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Record W3119331002 · doi:10.5267/j.ac.2021.1.005

Environmental cost accounting and financial performance: The mediating role of environmental performance

2021· article· en· W3119331002 on OpenAlexvenueno aff
Hamzah Al‐Mawali

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicEnvironmental Sustainability in Business
Canadian institutionsnot available
Fundersnot available
KeywordsStructural equation modelingAccountingStock exchangeMediationBusinessChristian ministryEnvironmental accountingContingency theoryMeasure (data warehouse)Financial accountingAccounting information systemFinanceKnowledge managementComputer sciencePolitical scienceMathematicsStatisticsDatabase

Abstract

fetched live from OpenAlex

This study aims to investigate both the direct and indirect relationships between Environmental Cost Accounting (ECA), Environmental Performance (EP) and Financial Performance (FP). The samples are companies listed in the industrial sector of Amman Stock Exchange. Subjective data using questionnaire are collected to measure ECA and EP, and objective data are obtained from the companies’ annual reports to measure FP. The author used structural equation modeling to analyze the data. The results showed that ECA positively affected EP and FP, also ECA positively affected EP. Moreover, the results confirmed the mediation role of EP on the direct relationship between ECA and FP. This study contributes to the management accounting literature and contingency theory by using structural equation modeling to examine the above-mentioned relationships, which have been neglected in previous studies, and by analyzing more recent data from a developing country perspective. The results will be useful for practitioners in Jordan, especially for management in the industrial companies and the Ministry of Environment.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0000.001
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 head0.004
GPT teacher head0.168
Teacher spread0.164 · 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 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

Citations22
Published2021
Admission routes1
Has abstractyes

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