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Record W2250094346

Canada as an Emerging Energy Super-Producer

2013· article· en· W2250094346 on OpenAlexaffabout
Gerry Angevine, Kenneth P. Green

Bibliographic record

VenueSSRN Electronic Journal · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsFraser Institute
Fundersnot available
KeywordsSuperpowerEnergy policyEconomicsBusinessEnergy securityProduction (economics)Resource (disambiguation)International tradeNatural resource economicsRenewable energyChinaPolitical scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

'Canada as An Emerging Energy Super-Producer' explores the meaning of the term “energy superpower” and whether Canada could become an energy superpower or a super-producer of energy. It also examines how Canada’s energy resources, production, and net exports rank from a global perspective and provides an overview of the economic benefits flowing from energy resource production, including the royalty payments that flow to governments, and inter-provincial energy trade.Prime Minister Stephen Harper’s government has frequently referred to Canada becoming an “energy superpower” — a term usually reserved for countries that are in a position to leverage their market power with respect to energy exports and are willing to exercise opportunities to do so. Canada is not about to become or striving to be an energy superpower but yet is clearly on the verge of becoming a super-producer of energy. Because Canada is energy self-sufficient most of the increase in oil, gas, uranium and hydroelectric production will be exported. Consequently, Canada is bound to soon be one of the world’s largest exporters of energy commodities.Increased energy resource development, production and inter-provincial trade will bring substantial economic benefits. The energy resource sector is already a large employer and contributor to Canada’s GDP. But the construction and operation of expanded and new energy commodity production and transportation facilities will bring tremendous additional economic benefits in terms of employment, labour income and economic growth. This will raise household incomes and provide individuals and families with improved living standards.Another benefit of becoming a super-producer of energy will be increased government revenues from production royalties and fees. Canada’s energy resource producers already contribute at least $19 billion to governments each year in the form of royalties, lease payments and fees. Going forward, these payments can be expected to increase as petroleum and uranium production increase and new hydro facilities are built. Growth in oil sands bitumen production alone could contribute as much as $50 billion per year to the Alberta government by 2033 compared with $4.5 billion in 2011.The study concludes that further growth in energy production would be of net benefit for Canadians as long as the risks associated with becoming an energy superproducer and net energy exporter are managed to avoid or minimize any negative impacts that energy sector growth could have on other areas of the economy.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.068
Threshold uncertainty score0.493

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0200.005
Scholarly communication0.0110.004
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0150.001

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 head0.009
GPT teacher head0.185
Teacher spread0.175 · 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 designObservational
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
Published2013
Admission routes2
Has abstractyes

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