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Record W7113390683

Порівняння діяльності портів Східного узбережжя Балтійського моря: 1996–2016 рр.

2017· article· ru· W7113390683 on OpenAlexaboutno aff

Bibliographic record

VenueThe Scientific Issues of Ternopil Volodymyr Hnatiuk National Pedagogical University Series pedagogy · 2017
Typearticle
Languageru
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsBaltic seaTransshipment (information security)ChinaQuarter (Canadian coin)Far EastRussian federationBlack seaCapital (architecture)Period (music)
DOInot available

Abstract

fetched live from OpenAlex

The object of research is the performance of ports in the East Coast of the Baltic Sea for the period from 1996 to 2016. By comparing the performance of Russian ports and ports in the Baltic States, the trend of significant growth in cargo turnover in the ports of the region is revealed. The aggregate cargo turnover in the ports of Russia and the Baltic States has increased 4.5-fold over the last 20 years. An analysis of the comparative performance of all the ports of the East Coast of the Baltic Sea for 20 years has shown their growing relevance in development of economic and trade relations between the Asian and European regions. Despite a sharp increase in cargo transshipment in the newly constructed Russian ports (24 times in 20 years), the ports of Latvia, Lithuania and Estonia still show positive dynamics (twice in 20 years). Contrary to the current opinion on the decrease in the role of ports in the Baltic countries, the article shows the factors of their development, including the participation of Russian capital in the construction of new terminals in the ports of Latvia and Estonia (Riga, Sillamäe), and by attracting cargo from other regions (Lithuania, Klaipeda).All ports of the East Coast of the Baltic Sea Region have development of potential in expanding ties with the rapidly developing Asian region (China, India). The volumes of transit between Europe and Eurasia are constantly growing, and only in the first quarter of this year the supplies from Europe to China grew by 12 %, and from China to Europe – by 7 %, amounting to 62 billion USD and 81 billion USD respectively.An analysis of the Baltic ports is also important in connection with the development of the large and promising Belarusian project «Great Stone», of which the Chinese national logistics company is a partner and which should connect China via Belarus with the German port of Duisburg. Thus, the possibility of organizing multimodal transportation from Germany to China via the Riga port is being considered because of the limited capacity of the Polish and Slovak railways to transport Chinese goods through the Minsk logistics center «Great Stone» to Europe. In this context, the use of the Riga port with a large potential for development of the port territories can significantly strengthen its economic position, and thereby influence the growth of the Latvian economy.The following factors influence the development of transport corridors in the Baltic Sea Region in order of importance: geography, economics, politics, transport infrastructure and new technologies of logistics business. If we talk about the ports of the Baltic countries, then there is a narrowing of geographical plans due to the reorientation of cargo to Russian ports. The economy is influenced by tariff policy. The influence of politics is still great. The most optimistic is the impact of transport infrastructure.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0040.007
Scholarly communication0.0010.002
Open science0.0050.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.079
GPT teacher head0.327
Teacher spread0.248 · 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 designNot applicable
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

Citations0
Published2017
Admission routes1
Has abstractyes

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