| The following information is adapted from:Wolf, K. L. 2007 (August). City Trees and Property Values. Arborist News 16, 4: 34-36.
 REMOVE ALL <BR/> IN CODE. Urban nature in all its forms—urban forests, parks, greenbelts—provides a range of benefits 
              and services to society, most of which are not readily bought and sold. Economists calculate 
              the “use value” of nature and ecosystems when tangible goods can be exchanged at market 
              prices, such as timber or fisheries products. “Non-use values” set up a more complex 
              economic puzzle. How can we estimate values for the many indirect, intangible services and 
              functions that urban nature provides, such as beauty, ecosystem services, and psychological 
              benefits?  
              The issue of valuation has become paramount in our society. What is not counted does not 
              count in today’s public arena. When markets do not exist for a resource in question then 
              efforts are made to derive monetary value1. Natural settings, ranging from wildland to urban, 
              offer many beneficial life-support functions. Nonmarket valuation techniques arose from the 
              desire to represent the natural environment in the decision-making calculus2 within 
              communities.  
              This article serves two purposes. First, it will discuss the need for nonmarket valuations in 
              local decision making. Then it will introduce the technique called hedonic pricing, including 
              a summary of valuation studies over several decades.  
              Valuation & Decisions Land ownership and improvements can be expensive in urban areas. If the values of 
              intangibles are not represented, hard costs become powerful disincentives to invest in natural 
              capital. Without some indicator of economic value, there is little financial incentive to 
              consider urban nature in land-use decisions, market transactions, and capital investment 
              budgets. 
              In the public sector, local leaders often make decisions about natural resources based on 
              cost–benefit analysis. Any public investment or policy proposal that incurs public costs or 
              affects private development brings forward advocates with evidence on how much market 
              value will be gained or lost. Those who favor conserving or creating nonproductive nature 
              are often at a disadvantage, as they cannot readily express the monetary gains or losses 
              arising from environmental changes.  
              The challenge is that city trees and open space are public goods.3 Consumption of a public 
              good by one individual does not reduce the amount of the good available for consumption by 
              others. Another key property of public goods is that they are nonexcludable. Any number of 
              people who walk under a splendid street tree will enjoy its shade and beauty immediately or 
              over the course of several decades, irrespective of who pays for the planting and maintenance of the tree. It is nearly impossible to exclude any nonpaying individuals from consuming the 
              good. 
              Government authorities have often invested in public goods that members of society accept 
              as providing value, such as education or emergency response systems. Having some way to 
              estimate the value of nature’s services helps local governments to weigh costs against returns 
              from development or prioritize payments for green versus gray infrastructure. 
               Nonmarket valuation is helpful in the private sector as well. The pursuit of profit is based on 
              estimates of costs and revenues. Nonmarket valuations offer the developer and land manager 
              information to estimate return on investment for land development projects. For instance, 
              there may be extra costs associated with taking greater care to protect trees during site 
              preparation, but those costs may be offset by higher purchase prices for the building lots. 
              Hedonic Pricing Method   
              Although the value of nature to property owners and communities is rarely known in precise 
              dollars, its existence can be detected indirectly. Methods for nonmarket valuation include 
              travel cost method, deferred and replacement cost analysis, and contingent valuation 
              method.4  
              Hedonic pricing is a revealed willingness-to-pay technique. It attempts to capture the 
              proportion of property prices that are derived from the non-use value of trees and other 
              natural elements. It is a partial measure of value, obtained from indirect inferences about 
              spending and prices.  
              Hedonic pricing studies have been done since the 1960s. Most use least squares regression 
              analysis as the primary statistical tool. Property prices or assessments are regressed against 
              sets of control variables: environmental attributes of the house or property, other 
              neighborhood variables (such as the quality of local schools), and structural characteristics of 
              the house (such as number of bedrooms). One can then estimate how a change in a natural 
              feature, such as yard trees or proximity to a nearby park, is related to a change in property 
              value, holding other characteristics of the property constant. The advantage of this method 
              over others is its use of actual market transactions versus hypothetical questionnaires or 
              indirect assessments. 
               Urban areas are ideal for application of hedonic pricing because there is usually a wealth of 
              data available on house and property sales. Geographic databases enable analysis of value 
              increments based on proximity to natural features such as parks. Hedonic values can be 
              capitalized by local governments as increased property tax assessments or as excise taxes 
              paid on property sales.5 The calculated value across all properties influenced by a natural 
              feature can be aggregated, and the case may be made that the sum is adequate to pay for 
              annual debt and maintenance of the feature, such as street trees or greenspace. 
              Review of Valuations 
               This overview of hedonic studies focuses on properties in urban settings. There have also 
              been polls of appraisers’ judgments of property valuations and surveys of homebuyers’ 
              opinions to calculate economic value. The remainder of this section emphasizes studies using 
              statistical analysis of market sales or appraisals.  
