The Impact of Wind Power Projects on Residential Property Values ...
The Impact of Wind Power Projects on Residential Property Values ... The Impact of Wind Power Projects on Residential Property Values ...
4 is a vector
with the scenic vista. In other words, the sales price increases when views
- Page 19 and 20: 1. Introduction Wind</stron
- Page 21 and 22: model 7 and uses various forms <str
- Page 23 and 24: A particularly useful application <
- Page 25 and 26: Using different statistical methods
- Page 27 and 28: Table 1: Summary of</strong
- Page 29 and 30: By using a variety of</stro
- Page 31 and 32: minimum of 164 fee
- Page 33 and 34: 3.2.2. GIS Data GIS data on parcel
- Page 35 and 36: In addition to the qualitative VIEW
- Page 37 and 38: with the rest of t
- Page 39 and 40: Figure 4: Frequency of</str
- Page 41 and 42: 4. Base Hedonic Model This section
- Page 43 and 44: impose the least structure on the u
- Page 45 and 46: of the home, home
- Page 47 and 48: etween the reference study area (WA
- Page 49 and 50: Figure 7: Results from the Base Mod
- Page 51 and 52: 5. Alternative Hedonic Models <stro
- Page 53 and 54: concentrated inside of</str
- Page 55 and 56: all other components are as defined
- Page 57 and 58: the distance from them might not oc
- Page 59 and 60: explanation is that the additional
- Page 61 and 62: 6) More than four years after const
- Page 63 and 64: Table 19: Results from Temporal Asp
- Page 65 and 66: Turning to the coefficient differen
- Page 67 and 68: Table 21: Frequency Crosstab <stron
- Page 69: 5.6.1. Dataset and Model Form Data
- Page 73 and 74: 6. Repeat Sales Analysis In general
- Page 75 and 76: Table 27: List of
- Page 77 and 78: adjustment, and represent another t
- Page 79 and 80: that are located within one mile <s
- Page 81 and 82: 7. Sales Volume Analysis Th
- Page 83 and 84: Figure 11: Sales Volumes by PERIOD
- Page 85 and 86: three years before announcement), a
- Page 87 and 88: 8. Wind Pr
- Page 89 and 90: Drawing from the previous literatur
- Page 91 and 92: Taken together, the results from al
- Page 93 and 94: 9. Conclusions Though surveys gener
- Page 95 and 96: Davis, L. W. (2008) The</st
- Page 97 and 98: LeSage, J. P. (1999) The</s
- Page 99 and 100: Watson, M. (2005) Estimation <stron
- Page 101 and 102: Figure A - 1: Map of</stron
- Page 103 and 104: all very small communities with lit
- Page 105 and 106: A.2 TXHC Study Area: Howard County
- Page 107 and 108: Census Statistics Name Type 2007 Po
- Page 109 and 110: Data Collection and Summary County
- Page 111 and 112: A.4 IABV Study Area: Buena Vista Co
- Page 113 and 114: Variables of Inter
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- Page 117 and 118: A.6 WIKCDC Study Area: Kewaunee and
- Page 119 and 120: Variables of Inter
4 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> v parameter estimates for VIEW fixed effects variables as compared to<br />
transacti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> homes without a view <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines,<br />
6 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> t parameter estimates for VISTA fixed effect variables as compared to<br />
transacti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> homes with an AVERAGE scenic vista,<br />
7 is a vector <str<strong>on</strong>g>of</str<strong>on</strong>g> o parameter estimates for OVERLAP fixed effect variables as compared to<br />
transacti<strong>on</strong>s <str<strong>on</strong>g>of</str<strong>on</strong>g> homes where the view <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines had no overlap with the scenic vista, and<br />
all other comp<strong>on</strong>ents are as defined in equati<strong>on</strong> (1).<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest in this model are VIEW, VISTA and OVERLAP, and the coefficients 4,<br />
6, and 7 are therefore the primary focus. <str<strong>on</strong>g>The</str<strong>on</strong>g>ory would predict that the VISTA coefficients in<br />
this model would be roughly similar to those derived in the Base Model, but that the VIEW<br />
coefficients may be somewhat more positive as the OVERLAP variables explain a porti<strong>on</strong> <str<strong>on</strong>g>of</str<strong>on</strong>g> any<br />
negative impact that wind projects have <strong>on</strong> residential sales prices. In that instance, the<br />
OVERLAP coefficients would be negative, indicating a decrease in sales price when compared<br />
to those homes that experience no overlap between the view <str<strong>on</strong>g>of</str<strong>on</strong>g> wind turbines and the primary<br />
scenic vista.<br />
Table 25: Frequency Crosstab <str<strong>on</strong>g>of</str<strong>on</strong>g> OVERLAP and VIEW<br />
OVERLAP<br />
VIEW<br />
N<strong>on</strong>e Minor Moderate Substantial Extreme Total<br />
N<strong>on</strong>e 4,207 317 3 0 0 4,527<br />
Barely 0 139 10 1 0 150<br />
Somewhat 0 81 42 7 2 132<br />
Str<strong>on</strong>gly 0 24 51 27 26 128<br />
Total 4,207 561 106 35 28 4,937<br />
5.6.2. Analysis <str<strong>on</strong>g>of</str<strong>on</strong>g> Results<br />
Results for the variables <str<strong>on</strong>g>of</str<strong>on</strong>g> interest for this hed<strong>on</strong>ic model are shown in Table 26; as with<br />
previous models, the full set <str<strong>on</strong>g>of</str<strong>on</strong>g> results is c<strong>on</strong>tained in Appendix H. <str<strong>on</strong>g>The</str<strong>on</strong>g> model performs well<br />
with an adjusted R 2 <str<strong>on</strong>g>of</str<strong>on</strong>g> 0.77. All study area, spatial adjustment, and home and site characteristics<br />
are significant at or above the <strong>on</strong>e percent level, are <str<strong>on</strong>g>of</str<strong>on</strong>g> the appropriate sign, and are similar in<br />
magnitude to the estimates derived from the post-c<strong>on</strong>structi<strong>on</strong> Base Model.<br />
As expected from theory, the VISTA parameters are stable across models with no change in<br />
coefficient sign, magnitude, or significance. Counter to expectati<strong>on</strong>s, however, the VIEW<br />
coefficients, <strong>on</strong> average, decrease in value. MINOR VIEW is now estimated to adversely affect<br />
a home’s sale price by 3% (p value 0.10) and is weakly significant, but n<strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> the other VIEW<br />
categories are found to be statistically significant. Oddly, the OVERLAP rating <str<strong>on</strong>g>of</str<strong>on</strong>g> BARELY is<br />
found to significantly increase home values by 5% (p value 0.08), while n<strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> the other<br />
OVERLAP ratings are found to have a statistically significant impact.<br />
Taken at face value, these results are counterintuitive. For instance, absent any overlap <str<strong>on</strong>g>of</str<strong>on</strong>g> view<br />
with the scenic vista (NONE), a home with a MINOR view sells for 3% less than a home with no<br />
view <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines. If, alternatively, a home with a MINOR view BARELY overlaps the<br />
prominent scenic vista, it not <strong>on</strong>ly enjoys a 2% increase in value over a home with NO VIEW <str<strong>on</strong>g>of</str<strong>on</strong>g><br />
the turbines but a 5% increase in value over homes with views <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines that do not overlap<br />
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