The Role of Sustainable Accounting on the Uphold of Sustainable Development at the Jordanian Industrial Sector
Bibliographic record
Abstract
This paper aims to explore the role of sustainable accounting on the uphold of sustainable development at the Jordanian Industrial sector. To approach to this ending, 20 companies were randomized to form the study sample, and a questionnaire was developed and distributed among the sampling unit that consisted of 150 individuals. out of the whole distributed, 135 were returned, and only 120 were statistically valid, therefore, they were subjected to the statistical analysis using the statistical package of social science (SPSS). The researchers adopted the descriptive analytical approach to analyze the gathered data, several results were approached among of which: 1) There is a positive statistical significant correlation between the sustainable accounting and the uphold of sustainable development at the Jordanian Industrial sector. the study revealed that there is a consensus among the respondents in regard to the applicability of sustainable development since it allows development to meet needs and desires of the present and future generations nevertheless the relevant legislations are not enough to empower the environmental preservations. 2) There is a positive statistically significant correlation at (? =0.05) between the environmental financial accounting and the uphold of sustainable development at the Jordanian industrial sector, the study analysis indicated that there are a poor amount of environmental information disclosed in the financial statements; even though the policies and procedures in which the environmental officials and accountants are empowered with is taking a growing trend to promote for the sustainable development. 3) There is a positive statistical significant correlation at (? =0.05) between the environmental management accounting and the uphold of sustainable development at the Jordanian industrial sector. The study analysis revealed that the Jordanian Industrial sector is surrounding the environmental aspects with a minor interest if compared with the social and economical aspects due to the fact that the environmental response by the firms are limited to the legislations enacted by the governmental bodies to avoid any foreseeable penalties.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".