Showing posts with label Hedonic Valuation. Show all posts
Showing posts with label Hedonic Valuation. Show all posts

Friday, December 9, 2011

Valuing Green Infrastructure in Portland, Oregon

http://www.webmeets.com/files/papers/AERE/2011/74/GreenStreets-5-24-2011.pdf
Abstract: This study uses the hedonic price method to examine if proximity, abundance, and characteristics of green street facilities affect the sale price of single-family residential properties in the city of Portland, Oregon. Different methods for measuring proximity and abundance are explored with distance based on street network, and abundance of green streets at the census tract and census block level, producing statistically significant results. Sale prices increase as distance from the nearest green street facility increases although the magnitude of this effect is small. Preliminary results find that older green streets (10 years+), and those with a large number of trees (7 or more), have a positive effect on the sale price of nearby properties.

Over the past 20 years Portland has invested $1.4 billion in physical infrastructure projects to reduce combined sewer overflows. These projects, which are scheduled to be completed in December 2011, will reduce the number of overflows to the Willamette River to an average of four times each winter and once every third summer (Portland Bureau of Environmental Services 2011). Projects are funded, in large part, by Portland’s combined sewer/water bills, which are amongst the highest in the country (Frank 2011). Further rate increases to fund large capital projects may not be politically feasible, so in 2008 the city launched a new strategy, the $55 million “Grey to Green” program, to control stormwater runoff. Program goals include planting 33,000 yard trees and 50,000 street trees, adding 43 acres of ecoroofs, controlling invasive plant species, purchasing over 400 acres of natural areas, and constructing 920 new green street facilities.
...
Green streets are a low-impact development technique that use “vegetated facilities to manage stormwater runoff at its source” and include curb extensions, street planters, and rain gardens as well as “simple” green streets, which involve changes to existing planting areas between curbs and sidewalks.... Additional benefits attributed to these facilities include increased property values, traffic calming, better bike access, enhanced pedestrian safety, and added green space and wildlife habitat. These facilities “are more cost-effective than piping stormwater to a treatment plant” ...and are increasingly being promoted by city managers as an effective means for controlling stormwater runoff.

While green space and wildlife habitat have been estimated to increase the sale price of single-family residential properties (Donovan and Butry 2010; Mahan, Polasky, and Adams 2000; Netusil 2006), literature examining the relationship between green street facilities and the sale price of single-family residential properties is extremely limited. Ward et al. (2008) estimate that properties located in low-impact development project areas in Seattle, Washington sold for 3.5-5 percent more than properties in the same zip code located outside project areas. Williams and Wise (2009) reach the opposite conclusion finding that lots in Gainesville, Florida with low-impact development stormwater systems are valued less than lots that use conventional approaches.
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Home characteristics are of the expected sign and magnitude across specifications—a property’s sale price is estimated to increase at a diminishing rate as lot size and building square footage increase. Additional full and half bathrooms, increases in elevation (a proxy for views), and neighborhood characteristics such as percentage white and median income at the census tract level, are also found to have a significantly positive effect on sale price. Land cover variables on a property and in surrounding buffers are included to avoid omitted variable bias because green streets are often located in areas with a high percentage of impervious surface area.

Tree canopy on a property, and in surrounding buffers, is found to have a positive but diminishing effect on a property’s sale price; water, which is only present in the 200-foot to ¼ mile and ¼ mile to ½ mile buffers, has a large and significant effect on sale price.
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The economic magnitude of proximity, however, is small—increasing a property’s distance from a green street by 1,000 feet is estimated to increase its sale price from $430 (1/4 mile street network) to $851 (1/4 mile Euclidean).
...
The EPA estimates that between $331 and $450 billion of investment is needed over a 20-year period (2000 to 2019) to replace or update the existing sewer infrastructure in the United States.
...
by Noelwah R. Netusil 1, Zachary Levin 1 and Vivek Shandas 2
1. Reed College, Department of Economics, 3203 SE Woodstock Boulevard, Portland, Oregon 97202
2. Portland State University, Nohad A. Toulan School of Urban Studies and Planning, Portland, Oregon 97201
Association of Environmental and Resource Economists www.aere.org/ 2011 Summer Conference Seattle, Washington http://www.webmeets.com/AERE/2011/
June 10, 2011
Keywords: low impact development; green streets; hedonic price method; stormwater; Portland, Oregon

