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Ontario Power Generation's Response to the Joint Review

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Attachment 1 <strong>to</strong> OPG letter, Albert Sweetnam <strong>to</strong> Dr. Stella Swanson, “Deep Geologic Reposi<strong>to</strong>ry Project for Low and Intermediate Level Waste – Submission of<br />

<strong>Response</strong>s <strong>to</strong> <strong>the</strong> Final Sub-set of Package #4 Information Requests”, CD#: 00216-CORR-00531-00143.<br />

IR# EIS Guidelines<br />

Section<br />

Information Request and <strong>Response</strong><br />

Data Limitations<br />

1. The Input/Output calculations were derived using multipliers from <strong>the</strong> Statistics Canada, Interprovincial<br />

Input/Output model. These multipliers provide an order-of-magnitude representation of <strong>the</strong> Provincial<br />

economy. The multipliers used were <strong>the</strong> most recent available at <strong>the</strong> time and reflected conditions in <strong>the</strong> 2007<br />

economy.<br />

2. The direct labour assumptions and project costs used <strong>to</strong> input <strong>to</strong> <strong>the</strong> input/output calculations were derived<br />

from <strong>the</strong> NWMO. They reflected <strong>the</strong> best assumptions available on project cost and associated direct labour<br />

force complement at <strong>the</strong> time.<br />

3. The Input/Output results are produced at <strong>the</strong> Provincial level and <strong>the</strong>refore, <strong>to</strong> determine local effects, an<br />

allocation exercise was required. The input/output results were allocated <strong>to</strong> <strong>the</strong> Local Study Area (LSA),<br />

Regional Study Area (RSA) and outside study areas based on his<strong>to</strong>ric workforce data derived from an<br />

employee survey of <strong>the</strong> Western Waste Management Facility and from NWMO’s estimates of where major<br />

project expenditures might be made.<br />

4. The calculation of municipal impacts was formulated around population projections for <strong>the</strong> LSA and RSA<br />

municipalities. The assumptions behind <strong>the</strong>se population assumptions were derived from available municipal<br />

documents which, for <strong>the</strong> most part, gave estimates out <strong>to</strong> 2031. Beyond 2031 population forecasts were<br />

produced by extrapolating compound annual growth rates experienced in <strong>the</strong> study area municipalities during<br />

<strong>the</strong> period 2006 <strong>to</strong> 2031 out <strong>to</strong> 2062.<br />

5. Once <strong>the</strong> population forecasts were derived, <strong>the</strong> impacts on municipal services were calculated using 2009 per<br />

capita service ratios.<br />

6. Tax Assessment impacts were derived using <strong>the</strong> population projections and per capita tax assessment<br />

information derived from <strong>the</strong> 2008 Financial Information Returns for each of <strong>the</strong> study area municipalities.<br />

7. The effects tables provided in <strong>the</strong> EIS report provide an annual average estimate of effect for each of <strong>the</strong><br />

project phases (i.e., site preparation and construction, operation and decommissioning).<br />

Natural Variability<br />

The model describes human economic behavior. It is an extrapolation based on current economic conditions. There is<br />

inherent variability in <strong>the</strong> evolution of social and economic conditions that is likely larger on more local scales than<br />

regional scales.<br />

Model Error<br />

The economic model is a forecast model that uses available socio-economic information <strong>to</strong> anticipate likely project<br />

effects going forward. The results are order of magnitude and reflect reasonable estimates of what might happen in <strong>the</strong><br />

future given past trends, knowledge of current local conditions and assumptions <strong>the</strong> project over its lifecycle in terms of<br />

labour requirements and expenditures for goods and services. However, <strong>the</strong> results could be influenced if social and<br />

economic conditions going forward are dramatically different than socio-economic conditions at <strong>the</strong> time of writing.<br />

Page 13 of 69

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