              Yard and Street Trees 
               Studies about trees and residential property values have evaluated a range of urban forest and 
              landscape conditions on single-family homes. Although there have been a few exceptions, 
              homes with trees are generally preferred to comparable homes without trees, with the trend 
              across studies being a price increase of about seven percent. Here are results from a selection 
              of studies:  TABLE: Price Increase Condition
 2% mature yard trees (greater than 9-inch dbh)6
 3-5% trees in front yard landscaping7
 6-9% good tree cover in a neighborhood8
 10-15% mature trees in high-income neighborhoods9
  
              Price effect is variable and depends on how tree presence is defined. In addition, the 
              socioeconomic condition of a residential area makes a difference. For instance, greater 
              increments of value are seen for tree planting and landscape improvements in lower-quality 
              neighborhoods.10,11  
              Tree Retention in Development 
               Many communities have codes or ordinances that regulate tree preservation on residential 
              development sites. Site developers may argue that tree protection costs are prohibitive. 
              Understanding potential market values in different forest conditions is an important step in 
              understanding the economics of forest protection.12 Market price studies of treed versus 
              untreed lots show this range:  
              TABLE: Price Increase Condition 18% building lots with substantial mature tree cover13
 22% tree-covered undeveloped acreage14
 19-35% lots bordering suburban wooded preserves15
 37% open land that is two-thirds wooded16
 
 Generally, trees and forest cover in development growth areas add value to parcels. One 
              study found that development costs were 5.5 percent greater for lots where trees were 
              conserved.17 Given increased lot and home valuations, builders have reported that they were 
              able to recover the extra costs of preserving trees in a higher sales price for a house and that 
              homes on wooded lots sell sooner than homes on unwooded lots.18Parks and Open Space More than 30 studies have shown that people are willing to pay more for a property located 
              close to an urban open space than for a house that does not offer this amenity, a finding 
              known as the “proximate principle.”19 The studies include parks and open spaces usually 
              containing trees and forests.  
              TABLE:Price Increase Condition 10% inner-city home located within 1/4 mile of a park20
 10% house two to three blocks from a heavily used, active
 recreation park21
 17% home near cleaned-up vacant lot22
 20% home adjacent to or fronting a passive park area23
 32% residential development adjacent to greenbelts24
 With few exceptions,25, 26 studies find that homes adjacent to naturalistic parks and open 
              spaces are typically valued at about 8 to 20 percent more than comparable properties.27 
              Values show a linear decline with distance from the edge of an open space, with a positive 
              price effect declining to near zero at about a half mile away.28, 29, 30 Other factors include 
              usage rate (more park users = lower values), user activity (athletic fields and games = lower 
              value up to 500 feet away), and care and upkeep (lower maintenance = lower values). For 
              instance, the values of properties close to heavily used or unkept parks are typically less than 
              similar properties farther away.  
              View of Forests Another method of valuing forests has been to analyze improvements in visual quality 
              provided by trees or forest cover. Forest proximity may indicate recreational value, while tree 
              cover on a residential lot can incorporate benefits such as noise reduction and energy use. 
              Views are largely about aesthetic qualities and have been studied to a limited degree. TABLE: Price Increase Condition
 4.9% multifamily unit with view of forested open space31
 8% house with a park view32
 
 Retail and Commercial Most hedonic valuation studies have focused on residential properties. Yet tree planting 
              programs are often an important part of revitalization efforts in retail and commercial 
              districts. A few studies (using hedonic and other valuation techniques) hint at potential 
              returns from tree investment on nonresidential sites.  
              TABLE: Price Increase Condition 7% rental rates for commercial offices having quality landscape33
 9-12% reported increase in consumer spending in forested business
 districts34
 23% homes within 1/4 mile of “excellent” commercial corridor35
 
 Variability and Limitations  
              Decades of research findings indicate that property values are consistently higher with the 
              presence of trees, particularly in residential settings. There are a few studies that show 
              modest or no results, but even fewer show any negative price effect for city trees. In studies 
              where distance effects can be measured, properties closest to naturalistic parks and 
              greenspace have greatest value.  
              Despite these general patterns, there is great variability in hedonic analysis valuations. Why 
              would that be? First, the statistical models may omit house or property characteristics that 
              can bias estimates of amenity value. Such omissions may be due to inadequate research 
              design, or the data for a key characteristic simply may not be available at a reasonable effort. 
              From a statistical standpoint it is assumed that there is an additive influence of city trees on 
              property prices. Yet a causal relationship is rarely so simple, and all possible environmental 
              inputs are difficult to capture, nor are they independent of each other.  
              These difficulties raise more philosophical questions. Is it really possible to calculate a price 
              that communicates all the services and benefits that trees provide? There are some very 
              practical limitations of hedonic analysis.  
