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Record W6907881739 · doi:10.25365/thesis.75487

Environmental Performance and its effect on the cost of equity within the energy sector in the case of Europe, the US and Canada

2024· article· de· W6907881739 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Vienna · 2024
Typearticle
Languagede
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsEnergy performanceEquity (law)Energy sectorRenewable energy

Abstract

fetched live from OpenAlex

Diese Masterarbeit untersucht die Auswirkung der nachhaltigen Performance auf die Eigenkapitalkosten im Falle europäischer, US-amerikanischer und kanadischer Unternehmen im Energy Sektor, sowie dessen Sub-Sektoren in den Jahren 2017 bis 2019. Im Zuge der Klimakrise spielt die Energiewende wesentliche Rolle und darum befasst sich diese Thesis mit dem finanziellen Aspekt der Auswirkungen von steigender nachhaltiger Performance. In dieser Arbeit versuchen drei Modelle der Recherchethema zu erläutern. In diesen Modellen werden die Eigenkapitalkosten anhand impliziter und realisierter Renditen approximiert. Die implizite Methode folgt dem Modell von Claus und Thomas 2001, während die realisierten Renditen die Basis für eine Querschnittspanelanalyse sowie für eine Portfoliomodell bilden. Stellvertretend für die nachhaltige Performance wurde der Nachhaltigkeitsscore von Refinitiv Eikon herangezogen. Die Ergebnisse dieser Arbeit sind nicht eindeutig und nicht signifikant. Die Ergebnisse lassen darum auf keinen konsistenten Effekt von nachhaltiger Performance auf die Eigenkapitalkosten im Falle von Energiefirmen in Europa, den US und Kanada schließen.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.013
GPT teacher head0.195
Teacher spread0.182 · 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.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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