Declining Marginal Value of Coastal Proximity

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Declining Marginal Value of Coastal Proximity

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How much extra would you pay for a house on the beach? How much less for a house that was on the second row of houses? Third?.... MAP of Beach ... – PowerPoint PPT presentation

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Title: Declining Marginal Value of Coastal Proximity


1
Declining Marginal Value of Coastal Proximity
  • Kenneth Wehrmann

2
How is Coastal Property Valued?
  • How much extra would you pay for a house on the
    beach?
  • How much less for a house that was on the second
    row of houses?
  • Third?....

MAP of Beach
3
Research
  • Previous Hedonic Studies
  • Rosen
  • Beginning of Hedonic Method
  • Islands
  • Power Plants, Toxic Sites, Pollution
  • Negative externalities affecting nearby
    properties
  • Flood Risk
  • How consumers discount property due to risk
  • View
  • Do consumers consider view when making purchasing
    decisions? (Coastal)

4
Theory
  • Coastal homes are highly valued for their close
    proximity to a scarce resource, our beautiful
    North Carolina shores. Coastal proximity
    provides utility to consumers and will therefore
    demand a premium. This premium will decline as
    distance to the shore increases and should show
    signs of diminishing returns.

5
Theory Graphs
PD
P
Price Differential
? Distance to Shore
Q
Distance to Shore
6
Data Source
  • Bin, Okmyung., Tom Crawford, Jamie Kruse, and
    Craig E. Landry. "Flood Prone with a View
    Coastal Housing Market Response to Risk and
    Aminity." Working Paper. East Carolina
    University. 2006
  • New Hanover County, NC
  • 1075 Property Sales from 1995 to 2002
  • 30,000 to 3,500,000 sales price
  • 12 were new homes

Map of Beaches
7
Hedonic Model
  • Goods are broken down into their constituent
    attributes. These attributes create utility for
    consumers and therefore hold value. This value
    can be estimated by quantifying these constituent
    parts and analyzing their relationships. For the
    housing industry characteristics are
    traditionally broken down into three groups
    structural, neighborhood, and environmental
    attributes.

8
VariablesStructural
  • Age
  • 0 81 22.06
  • New Home (D)
  • 12
  • Square Footage
  • 392 8354 1784.08
  • Lot Size
  • of Bedrooms
  • 1 8 3.15
  • of Bathrooms
  • 1 7.5 2.491
  • Air Conditioning (D)
  • 90
  • View (Sum of Degrees of View)
  • 0 178.18 18.36

9
VariablesNeighborhood
  • Neighborhood (D)
  • Figure 8 Island 10
  • Kure Beach 34
  • Wrightsville Beach 17
  • Carolina Beach 40
  • Distance to Nearest Highway
  • Distance to Central Business District

10
VariablesEnviormental
Distance to Nearest Shore Range 73 Ft to 1
mile Average 1743 ft or 3/10ths of a
mile Distance to Neatest Shore Squared
(Diminishing Returns)
11
Results
  • Model 1
  • T-stat -4.4
  • Consumers do pay a premium for properties with
    close proximity to the shore
  • Model 2
  • Dist -13.69
  • Dist Sq 12.83
  • These premiums show evidence of diminishing
    returns as each foot of distance away from the
    shore supplies marginally less utility to
    consumers

12
Model 3
13
Future Research
  • Mountains
  • View Variable
  • Distance to CBD (Boone)
  • Value of being in a gated community

14
Questions?
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