APPENDIX 7.0-B BC Stats BC Input - Output Model Report

KITSAULT MINE PROJECT ENVIRONMENTAL ASSESSMENT APPENDICES APPENDIX 7.0-B BC Stats BC Input - Output Model Report VE51988 Appendices

KITSAULT MINE PROJECT ENVIRONMENTAL ASSESSMENT - APPENDICES BC INPUT-OUTPUT MODEL REPORT BC INPUT-OUTPUT MODEL REPORT DESCRIPTION An Excel file was provided to AMEC Earth and Environmental by Avanti in response to questions about the costs of construction and operation, broken down by source. AMEC submitted this cost information to BC Stats for use in its Input-Output (I/O) model with the focus for modelling purposes, to identify that portion of the expenditures for the proposed Project that would occur in British Columbia (BC). Thus, based on the percentages used in the tables, it was calculated that $487 million of the estimated $837 million total construction cost would be expected to be spent in BC. Similarly, it was assumed that 80% of the cost of construction labour would be spent in BC; an estimated total of about $133.1 million. Other information from Avanti indicated that there would be an average of 450 workers on site over the 2 years, with a peak of 600. It was decided to base the construction employment numbers on the peak (1200 person-years, of which 960 would be BC residents) rather than the average (900 person-years, of which 720 would be BC residents). This decision was made as it was determined that an average cost of $185,000 per man-year was too high especially when compared to the average cost per man-year of $138,000. Instead, using the I/O model estimates using standard leakages, and the average cost per person-year estimated using the peak labour force, which gave a number of $138,600, was considered a better fit. The operational data was used as is, but again, noting that, based on the information from Avanti, 63% of total annual spending would occur in BC, including 90% of labour. This Appendix includes a Word document provided by BC Stats that summarises the results of the I/O modelling exercise. It explains the process used for the calculations. It specifically notes that, because of the limited amount of expenditure data provided by for the proposed Project, the model was run using "average expenditure patterns" for mining industry projects. BC Stats provided two scenarios for both construction and operation: one that used standard leakages to estimate all economic impacts, as well as a second scenario that used the employment and labour income numbers that AMEC provided based on the Avanti data. It should be noted that the "standard leakage" version assumes that all labour and labour income will involve BC residents, whereas the information provided by Avanti suggested that 80% of construction labour and 90% of operational labour would come from BC. The impact estimates were based on the "client specified leakages" as the basis for the assessment report and data presented in the Application. Version 1.0 VE51988 Appendix 7.0-B November 2011 Page 1

Lillian Hallin (250) 387-0366 Lillian.Hallin@gov.bc.ca June 14, 2011 BC Input-Output Model Report Kitsault Mine Background This report summarizes the results of an inputoutput analysis that assesses the economic impact of the construction and operation of the Kitsault mine project. The project involves the construction and operation of a molybdenum mine in northern BC. Data inputs used in the analysis were provided to BC Stats by AMEC, and the information was used to determine the overall economic impact associated with the project. The British Columbia Input-Output Model (BCIOM) was used to generate the estimates. A description of the BCIOM, and the assumptions underlying input-output analysis, is included in the Appendix. About input-output analyses Input-output analyses highlight the relationships among producers and consumers (businesses as well as individuals) of goods and services. An input-output analysis is based on first identifying a basket of goods and services used by a specific project 1 and then tracing through all of the steps involved in producing those goods and services to identify the total extent to which the British Columbia economy will be affected by project expenditures. Three types of impacts Three different types of impacts are reported in a typical input-output analysis: 1 Or, in the case of an industry analysis, the total value of production by one or more industries. The direct impact measures the impact on BC industries supplying goods and services directly used by the project. The indirect impact measures the impact on BC industries that are further back in the supply chain. The indirect impact is cumulative, and includes transactions going all the way back to the beginning of the supply chain. The induced impact measures the effect that spending by workers (those employed by the project, or by direct and indirect supplier industries) has on the economy. How are economic impacts measured? Output, GDP, employment and tax revenues are the key measures used to assess the economic impacts associated with a project. In order to properly interpret the results of a BCIOM analysis, some background information about what these measures represent and how they are calculated may be helpful. A brief explanation of terms and concepts follows. Output is simply a measure of the total value of production associated with a project. In an industry-based analysis, output is equal to the value of goods and services produced by the BC industry or industries that are affected by a specific project. In an expenditure-based analysis, it can be measured as the total dollar amount of all spending on goods and services produced in BC. It should be noted that purchases of goods and services produced outside the province do not directly affect BC businesses, so these expenditures are explicitly excluded from the analysis. This is usually the main reason why the direct impact on BC Page 1 of 14

industries is less than initial project expenditures. Gross Domestic Product (GDP) is a measure of the value added (the unduplicated total value of goods and services) to the BC economy by current productive activities attributable to the project. It includes household income (wages, salaries and benefits, as well as income earned by proprietors of unincorporated businesses) from current productive activities as well as profits and other income earned by corporations. Only activities that occur within the province are included in GDP. Employment estimates generated by the model are derived from estimated wage costs using information on average annual wages in an industry. They are not full-time equivalent (FTE) measures. Instead, they reflect the wages paid and hours spent on the job by a typical worker in an industry. For an industry where most employees work full time, the numbers will be very similar to FTE counts. However, in an industry where part-time work is more common, the job counts will be quite different from FTEs. Government tax revenue estimates generated by the model include income taxes as well as commodity taxes. Provincial and federal tax revenues include federal and provincial personal and corporation income taxes. Also included are PST, GST and other commodity taxes such as gas taxes, liquor and lottery taxes and profits, air transportation taxes, duties and excise taxes. Property tax revenues are not included in the estimates. Municipal tax revenues are primarily related to accommodation taxes. A more detailed explanation of input-output modelling in general and the BCIOM in particular is included in the Appendix. Output or GDP: which measure should be used to evaluate economic impacts associated with a project? Output and GDP are both valid economic measures. However, there are some key differences between them that should be kept in mind when analyzing the results of an inputoutput analysis. Output measures correspond to total spending or production, but may overstate the economic impact of a project because the value of a good or service is counted each time it changes hands. If one is only looking at direct effects, output is a meaningful measure since it shows the total dollar value of industry production. However, there is a danger of double-counting when activities in industries further up the supply chain are also included. Output measures may overstate the indirect economic impact associated with a particular project since the activities of every industry that has contributed in some way to the creation of a final product are counted each time a good or service changes hands. For example, when a construction company builds a house, the selling price of the house includes: the cost of the land on which it is built; the cost of inputs (lumber, shingles, cement, carpets, paint, hardware, plumbing fixtures, architectural services and so on) purchased and used by the builder; and the value of the work done by the construction company. An output-based impact measure would include the entire selling price of the house (including all these imbedded costs) in the direct output of the construction industry. The value of architectural services included in the cost of the house would also be counted as an indirect output impact on the architectural services industry. The value of the lumber used would be counted as an indirect output impact on the wood industry, and going further back in the supply chain, the value of the logs used by the sawmill would be counted in the indirect output impact on the logging industry. In this example, the value of the logs used to produce the Page 2 of 14

building materials is counted at least three times: once in the direct output impact, and twice in the indirect output impacts on the sawmill and logging industries. In other words, the indirect output impact could be quite high simply because goods (or services) used in production have changed hands many times. Indirect output impacts provide useful information about the total amount of money that has changed hands as goods and services are transformed into final products. GDP is a better measures of the economic impact since the value of the work done by each industry is attributed only to the producing industry, and is counted only once. GDP is calculated by subtracting the cost of purchased goods, services and energy from the total value of an industry s output. As a result, the value of the work done by a producing industry is only counted once. In the construction example, the direct GDP impact would only include the value of the work done by the construction firm. The indirect impact on the sawmill industry would only include the value of the work done to transform the logs into lumber, and the indirect impact on the logging industry would be a measure of the value of the work done by the loggers. There is no double counting in GDP measures. It should be noted that the relationship between GDP and output is a useful analytical measure since it shows the extent to which industries rely on labour and capital as opposed to material and service inputs in production. The analysis of economic impacts relies on this relationship, since output is more easily and directly measured than GDP. In fact, the starting point for most input-output analyses is a measure of the direct output associated with a project. From this, known relationships between output and other indicators such as GDP and employment can be used to estimate the economic impact associated with a specific project. Page 3 of 14

Sources of data The data inputs used for this study were provided to BC Stats by AMEC. During the construction phase, total expenditures are expected to be $837 million, including purchases of goods and services made in the province and those sourced outside BC. It is important to distinguish between goods and services that are made in BC and those purchased in BC. Goods purchased from local suppliers such as wholesalers may be locally sourced, even if they are not made in BC. From the perspective of input-output modelling, only those goods actually produced by BC industries have a significant economic impact, since an increase in the demand for these goods and services provides jobs for workers in the province, and boosts the output of the affected industries. Two scenarios were considered for both the construction and operating phases. In the first scenario, the BCIOM was used to estimate actual spending on goods and services produced in BC. In the second scenario, information provided by the client was used to estimate total expenditures in BC. The client estimated that total spending on goods and services supplied by BC industries during the construction phase would be $487 million. Using the model, it was estimated that BC industries would supply $584 million of the $837 million spent on goods and services during construction. Annual operating costs for the mine are expected to be $120 million. Based on model averages, it is expected that purchases of goods and services produced in BC will average $87 million per year. The alternative scenario, which relies on information provided by the client, suggests that annual spending on BC-made Summary of Results, Kitsault Mine goods and services will be about $118 million per year. The data provided to BC Stats was at a fairly aggregated level. Therefore, average expenditure patterns from the model were used to determine the allocation of spending on goods and services used by the mine during both the construction and operating phases. For example, equipment costs, which represent $225 million of the $837 million total cost of the construction project, were treated as purchases of mining machinery, construction machinery, and other types of capital equipment typically purchased by the metal mining industry. The allocation of expenditures to different types of equipment was based on model averages. Similarly the cost of materials was allocated to BCIOM categories using average expenditure patterns for similar types of construction projects. The same approach was taken when allocating annual operating costs to BCIOM categories. Purchase prices of goods and services typically include embedded costs (e.g., transportation, or wholesaling services, or taxes such as fuel and excise taxes). Model averages were used to estimate the transportation, tax and other margins included in the purchase price of goods and services used in the construction and operating phase. It should be noted that the project direct GDP figure reported in the tables only includes household income (the wage component of GDP). No information on profits or other sources of income was provided by the client. This means that the project direct GDP figure may be understated. (The indirect and induced GDP impacts reported in the tables are calculated by the model and include all sources of income). Direct employment associated with the project was supplied by the client. Page 4 of 14

Key Assumptions The wage component of the labour cost estimate is assumed to include pre-tax wages, salaries and supplementary income (e.g., the employer s share of contributions to EI or CPP). The model s estimates of income tax revenues are calculated by estimating income taxes associated with a given wage. For the calculation of induced effects, it is assumed that 80% of workers earnings will be used to purchase goods and services in the province (the remaining 20% goes to taxes, other payroll deductions, and savings). It is assumed that a social safety net is in place, and that workers hired to work on the project previously had some income from EI or other safety net programs (note: the social safety net assumption only affects the estimate of worker spending, which is the induced effect associated with the project). Summary of Results: Construction Phase The results of the input-output analysis are summarized below. Although the analysis included two scenarios for each phase, this summary focuses on the results calculated using standard model leakages. Construction of the mine is expected to cost $837 million. Of this total, $108 million is expected to be spent on goods or services imported from other countries, with another $162 million spent on imports from other parts of Canada, and $3 million coming from inventories held by BC industries. Of the $564 million spent on goods and services produced in BC, $166 million is expected to be spent on wages and salaries, with commodity taxes accounting for another $3 million during the construction phase. The direct BC supply (total purchases of goods and services produced in BC) is estimated at $394 million. Based on information supplied by the client, direct employment during construction is estimated at 1,200 workers. Another 2,450 worker-years of employment are expected to be generated in industries directly supplying goods and services used by the project, with another 1,390 jobs generate in industries further up the supply chain. It should be noted that the indirect and induced employment figures calculated by the model are based on average annual wages in the affected industries. The indirect and induced employment figures represent total employment over the life the project. If the construction of the mine is expected to occur over a period of several years, these employment figures can be divided by the appropriate number of years to derive average annual indirect and induced employment during the mine construction. The GDP associated with the activities of BC industries supplying goods and services used during the construction phase is expected to be $194 million, with another $101 million of GDP generated in industries further up the supply chain. Re-spending by workers employed as a result of the project is expected to generate $95 million of GDP during the construction phase (this figure is quite high, and is likely a reflection of the relatively high wage rate assumed for workers directly employed on the project). Government tax revenues are estimated at $92 million, including $36 million in income and commodity taxes associated with project direct spending, and another $56 million generated by the activities of workers and firms in supplier industries. Summary of Results: Operating Phase Annual operating costs for the mine are estimated at $120 million. Of this total, it is expected that $12 million will be spent on goods or services imported from other countries, with another $21 million of purchases made from producers in the rest of Canada. Wages, salaries and benefits paid to workers employed by the mine are expected to total $23 million annually. The direct BC supply (the value of goods and services supplied by BC Page 5 of 14

companies) is estimated at $61 million per year. Based on information supplied by the client, 300 people will be employed by the mine. Another 330 worker-years of employment are expected to be generated in direct supplier industries. It should be noted that the indirect and induced employment figures calculated by the model are based on average annual wages in the affected industries. Annual government revenues associated with the mine operation are expected to total $13 million (including direct, indirect and induced impacts). Of this total, $4million is expected to come directly from the mine operations, with the remainder of the government revenues generated as a result of the activities of firms and workers in supplier industries. Page 6 of 14

Kitsault mine Construction costs (estimated using standard leakages) Total impact, including project expenditures and supplier industry impacts Direct Indirect Induced** Total Project cost, Construction costs (estimated using standar 837 Change in supplier industry output ($M) 394 229 156 779 GDP at basic prices ($M) Construction costs (estimated using standard leakages) 166 166 Supplier industry impacts 194 101 95 390 Employment (#)* 6,207 Construction costs (estimated using standard leakages) 1,200 1,200 Supplier industry impacts 2,451 1,387 1,169 5,007 Household income ($M) 428 Construction costs (estimated using standard leakages) 166 166 Supplier industry impacts 137 68 56 262 Tax revenue ($M) 92 Construction costs (estimated using standard leakages) 36 36 Supplier industry impacts 28 15 13 56 Multipliers (per dollar of output in direct supplier industries) Direct Indirect Induced** Total Total output 1.0000 0.5811 0.3957 1.9767 Total GDP 0.4919 0.2566 0.2407 0.9892 Total household income 0.3480 0.1733 0.1422 0.6635 Total government revenue 0.0720 0.0391 0.0318 0.1429 Total employment (jobs per $M) 6.2192 3.5186 2.9664 12.7042 * Based on average annual wages in 2009 ** Assumes a social safety net is in place. *** Note that project expenditure data may not include all components of GDP (e.g., operating surplus) Allocation of Project Expenditures Construction costs (estimated using standard leakages) Total expenditures, construction costs (estimated using standard leakages) ($M) 837 minus imports from other countries 108 imports from other provinces 162 other leakages (e.g. withdrawals from inventory) 3 Equals: Construction costs (estimated using standard leakages) on goods & services produced in BC ($M 564 Of which: Wages, benefits, unincorporated business income and operating surplus ($M) 166 Taxes on factors of production net of subsidies ($M) 0 Taxes on products net of subsidies ($M) 3 Direct BC supply ($M) 394 ( the change in BC supplier industry output associated with construction costs (estimated using standard leakages)) Project employment during construction costs (estimated using standard leakages) (#) 1,200 Household income included in construction costs (estimated using standard leakages) ($M) 166 Tax revenue derived from direct project expenditures Construction costs (estimated using standard leakages) Federal Provincial Local Total Total, all sources 24 11 0 36 Taxes on products net of subsidies ($M) 1 2 0 3 Taxes on factors of production net of subsidies ($M) 0 0 0 0 Personal income taxes ($M) 23 10 32 Corporate income taxes ($M) 0 0 0 (income taxes paid on worker's wages and returns to capital reported in project expenditure) Supplier Industry Impacts Direct Indirect Total, direct & indirect Induced ** Output ($M) 394 229 623 156 GDP at basic prices* ($M) 194 101 295 95 Employment (#)* 2,451 1,387 3,838 1,169 Household income ($M) 137 68 205 56 Total tax revenue ($M) 28 15 44 13 Federal ($M) 15 8 22 4 Personal income tax 11 5 17 3 Corporation income tax 4 2 7 2 Net taxes on products -1 0-1 -1 Provincial ($M) 10 6 16 5 Personal income tax 4 2 7 1 Corporation income tax 1 1 2 1 Net taxes on products 4 3 7 3 Local ($M) 3 2 6 3 Page 7 of 14

Kitsault mine Construction costs (estimated using client-specified leakages) Total impact, including project expenditures and supplier industry impacts Direct Indirect Induced** Total Project cost, Construction costs (estimated using client-sp 487 Change in supplier industry output ($M) 343 191 132 666 GDP at basic prices ($M) Construction costs (estimated using client-specified leak 133 133 Supplier industry impacts 171 85 80 336 Employment (#)* 5,323 Construction costs (estimated using client-specified leak 960 960 Supplier industry impacts 2,196 1,174 992 4,363 Household income ($M) 363 Construction costs (estimated using client-specified leak 133 133 Supplier industry impacts 124 58 48 230 Tax revenue ($M) 77 Construction costs (estimated using client-specified leak 28 28 Supplier industry impacts 25 13 11 49 Multipliers (per dollar of output in direct supplier industries) Direct Indirect Induced** Total Total output 1.0000 0.5581 0.3861 1.9442 Total GDP 0.4982 0.2471 0.2348 0.9802 Total household income 0.3630 0.1686 0.1387 0.6703 Total government revenue 0.0740 0.0378 0.0310 0.1428 Total employment (jobs per $M) 6.4090 3.4257 2.8947 12.7294 * Based on average annual wages in 2009 ** Assumes a social safety net is in place. *** Note that project expenditure data may not include all components of GDP (e.g., operating surplus) Allocation of Project Expenditures Construction costs (estimated using client-specified leakages) Total expenditures, construction costs (estimated using client-specified leakages) ($M) 487 minus imports from other countries 0 imports from other provinces 6 other leakages (e.g. withdrawals from inventory) 1 Equals: Construction costs (estimated using client-specified leakages) on goods & services produced in B 478 Of which: Wages, benefits, unincorporated business income and operating surplus ($M) 133 Taxes on factors of production net of subsidies ($M) 0 Taxes on products net of subsidies ($M) 2 Direct BC supply ($M) 343 ( the change in BC supplier industry output associated with construction costs (estimated using client-specified leakag Project employment during construction costs (estimated using client-specified leakages) (#) 960 Household income included in construction costs (estimated using client-specified leakages) ($M) 133 Tax revenue derived from direct project expenditures Construction costs (estimated using client-specified leakages) Federal Provincial Local Total Total, all sources 19 9 0 28 Taxes on products net of subsidies ($M) 1 1 0 2 Taxes on factors of production net of subsidies ($M) 0 0 0 0 Personal income taxes ($M) 18 8 26 Corporate income taxes ($M) 0 0 0 (income taxes paid on worker's wages and returns to capital reported in project expenditure) Supplier Industry Impacts Direct Indirect Total, direct & indirect Induced ** Output ($M) 343 191 534 132 GDP at basic prices* ($M) 171 85 255 80 Employment (#)* 2,196 1,174 3,371 992 Household income ($M) 124 58 182 48 Total tax revenue ($M) 25 13 38 11 Federal ($M) 14 6 20 4 Personal income tax 10 4 15 3 Corporation income tax 3 2 5 1 Net taxes on products 0 0 0-1 Provincial ($M) 9 5 13 4 Personal income tax 4 2 6 1 Corporation income tax 1 1 2 1 Net taxes on products 3 2 6 2 Local ($M) 3 2 5 3 Page 8 of 14

Kitsault mine Average annual operating expenditures (estimated using standard leakages) Total impact, including project expenditures and supplier industry impacts Direct Indirect Induced** Total Project cost, Average annual operating expenditures (est 120 Change in supplier industry output ($M) 61 27 16 104 GDP at basic prices ($M) Average annual operating expenditures (estimated using 24 24 Supplier industry impacts 33 13 10 56 Employment (#)* 919 Average annual operating expenditures (estimated using 300 300 Supplier industry impacts 331 167 121 619 Household income ($M) 57 Average annual operating expenditures (estimated using 23 23 Supplier industry impacts 19 8 6 33 Tax revenue ($M) 13 Average annual operating expenditures (estimated using 4 4 Supplier industry impacts 6 2 1 9 Multipliers (per dollar of output in direct supplier industries) Direct Indirect Induced** Total Total output 1.0000 0.4485 0.2667 1.7152 Total GDP 0.5465 0.2086 0.1622 0.9173 Total household income 0.3178 0.1334 0.0958 0.5471 Total government revenue 0.0907 0.0317 0.0214 0.1438 Total employment (jobs per $M) 5.4474 2.7440 1.9996 10.1910 * Based on average annual wages in 2009 ** Assumes a social safety net is in place. *** Note that project expenditure data may not include all components of GDP (e.g., operating surplus) Allocation of Project Expenditures Average annual operating expenditures (estimated using standard leakages) Total expenditures, average annual operating expenditures (estimated using standard leakages) ( 120 minus imports from other countries 12 imports from other provinces 21 other leakages (e.g. withdrawals from inventory) 0 Equals: Average annual operating expenditures (estimated using standard leakages) on goods & services 86 Of which: Wages, benefits, unincorporated business income and operating surplus ($M) 23 Taxes on factors of production net of subsidies ($M) 0 Taxes on products net of subsidies ($M) 2 Direct BC supply ($M) 61 ( the change in BC supplier industry output associated with average annual operating expenditures (estimated using s Project employment during average annual operating expenditures (estimated using standard leakages) 300 Household income included in average annual operating expenditures (estimated using standard leakage 23 Tax revenue derived from direct project expenditures Average annual operating expenditures (estimated using standard leakages) Federal Provincial Local Total Total, all sources 2 2 0 4 Taxes on products net of subsidies ($M) 1 1 0 2 Taxes on factors of production net of subsidies ($M) 0 0 0 0 Personal income taxes ($M) 2 1 2 Corporate income taxes ($M) 0 0 0 (income taxes paid on worker's wages and returns to capital reported in project expenditure) Supplier Industry Impacts Direct Indirect Total, direct & indirect Induced ** Output ($M) 61 27 88 16 GDP at basic prices* ($M) 33 13 46 10 Employment (#)* 331 167 498 121 Household income ($M) 19 8 27 6 Total tax revenue ($M) 6 2 7 1 Federal ($M) 3 1 4 0 Personal income tax 2 1 2 0 Corporation income tax 1 0 1 0 Net taxes on products 0 0 0 0 Provincial ($M) 2 1 2 1 Personal income tax 1 0 1 0 Corporation income tax 0 0 1 0 Net taxes on products 1 0 1 0 Local ($M) 1 0 1 0 Page 9 of 14

