDEMIC

2021· article· en· W3170997277 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

VenueMarket Infrastructure · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsSolvencyContext (archaeology)PandemicGross domestic productBusinessPopulationFinancial crisisCoronavirus disease 2019 (COVID-19)ChinaReputationEconomic policyEconomicsDevelopment economicsEconomic growthMarket liquidityFinancePolitical scienceGeographyMacroeconomicsMedicine

Abstract

fetched live from OpenAlex

The article presents the results of a study of the world experience of using public finances in the context of the spread of the COVID-19 pandemic and evaluates domestic measures of anti-crisis support of the national economy. It was noted that the volume and forms of financial support depended on the depth of the negative consequences of a pandemic in a country, as well as on the solvency of governments, their reputation as borrowers. Developed countries had the opportunity to approve fiscal support measures for several years, while in developing countries, such measures were short-term. It is emphasized that in these conditions the biggest concern is the growing budget deficit and public debt. The total package of anti-crisis measures of Ukraine, which is estimated at UAH 111.2 billion (2.8% of GDP), is analyzed. It is noted that this package is significantly inferior to the volume of support programs in developed countries, which reached levels ranging from 5-10% of GDP (China, UK, USA) to 18.8% of GDP (Canada) and even 23% of GDP (France). It was noted that despite the fact that the implementation of the "Big Construction" program has become the largest anti-crisis instrument in 2020, which undoubtedly had a positive effect and impact on economic indicators, it should not be considered an anti-crisis measure. This program was planned before the deployment of the COVID-19 pandemic, it is not directly related to the direct support of the population and compensation for business losses, so it cannot be considered a government response to the COVID-19. It is concluded that the expected continuation of the pandemic in 2021 will require governments to pursue policies to support business and households. In these circumstances, the Ukrainian government will be required to increase the volume of anti-crisis measures. At the same time it is necessary to observe prudence and caution in choosing the sources of government borrowing. For the Ukrainian state, this task is complicated by the fact that overcoming the crisis must be carried out in the context of continuing reforms, strengthening the imbalance of public finances, increasing macroeconomic instability.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.261
Teacher spread0.197 · 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