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Research of the market and economic state of enterprises in the cosmetics industry in the context of reforming the regulatory framework and harmonization in accordance with the requirements of the EU regulations

2022· article· en· W4284974705 on OpenAlexaboutno aff
Viktoriia Akmen, Світлана Вікторівна Сорокіна, Olena Kruhlova, Marianna Pavlyshyn, Lyudmila Volynets, Олена Володимирівна Кот, Alina Sevostianova, Nataliia Cherevychna, Hanna Zabrodska, Nataliia Lutsiv

Bibliographic record

VenueEastern-European Journal of Enterprise Technologies · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Business Development Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsHarmonizationLegislatureContext (archaeology)BusinessEuropean unionLegislationIndustrial organizationProduct (mathematics)International tradePolitical scienceLaw

Abstract

fetched live from OpenAlex

There is a certain dissonance between the rate of increase in demand, for an expanded range of perfumery and cosmetic goods, and the slow development of regulatory and legal regulation of their production and safety. During the research, it was established that the inertia of state bodies regarding the approval of laws has a significant impact on the economic development of industry enterprises. Problems in methods for determining substances have been identified; ambiguity of the legislative framework regarding the legal liability of producers for falsification, use of non-regulated components, labeling requirements. To solve the problem, a critical analysis of the regulatory impact of the regulatory framework, in time, on the economic condition and competitiveness of industry products was carried out. The legislative requirements put forward in Ukraine, EU countries, Canada, America, China on control of production and testing of cosmetics on animals have been analyzed. As a result of the research, four stages of reforming regulatory regulation by the state and bringing the legislative framework of the industry in line with European requirements have been identified and substantiated. New categories introduced into the regulatory framework have been identified and the prospects for exporting goods produced within the framework of the new regulatory framework are shown. Based on the results of the research, identical and different requirements of the Ukrainian and European regulations for cosmetic products, for packaging, labeling, methods for studying stability, physical and chemical indicators, sampling procedure for expert evaluation were established. It is shown that the introduced changes meet the requirements of European standards and could increase the competitiveness and investment potential of domestic enterprises of the cosmetic industry

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.260
Teacher spread0.209 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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