More Resources

The trade-off between private lots and public open space in subdivisions at the urban-rural fringe.


by Kopits, Elizabeth^McConnell, Virginia^Walls, Margaret

Lacy, J. 1990. "An Examination of Market Appreciation for Clustered Housing with Permanent Open Space," University of Massachusetts Center for Rural Massachusetts report, Amherst, MA.

McConnell, V., and M. Walls. 2005. The Value of Open Space: Evidence from Studies of NonMarket Benefits. Washington DC: Resources for the Future, January.

Mohamed, R. 2006. "The Economics of Conservation Subdivisions: Price Premiums, Improvement Costs, and Absorption Rates." Urban Affairs Review 4:376-99.

Patterson, R., and K. Boyle. 2002. "Out of Sight, Out of Mind: Using GIS to Incorporate Visibility in Hedonic Property Value Models." Land Economics 78:417-25.

Peiser, R.B., and G.M. Schwann. 1993. "The Private Value of Public Open Space within Subdivisions." Journal of Architectural and Planning Research 10:91-104.

Rosen, S. 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition." Journal of Political Economy 82:34-55.

Thorsnes, R 2002. "The Value of a Suburban Forest Preserve: Estimates from Sales of Vacant Residential Building Lots." Land Economics 78:426-41.

(1) Daniels (1997) takes a critical view of the use of clustering for preserving farmland on the urban fringe, arguing that it may be incompatible with an agricultural economy.

(2) The term "conservation" subdivision usually implies something broader than clustering. See Mohammed (2006) for a description of a conservation subdivision.

(3) The time periods are chosen to reflect zoning and other changes in the county.

(4) We tested a number of different specifications, including a subdivision fixed effects model. While that specification has the advantage of controlling for all unobserved subdivision characteristics, it prevents us from estimating effects of specific subdivision level variables, including the total amount of subdivision open space. Coefficients on house-specific variables are very similar to the results with block group fixed effects.

(5) The Moran I statistic is found to be 11.570.

(6) Letting u denote the vector of error terms, [u.sub.i], i = 1 to N, in our model, we assume [u.sub.i] = [rho][W.sub.i]u + [[epsilon].sub.i], where [rho] is the spatial autocorrelation parameter to be estimated, [W.sub.i] is the ith row of the weighting matrix, W, and [[epsilon].sub.i] is the component of the error term made up of independently and identically distributed (iid) random variables. The weighting matrix, W, selects the "neighbors" so that W = {[w.sub.ij]}, where [w.sub.ij] = 1/[n.sub.i] (where [n.sub.i] = number of "neighbors" of house i) if i and j are within the same or adjacent subdivisions; because a subdivision is not viewed as its own neighbor, [w.sub.ii] = 0 for all i.

(7) With the one mile weighting scheme, the Moran I test statistic is 12.895.

(8) Our steepness variable cannot measure the slope of the open space adjacent to particular houses, but the more open space in the subdivision in steep slopes, the higher the probability that any house adjacent to open space will be adjacent to steep open space.

(9) Adjacency to another subdivision's open space becomes significant at the 10% level if subdivision fixed effects are included in the model.

Elizabeth Kopits is Economist at the U.S. EPA National Center for Environmental Economics. Virginia McConnell is Professor of Economics at University of Maryland and Senior Fellow at Resources for the Future (RFF). Margaret Walls is Senior Fellow at RFF.

The views expressed in this article are those of the authors and do not necessarily represent those of the U.S. EPA. No official Agency endorsement should be inferred. The helpful comments of Soren Anderson are greatly appreciated.

This article was presented in a principal paper session at the AAEA annual meeting (Portland, OR, July 2007). The articles in these sessions are not subjected to the journal's standard refereeing process. Table 1. Summary Statistics for House and Subdivision Data, Calvert County, MD Variable Mean SD House variables (3,386 house sales)

House sale price (a) 221,749.30 74,000.48

Lot size (acres) 1.511 1.586

Sale year 1,994.422 5.087 Structural characteristics:

House size (square feet) 2,075.047 801.959

House age (years) 5.821 10.026

Dwelling grade (dummy) (b) 0.177 0.382

Number of full bathrooms 1.999 0.512

Number of half bathrooms 0.583 0.498

Fireplace (dummy) 0.618 0.486

Townhouse 0.008 0.091 Open space and surrounding land uses (dummy variables):

