The Effect of Three Incineration Plants on Residential Property Values in Hangzhou, China
Bibliographic record
Abstract
Incineration plants and derelict industrial sites can have a number of adverse effects on the local environment and social welfare, including the diminution of property values. Although there are many incineration plants in China, there has been relatively little research done to quantify their negative externality effects. This study therefore considers the effects of three municipal incineration plants in Hangzhou city on residential property values. Hedonic pricing modeling of 2,200 residential transactions in over 70 multifamily buildings within ten kilometers of the incineration plants over a one year period including 2014 and 2015 is carried out. Generally, the results show that the neighboring properties show decreases in the initial listing price of up to 25%, declining until the effect is gone about three kilometers from the incinerator. The most consistent losses are approximately 10% between 1-2 kilometers from the nearest incinerator. These results are comparable to similar situations in the United States and Canada
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".