This implies that coefficients in the graph can be interpreted as the pollution level in a given year, relative to the pollution level in the period before the treatment plant received a grant. This literature also finds that federal grants that require local matching funds and specify the grants purpose, both characteristics of the Clean Water Act grants, tend to have higher pass-through rates. None of these ratios exceeds 1, though they are closer to 1 than are the values in TableVI. Each of the four pollutants which are part of these fishable and swimmable definitions declined rapidly during this period. [1] It is one of the United States' first and most influential modern environmental laws, and one of the most comprehensive air quality laws in the world. Moreover, we are not aware of any existing ex post estimates of the cost required to make a river-mile fishable or to decrease dissolved oxygen deficits. But municipal investments that occurred were closely connected to grants, and point estimates imply that the grant costs in our data accurately represent the actual change in spending. Fecal coliforms are approximately log-normally distributed, and BOD and TSS are somewhat skewed (Online Appendix FigureI). We interpret pre-1972 trends cautiously, however, because far fewer monitoring sites recorded data before the 1970s (Online Appendix TableI) and because the higher-quality monitoring networks (NAWQA, NASQAN, and HBN) focused their data collection after 1972. In the years after a grant, downstream waters have 12% lower dissolved oxygen deficits, and become 12% less likely to violate fishing standards. Online Appendix B.3 describes the rule we use to choose indicators for this list; it mainly reflects the pollutants used in the USEPAs (1974) first major water pollution report after the Clean Water Act. Notes. The inverse propensity score reweighted estimates are designed to reflect the entire population of U.S. cities. A third question involves substitution. Estimates come from regression specifications corresponding to TableV, columns (3) and (4). Secure .gov websites use HTTPS After 1990, the trends approach zero. WHAT'S AT STAKE? Row 8 equals row 1 divided by 30 times row 6. Home prices and rents are deflated to 2014 dollars by the Bureau of Labor Statistics consumer price index for urban consumers. This explanation is less relevant for the slowing trends in continuous variables like BOD, fecal coliforms, or TSS. They suggest similar conclusions as Panels A and B. Graphs show year fixed effects plus a constant from regressions that also control for monitoring site fixed effects, a day-of-year cubic polynomial, and an hour-of-day cubic polynomial, corresponding to equation (1) from the text. As mentioned in the introduction, other recent analyses estimate benefits of the Clean Water Act that are smaller than its costs, though these other estimates note that they may also provide a lower bound on benefits. This implies that pollution levels in upstream and downstream waters had similar trends before grants were received. The Clean Water Act, by contrast, mostly ignores nonpoint pollution sources like agriculture. Hence decreases in acidic sulfur air pollution may have contributed to decreases in acidic water pollution. Panel A shows modest evidence that in the years after a plant receives a grant, the values of homes within 0.25 mile of the downstream river increase. Second, due to nonuse or existence values, a person may value a clean river even if they never visit or live near that river. FigureIV shows event study graphs, which suggest similar conclusions as these regressions. What are pros and cons of legalism? GLS based on the number of underlying pollution readings in each plant downstream year is an efficient response to heteroskedasticity since we have grouped data. The decline in mercury is noteworthy given the recent controversy of the Mercury and Air Toxics Standards (MATS) policy that would regulate mercury from coal-fired power plants. We find suggestive evidence that ratios of measured benefits to costs follow sensible patterns, though not all estimates are precise. The main regression sample includes only a balanced panel of tracts that appear in all four censuses between 1970 and 2000; imputing values for missing homes hardly changes the ratio in column (4). Propensity score for appearing in the balanced panel of cities is estimated as a function of log city population, log city total municipal expenditure, city type (municipality or township), and census division fixed effects, where city population and expenditure are averaged over all years of the data. Research does find statistically significant but imperfect correlation between perceived local water pollution and objectively measured local water pollution (Faulkner etal. Graphs show coefficients on downstream times year-since-grant indicators from regressions which correspond to the specification of TableII. Our estimated ratio of the change in housing costs to total grant costs may provide a lower bound on the true benefit/cost ratio of this grant program because we abstract from nonuse (existence) values, general equilibrium effects, potential changes in sewer fees, and the roughly 5% longest recreational trips. This contrasts with the regulation of surface water quality in developing countries and in the historic United States (Ebenstein 2012; Alsan and Goldin forthcoming), where drinking water is less well filtered, piped water access less widespread, and stringent drinking water standards less common or less well enforced. We now discuss six reasons the ratios of measured benefits to costs from the previous subsection