Bibliometrics Analysis of Green Accounting Research
Bibliographic record
Abstract
This research delves into Green Accounting, which integrates environmental considerations into traditional accounting practices. Green Accounting has garnered significant attention in the context of heightened global ecological awareness and sustainability efforts. The study examines the trends in Green Accounting publications, investigating various aspects such as subject areas, types of publications, and international dissemination. The objectives encompass analyzing publication trends from 1992 to mid-2023 and identifying influencing factors, exploring the implications of different publication types, revealing the significance of dominant subject areas, recognizing key international channels for dissemination, making global comparisons, acknowledging prominent authors' contributions, examining affiliations and roles of authors, and uncovering prevalent themes in Green Accounting publications. The methodology involves employing bibliometric analysis utilizing Scopus and VOSviewer tools to discern patterns and advancements in Green Accounting. The findings demonstrate fluctuations driven by environmental concerns, policy shifts, funding availability, and industry involvement. Dominant article types highlight interdisciplinary green economic engagement focusing on economic and ecological aspects. The research identifies global contributions to Green Accounting from developed and developing nations, driven by notable authors such as Cairns, Bartelmus, and Markandya, and spanning diverse affiliations like Universite McGill and the University of Bath, showcasing international interdisciplinary collaboration. Themes encompass environmental accounting, economics, corporate social responsibility, sustainable development, finance, and align with the Sustainable Development Goals. The study's novelty lies in its comprehensive analysis of Green Accounting's landscape, shedding light on its development, global involvement, and influences, thus providing valuable insights for stakeholders, policymakers, and researchers to advance sustainable practices. The implications underscore the need for ongoing research to address ecological challenges through Green Accounting, utilizing the understanding of trends, subject areas, and global engagement to formulate greener strategies, fostering collaboration among authors and affiliations, and enhancing overall awareness for facilitating sustainable development progress.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.018 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".