The costs of social and environmental degradation in affluent economies
Bibliographic record
Abstract
IIndividuals’ attempts to defend from the deterioration of common goods, such as natural and social capital, stimulate defensive growth, that is new economic activity driven by private solutions to collective problems. In this paper, we provide an estimate of the value of defensive expenditures - the individual consumption needed to protect subjective well-being against collective problems - using a compensating differentials approach; that is we estimate the monetary valuation of social and environmental disruption for which no market price exists. To do so, we conduct a regression analysis of life satisfaction on aggregate consumption levels and various social and environmental externalities (which we refer to as "bads"). Our estimates indicate that the consumption needed to defend against collective problems is worth nearly a quarter of actual individual consumption. In terms of national income, this is equivalent to nearly half Gross Domestic Product per capita in affluent economies. Defensive consumption stimulates economic growth, however, in so far as the equivalent of nearly half of growth is defensive, its expansion does not reflect true progress.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".