The Factors Affecting Household Electricity Saving Behavior: A Study in Vietnam
Bibliographic record
Abstract
In the context of dramatically increase in electricity demand, Vietnam's potential for power supply remains limited. Research and promotion of electricity saving behavior of households become significant to reduce electricity consumption and protect ecological environment. This study incorporates elements of planned behavior theory (TPB) and norm activation model (NAM) as the basis for developing and extending key assumptions. In addition, expansion TPB is used to study influence factors affecting electricity saving behavior. Through a sample of 395 randomly selected residents in Tay Ninh Province and Ho Chi Minh city in Vietnam, the proposals were checked using a structural equation model (SEM). The results showed that the factors in TPB and NAM (such as perceived behavioral control, subjective norm, attitude, personal moral norm) and additional factor (perceived benefit) are the important factors that influence resident's intention of saving electricity. Moreover, electricity saving behavior is strongly influenced by the intention of saving electricity, perceived benefit, policy and social propaganda. Based on these results, some inferences are drawn, and recommendations are made for policy makers and further research proposals are discussed.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".