Contamination by the Israeli military industry and its impact on apartment sale prices in an adjacent Tel Aviv neighborhood: a hedonic pricing model study
Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
A window of opportunity opened to investigate present effects of past environmental policies of the Israel Defense Forces and its military industry when one of its facilities, Taas Magen, was required to close down in 1997. For decades, untreated discharge was released into absorption pits, which contaminated the soil and groundwater with many toxic compounds, including the carcinogen trichloroethylene. Surrounding the industrial facility is a housing market, consisting of more than 11,000 apartments, directly affected by the contamination.\n\nThis hedonic pricing model study quantifies the effect of the environmental degradation due to the operations of Taas Magen on the nearby housing market. This was achieved by examining the effect distance away from Taas had on apartment sale prices. Results show that apartments near the facility were more negatively impacted than those further away. Next, the model was expanded to isolate the impact of the contamination from that of the facility by incorporating information regarding the public’s awareness of the degradation. The resulting regression coefficients suggest that only after public acknowledgement of the harm did distance significantly impact prices. Therefore, it is the environmental contamination and not necessarily the facility that negatively impacted prices.\n\nAs a result of the contamination, the mean apartment price loss was -$24,650.74 (’06 dollars), which is approximately 14% of an apartment’s average value. Losses to the surrounding housing market are estimated at $267 to $287 million. These are only a minimum of the total social and economic costs incurred by the greater community, which are estimated to total at least $358 million.\n\nAssuming the government were to fund the estimated $33 million cleanup costs, a minute gain of 1.5% in the value of this $2.2 billion housing market would create the necessary economic benefit to offset the cost of decontaminating the site. Similarly, a more technologically advanced, yet expensive, iron nanoparticle remediation process would require a gain of 10.1% to offset its costs. Such market gains are not unreasonable given a drastic decrease in environmental harms. Furthermore, reclaiming a lost aquifer, reduction in human health risks, restoration of environmental integrity, and further increases to the housing market are all benefits of remediation that may greatly overshadow the concomitant cleanup costs.\n\nFuture research should focus on quantifying all these benefits. With such information at hand, it will undoubtedly become apparent that remediation is socially and economically feasible.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle