Green behavioral (in)consistencies: are pro-environmental behaviors in different domains substitutes or complements?
Bibliographic record
Abstract
Households’ consumption patterns and behaviors have profound influence on natural resources and environmental quality. This paper explores whether environmental behaviors and willingness to pay (WTP) in the household domains transport, energy consumption and water consumption are substitutes or complements. Using a cross-country data set from the Organization for Economic Cooperation and Development Survey on Environmental Attitudes and Behavior from 2008, a random-effects (ordered) probit model is used to answer this question for the following countries: Australia, Canada, France, Mexico, Italy, and South Korea. It is found that in most countries, actual environmental behaviors are substitutes, while WTP for environmental public goods in different domains is mostly complementary. Grounding in these results, policies aiming to encourage overall environmentally friendly lifestyles should therefore be all-encompassing of several public domains, instead of individual ones, to avoid the risk of negative spillovers.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.026 | 0.002 |
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; both teacher heads agree on what is shown here.
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".