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Record W4400986452 · doi:10.37128/2411-4413-2024-1-8

ENERGY INDEPENDENCE STRATEGY: NEW APPROACHES TO COMPETITIVE AND SUSTAINABLE DEVELOPMENT

2024· article· en· W4400986452 on OpenAlexaboutno aff
Iuliia Samoilyk, Lyudmyla Svystun, Mykola Svystun

Bibliographic record

VenueEСONOMY FINANСES MANAGEMENT Topical issues of science and practical activity · 2024
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy independenceProduction (economics)Natural resource economicsBusinessEnergy supplyEnergy marketSustainable developmentResource (disambiguation)PopulationPosition (finance)Independence (probability theory)EconomicsEconomic growthRenewable energyEnergy (signal processing)EngineeringPolitical science

Abstract

fetched live from OpenAlex

The energy independence impact on the competitive and sustainable development of the country has been researched in the article. Key challenges and problems related to maintaining the stability and the energy system efficiency are identified, including insufficient generation facilities capacity, dependence on energy imports, and environmental pollution issues. Energy problems have been examined at the individual, household, and national levels, as well as their interrelation. Attention has been paid to the fact that the issues in the country’s energy system affect the quality and reliability of energy supply to the population, limiting their freedom of choice and interaction with energy management systems. Dependence on energy imports complicates the country’s energy situation and puts it in a vulnerable position in the global energy market. The development trends of crude oil market have been considered, its production in different regions of the world was analyzed, as well as the role of the Organization of Petroleum Exporting Countries (hereinafter – OPEC) in regulating the prices and volumes of the oil market. In connection with the increase in world needs for energy resources, there is an increase in oil production, particularly, in 2022, a historical record for the production of this resource has been observed. This is by 1.6% higher than in 2021. The leaders in terms of crude oil production are primarily the countries of the Middle East, where the production of this resource in 2022 increased by 13%, in particular at the expense of countries such as Saudi Arabia (16%), United Arab Emirates (15%), Kuwait (8.1%) and Iran (5.9%). Information about the largest oil producers and their contribution to the overall extraction volume has been provided. Attention is paid to the problems of oligopoly in the world oil market, noting the significant influence of several large companies and exporting countries on this market. The first place in terms of crude oil production in the world is occupied by the USA – 762 Mt, the second – Saudi Arabia – 601 Mt, the third – russia (539 Mt), significant volumes of oil are also produced in such countries as Canada, Iraq, China, United Arab Emirates (hereinafter – UAE), Iran, Brazil, Kuwait, Mexico and Norway. Attention is focused on the challenges of oligopoly in the global oil market, noting the significant influence of several major companies and exporting countries on this market. Attention has been drawn to the difficulties of unmonopolization of the energy market because of the peculiarities of the natural resources’ placement and existing technological and economic developments. It has been proven that the development of a competitive environment and the increase in energy independence and security are strategic tasks necessary for sustainable economic development. The achieving competitive and sustainable development of countries economy possibilities through the alternative energy sources use and the energy cooperatives creation have been justified, which will contribute in providing access to sustainable, efficient, and environmentally friendly energy, thereby promoting the development of local communities and competitive and resilient development of socio-economic systems. Suggestions are made for the development of alternative energy sources and energy-efficient technologies as key directions of the strategy for energy independence. The necessity of innovative solutions and international cooperation has been emphasized to ensure energy security and stimulate sustainable economic growth of Ukraine.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0040.017
Scholarly communication0.0140.013
Open science0.0020.011
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0110.002

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 head0.065
GPT teacher head0.303
Teacher spread0.238 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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