              Trees and forests provide diverse environmental services such as air and water quality 
              improvements, flood control, and wildlife habitat. Such benefits extend beyond the 
              boundaries of a single parcel or may be invisible to buyers and so may not be adequately 
              captured in hedonic analysis. Urban forest analysis tools (such as STRATUM, UFORE, and 
              cityGreen) address the economics of distributed services, and some include hedonic analysis 
              as one input in a broader economic model. Yet local decision makers may not understand the 
              nuances of resource economics and may assume that property values represent the sole 
              economic contribution of trees. The true and full value of city trees and forests will usually 
              be greater than the value estimated by hedonic analysis alone.  
              Finally, in communicating about trees in terms of price, there is the risk of reducing the 
              meaning of trees to purely economic terms. Hedonic calculations may be an awkward and 
              incomplete way to describe the range of values that people place on having quality trees and 
              forests in their communities.36 For most people, there are matters of meaning and principle 
              that are beyond economic calculations of nature.37 Keen observers of nature have noted the 
              beauty and restorative qualities of trees for centuries. Recent studies of the human 
              dimensions of urban forests are just starting to reveal the breadth and depth of benefits from 
              the human experience of nature. Talking about trees in terms of a narrow estimation of value 
              may limit public debate about the importance of trees in communities.  
              Hedonic pricing and other nonmarket valuations are important contributions to local decision 
              making. Yet those who use and report such studies must understand that the valuation 
              process is fraught with uncertainty and assumptions. The point of using any valuation 
              analysis is not so much to think exclusively in money or market terms but to frame choices and make clear the trade-offs between alternative outcomes.38 How do the 
              costs and benefits of investments in natural capital compare to investments in other urban 
              services such as law enforcement or education? Is the trade-off worthwhile? These are the 
              types of questions for which even preliminary valuation can provide useful information. 
              Quantifying the value that society assigns to trees and greenspaces, hedonic analysis can 
              inform public discussions about urban forest investment and stewardship.  
              References 
              1 
              Boyd, J.W. 2006. The Nonmarket Benefits of Nature: What Should be Counted in Green 
              GDP? Resources for the Future, Discussion Paper No. 06-24. Washington DC: 
              Resources for the Future. 2
 Boyer, T., and S. Polasky. 2004. Valuing Urban Wetlands: A Review of Non-Market 
              Valuation Studies. Wetlands 24, 4: 744–755.
 3
 Samuelson, P.A. 1954. The Pure Theory of Public Expenditure. Review of Economics and 
              Statistics 36, 4: 387-389.
 4
 de Groot, R.S., M.A. Wilson, and R.M.J. Boumans. 2002. A Typology For the 
              Classification, Description and Valuation of Ecosystem Functions, Goods and 
              Services. Ecological Economics 41: 393–408
 5
 Crompton, J.L. 2001. The Impact of Parks on Property Values: A Review of the Empirical 
              Evidence. Journal of Leisure Research 33, 1: 1-31.
 6
 Dombrow, J., M. Rodriguez, and C.F. Sirmans.  2000. The Market Value of Mature Trees in 
              Single-Family Housing Markets. Appraisal Journal 68, 1: 39-43.
 7
 Anderson, L.M., and H.K. Cordell. 1988. Influence of Trees on Residential Property Values. 
              Landscape and Urban Planning 15: 153-164.
 8
 Morales, D.J., B.N. Boyce, and R.J. Favretti. 1976. The Contribution of Trees to Residential 
              Property Value: Manchester, Connecticut. Valuation 23, 2: 26-43.
 9
 Theriault, M., Y. Kestens, and F. Des Rosiers. 2002. The Impact of Mature Trees on House 
              Values and on Residential Location Choices in Quebec City. In Rizzoli, A.E. and 
              Jakeman, A.J. (eds.), Integrated Assessment and Decision Support, Proceedings of the 
              First Biennial Meeting of the International Environmental Modeling and Software 
              Society, Volume 2: 478-483.
 10
 Morales, D.J., B.N. Boyce, and R.J. Favretti. 1976. The Contribution of Trees to 
              Residential Property Value: Manchester, Connecticut. Valuation 23, 2: 26-43.
 11
 Wachter, S.M., and K.C. Gillen. 2006. Public Investment Strategies: How They Matter for 
              Neighborhoods in Philadelphia, Working Paper. The Wharton School, University of 
              Pennsylvania.
 12
 Nelson, N., J. Dorfman, and L. Fowler. 2002. The Potential For Community Forests to Be 
              Self-Financing: An Hedonic Analysis of The Enhancement Value of Georgia’s Trees. 
              University of Georgia: Department of Agricultural and Applied Economics.