Saturday, December 3, 2011

The Evolving Impact of the Ogallala Aquifer: Agricultural Adaptation to Groundwater and Climate

http://www.nber.org/papers/w17625 
Agriculture on the American Great Plains has been constrained by historical water scarcity. After World War II, technological improvements made groundwater from the Ogallala aquifer available for irrigation. Comparing counties over the Ogallala with nearby similar counties, groundwater access increased irrigation intensity and initially reduced the impact of droughts. Over time, land-use adjusted toward water-intensive crops and drought-sensitivity increased; conversely, farmers in water-scarce counties maintained drought-resistant practices that fully mitigated higher drought-sensitivity. Land values capitalized the Ogallala's value at $26 billion in 1974; as extraction remained high and water levels declined, the Ogallala's value fell to $9 billion in 2002.

by Richard Hornbeck and Pinar Keskin
National Bureau of Economic Research (NBER) www.NBER.org
NBER Working Paper No. 17625; Issued in November 2011

Friday, August 12, 2011

New York City Parks and Their Impact on Residential Property Values

http://www.nycedc.com/NewsPublications/Newsletters/EconomicSnapshot/Documents/EconomicSnapshotAugust2011.pdf
The City of New York Department of Parks & Recreation (“Parks Department”) oversees about 29,000 acres of land, slightly less than a fifth of all City land. Parks constitute the majority of such space: 16,600 acres, or 11 percent of total City land. The remaining space under the Parks Department’s management includes golf courses, stadiums, tennis courts, etc.  According to a report by The Trust for Public Land (“Trust”), in 2009, New York City had the highest percentage of park land among 14 other cities identified with similarly high population density, surpassing areas such as Washington. D.C, San Francisco and Boston.

Over a thousand acres of park land was added to the City from 2003 to 2011 according to property data from the NYC Department of Finance (DOF). About two thirds (794 acres) of the increase was due to one park reclassification and the re-opening of the McCarren Park in 2005, which was a pool park originally closed in 1984 and located in Williamsburg, Brooklyn
.
With approximately 25 million visitors, Central Park is the most visited city park in the U.S., according to the Trust. 7 NYC parks ranked in the country’s top 50 visited parks, including Prospect Park, Battery Park and Bryant Park.

Parks are amenities whose value is difficult to assess due to many intangible factors. However, in so far as they affect the quality of life, land values should vary based on the proximity to parks.

The New York City Economic Development Corporation NYCEDC analyzed property data around three of the City’s parks: Central Park (Manhattan), Prospect Park (Brooklyn) and the recently opened Highline Park (Manhattan). The analysis finds that land values of residential properties increase the closer they are to a park. Additionally, the increase in land values over time specifically for lower priced properties is also correlated with the proximity to the park.  This analysis is based on market value of land per square foot as estimated by NYC DOF. Data are from the Real Property Assessment Database between Fiscal Year 2002/2003 and
Fiscal Year 2010/2011.

On the east side of Central park, median values for properties between a 5 and 10 minute walk were 11 percent lower than those within 5 minutes from the park assuming a casual walking pace of 2-3 miles per hour. A similar trend was observed on the west and south sides of Central Park, Prospect Park, and the Highline. 

From 2003 to 2011, property values closest to the parks escalated over time at a faster rate in lower priced areas (relative to their neighborhoods bordering the park), such as Flatbush, Central Park West and Hudson Yards. Before the construction of the Highline Park in 2003, surrounding residential properties were valued 8 percent below the overall median for Manhattan, but had appreciated beyond borough-wide values by 2011. The trends among neighborhoods with relatively higher land values were not as conclusive

New York City Department  of Economic Development www.NYCEDC.org
Economic Snapshot August, 2011

Tuesday, June 21, 2011

Measuring the welfare effects of infrastructure: A simple spatial equilibrium evaluation of Dutch railway proposals

http://www.sciencedirect.com/science/article/pii/S0739885910001265
Abstract: We specify a spatial computable general equilibrium model for the Netherlands based on the so-called New Economic Geography. The model distinguishes 14 sectors, two modes of transportation and over 500 municipalities. Key parameters are estimated by fitting predicted interregional trade flows to bi-regional input-output data. The model is then calibrated to a baseline scenario for 2020. From there, the transport grid is modified in line with six proposals for changes in rail infrastructure. The effects of these changes on employment and welfare are computed. We find that the most ambitious project leads to a redistribution of around 8000 jobs from regions further out to regions along the line and especially at the end of it. The net national welfare effect is equivalent to a 250 million euro (0.016%) increase in GDP.

by Thijs Knaapa, Corresponding Author Contact Information, E-mail The Corresponding Author and Jan Oosterhavenb, E-mail The Corresponding Author
a Amsterdam School of Economics, Valckenierstraat 65-67, 1018 XE Amsterdam, The Netherlands
b University of Groningen, Faculty of Economics and Business, Postbus 800, 9700 AV Groningen, The Netherlands
Research in Transportation Economics
Volume 31, Issue 1, 2011, Pages 19-28; Available online 2 February 2011
Special Issue: The Economic Impact of Changing Accessibility
Keywords: Transport infrastructure; Computable General Equilibrium; New Economic Geography; Interregional input-output data

Monday, June 13, 2011

Valuation of ecosystem services from rural landscapes using agricultural land prices

Abstract: Agricultural lands, primarily managed for crops and livestock production, provide various ecosystem services (ES) to people. In theory, the economic value of the service flows that can be captured privately is capitalized into land prices. This study proposes an integrative framework to characterize the ecosystem services associated with agricultural lands. Using that framework, we demonstrate how hedonic analysis of agricultural land prices can be used to estimate the private values of land-based ES. The model is estimated with data from southwestern Michigan, USA. Results suggest that ES values are associated with lakes, rivers, wetlands, forests and conservation lands in rural landscapes. Ecosystem services that support direct use values, such as recreational and aesthetic services, are likely to be perceived by land owners and capitalized in land prices. Some regulating services that provide indirect use values may be partially capitalized in a land parcel's relationship to natural resources and landscapes. Other ES from the land parcel and its surroundings are unlikely to be capitalized due to lack of private incentives, unawareness, or small perceived value. The private ES values measured in this study highlight opportunities to design cost-effective public policies that factor in the value of private benefits from agricultural lands.
Research Highlights
► Land prices can reveal the economic values of many ecosystem services.
► A new framework shows when land prices can measure ecosystem service values.
► Recreational and aesthetic ecosystem services have high value in southern Michigan.
► Surrounding landscapes and nearby water bodies add value to parcels of farmland.
► Environmental values embodied in land prices can help design conservation policy.

by Shan Malow and Scott M. Swinton; both of the Department of Agricultural, Food and Resource Economics, Michigan State University, 20 Cook Hall, East Lansing, MI, USA. Tel.: + 1 517 256 5043; fax: + 1 517 432 1800.
Ecological Economics via Elsevier Science Direct www.ScienceDirect.com
Volume 70, Issue 9; 15 July 2011; Pages 1649-1659
Special Section - Governing the Commons: Learning from Field and Laboratory Experiments
Keywords: Rural landscapes; Hedonic; Ecosystem services; Agricultural land price; Geographic Information System

Sunday, June 12, 2011

The real price of parking policy

http://www.sciencedirect.com/science/article/pii/S0094119011000155
Abstract: This paper is the first to empirically examine the residents’ willingness to pay for on-street parking permits as well as the cost of cruising using an identification methodology based on house prices for Amsterdam. The residents’ cost of cruising is about €1 per day. The residents’ willingness to pay for a parking permit is about €10 per day.

by Jos van Ommeren, Derk Wentink and Jasper Dekkers; all of the Department of Spatial Economics, VU University, FEWEB, De Boelelaan, 1081 HV Amsterdam, The Netherlands
Journal of Urban Economics via Elseier Science Direct www.ScienceDirect.com
Volume 70, Issue 1; July, 2011; Pages 25-31
Keywords: Street parking; Cruising; House prices; Parking policy; Parking permits; Residential parking

Friday, June 10, 2011

Using Frontier Models to Mitigate Omitted Variable Bias in Hedonic Pricing Models: A Case Study for Air Quality in Bogotá, Colombia

Abstract: Hedonic pricing models use property value differentials to value changes in environmental quality. If unmeasured quality attributes of residential properties are correlated with an environmental quality measure of interest, conventional methods for estimating implicit prices will be biased. Because many unmeasured quality measures tend to be asymmetrically distributed across properties, it may be possible to mitigate this bias by estimating a heteroskedastic frontier regression model. This approach is demonstrated for a hedonic price function that values air quality in Bogotá, Colombia.

Coefficient estimates for the second (heteroskedastic) frontier model (HFM) for structural characteristics are of expected signs. Apartments located in neighborhoods with higher socioeconomic stratum rent for more. Apartments located at higher elevations rent for more. Apartments far away from main roads rent for more. The estimated coefficient for distance to drainage ditches is negative, but not statistically significant. Drainage ditches in Bogotá are generally unattractive, and may be viewed as a disamenity. Apartments near metropolitan (large) parks rent for more than apartments located far away. Zonal (small local) parks did not have a significant impact on rents. Apartments located closer to the central business districts (as measured by commute time) have higher rents. Apartments located in areas with higher crime rates have lower rents. Of particular interest is the estimated coefficient on PM10 (particulate pollution) was -0.0908. This was negative and significant at all conventional levels, implying that higher PM10 concentrations are a disamenity.

Some effort was made to determine which neighborhood characteristics were most important for explaining variation in the variance of the asymmetric error component. In particular, we searched for neighborhood characteristics that were correlated with air quality. We found a strong negative correlation between elevation and environmental quality (-0.5447). When elevation and its interaction with PM10 are included as variables that explain the variance of the asymmetric error component, these variables were not significant in the HFM specification.

The coefficient for Crime was -0.0039, Elevation 0.0604, the log of distance from a drainage ditch -0.0018, the log of distance from the main road 0.0232 and the log of commuting time was -0.0643.

by Fernando Carriazo, Richard Ready and James Shortle

Universidad de los Andes–Facultad de Economía–Cede http://economia.uniandes.edu.co
Document 2011-1; 2011

Wednesday, May 25, 2011

Making—or Picking—Winners: Evidence of Internal and External Price Effects in Historic Preservation Policies

http://onlinelibrary.wiley.com/doi/10.1111/j.1540-6229.2010.00293.x/abstract
Abstract: This article measures the impacts of historic preservation regulations on property values inside and outside of officially designated historic districts. The analysis relies on a model of historic designation to control for the tendency to designate higher-quality properties. An instrumental variables model using rich data on historic significance corrects for this bias. The results for Chicago during the 1990s indicate that price impacts from designation inside a landmark district vary considerably across homes inside the districts. Controlling for extant historic quality, which the market values positively, restrictions apparently have negative price effects on average both within and outside districts.
...
An April 2009 working paper available at http://ftp.iza.org/dp4110.pdf noted that:

OLS results suggest large price premiums (approximately 25%) for homes in preserved districts. (The premium rises to 60% in a totally unconditional model where only DISTRICT is included and all other hedonic attributes are omitted.)
...
TSLS estimation indicated that the effect of being included in a historic district on sales price is negative 19% (with a 95% confidence interval ranging from -29% to -7%). The large district effect likely reflects several forces. On the one hand, inclusion in a historic district restricts redevelopment options of owners (and buyers), which should lower the value of the property. On the other hand, district designation may offer many benefits, like tax benefits and possibly a kind of certification of (or signal for) the property’s cachet. For attached housing in Chicago, at least, the tax benefits are outweighed by the restrictions on renovation. The cachet effects also appear minimal given the model with excellent controls for historical quality. Buildings with names in the CHRS sell for a 6% premium on top of a 5-8% premium for being in the CHRS. Furthermore, the stability that district designation brings to the neighborhood’s overall character (in terms of the types of land uses and buildings’ external appearance) may be seen as disamenities by buyers in districts. Homes in districts may relatively lack access to modern urban conveniences like shopping, parking, and other mixed uses.
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Every 10% of the block group occupied by a district predicts a 2% increase in sale price for all homes in that block group.
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The effects of designation on nearby properties are shown to be statistically significant and substantively important.... negative spillovers can be economically important; condo and townhome prices positively
correlate with landmark density.  As a very crude estimate, ... assuming that the sample of sales is representative of Chicago’s housing, removing all landmark buildings would lower home values by $263 on average (winners gain $14,320 on average while losers lose $4,899 on average and greatly outnumber the winners).  Similarly, removing all districts would lower home values by $45 on average (winners gain $59,203 average while losers lose $10,804 on average and again greatly outnumber the winners). Seen in this redistributive light, the historic preservation policy appears to concentrate the harms of designation while spreading the gains widely. The combined effect of landmark buildings and districts shown here has a small net positive effect ($309 is roughly 0.2% of mean home value). This net effect masks how roughly 7% of the units would gain by the absence of landmarks by 13% of their property value, but they are outnumbered by 4:1 by those whose home values would suffer without the landmarks by 4%. Large values are at stake for the 35% of the units that are either winners or losers in Chicago.