Adjacent to subdivision

open space area 0.249 0.433

Adjacent to another

subdivision open space 0.024 0.153

Adjacent to preserved

farmland, parkland 0.014 0.118

Adjacent to undeveloped,

unpreserved land 0.142 0.351

Adjacent to water 0.016 0.126 Subdivision variables (89 subdivisions)

Size of subdivision (acres) 133.615 104.853

Size of subdivision open

space area (acres) 28.951 46.316

Pct.open space in steep

slopes (>15% slope) 0.373 0.347

Subdivision recording year 1,983.675 10.218 Accessibility/location:

Distance to the Northern

border (meters) 18,965.17 13,351.70

Access to Town Center

(gravity index) 10.732 83.375

Distance to Route 2/4

(meters) 2,419.191 1,799.510

RCD Rural zoning district

(dummy) 0.685 0.467

FCD Rural zoning district

(dummy) 0.079 0.271

Residential zoning district

(dummy) 0.213 0.412

Town Center (dummy) 0.022 0.149 Variable Range House variables (3,386 house sales)

House sale price (a) 12,642-939,180

Lot size (acres) 0.034-30.41

Sale year 1,981-2,001 Structural characteristics:

House size (square feet) 576-6,575

House age (years) 0-186

Dwelling grade (dummy) (b) 0-1

Number of full bathrooms 1-5

Number of half bathrooms 0-2

Fireplace (dummy) 0-1

Townhouse 0-1 Open space and surrounding land uses (dummy variables):

Adjacent to subdivision

open space area 0-1

Adjacent to another

subdivision open space 0-1

Adjacent to preserved

farmland, parkland 0-1

Adjacent to undeveloped,

unpreserved land 0-2

Adjacent to water 0-1 Subdivision variables (89 subdivisions)

Size of subdivision (acres) 16.61-589.59

Size of subdivision open

space area (acres) 0.250-295.130

Pct.open space in steep

slopes (>15% slope) 0-1

Subdivision recording year 1,928-1,999 Accessibility/location:

Distance to the Northern

border (meters) 955.72-49,912.3

Access to Town Center

(gravity index) 0-768.431

Distance to Route 2/4

(meters) 167.87-7,633.7

RCD Rural zoning district

(dummy) 0-1

FCD Rural zoning district

(dummy) 0-1

Residential zoning district

(dummy) 0-1

Town Center (dummy) 0-1 (a) Year 2000 dollars. (b) Dwelling grade equals 1 if house is categorized as low to fair quality, 0 otherwise. Table 2. Results of the Spatial Error Model, with Block Group Fixed Effects (Dependent Variable is the natural log of house sale price) Variable Description Coefficient (t-Stat) 1 Own lot size (acres, logged) 0.078 *** (10.423)

Variables related to subdivision

open space 2 Subdivision open space

(acres, logged) 0.010 ** (2.279) 3 Percent of open space acres

in steep slopes -0.024 (-1.140) 4 Subdivision open space (var 2)

* pct steep (var 3) -0.003 (-0.410) 5 Subdivision open space (var 2)

* own lot size (var 1) -0.007 *** (-2.715) 6 Adjacent to own subdivision

open space (dummy) 0.029 ** (2.181) 7 Adjacent to own open space

(var 6) * pct steep (var 3) -0.059 ** (-2.327) 8 Adjacent to own open space

(var 6) * lot size (var 1) 0.016 (1.512)

Other adjacency variables 9 Adjacent to another subdivision's

open space area 0.010 (0.582) 10 Adjacent to water 0.300 *** (12.805) 11 Adjacent to undeveloped,

unpreserved land -0.006 (0.741) 12 Adjacent to preserved farmland


1  2  3  4  
COPYRIGHT 2007 American Agricultural Economics Association Reproduced with permission of the copyright holder. Further reproduction or distribution is prohibited without permission.
Copyright 2007, Gale Group. All rights reserved. Gale Group is a Thomson Corporation Company.
NOTE: All illustrations and photos have been removed from this article.


Browse by Journal Name:
Today on Entrepreneur
Related Video

e-Business & Technology
Franchise News
Business Book Sampler
Starting a Business
Sales & Marketing
Growing a Business
E-mail*:
Zip Code*: