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Title: The impact of water quality in Narragansett Bay on housing prices

Authors:
ORCiD logo [1];  [2];  [2]
  1. ORISE Participant with U.S. EPA, Cincinnati Ohio USA
  2. Department of Environmental and Natural Resource Economics, University of Rhode Island, Kingston Rhode Island USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1373983
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Related Information: CHORUS Timestamp: 2017-10-23 17:38:45; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English

Citation Formats

Liu, Tingting, Opaluch, James J., and Uchida, Emi. The impact of water quality in Narragansett Bay on housing prices. United States: N. p., 2017. Web. doi:10.1002/2016WR019606.
Liu, Tingting, Opaluch, James J., & Uchida, Emi. The impact of water quality in Narragansett Bay on housing prices. United States. doi:10.1002/2016WR019606.
Liu, Tingting, Opaluch, James J., and Uchida, Emi. 2017. "The impact of water quality in Narragansett Bay on housing prices". United States. doi:10.1002/2016WR019606.
@article{osti_1373983,
title = {The impact of water quality in Narragansett Bay on housing prices},
author = {Liu, Tingting and Opaluch, James J. and Uchida, Emi},
abstractNote = {},
doi = {10.1002/2016WR019606},
journal = {Water Resources Research},
number = ,
volume = ,
place = {United States},
year = 2017,
month = 7
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on August 4, 2018
Publisher's Accepted Manuscript

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  • By combining estimates of the effect of air pollution on both property values and human health risks, it may be possible to draw inferences about individuals' valuations of risk. Although valuations thus derived must be interpreted carefully, they may be of use in determining the welfare effects of environmental and other regulatory policies. While extremely tentative, the results presented here point toward an interesting conclusion. Namely, the valuations of risk (and, by extension, of human life) revealed by individual choice in the housing market may be similar to those derived from labor market data. 13 references, 2 tables.
  • This paper investigates the methodological problems associated with the use of housing market data to measure the willingness to pay for clean air. With the use of a hedonic housing price model and data for the Boston metropolitan area, quantitative estimates of the willingness to pay for air quality improvements are generated. Marginal air pollution damages (as revealed in the housing market) are found to increase with the level of air pollution and with household income. The results are relatively sensitive to the specification of the hedonic housing price equation, but insensitive to the specification of the air quality demandmore » equation. 35 references.« less
  • The Colorado River Basin, poor in water and rich in energy resources, is examined to see if water quality can be sustained for U.S. and Mexican users. Activities to mine, process, transport, and convert resources to energy and to reclaim the land all require water, although development is expected to continue in spite of uncertainties. Projections of water requirements for different energy sources are summarized for the 1990-2000 time period. Restrictions on water supply derive from both quantity limitations and such institutional barriers as water rights and contracts. Projections of the sources and occurrences of salinity levels and pollutants aremore » detailed for each section of the Basin. Salinity is concluded to be the greatest source of concern for the U.S. and Mexico. Control strategies will prohibit the return of concentrated brines to the river, although the removal of water from the river for dilution purposes has more effect on salinity than the removal of salt load with the water.« less
  • To determine the quality of sediments and extent of contaminant impacts, a Sediment Quality Triad (SQT) study was conducted at 36 sites in the Corpus Christi Bay, Texas, USA, system. Fifteen of the 36 sites were located near storm-water outfalls, but 13 other sites (i.e., industrial and domestic outfalls, oil field-produced water discharges, and dredging activity) and eight reference sites were also evaluated. Sediment samples were collected and analyzed for physical-chemical characteristics, contaminant concentrations (metals, polycyclic aromatic hydrocarbons [PAHs], polychlorinated biphenyls [PCBs], and pesticides), toxicity, and a benthic index of biotic integrity (BIBI) composed of 10 independent metrics calculated formore » each site. This large data matrix was reduced using multivariate analysis to create new variables for each component representing overall means and containing most of the variance in the larger data set. The new variables were used to conduct the correlation analysis. Toxicity was significantly correlated with both chemistry and ecological responses, whereas no correlations between the benthic metrics and sediment chemistry were observed. Using the combined information from the SQT, four of the five most degraded sites were storm-water outfall sites. Although estuaries are naturally stressful environments because of salinity and temperature fluctuations, this ecosystem appears to have been compromised by anthropogenic influences similar to what has been observed for other heavily urbanized bay systems along the Texas and Gulf coast.« less