may provide a lower bound on the true benefit/cost ratio. Identification from a national time series is difficult, since other national shocks like the 19731975 and early 1980s recessions, high inflation and interest rates, and the OPEC crisis make the 1960s a poor counterfactual for the 1970s and 1980s. Sample size in all regressions is 6,336. The point estimates imply that the benefits of the Clean Water Acts municipal grants exceed their costs if these unmeasured components of willingness to pay are three or more times the components of willingness to pay that we measure. International Spillovers and Water Quality in Rivers: Do Countries Free Ride? E_{cy}=\beta D_{cy}+\upsilon _{c}+\eta _{wy}+\epsilon _{cy}. Online Appendix E.2 discusses how cost-effectiveness numbers change with alternative estimates of crowding out.22. We emphasize a few caveats in interpreting TableIV. \end{equation*}. CBO (1985) dictates this time period because it provides the national total state and local spending data underlying this graph. To analyze how Clean Water Act grants affected home values, we use a difference-in-differences estimate comparing the change in the log mean value of homes within a 0.25-, 1-, or 25-mile radius in any direction of the downstream river, before versus after the plant receives a grant, and between plants receiving grants in early versus late years. JavaScript appears to be disabled on this computer. The National Survey of Recreation and the Environment and its predecessor, the National Recreation Survey, do not systematically summarize trips taken and travel distances. 1251 et seq. Online Appendix E.3 discusses interpretations of our housing estimates under alternative pass-through numbers. Panel A reports estimates of how grants affect log mean home values. We considered a fourth repository, the Sustaining the Earths Watersheds: Agricultural Research Data System (STEWARDS), managed by the USDA. This chart shows the health benefits of the Clean Air Act programs that reduce levels of fine particles and . Most others are statistically indistinguishable from the mean grant, though there is some moderate (if statistically insignificant) heterogeneity in point estimates. Data cover the years 19622001. One is to estimate hedonic regressions excluding housing units in the same city as the wastewater treatment plant. With mounting public demand, Congress passed what remains one of the most popular and effective environmental laws our nation has ever had, the Clean Water Act. Connected dots show yearly values, dashed lines show 95% confidence interval, and 1962 is the reference category. We find weak evidence that local residents value these grants, though estimates of increases in housing values are generally smaller than costs of the grant projects. Overall, this evidence does not suggest dramatic heterogeneity in cost-effectiveness. This map assumes the same hedonic price function and reflects spatial heterogeneity in housing unit density.25 The map shows that the ratio of measured benefits to costs is larger in more populated counties. This assumption could also fail if changes in governments effectiveness at receiving grants are correlated with governments effectiveness at operating treatment plants. \end{equation}. The Clean Water Act first appeared in American legislation in 1948 with the Federal Water Pollution Control Act. Please click here to see any active alerts. Nutrients were not targeted in the original Clean Water Act but are a focus of current regulation. We assume that housing markets are competitive and that each consumer rents one house. Adler Robert W., Landman Jessica C., Cameron Diane M.. Angrist Joshua D., Pischke Jrn-Steffen, Artell Janne, Ahtiainen Heini, Pouta Eija, , Boscoe Francis P., Henry Kevin A., Zdeb Michael S., , Carson Richard T., Mitchell Robert Cameron, , Currie Janet, Zivin Joshua Graff, Meckel Katherine, Neidell Matthew, Schlenker Wolfram, , Deschenes Olivier, Greenstone Michael, Shapiro Joseph S., , Faulkner H., Green A., Pellaumail K., Weaver T., , Gianessi Leonard P., Peskin Henry M., , Jeon Yongsik, Herriges Joseph A., Kling Catherine L., Downing John, , Kahn Matthew E., Li Pei, Zhao Kaxuan, , Keiser David A., Kling Catherine L., Shapiro Joseph S., , Kling Catherine L., Phaneuf Daniel J., Zhao Jinhua, , Leggett Christopher G., Bockstael Nancy E., , Lipscomb Molly, Mobarak Ahmed Mushfiq, , Muehlenbachs Lucija, Spiller Elisheba, Timmins Christopher, , Muller Nicholas Z., Mendelsohn Robert, , Muller Nicholas Z., Mendelsohn Robert, Nordhaus William, , Olmstead Sheila M., Muehlenbachs Lucija A., Shih Jhih-Shyang, Chu Ziyan, Krupnick Alan J., , Peiser Richard B., Smith Lawrence B., , Poor P. Joan, Boyle Kevin J., Taylor Laura O., Bouchard Roy, , Smith Richard A., Alexander Richard B., Wolman M. Gordon, , Smith V. Kerry, Wolloh Carlos Valcarcel, , Steinwender Astrid, Gundacker Caludia, Wittmann Karl J., , Wu Junjie, Adams Richard M., Kling Catherine L., Tanaka Katsuya, , Oxford University Press is a department of the University of Oxford. The Clean Water Act was produced as a means for the EPA to implement pollution control programs alongside setting water quality standards for all contaminants in surface waters. Some studies in historic or developing country settings, where drinking water regulation is limited, relate surface water quality to health (Ebenstein 2012; Greenstone and Hanna 2014; Alsan and Goldin forthcoming). These regressions are described in equation (4) from the text. \end{align}, To estimate the pass-through of Clean Water Act grants to local expenditure, we regress cumulative municipal sewerage capital expenditures, \begin{equation}