The study also reports coefficients for parking, parking spot, waterfront, distance to the Central Business District, distance to Lake Michigan, distance to water, distance to Chicago Transit Authority (CTA) station and distance to a park.


by Douglas S. Noonan 1 and Douglas J. Krupka 2
1. School of Public Policy, Georgia Institute of Technology, Atlanta, GA 30332 or douglas.noonan@pubpolicy.gatech.edu
2. Institute for Research on Labor, Employment and the Economy (IRLEE) and Ford School of Public Policy, University of Michigan, Ann Arbor, MI 48109-1220 and IZA (Institute for the Study of Labor), Bonn, Germany, D-53072. Doug Krupka passed away on June 23, 2010. He will be missed.
Real Estate Economics via Wiley Online Library http://onlinelibrary.wiley.com Volume 39, Issue 2; Summer 2011, article first published online March 1, 2011; Pages 379–407,
American Real Estate and Urban Economics Association
DOI: 10.1111/j.1540-6229.2010.00293.x

Sunday, May 8, 2011

Methods for Estimating Economic Damages from Environmental Contamination

Abstract: While significant attention has been given to the decrease in property values associated with environmental contamination (i.e., stigma effects), little attention has been given to the stigma impacts on the local community as a whole. In addition, most estimates of stigma damages have been performed within a community, using distance from contamination or comparing contamination and non contamination areas in the community. In this article we determine stigma damages by analyzing property values in comparable communities and develop the rationale for estimating the community impact associated with environmental contamination that extends beyond the impact on individual property owners. These impacts were estimated for the environmental contamination from zinc smelting in the municipality of Blackwell, Oklahoma. The impacts were measured in terms of lost ad valorem tax revenue using hedonic pricing and average treatment effects.
...
A three bedroom, two bathroom, 1,500 square foot, 20 year old house (with a total of nine rooms), with garage and central air, was estimated to have a price of $42,788 in Blackwell in 2009. The same house would have a price of $56,665 in Hugo and $91,102 in Pauls Valley.
...
average treatment effects were calculated to demonstrate causality. Average treatment effect is a methodology that compares outcomes between a control group and a treatment group. For this research, the treatment group consisted of properties located in Blackwell. Average treatment effects uses ordinary least squares to estimate coefficients on the difference in values between matched observations between the control and treatment groups; by differencing the observed values of matched observations, only those characteristics for which significant differences exist remain in the regression to explain the observed difference in prices. Theoretically, the only difference between the matched observations is the treatment, or in this case, the location of the property. The procedure matched property records from both groups using a propensity score, which is an index based upon property characteristics, and a kernel matching algorithm that matches each member of the treatment group to an average of control members in a corresponding block (or subset) of observations. This two-stage matching procedure minimizes the error that can be introduced into the analysis due to matching observations using multiple characteristics. Tests were used to ensure that the statistical properties of the matched treatment and control groups across subsets were similar prior to computing the average treatment effect. Due to the complexity involved in matching over 10,000 observations in the pooled dataset, this analysis was performed on each year of data in the sample....

