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 ...
construction. 77 All study area, spatial adjustment, and home and site characteristics are significant at or above the one percent level and are similar in sign and magnitude to the estimates derived from the post-construction Base Model.
explanation is that the additional homes that are included in this model, specifically those homes that sold post-announcement but pre-construction, are driving the results. A thorough investigation
- Page 7 and 8: List of Tables Tab
- Page 9 and 10: Acknowledgements The</stron
- Page 11 and 12: This report builds on the previous
- Page 13 and 14: Table ES-2: Impact
- Page 15 and 16: Figure ES-3: Base Model Results: Sc
- Page 17 and 18: In the Distance Stability Model, fo
- 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: the distance from them might not oc
- 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 and 70: 5.6.1. Dataset and Model Form Data
- Page 71 and 72: with the scenic vista. In other wor
- 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
c<strong>on</strong>structi<strong>on</strong>. 77 All study area, spatial adjustment, and home and site characteristics are<br />
significant at or above the <strong>on</strong>e percent level and are similar in sign and magnitude to the<br />
estimates derived from the post-c<strong>on</strong>structi<strong>on</strong> Base Model.<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> VIEW coefficients ( 4 ) are clearly affected by the change in reference category. All <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />
VIEW parameter estimates are higher than the Base Model estimates for the same categories. Of<br />
particular interest is the NO VIEW coefficient, which represents the values <str<strong>on</strong>g>of</str<strong>on</strong>g> homes without a<br />
view <str<strong>on</strong>g>of</str<strong>on</strong>g> the turbines and that sold in the post-c<strong>on</strong>structi<strong>on</strong> period, as compared to the mean value<br />
<str<strong>on</strong>g>of</str<strong>on</strong>g> homes that sold in the pre-c<strong>on</strong>structi<strong>on</strong> period, all else being equal. <str<strong>on</strong>g>The</str<strong>on</strong>g>se homes, <strong>on</strong> average,<br />
are estimated to sell for 2% (p value 0.08) more than similar pre-c<strong>on</strong>structi<strong>on</strong> homes. If an Area<br />
Stigma existed, a negative coefficient for these NO VIEW homes would be expected. Instead, a<br />
positive and statistically significant coefficient is found. 78 It is outside the ability <str<strong>on</strong>g>of</str<strong>on</strong>g> this study to<br />
determine whether the increase is directly related to the wind turbines, or whether some other<br />
factor is impacting these results, but in either instance, no evidence <str<strong>on</strong>g>of</str<strong>on</strong>g> a pervasive Area Stigma<br />
associated with the presence <str<strong>on</strong>g>of</str<strong>on</strong>g> the wind facilities is found.<br />
To test for the possibility <str<strong>on</strong>g>of</str<strong>on</strong>g> Scenic Vista Stigma, the coefficients for MINOR, MODERATE,<br />
SUBSTANTIAL, and EXTREME views can be compared to the NO VIEW coefficient using a<br />
simple t-Test. Table 16 presents these results. As shown, no significant difference is found for<br />
any <str<strong>on</strong>g>of</str<strong>on</strong>g> the VIEW coefficients when compared to NO VIEW transacti<strong>on</strong>s. This reinforces the<br />
findings earlier that, within the sample at least, there is no evidence <str<strong>on</strong>g>of</str<strong>on</strong>g> a Scenic Vista Stigma.<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> DISTANCE parameter estimates ( 5 ) are also found to be affected by the change in<br />
reference category, and all are lower than the Base Model estimates for the same categories.<br />
This result likely indicates that the inflati<strong>on</strong>-adjusted mean value <str<strong>on</strong>g>of</str<strong>on</strong>g> homes in the preannouncement<br />
period is slightly higher, <strong>on</strong> average, than for those homes sold outside <str<strong>on</strong>g>of</str<strong>on</strong>g> five<br />
miles in the post-c<strong>on</strong>structi<strong>on</strong> period. This difference could be attributed to the inaccuracy <str<strong>on</strong>g>of</str<strong>on</strong>g> the<br />
inflati<strong>on</strong> index, a pervasive effect from the wind turbines, or to some other cause. Because the<br />
coefficients are not systematically statistically significant, however, this result is not pursued<br />
further. What is <str<strong>on</strong>g>of</str<strong>on</strong>g> interest, however, is the negative 8% estimate for homes located between<br />
3000 feet and <strong>on</strong>e mile <str<strong>on</strong>g>of</str<strong>on</strong>g> the nearest wind turbine (p value 0.03). To correctly interpret this<br />
result, and to compare it to the Base Model, <strong>on</strong>e needs to discern if this coefficient is<br />
significantly different from the estimate for homes located outside <str<strong>on</strong>g>of</str<strong>on</strong>g> five miles, using a t-Test.<br />
<str<strong>on</strong>g>The</str<strong>on</strong>g> results <str<strong>on</strong>g>of</str<strong>on</strong>g> this t-Test are shown in Table 17. <str<strong>on</strong>g>The</str<strong>on</strong>g> coefficient differences are found to be<br />
somewhat m<strong>on</strong>ot<strong>on</strong>ically ordered. Moving from homes within 3000 feet (-0.06, p value 0.22),<br />
and between 3000 feet and <strong>on</strong>e mile (-0.08, p value 0.04), to between <strong>on</strong>e and three miles (0.00,<br />
p value 0.93) and between three and five miles (0.01, p value 0.32) the DISTANCE coefficients<br />
are found to generally increase. N<strong>on</strong>etheless, n<strong>on</strong>e <str<strong>on</strong>g>of</str<strong>on</strong>g> these coefficients are statistically<br />
significant except <strong>on</strong>e, homes that sold between 3000 feet and <strong>on</strong>e mile. <str<strong>on</strong>g>The</str<strong>on</strong>g> latter finding<br />
suggests the possibility <str<strong>on</strong>g>of</str<strong>on</strong>g> Nuisance Stigma. It is somewhat unclear why an effect would be<br />
found in this model, however, when <strong>on</strong>e was not evident in the Base Model. <str<strong>on</strong>g>The</str<strong>on</strong>g> most likely<br />
77 This slight change in performance is likely due to the inaccuracies <str<strong>on</strong>g>of</str<strong>on</strong>g> home and site characteristics and the<br />
inflati<strong>on</strong> adjustment for homes that sold in the early part <str<strong>on</strong>g>of</str<strong>on</strong>g> the study period. This is discussed in more detail in<br />
footnote 50 <strong>on</strong> page 23.<br />
78 For more <strong>on</strong> the significance level used for this report, see footnote 68 <strong>on</strong> page 30.<br />
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