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Record W1978399898 · doi:10.2478/gospo-2013-0043

Natural Gas Economy in the United States and European Markets

2013· article· en· W1978399898 on OpenAlexaboutno aff
A. Szurlej, P. Janusz

Bibliographic record

VenueGospodarka Surowcami Mineralnymi - Mineral Resources Management · 2013
Typearticle
Languageen
FieldEnergy
TopicRenewable energy and sustainable power systems
Canadian institutionsnot available
Fundersnot available
KeywordsNatural gasNatural gas pricesShale gasConsumption (sociology)Gas consumptionLiquefied natural gasEconomicsInternational economicsInternational tradeEconomyBusinessAgricultural economicsOil shaleEngineering

Abstract

fetched live from OpenAlex

From 2001-2012, international trade in natural gas increased by 86.4%, with LNG technology visibly growing in importance. In 2005, the share of LNG in the total turnover accounted for 26%, while in 2012 for 32%. In 2012, global natural gas consumption, compared to the previous year, increased by 2%, reaching 3.3 bcm. North America recorded a significant increase of 27.5% in the consumption of gas, whereas in EU countries the consumption of this fuel decreased by 2.3%. This paper examines how the share of natural gas in primary energy consumption has changed in the European and American markets; the role of this energy source has been strengthening in the US market (28.3% in 2011; 30.0% in 2012) while showing a slight decline in Europe (24.2% in 2011; 23.9% in 2012). The analysis also presents the changes that occurred in terms of dependency on gas imports in the US market, with natural gas imports decreasing due to the development of unconventional gas deposits. In comparison, in the European market lower gas recovery from domestic reserves has meant increased importance of gas imports, including LNG. The paper presents changes in natural gas prices in the European and American markets, along with the prices of LNG delivered to Japan. In addition, it reviews trends in natural gas prices for industrial consumers and households in Canada and the United States (where the ‘shale revolution’ has significantly affected a drop in prices), as well as in selected EU countries. Finally, the impact in recent years of the global natural gas market on the gas sector in Poland is examined. Highlighted are the actions undertaken to establish a competitive gas market.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.186
Teacher spread0.181 · 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 teacher head, not a consensus.

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

Citations20
Published2013
Admission routes1
Has abstractyes

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