Overview of Input-Output Accounting and Economic-Environmental Integration
This content provides insights into input-output accounting, flow accounting, environmental-economic integration, and the integration of economic data. It covers topics such as the economy, natural resources, sector-wise analysis, flow of goods and services, and the relationship between supply and demand. The content emphasizes the importance of understanding economic activities in relation to environmental factors and offers a basic identity model for estimating gross production based on final demand and industry-specific requirements.
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Input-Output Accounting UNSD SEEA Training of Trainers Seminar July 7-10, 2014, New York Joe St. Lawrence Statistics Canada
The Economy The Economy and The Environment and The Environment -Natural Resources -Ecosystem Services Stocks The Economy Flows -Residuals Expenditures 2024-09-26 Statistics Canada Statistique Canada 2
SNA view SNA view Industries Final demand Assets Sectors Financial and produced assets, opening balance Industrial output of goods and services Industrial intermediate demand Gross fixed capital formation Final demand Commodities Wastes Other changes in volume & holding gains/losses on financial & produced assets Sectors Financial and produced assets, closing balance 2024-09-26 Statistics Canada Statistique Canada 3
Flow Accounting Flow Accounting United Nations, 2012, System of Environmental-Economic Accounting: Central Framework (white cover draft), New York. http://unstats.un.org/unsd/envaccounting/White_cover.pdf 2024-09-26 Statistics Canada Statistique Canada 4
Flow Accounting Flow Accounting United Nations, 2012, System of Environmental-Economic Accounting: Central Framework (white cover draft), New York. http://unstats.un.org/unsd/envaccounting/White_cover.pdf 2024-09-26 Statistics Canada Statistique Canada 5
Integration Integration the IO tables the IO tables 235 280 1 U F q 473 473 473 primary primary 473 1 V g 235 235 2024-09-26 Statistics Canada Statistique Canada 6
Integration Integration the common denominator the common denominator = E/g 1 1 1 / =235 g E 235 235 2024-09-26 Statistics Canada Statistique Canada 7
Integration Integration the IO model the IO model Basic identity: supply = demand q + inv- + m = u + fd + x + inv+ By substituting for market share (D=V/q) and technology (B=U/g), we get: g = (I - DB)-1Df Allows an estimate of the gross production (g) required from each industry to satisfy a given final demand (f) based on pre-defined relationships of market-share (D) and technology (B) 2024-09-26 Statistics Canada Statistique Canada 8
Sample results Sample results attribution to demand attribution to demand g* = (I - DB)-1Dfpe Greenhouse Gas Emissions (carbon dioxide equivalents) attributable to household purchases and consumption, 2002 1 1 kilotonnes 5,023 3,066 3,741 4,750 5,521 38,874 15,554 43,343 7,315 2,281 10,781 14,555 15,972 39,011 209,787 41,719 69,557 111,276 321,064 % Motor vehicles, parts & repairs Furniture and household appliances Other durable goods Clothing and footwear Other semi-durable goods Food and non-alcoholic beverage Motor fuels and lubricants Electricity Natural Gas Other fuels Other non-durable goods Gross rent (imputed and paid) Restaurants & hotels Other services Sub total, indirect emissions Heating, lighting and appliances Motor fuels and lubricants Sub total, direct emissions 1.6% 1.0% 1.2% 1.5% 1.7% 12.1% 4.8% 13.5% 2.3% 0.7% 3.4% 4.5% 5.0% 12.2% 65.3% 13.0% 21.7% 34.7% 100.0% Indirect emissions = * g* 235 235 Direct emissions Total GHG emissions attributable to households 2024-09-26 Statistics Canada Statistique Canada 9
Sample results Sample results time series time series 2024-09-26 Statistics Canada Statistique Canada 10
