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

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Figure 11: Sales Volumes by PERIOD and DISTANCE<br />

Percentage<str<strong>on</strong>g>of</str<strong>on</strong>g>HomesThatSoldOfThoseAvailabletoSell<br />

6.0%<br />

5.5%<br />

5.0%<br />

4.5%<br />

4.0%<br />

3.5%<br />

3.0%<br />

2.5%<br />

2.0%<br />

1.5%<br />

1.0%<br />

0.5%<br />

0.0%<br />

Less Than<br />

3 Years<br />

Before<br />

Announcement<br />

After<br />

Announcement<br />

Before<br />

C<strong>on</strong>structi<strong>on</strong><br />

Inside One Mile<br />

Between One and Three Miles<br />

Between Three and Five Miles<br />

Less Than<br />

2 Years<br />

After<br />

C<strong>on</strong>structi<strong>on</strong><br />

Between<br />

2 and 4 Years<br />

After<br />

C<strong>on</strong>structi<strong>on</strong><br />

7.2. Model Form<br />

To investigate whether the rate <str<strong>on</strong>g>of</str<strong>on</strong>g> sales transacti<strong>on</strong>s is measurably affected by the wind facilities,<br />

the various resulting sales volumes shown above in Table 29 and Figure 11 are compared using a<br />

t-Test, as follows:<br />

t <br />

(x1<br />

x 2)<br />

s<br />

n<br />

s<br />

<br />

n<br />

2 2<br />

1 2<br />

1 2<br />

where<br />

xandx 1 2 are the mean sales volumes from the two categories being compared,<br />

2 2<br />

s1 and s<br />

2<br />

are variances <str<strong>on</strong>g>of</str<strong>on</strong>g> the sales volumes from the two categories being compared, and<br />

n1and n<br />

2<br />

are numbers <str<strong>on</strong>g>of</str<strong>on</strong>g> representative volumes in the two categories. 100<br />

<str<strong>on</strong>g>The</str<strong>on</strong>g> degrees <str<strong>on</strong>g>of</str<strong>on</strong>g> freedom used to calculate the p-value <str<strong>on</strong>g>of</str<strong>on</strong>g> the t statistic equals the lower <str<strong>on</strong>g>of</str<strong>on</strong>g> (n 1 – 1)<br />

or (n 2 – 1).<br />

Three sets <str<strong>on</strong>g>of</str<strong>on</strong>g> t-Tests are c<strong>on</strong>ducted. First, to test whether sales volumes have changed with time<br />

and are correlated with wind facility c<strong>on</strong>structi<strong>on</strong>, the volumes for each DISTANCE group in<br />

later periods (x 1 ) are compared to the volume in that same group in the pre-announcement period<br />

(x 2 ). Sec<strong>on</strong>d, to test whether sales volumes are impacted by distance to the nearest wind turbine,<br />

the volumes for each PERIOD group at distances closer to the turbines (x 1 ) are compared to the<br />

volume in that same group in the three to five mile distance band (x 2 ). Finally, for reas<strong>on</strong>s that<br />

will become obvious later, the sales volumes for each PERIOD group at distances within <strong>on</strong>e<br />

(12)<br />

100 <str<strong>on</strong>g>The</str<strong>on</strong>g> number <str<strong>on</strong>g>of</str<strong>on</strong>g> representative volumes could differ between the two categories. For instance, the “less than three<br />

years before announcement” category represents three years – and therefore three volumes – for each study area for<br />

each distance band, while the “less than two years after c<strong>on</strong>structi<strong>on</strong>” category represents two years – and therefore<br />

two volumes – for each study area for each distance band.<br />

65

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