The role of consumers' altruistic and egoistic values in determining renewable energy adoption
Bibliographic record
Abstract
In this paper, we examine the role of egoism and social and biospheric altruism in influencing consumers’ decisions to adopt renewable energy. Past research suggests that consumers’ social, biospheric and egoistic values influence their cognitive decision making mechanisms. However, studies have not compared and contrasted the effects of different altruistic values on specific environmental behaviors. To address this problem, we draw on the theories of value-belief-norm and paradox, to propose that social and biospheric altruistic values have diverse effects on renewable energy adoption. We observe that biospheric altruism is positively associated with the adoption of renewable energy and social altruism is negatively associated with the adoption of renewable energy. Contrary to the propositions of the theory of paradox, we observed that egoistic values measured in terms of financial scarcity reduced the paradoxical nature of social and biospheric altruism. Using structural equation modeling, we analyzed 140 responses from the residential energy consumers of New Brunswick, Canada. We discuss the implications of the study’s findings for extant literatures on the theories of paradox, and value- belief-norm.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".