But if local governments ultimately pay these costs, they could depress home values. Notes. The gradual effect of the grants is unsurprising since, as mentioned earlier, the EPA estimates that it took 2 to 10 years after a grant was received for construction to finish. Finally, we note one similarity between air and water pollution that may be relevant to policy design. A .gov website belongs to an official government organization in the United States. Decent Essays. The 1972 law was formally called the Federal Water Pollution Control Amendments, though we follow common practice in referring to it as the Clean Water Act. As the modification to the Federal Pollution Control Act of 1972, the Clean Water Act of 1977 is the most important federal law that protects the sanitation of water, which includes lakes, rivers, and coastal areas. Most analyses of recent U.S. water quality regulation count little direct benefit from improving human health (Lyon and Farrow 1995; Freeman 2000; USEPA 2000a; Olmstead 2010).29. Flint, Michigan, has recently had high lead levels in drinking water due to switching its water source from the Detroit River to the Flint River. A few points are worth noting. Effects of Clean Water Act Grants on Water Pollution. Market-based instruments are believed to be more cost-effective than alternatives. Column (4) reweights estimates using the inverse of the estimated propensity score for inclusion in the balanced panel of cities. Second, because the difference-in-differences specification used for home values does not use upstream areas as a counterfactual, it involves the stronger identifying assumption that areas with more and fewer grants would have had similar home price trends in the absence of the grants. Column (4) includes imputed home values for the nonmetro areas that were not in the 1970 or 1980 census.24, Clean Water Act Grants: Costs and Effects on Home Values (|${\$}$|2014B|$\mathrm n$|). First, people might have incomplete information about changes in water pollution and their welfare implications. Because most grants were given in the 1970s, we observe water pollution up to 10years before and 1525years after most grants. Panel C estimates the effect of grants on log housing units and Panel D on the log of the total value of the housing stock. Water Pollution Control Act 1948. (1972) The Clean Water Act (CWA) establishes the basic structure for regulating discharges of pollutants into the waters of the United States and regulating quality standards for surface waters. The definition also includes standards for boating and drinking water that we do not analyze. The Roles of Environmental Regulation, Productivity, and Trade. Standard errors are clustered by watershed. Column (3) include all homes within 1 mile, and column (4) includes homes within 25 miles. Column (1) shows estimates for homes within a quarter mile of downstream waters. Benefits and Costs of the Clean Air Act Section 812 of the 1990 Amendments (Public Law 101-549) requires EPA conduct scientifically reviewed studies of the impact of the Clean Air Act on the public health, economy and environment of the United States. See Kline and Walters (2016) for a related analysis in education. Focus on balancing cost and health . The Clean Air Act covers essentially all major polluting sectors. Temperature is increasing by about 1F per 40years, which is consistent with effects from climate change. The 1972 to 2001 change equals the fitted value Year*29 + Year*1[Year>=1972]*29. A few notes are important for interpreting these statistics. Misperception would be less important if most benefits of surface water quality accrue through recreation or aesthetics, since failing to perceive water pollution through any means would mean its effects on recreational demand are limited. Connected dots show yearly values, dashed lines show 95% confidence interval. Although a point estimate of 0.41 for the ratio of benefits to costs does not exceed 1, one should interpret this value in light of the discussion from the next subsection that it may be a lower bound on true benefits. Standard errors are clustered by watershed. People breathe the air quality where they live, and relocating to another airshed or some other defenses against air pollution are costly (Deschenes, Greenstone, and Shapiro 2017). It may be useful to highlight differences in how the Clean Air and Clean Water Acts answer four important questions about environmental regulation. Each grant significantly decreased pollution for 25 miles downstream, and these benefits last for around 30years. The bottom decile of counties, for example, includes ratios of measured benefits to costs of below 0.01. RFF is committed to being the most widely trusted source of research insights and policy solutions leading to a healthy environment and a thriving economy. Many travel demand papers use small surveys that report distance traveled to a specific lake or for a narrow region. Data on industrial water pollution in the 1960s is less detailed, though manufacturing water intake (which is highly correlated with pollution emissions) was flat between 1964 and 1973 due to increasing internal recycling of water (Becker 2016). Alternatively, the most distant travelers might be marginal. They then use the regression estimates from column (4) of TableV to calculate the ratio of the change in the value of housing and grant costs, separately by decile. Season controls are a cubic polynomial in day of year. These full data show more rapid declines before 1972 than after it. Column (1) reports a basic difference-in-differences regression with nominal dollars. 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