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Record W3113727343 · doi:10.31617/tr.knute.2020(36)03

EXPORT-IMPORT POTENTIAL OF THE MOTOR BOAT MARKET OF UKRAINE

2020· article· en· W3113727343 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

VenueInternational Scientific-Practical Journal COMMODITIES AND MARKETS · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSocio-economic Development and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsTariffInternational tradeBusinessUkrainianPort (circuit theory)Order (exchange)World marketMotor fuelInternational marketCompetition (biology)CommerceEconomicsEngineeringFinance

Abstract

fetched live from OpenAlex

Background. The economic crisis caused by the COVID-19 pandemic has revea­led most popular products in the global market among consumers, in particular those for spending leisure time alone. Among them, surprisingly, motor boats were found. In Ukraine, increasing the production of certain types of watercraft may be a chance to save the entire shipbuilding industry. The aim of the article is to analyse the state and the structure of the world and domes­tic markets of motor boats in order to establish possible directions for the development of the export potential of Ukraine. Materials and methods. The methods of logical analysis and generalization of scientific literature, statistical data on the export and import of goods were used; the tools of market analysis of the International Trade Centre (ITC) were applied. Results. The state of the motor boats world market is analysed according to im­port data. The main consumers of these motor boats and trends of theirs changes in 2005–2019 were studied. The data on the motor boats import to Ukraine is provided. The count­ries-exporters of motor boats are considered and their future potential is determined. The data on the motor boats export from Ukraine is given. The level of tariff protection by diffe­rent countries of the world in relation to motor boats from Ukraine is assessed. Conclusion. When planning a strategy for the development of motor boats ex­port, Ukrainian enterprises should take into account that most of the importing countries of motor boats do not impose tariff protection in relation to Ukraine, and where it is pre­sent at a sufficiently high level, there is no significant consumption of motor boats. For the development of a trade partnership in the direction of exporting motor boats, Ukraine should choose the Cayman Islands, the Netherlands, Malta, the United States of America, the British Virgin Islands, France, Gibraltar, Spain, Canada and the Seychelles –the largest consumers of motor boats. Ukraine needs to pay special attention to the Netherlands, Italy and Germany – countries that will hold the leading exporters position of motor boats for a long time. Cooperation with manufacturers of these countries in the global supply chain of motor boats to the world market could be very useful not only for motor boat manufacturers, but also for manufacturers of individual parts and accessoriesfor motor boats.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.138
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.244
Teacher spread0.208 · 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