The Impact of Wind Power Projects on Residential Property Values ...

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Variables <strong>of</strong> Interest Statistics Development Period Pre Announcement Post Announcement Pre Construction 1st Year After Construction 2nd Year After Construction 2+ Years After Construction Total Lee, IL (ILLC) 115 84 62 71 80 412 View <strong>of</strong> Turbines Pre Construction None Minor Moderate Substantial Extreme Total Lee, IL (ILLC) 199 177 27 7 1 1 412 Distance to Nearest Turbine Pre Construction < 0.57 Miles 0.57 - 1 Miles 1 - 3 Miles 3 - 5 Miles > 5 Miles Total Lee, IL (ILLC) 199 1 1 85 69 57 412 Census Statistics Name Type 2007 Population % Change Since 2000 Population Per Mile^2 Median Age Median Income Median House 2007 % Change Since 2000 Paw Paw Town 884 2.6% 1,563 38.0 $ 48,399 $ 151,954 n/a Compton Town 337 -2.9% 2,032 32.8 $ 44,023 $ 114,374 n/a Steward Town 263 -3.0% 2,116 35.2 $ 59,361 $ 151,791 n/a Sublette Town 445 -2.4% 1,272 37.7 $ 55,910 $ 133,328 n/a Lee County 35,450 -1.7% 49 37.9 $ 47,591 $ 136,778 64% Illinois State 12,852,548 3.5% 223 34.7 $ 54,124 $ 208,800 60% US Country 301,139,947 7.0% 86 37.9 $ 50,233 $ 243,742 46% Source: City-Data.com & Wikipedia. “% Change Since 2000” refers to the percentage change between 2000 and 2007 for the figures in the column to the left (population or median house price). “Town” signifies any municipality with less than 10,000 inhabitants. “n/a” signifies data not available. 98
A.6 WIKCDC Study Area: Kewaunee and Door Counties (Wisconsin) Figure A - 7: Map <strong>of</strong> WIKCDC Study Area Note: “Sold Homes” include all sold homes both before and after construction. Area Description This study area includes the Red River (17 turbines, 14 MW) and Lincoln (14 turbines, 9 MW) wind facilities. It is situated on the “thumb” jutting into Lake Michigan, Northeast <strong>of</strong> Green Bay, Wisconsin, and spans two counties, Kewaunee and Door. <strong>The</strong>re is a mix <strong>of</strong> agricultural, small rural residential, waterfront, and urban land use in this area. <strong>The</strong> three largest towns are Algoma to the East <strong>of</strong> the facilities and on the lake, Casco, which is six miles due South <strong>of</strong> the turbines, and Luxemburg, four miles West <strong>of</strong> Casco. <strong>The</strong>re is a smaller village, Brussels, to the North in Door County. <strong>The</strong> remainder <strong>of</strong> the homes is situated on the water or in small rural residential parcels between the towns. Topographically, the “thumb” is relatively flat except for a slight crown in the middle, and then drifting lower to the edges. <strong>The</strong> East edge <strong>of</strong> the “thumb” ends in bluffs over the water, and the western edge drops <strong>of</strong>f more gradually, allowing those parcels to 99
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LBNL-2829E ERNEST ORLANDO LAWRENCE
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LBNL-2829E The <st
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Table of Contents
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List of Tables Tab
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Acknowledgements The</stron
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This report builds on the previous
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Table ES-2: Impact
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Figure ES-3: Base Model Results: Sc
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In the Distance Stability Model, fo
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1. Introduction Wind</stron
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model 7 and uses various forms <str
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A particularly useful application <
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Using different statistical methods
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Table 1: Summary of</strong
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By using a variety of</stro
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minimum of 164 fee
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3.2.2. GIS Data GIS data on parcel
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In addition to the qualitative VIEW
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with the rest of t
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Figure 4: Frequency of</str
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4. Base Hedonic Model This section
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impose the least structure on the u
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of the home, home
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etween the reference study area (WA
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Figure 7: Results from the Base Mod
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5. Alternative Hedonic Models <stro
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concentrated inside of</str
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all other components are as defined
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the distance from them might not oc
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explanation is that the additional
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6) More than four years after const
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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
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
Page 115: facilities than the towns o
Page 121 and 122: elatively high elevations o
Page 123 and 124: A.8 PAWC Study Area: Wayne County (
Page 125 and 126: Census Statistics Name Type 2007 Po
Page 127 and 128: ural landscapes, with the largest p
Page 129 and 130: A.10 NYMC Study Area: Madison Count
Page 133 and 134: account, combined with the determin
Page 135 and 136: Appendix C: Field Data Collection I
Page 137 and 138: Figure A - 14: Field Data Collectio
Page 139 and 140: ABOVE AVERAGE VISTA PREMIUM VISTA 1
Page 141 and 142: EXTREME VIEW 6 turbines visible fro
Page 143 and 144: 5 is a vector of d
Page 145 and 146: values, that effect seems likely to
Page 147 and 148: unrestricted Home and Site Characte
Page 149 and 150: with coefficients above zero and th
Page 151 and 152: Figure A - 15: Histogram of
Page 153 and 154: The M Distance his
Page 155 and 156: sold within the preceding six month
Page 157 and 158: Appendix H: Alternative Models: Ful
Page 159 and 160: Table A - 8: Full Results for the C
Page 161 and 162: Table A - 10: Full Results for the
Page 163 and 164: Table A - 11: Full Results for the
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The Impact of Wind Power Projects on Residential Property Values ...

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