Kitsault mine Average annual operating expenditures (estimated using client-specified leakages) Total impact, including project expenditures and supplier industry impacts Direct Indirect Induced** Total Project cost, Average annual operating expenditures (est 75 Change in supplier industry output ($M) 49 20 12 81 GDP at basic prices ($M) Average annual operating expenditures (estimated using 21 21 Supplier industry impacts 26 10 7 43 Employment (#)* 661 Average annual operating expenditures (estimated using 270 270 Supplier industry impacts 192 108 91 391 Household income ($M) 43 Average annual operating expenditures (estimated using 21 21 Supplier industry impacts 12 5 4 22 Tax revenue ($M) 11 Average annual operating expenditures (estimated using 4 4 Supplier industry impacts 5 1 1 7 Multipliers (per dollar of output in direct supplier industries) Direct Indirect Induced** Total Total output 1.0000 0.3994 0.2453 1.6447 Total GDP 0.5259 0.1956 0.1492 0.8707 Total household income 0.2485 0.1103 0.0881 0.4470 Total government revenue 0.0924 0.0286 0.0197 0.1408 Total employment (jobs per $M) 3.8906 2.1983 1.8391 7.9280 * Based on average annual wages in 2009 ** Assumes a social safety net is in place. *** Note that project expenditure data may not include all components of GDP (e.g., operating surplus) Allocation of Project Expenditures Average annual operating expenditures (estimated using client-specified leakages) Total expenditures, average annual operating expenditures (estimated using client-specified leaka 75 minus imports from other countries 0 imports from other provinces 2 other leakages (e.g. withdrawals from inventory) 0 Equals: Average annual operating expenditures (estimated using client-specified leakages) on goods & se 73 Of which: Wages, benefits, unincorporated business income and operating surplus ($M) 21 Taxes on factors of production net of subsidies ($M) 0 Taxes on products net of subsidies ($M) 2 Direct BC supply ($M) 49 ( the change in BC supplier industry output associated with average annual operating expenditures (estimated using c Project employment during average annual operating expenditures (estimated using client-specified leak 270 Household income included in average annual operating expenditures (estimated using client-specified le 21 Tax revenue derived from direct project expenditures Average annual operating expenditures (estimated using client-specified leakages) Federal Provincial Local Total Total, all sources 2 2 0 4 Taxes on products net of subsidies ($M) 1 1 0 2 Taxes on factors of production net of subsidies ($M) 0 0 0 0 Personal income taxes ($M) 1 1 2 Corporate income taxes ($M) 0 0 0 (income taxes paid on worker's wages and returns to capital reported in project expenditure) Supplier Industry Impacts Direct Indirect Total, direct & indirect Induced ** Output ($M) 49 20 69 12 GDP at basic prices* ($M) 26 10 36 7 Employment (#)* 192 108 300 91 Household income ($M) 12 5 18 4 Total tax revenue ($M) 5 1 6 1 Federal ($M) 2 1 3 0 Personal income tax 1 0 1 0 Corporation income tax 1 0 1 0 Net taxes on products 0 0 0 0 Provincial ($M) 1 0 2 0 Personal income tax 0 0 1 0 Corporation income tax 0 0 1 0 Net taxes on products 1 0 1 0 Local ($M) 1 0 1 0 * Includes wages, benefits, unincorporated business income, operating surplus and net taxes on factors of production Page 10 of 14

Interpreting the BCIOM results BCIOM model results are summarized in the tables attached to this report. This section defines some of the terms and concepts used in the report tables and explains how they are calculated. Variables that are calculated directly from information supplied by clients Total project expenditure is usually provided by the client, and includes all direct expenditures associated with the project. There are no jobs, GDP or output associated with the production of goods and services that are imported into the province. Therefore an estimate of the value of imported goods and services is deducted from project direct spending to determine the value of project expenditure in BC. Estimates of wages, salaries and other components of GDP provided by the client are reported in project direct GDP at basic prices. About Project Direct GDP Estimates It should be noted that project direct GDP figures are derived from information provided by clients. These figures are usually project-specific, but they are not always based on complete information. For example, it is often possible to get good data on wages and salaries associated with a project or activity. Labour costs are the biggest component of GDP, but other variables which ought to be included in the estimate (such as investment income, operating surplus, or depreciation) are not always known. When the GDP figures generated by the BCIOM are based on partial information, they may understate the project s direct contribution to GDP. Project direct employment is derived based on the project s wage bill and estimates of average annual wages in the industry. Household income is calculated based on project direct wages, benefits and mixed income. Variables that are estimated using model information Commodity taxes less subsidies is calculated using information on average sales and other tax rates associated with each good or service purchased by the project. Project expenditure in BC is traced back to the producing industries in order to determine the direct BC supply. Because industries do not produce taxes, wages or other components of GDP, the direct BC supply only includes the value of goods and services produced by BC industries. Direct project spending on wages, salaries, operating surplus and taxes are excluded from this measure. An estimate of corporate and personal income taxes associated with these project direct expenditures is calculated using information on average tax rates from the model. BCIOM impact estimates The model is shocked using the direct BC supply calculated from the information provided by the client. This is used to determine the total economic impact of the project on the BC economy, which is reported in terms of direct, indirect and induced impacts. The direct impact measures the change in economic activity required to satisfy the initial change in demand. The direct output impact is equal to the direct BC supply the change in the economic activity of the industries producing the goods and services purchased by the project. The direct GDP impact is the GDP generated as a result of the activities of the industries that produce the goods and services used by the project. Page 11 of 14

