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Record W2232733045

Hotelling with network externalities

2009· preprint· en· W2232733045 on OpenAlex
Rodney Beard, Ujjayant Chakravorty

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueINRIA a CCSD electronic archive server · 2009
Typepreprint
Languageen
FieldDecision Sciences
TopicInnovation Diffusion and Forecasting
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRenewable energyExternalityNetwork effectFossil fuelEnvironmental economicsNatural resource economicsResource (disambiguation)Renewable resourceEconomicsMicroeconomicsBusinessComputer scienceEngineeringWaste management
DOInot available

Abstract

fetched live from OpenAlex

In this paper the Hotelling model of exhaustible resource extraction is extended to incorporate network externalities. The impact of network externalities on competition between an exhaustible resource and a renewable resource sector is studied. The motivation for the paper is that the benefits to consumers from consumption of fossil fuels versus renewable energy sources depend on the number of other consumers consuming the same type of energy. For example purchase of fossil fuel driven vehicles has greater benefits if there are large numbers of other drivers of such vehicles resulting in a large network of infrastructure for the technology, e.g. roads, gas stations, automobile clubs. Likewise purchase of electric or solar- hydrogen vehicles would have increased benefits if there were a large number of other users of such vehicles with a large infrastructure network available such as plug-in points for electric vehicles of refuelling stations for hydrogen vehicles. The paper examines the transition from a fossil fuel economy to a renewable energy economy with network externalities within the framework of a differential game between the policymaker who determines the extent of extraction of fossil fuels and consumers who choose between a fossil fuel network and a renewable energy network in response to network externalities in consumption. Two cases are considered one with two immature industries both characterised by network externalities and one with a mature fossil energy sector in which network externalities are absent and an immature renewable sector that is characterised by network externalities. The key results demonstrate that network effects will have different impacts when technological choices are between two immature sectors as opposed to choices between a mature and an immature sector. In the latter case network externalities are a key barrier whereas in the former the impact depends on the remaining lifetime of the fossil energy source. The results also have implications for policy in particular it is suggested that barriers to the transition to renewable energy are a more appropriate target for policy than attempting to reduce the costs of capturing renewable energy as the latter is likely strengthen the marginal impact of network externalities on resource extraction thereby slowing the transition to renewable energy.

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.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.271
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.062
GPT teacher head0.330
Teacher spread0.269 · 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