The results of the average treatment effects provide strong evidence that, in all but one year, the difference in housing prices between Blackwell and the other communities was due to the property’s location. A property lost between 25% of its value (measured as price) in 2004 and 61% of its value in 2008 by being in Blackwell. Only in 2007 were prices in Blackwell statistically comparable to those in other communities.

The purpose of this paper, however, is not simply to estimate the property value loss due to the contamination in Blackwell, but to estimate the impact such value loss had on public services funded through ad valorem taxes. The hedonics model is used to estimate the lost value of existing residential real estate as a result of the stigma associated with the Zinc smelter contamination.
...
[With respect to] lost property tax associated with the reduced value of existing residential real estate as a result of the stigma damages, for past damages, the lost value of existing homes was estimated as the difference between the hedonic price prediction in Blackwell and the average across all other communities, using the features of an average home described above; this difference is $28,150. Future lost values were estimated as the difference between the predicted price in Blackwell and next lowest predicted price, which was in Hugo, or $14,517.

To estimate the lost value of homes not built a simple model of expected number of homes was used as;
Housing starts (%built 1980-2007) =f(popcity, popcounty) where;
popcity = the % change in the population of the 16 communities from 1980 – 2007
popcounty = the % change in the county population of the 16 communities, 1980 – 2007

This model predicted that housing starts should have increased by 13.3%, however actual starts were only 7.4%. The total housing units in Blackwell are estimated at 3,527 in 2009 and thus an estimated 209 houses were not built as a result of the stigma. The cost per square foot of building these houses was estimated as the current (2009) value of construction ($83 per square foot) deflated to each specific year.

For the years from 1980 to 2009, the actual values for millage rate and sales tax rate are known. For years beyond 2009, the discounted value of Stigma is measured using the 2009 value and a discount rate of four percent....

The total impact, past and future associated with the stigma attached to the environmental contamination from the zinc smelter is estimated at approximately $12.7 million. This represents the lost revenues to the city of Blackwell from the sales and property taxes that would have occurred in the absence of the environmental contamination. While these represent the direct impacts of the contamination on the city tax collections, additional damages may occur as a result of not spending this $12.7 million on city infrastructure and services. That is, because the city has not provided the additional services or facilities associated with the $12.7 million, the “livability” of the city is and will continue to be reduced.

by Dave Shideler 1 and Michael R. Dicks 2
1. Oklahoma State University dave.shideler@okstate.edu
2. Oklahoma State University michael.dicks@okstate.edu
Southern Agricultural Economics Association; 2011 Annual Meeting, February 5-8, 2011, Corpus Christi, Texas; 14 pages
Keywords: environmental damages, environmental contamination

Saturday, May 7, 2011

The value of disappearing beaches: A hedonic pricing model with endogenous beach width


http://dx.doi.org/10.1016/j.jeem.2010.09.003
Abstract: Beach nourishment is a policy used to rebuild eroding beaches with sand dredged from other locations. Previous studies indicate that beach width positively affects coastal property values, but these studies ignore the dynamic features of beaches and the feedback that nourishment has on shoreline retreat. We correct for the resulting attenuation and endogeneity bias in a hedonic property value model by instrumenting for beach width using spatially varying coastal geological features. We find that the beach width coefficient is nearly five times larger than the OLS estimate, suggesting that beach width is a much larger portion of property value than previously thought. We use the empirical results to parameterize a dynamic optimization model of beach nourishment decisions and show that the predicted interval between nourishment projects is closer to what we observe in the data when we use the estimate from the instrumental variables model rather than OLS. As coastal communities adapt to climate change, we find that the long-term net value of coastal residential property can fall by as much as 52% when erosion rate triples and cost of nourishment sand quadruples.

by Sathya GopalakrishnanaCorresponding Author Contact InformationE-mail The Corresponding Author, Martin D. Smithab, Jordan M. Slotta and A. Brad Murrayac
a Nicholas School of the Environment, Duke University, Box 90328, Durham, NC 27708, USA
b Department of Economics, Duke University, Durham, NC 27708, USA
c Center for Nonlinear and Complex Systems, Duke University, Durham, NC 27708, USA
Received 27 May 2009.  
Available online 14 December 2010. 