The direct employment impact shows total employment in these industries, and the direct household income impact is a measure of the wages, salaries, benefits and other income earned by these workers. The direct tax revenue impact includes personal, corporation, sales and other taxes generated as a result of the activities of the industries that supply the goods and services used by the project. The allocation of tax revenues to federal, provincial and local governments is based on model averages. Induced effects The induced effect, which measures the impact associated with expenditures by workers, includes purchases of a variety of goods and services, including housing. More detailed information about the impacts is available in the report tables included in this document. Page 12 of 14

Appendix Some background on input-output models and analysis Input-output analysis is based on statistical information about the flow of goods and services among various sectors of the economy. This information, presented in the form of tables, provides a comprehensive and detailed representation of the economy for a given year. An input-output model is essentially a database showing the relationship between commodity usage and industry output. It consists of three components: a table showing which commodities both goods and services are consumed by each industry in the process of production (the input matrix) a table showing which commodities are produced by each industry (the output matrix) a table showing which commodities are available for consumption by final users (the final demand matrix). These data are combined into a single model of the economy which can be solved to determine how much additional production is generated by a change in the demand for one or more commodities or by a change in the output of an industry. Changing the usage or production of a commodity or group of commodities is often referred to as shocking the model. The known relationship between goods and services in the economy is used to generate an estimate of the economic impact of such a change. If a change in demand is met by increasing or decreasing imports from other jurisdictions, there is no net effect on domestic production. All of the benefits or costs associated with employment generation or loss, and other economic effects, will occur outside the region. Therefore, it is important to identify whether or not a change in the demand for a good or service is met inside or outside a region. Assumptions and Caveats From an IO perspective, commodities made in BC have a much bigger impact than those imported into the province. The analysis presented here is based on using default import ratios for most commodities: i.e., assuming they are purchased locally, but allowing for the fact that they may have been manufactured elsewhere. All tax data were generated using the model structure, and are based on averages for an industry or commodity. The precision of the figures in the tables should not be taken as an indication of their accuracy. Economic modelling is an imprecise science and the estimates in this report are probably no better than +/- 10%. The British Columbia Input-Output Model The BCIOM can be viewed as a snapshot of the BC economy. It is derived from inter-provincial input-output tables developed by Statistics Canada and includes details on 727 commodities, 300 industries, 170 final demand categories, and a set of computer algorithms to do the calculations required for the solution of the model. It can be used to predict how an increase or a decrease in demand for the products of one industry will have an impact on other industries and therefore on the entire economy. Limitations and caveats associated with input-output analysis Input-output analysis is based on various assumptions about the economy and the inter- Page 13 of 14

relationships between industries. These assumptions are listed below: Input-output models are linear. They assume that a given change in the demand for a commodity or for the outputs of a given industry will translate into a proportional change in production. Input-output models do not take into account the amount of time required for changes to happen. Economic adjustments resulting from a change in demand are assumed to happen immediately. It is assumed that there are no capacity constraints and that an increase in the demand for labour will result in an increase in employment (rather than simply re-deploying workers). It is assumed that consumers spend an average of 80% of their personal income on goods and services. The remaining 20% of personal income is consumed by taxes, or goes into savings. The BCIOM is based on a snapshot of the BC economy in 2006. It is assumed that relationships between industries are relatively stable over time, so that the 2006 structure of the economy continues to be applicable today. However, it should be noted that employment estimates have been adjusted to reflect wage levels for the year of the expenditures in each case. The BCIOM does not distinguish between regional effects. It will not, for example, differentiate between the economic impact of a plant located in one region of the province and a similar plant elsewhere in BC. Page 14 of 14