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Foreign experience in regulating the activities of large corporate structures in the extraction of Arctic resources

2020· article· en· W3104124597 on OpenAlexaboutno aff
Polina A. Andreeva

Bibliographic record

VenueNews of the Ural State Mining University · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSubsoilArcticBusinessIncentiveState (computer science)Environmental planningEnvironmental resource managementNatural resource economicsGeographyEconomicsEnvironmental scienceMarket economyComputer scienceGeologyOceanography

Abstract

fetched live from OpenAlex

Relevance. In terms of implementing large production projects, the Arctic is one of the most challenging regions in the world. This is due to geographic remoteness, extreme temperatures, difficult ice conditions, a vulnerable environment and the presence of indigenous people concerned about any outside interference. Global experience shows that the development of the Arctic territories is untenable without participation of large corporations and their implementation of large-scale Arctic projects. The capabilities of medium-sized businesses to influence the development of the Arctic territories are incomparable with the capabilities of large corporate structures in terms of their system-forming effects. At the same time, ensuring the necessary investments for the development of the Arctic territories requires improving the state regulation of subsoil use from the position of strengthening the incentive nature of the system of measures used. The purpose of the study is to generalize and analyze foreign experience in regulating the process of developing subsoil resources in foreign Arctic countries. Research methods – a systematic approach, generalizations, comparative analysis, comparisons, etc. Results. The experience of subsoil use regulation in the Arctic territories in the USA (Alaska), Canada, Norway, Denmark and Russia is generalized and analyzed. It has been determined that the approaches to regulating the process of developing subsoil resources are correlated with the state structure of the countries: unitary or federal. The form of subsoil ownership in each of the listed countries and the procedure for granting subsoil plots for use are considered. Most attention is paid to the economic mechanism of regulation. It is proved that, depending on the economic model, measures to support corporate business and economic incentives used by countries to achieve strategic goals in the Arctic have many differences, but a similar nature. Special tax regimes, rent control measures, financial support, which is in the nature of investments, and other financial instruments are used as incentives. The specificity of the tax policy of each of the countries under consideration is disclosed, a number of factors influencing the amount of royalties, the procedure for the distribution of collected taxes on corporations in the Arctic zone between the budgets of the federation and provinces, etc., are determined. Common tools for all states have been identified and the existence of coordination procedures has been confirmed to harmonize the interests of corporations and the state. The experience of taxation of regional corporations in the Arctic territories of Russia and its disadvantages are briefly highlighted. Conclusions. The imperfection of the institutional framework of the Russian Arctic requires the adoption of new legislative acts, as well as changes in taxation, the implementation of a system of incentives from the state. It is advisable to use many elements of the economic mechanism of foreign countries to expand the capabilities of corporations involved in the development of Arctic subsoil resources.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.064
GPT teacher head0.296
Teacher spread0.232 · 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 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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