CSR adoption strategies of Chinese state oil companies: effects of global competition and cooperation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose – The purposes of this paper are: to examine the adoption of corporate social responsibility (CSR) strategies related to environment protection by Chinese state oil companies; and to analyze the effects of global competitions and cooperation on the CSR adoption processes. Design/methodology/approach – Based on a content analysis of 58 corporate reports and three interviews with senior managers from Chinese-Western joint ventures, the authors analyzed the environmentally-related CSR adoption strategies and the effects of global competition and cooperation in Chinese state oil companies. Findings – The findings suggest that more cooperative CSR strategies related to environment protection have been adopted by Chinese state oil companies in the past decade. The main reasons are: the force of international and local environmental regulations; the pressures from partners of western oil companies and the desire to increase the global competitive advantage of the Chinese state oil companies. Research limitations/implications – Given that this study is based only on the analysis of corporate reports and three interviews, the authors' conclusions should be considered preliminary and inconclusive. Future studies should be done to collect more primary data by interviewing and surveying by questionnaire a significant number of managers from these companies to validate these conclusions. Originality/value – This paper highlights the adoption of CSR strategies by three Chinese state oil companies and the effects of global operations which have been little studied academically so far.
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.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it