Corresponding Author Contact InformationCorresponding author. Fax: +1 919 684 8741. 

Journal of Environmental Economics and Management via Elsevier Science Direct www.ScienceDirect.com
Volume 61, Issue 3; May, 2011, Pages 297-310
Keywords: Beach nourishment; Beach width; Climate change adaptation; Erosion; Hedonic; Morpho-economics; Non-market valuation

Monday, May 2, 2011

A Bright Spot for Solar: Berkeley Lab Study Finds that Photovoltaic Systems Boost the Sales Price of California Homes

http://newscenter.lbl.gov/news-releases/2011/04/21/bright-spot-for-solar/

New research by the U.S. Department of Energy’s (DOE) Lawrence Berkeley National Laboratory finds strong evidence that homes with solar photovoltaic (PV) systems sell for a premium over homes without solar systems.

“We find compelling evidence that solar PV systems in California have boosted home sales prices,” says the lead author Ben Hoen, a researcher at Berkeley Lab. “These average sales price premiums appear to be comparable with the average investment that homeowners have made to install PV systems in California, and of course homeowners also benefit from energy bill savings after PV system installation and prior to home sale.”

The research finds that homes with PV in California have sold for a premium, expressed in dollars per watt of installed PV, of approximately $3.90 to $6.40/watt. This corresponds to an average home sales price premium of approximately $17,000 for a relatively new 3,100 watt PV system (the average size of PV systems in the Berkeley Lab dataset), and compares to an average investment that homeowners have made to install PV systems in California of approximately $5/W over the 2001-2009 period.

“This is a sizeable effect,” says Ryan Wiser, a Berkeley Lab scientist and co-author. “This research might influence the decisions of homeowners considering installing a PV system and of home buyers considering buying a home with PV already installed. Even new home builders that are contemplating PV as a component of their homes can benefit from this research.”

Approximately 2,100 megawatts (MW) of grid-connected solar PV have been installed in the U.S. California has been and continues to be the country’s largest market for PV, with nearly 1,000 MW of installed capacity. California is also approaching 100,000 individual PV systems installed, more than 90% of which are residential. Though an increasing number of homes with PV systems have sold, relatively little research has been performed to estimate the impacts of those PV systems on home sales prices.

The Berkeley Lab research is the first to empirically explore the existence and magnitude of residential PV sales price impacts across a large number of homes and over a wide geographic area. The research analyzed a dataset of more than 72,000 California homes that sold from 2000 through mid-2009, approximately 2,000 of which had a PV system at the time of sale. “This is the most comprehensive and data-rich analysis to date of the potential influence of PV systems on home sales prices,” says co-author and San Diego State University Economics Department Chair Mark Thayer.

The research controlled for a large number of factors that might influence results, such as housing market fluctuations, neighborhood effects, the age of the home, and the size of the home and the parcel on which it was located. The resulting premiums associated with PV systems were consistent across a large number of model specifications and robustness tests.

The research also shows that, as PV systems age, the premium enjoyed at the time of home sale decreases. Additionally, existing homes with PV systems are found to have commanded a larger sales price premium than new homes with similarly sized PV systems.

“One reason for the disparity between existing and new homes with PV might be that new home builders also gain value from PV as a market differentiator that speeds the home sales process, a factor not analyzed in the Berkeley Lab study,” says Berkeley Lab researcher and co-author Peter Cappers. “More research is warranted to better understand these and related impacts.”

This work was supported by the Office of Energy Efficiency and Renewable Energy (Solar Energy Technologies Program) of the U.S. Department of Energy, by the National Renewable Energy Laboratory and by the Clean Energy States Alliance.

Additional Information
Download the full report, “An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California
Download a two-page summary of the report’s key findings
For more information about DOE’s Solar Energy Technologies Program, visit www1.eere.energy.gov/solar
For more information about the National Renewable Energy Laboratory, visit www.nrel.gov
For more information about the Clean Energy States Alliance, visit www.cleanenergystates.org

Lawrence Berekely National Laboratory www.lbl.gov
Press Release dated April 21, 2011
via/hat tip New York Times Green Blog www.NYTimes.com