Assessing the impact of environmental accounting research: evidence from citation and journal data
Bibliographic record
Abstract
Purpose This paper aims to conduct an analysis of management research based on impact measures, with a focus on the accounting discipline and the environment theme. Using author and journal data as units of analysis, this study seek to determine the representation of environmental accounting researchers among the most cited accounting authors and the consideration given to environmental issues in the impact assessment of management journals. Design/methodology/approach This study collects and quantitatively analyzes the publications and citations of the 50 most cited accounting authors and run a principal component analysis on a collection of journal-centered indicators and rankings. Findings This study finds that – among the most cited accounting authors – environmental accounting researchers hold a relatively influential position although their research is mainly published in non-top-tier accounting journals. This study also documents that some environment-themed journals suffer from significant disadvantages in peer-reviewed journal rankings. Practical implications Environmental accounting researchers are likely to disseminate their research in other media than in top-tier journals. This may have an impact on the academic viability of this field. Social implications Despite their strong connection to societal issues, some research themes could become understudied if journal rankings are not able to consider publication outlets in a more comprehensive way. There is a strong need for a broader consideration of scientific production, particularly in relation to its overall societal impact. Originality/value To the best of the authors’ knowledge, this is the first time an empirical analysis, combining author and journal data and documenting such findings, has been presented for publication. This study means to provide some descriptive insights into where environmental accounting researchers and environment-themed journals stand.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".