MétaCan
Menu
Back to cohort
Record W3199859489 · doi:10.55016/ojs/sppp.v11i1.53162

The Potential for Canadian LNG Exports to Europe

2018· article· en· W3199859489 on OpenAlexaffabout
Jennifer Winter, Sarah Dobson, G. Kent Fellows, Dexter Lam, Paul Craig

Bibliographic record

VenueThe School of Public Policy Publications · 2018
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsInternational tradeEconomicsEconomyBusiness

Abstract

fetched live from OpenAlex

Offering numerous ports with the shortest shipping distances to Europe from North America, Eastern Canada has the potential to be a player in the European liquefied natural gas (LNG) market. However, the slower-moving nature of proposed projects on Canada’s East Coast, combined with a glut of global LNG liquefaction capacity, means it will likely be difficult for Canadian projects to gain a foothold in the market in the near term. As just one player in the worldwide competitive market, Eastern Canada will face challenges keeping up with faster-moving and lower-cost entrants, particularly those on the U.S. Gulf and East Coasts. Geography, too, is a double-edged sword for proposed projects in Quebec and the Maritime provinces. While they offer the benefit of proximity to Europe, they are located significant distances from Canada’s major natural-gas-producing provinces of British Columbia and Alberta. Further, there are no direct natural gas pipelines connecting proposed projects to supply sources in either Western Canada or the Northeastern U.S. This places these projects at a significant disadvantage relative to projects on the U.S. Gulf Coast. The latter are located in a petrochemical hub, complete with major infrastructure connections to numerous sources of natural gas supply. Also working against Eastern Canadian LNG development is anti-pipeline and anti-fossil fuel sentiments across the country. These sentiments are slowing Canada’s regulatory process and have also contributed to the establishment of moratoriums on hydraulic fracturing in three Maritime provinces. This virtually rules out local supply sources of natural gas for export from Canada’s East Coast in the near term. None of this necessarily means, however, that Eastern Canada’s future in LNG exports is doomed. Reason for optimism remains and it centres on indications that European countries are looking to diversify their natural gas supply sources and are prioritizing geopolitically stable and environmentally responsible supplies. Canada is a world benchmark for that kind of stability, thus making it a dependable, reliable supplier unshaken by whichever way the geopolitical winds are blowing. The kind of stability Canada offers will be key to obtaining long-term LNG supply contracts and the financial capital accompanying them to build pipelines and LNG export facilities. In 2015 the NEB granted export licenses for six proposed LNG export facilities on Canada’s East Coast. Since then, one project was cancelled and the remaining five have repeatedly pushed back their timelines. This has left Canada in a limbo of sorts, but it can extricate itself. Market entry in the 2020s is within reach and aligns with a current opening in the European LNG contract market. Canada must move faster, however, if it is going to compete with the U.S., which currently has two operating LNG export facilities and an additional four under construction. The longer Canada’s process, the more likely that, for example, countries in Europe wanting to wean themselves off unstable Russia as a supplier, will turn to the U.S. rather than Canada. Windows of opportunity continually open and close for entrance to any LNG market. For Eastern Canada to compete in the European market it will need secure supplies of natural gas, and investment and long-term contracts to shore up the financing for building the necessary export infrastructure. For all those things to work in harmony, Canada must pick up the pace and deviate from the status quo or risk losing out entirely.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.290
Teacher spread0.264 · 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

Citations2
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueThe School of Public Policy PublicationsSame topicGlobal Energy Security and PolicyFrench-language works237,207