              Wolf, City Trees and Property Values Arborist News, August 2007
 7
 13
 Morales, D.J., F.R. Micha, and R.L. Weber. 1983. Two Methods of Valuating Trees on 
              Residential Sites. Journal of Arboriculture 9: 21-24.
 14
 Payne, B.R., and S. Strom. 1975. The Contribution of Trees to the Appraised Value of 
              Unimproved Residential Land. Valuation 22, 2: 36-45.
 15
 Thorsnes, P. 2002. The Value of a Suburban Forest Preserve: Estimates from Sales of 
              Vacant Residential Building Lots. Land Economics 78, 3: 426-441.
 16
 Payne, B.R. 1973. The Twenty-Nine Tree Home Improvement Plan. Natural History 82, 9: 
              74-75.
 17
 Hardie, I., and C. Nickerson. 2004. The Effect of a Forest Conservation Regulation on the 
              Value of Subdivisions in Maryland. WP 03-01 (Revised). Department of Agricultural 
              and Resource Economics, University of Maryland, College Park.
 18
 Seila, A.F., and L.M. Anderson. 1982. Estimating Costs of Tree Preservation on Residential 
              Lots. Journal of Arboriculture 8: 182-185.
 19
 Crompton, J.L. 2001. The Impact of Parks on Property Values: A Review of the Empirical 
              Evidence. Journal of Leisure Research 33, 1: 1-31.
 20
 Wachter, S.M., and K.C. Gillen. 2006. Public Investment Strategies: How They Matter for 
              Neighborhoods in Philadelphia, Working Paper. The Wharton School, University of 
              Pennsylvania.
 21
 Crompton, J.L. 2001. The Impact of Parks on Property Values: A Review of the Empirical 
              Evidence. Journal of Leisure Research 33, 1: 1-31. 
              22 
              Wachter, S.M., and K.C. Gillen. 2006. Public Investment Strategies: How They Matter for 
              Neighborhoods in Philadelphia, Working Paper. The Wharton School, University of 
              Pennsylvania.
 23
 Crompton, J.L. 2001. The Impact of Parks on Property Values: A Review of the Empirical 
              Evidence. Journal of Leisure Research 33, 1: 1-31.
 24
 Correll, M.R., J.H. Lillydahl, and L.D. Singell. 1978. The Effect of Greenbelts on 
              Residential Property Values: Some Findings on the Political Economy of Open 
              Space. Land Economics 54, 2: 207-217.
 25
 Luttik, J. 2000. The Value of Trees, Water and Open Space as Reflected by House Prices in 
              the Netherlands. Landscape and Urban Planning 48: 161-167.
 26
 Schroeder, T.D. 1982. The Relationship of Local Park and Recreation Services to 
              Residential Property Values. Journal of Leisure Research 14, 3: 223-234.
 27
 Crompton, J.L. 2001. Parks and Economic Development. Washington D. C.: American 
              Planning Association.
 28
 Hammer, T.R., R.E. Coughlin, and E.T. Horn. 1974. Research Report: The Effect of a 
              Large Park on Real Estate Value. Journal of the American Institute of Planners 40: 
              274-277.
 29
 Tyrväinen, L., and A. Miettinen. 2000. Property Prices and Urban Forest Amenities. 
              Journal of Environmental Economics and Management 39: 205-223.
 30
 More, T.A., T.H. Stevens, and P.G. Allen. 1988. Valuation of Urban Parks. Landscape and 
              Urban Planning, 15: 139-152
 31
 Tyrväinen, L., and A. Miettinen. 2000. Property Prices and Urban Forest Amenities. 
              Journal of Economics and Environmental Management 39: 205-223.
 32
 Luttik, J. 2000. The Value of Trees, Water and Open Space as Reflected by House Prices in 
              the Netherlands. Landscape and Urban Planning 48: 161-167.
 33
 Laverne, R.J., and K. Winson-Geideman. 2003. The Influence of Trees and Landscaping on 
              Rental Rates at Office Buildings. Journal of Arboriculture 29, 5: 281-290.
 34
 Wolf, K.L. 2005. Business District Streetscapes, Trees and Consumer Response. Journal of 
              Forestry 103, 8: 396-400.
 35
 Wachter, S.M., and K.C. Gillen. 2006. Public Investment Strategies: How They Matter for 
              Neighborhoods in Philadelphia, Working Paper. The Wharton School, University of 
              Pennsylvania.
 36
 Price, C. 2003. Quantifying the Aesthetic Benefits of Urban Forestry. Urban Forestry and 
              Urban Greening, 1: 123-133.
 37
 Ackerman, F., and L. Heinzerling. 2004. Assessing Natural Resources: Price vs. Value. 
              Renewable Resources Journal 22, 3: 16-21.
 38
 Boyer, T., and S. Polasky. 2004. Valuing Urban Wetlands: A Review of Non-Market 
              Valuation Studies. Wetlands 24, 4: 744–755.
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