Sample results Sample results direct and indirect direct and indirect intensities (multipliers) intensities (multipliers) Direct plus indirect energy intensity by industry, 1990-2007 Industry1 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 gigajoules per thousand current dollars of production 1 2 3 4 5 6 7 8 9 Crop and animal production Forestry and logging Fishing, hunting and trapping Support activities for agriculture and forestry Oil and gas extraction Coal mining Metal ore mining Non-metallic mineral mining and quarrying Support activities for mining and oil and gas extraction Electric power generation, transmission and distribution Natural gas distribution, water and other systems Residential building construction Non-residential building construction Transportation engineering construction Oil and gas engineering construction Electric power engineering construction Communication engineering construction Other engineering construction Repair construction Other activities of the construction industry Animal food manufacturing Sugar and confectionery product manufacturing Fruit and vegetable preserving and specialty food manufacturing 13.12 Dairy product manufacturing Meat product manufacturing Seafood product preparation and packaging Miscellaneous food manufacturing Soft-drink and ice manufacturing Breweries 18.70 11.80 11.81 11.78 32.49 18.18 17.78 22.87 14.87 62.63 12.34 8.94 7.87 18.63 11.59 6.97 7.58 8.17 8.06 9.53 15.57 9.74 20.57 11.96 12.56 10.91 37.12 19.21 19.49 23.82 14.42 57.47 10.67 9.37 8.37 19.36 12.26 7.12 8.66 8.69 8.33 10.40 16.16 11.03 12.54 16.25 16.67 11.13 10.82 11.12 8.09 21.63 12.24 11.41 11.30 36.93 18.80 18.76 22.70 17.02 57.87 12.06 9.69 8.57 18.94 12.87 7.27 8.57 9.14 8.56 10.42 16.44 10.23 12.71 16.98 17.11 11.42 11.24 10.26 8.46 19.70 10.73 9.60 10.83 33.72 16.99 20.00 22.37 16.09 51.07 13.52 9.41 8.65 18.08 11.95 7.14 8.48 8.80 8.19 10.41 15.73 9.58 12.50 15.88 16.34 10.25 11.31 10.97 8.08 18.68 10.48 13.57 10.53 31.93 17.24 17.93 21.75 13.54 49.54 11.65 9.12 8.26 17.64 11.17 6.70 8.21 8.11 7.92 10.02 15.32 9.54 12.57 15.43 15.67 11.21 11.45 11.45 7.55 18.44 11.66 12.07 9.90 33.44 16.98 15.49 20.39 12.11 50.17 11.20 8.53 7.70 16.90 10.00 6.26 7.69 7.73 7.12 9.41 14.70 8.41 11.68 15.25 15.10 10.51 10.82 11.29 6.84 17.56 10.17 13.58 9.42 26.15 18.05 15.96 20.27 11.68 49.01 15.05 8.27 7.63 15.64 10.66 6.36 7.58 7.55 6.82 9.69 14.55 8.55 11.16 13.87 14.36 11.79 10.86 10.80 6.60 17.96 11.60 19.11 9.43 25.64 18.36 16.78 19.23 11.73 53.41 14.89 7.94 6.94 14.96 10.19 5.32 7.45 6.68 6.40 13.95 13.74 8.18 10.62 13.71 14.25 13.60 10.92 10.24 6.39 17.19 11.18 18.25 7.54 34.34 16.70 18.24 17.93 12.16 60.78 9.86 8.07 6.96 14.52 10.48 5.25 7.53 6.55 6.29 12.43 12.89 7.78 11.32 13.20 13.24 12.82 10.25 10.31 6.48 16.39 10.78 15.81 9.90 29.94 19.94 16.76 16.39 11.82 57.54 8.83 7.64 6.98 13.86 10.43 5.05 7.50 6.37 5.86 12.53 12.18 7.50 9.91 12.70 13.18 11.24 10.25 9.75 6.02 15.39 10.96 14.93 11.38 18.27 17.30 14.49 16.12 10.87 57.11 7.16 6.92 6.20 12.41 8.90 4.55 6.51 5.62 5.28 10.33 11.69 7.40 9.80 11.78 12.38 10.79 9.75 8.49 5.79 15.50 8.58 13.08 10.61 17.91 16.81 16.48 14.77 10.89 60.23 5.92 6.73 6.03 13.35 8.65 4.31 6.35 5.41 5.29 12.10 10.67 6.70 9.19 11.48 12.46 9.70 9.02 8.38 5.65 15.24 8.59 12.47 10.76 21.29 15.49 16.66 14.15 10.37 54.54 6.01 6.70 6.09 12.25 8.32 4.12 6.25 4.99 5.25 10.34 10.42 6.84 8.98 11.66 11.96 9.19 9.16 6.94 5.97 14.89 9.30 12.26 10.99 17.52 19.87 16.29 13.78 10.51 53.86 6.04 6.64 6.01 12.08 8.36 4.16 6.39 4.90 5.35 9.67 10.35 6.32 8.81 11.55 11.15 9.29 9.32 7.05 5.48 13.27 8.40 12.31 10.55 14.57 15.77 11.71 11.38 9.36 49.16 5.89 6.21 5.71 11.65 7.74 3.67 5.78 4.84 5.10 8.86 9.80 6.10 8.30 10.45 10.23 8.75 8.68 6.69 4.55 13.03 8.53 10.74 10.88 11.90 7.88 10.10 10.15 8.99 44.94 5.74 5.82 5.28 10.16 7.11 3.70 5.40 4.46 4.69 7.75 9.03 6.03 8.79 9.92 9.63 8.07 8.26 6.19 4.19 1 * 235 = 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 (I - DB) -1 235 235 15.46 15.87 10.45 12.04 10.73 8.95 2024-09-26 Statistics Canada Statistique Canada 11
Numerical example Numerical example farms mines 10 0 10 0 100 0 10 5 food manuf. other manuf. services 0 80 0 0 5 100 5 0 200 10 5 0 5 5 15 20 USE (U) cattle iron ore milk cheese fuel steel cars advertising 10 100 0 0 5 5 0 0 50 145 50 0 10 20 5 40 2024-09-26 Statistics Canada Statistique Canada 12
Numerical example Numerical example farms mines 10 0 10 0 100 0 10 5 food manuf. other manuf. services 0 80 0 0 5 100 5 0 200 10 5 0 5 5 15 20 USE (U) cattle iron ore milk cheese fuel steel cars advertising 10 100 0 0 5 5 0 0 50 145 50 0 10 20 5 40 cattle iron ore 100 0 0 0 0 milk 0 100 0 0 0 cheese fuel steel 0 cars 0 0 0 150 0 advertising 0 0 0 200 0 MAKE (V) farms mines food manuf. other manuf. services 100 10 0 200 0 0 0 0 0 1000 80 0 0 0 0 0 10 0 100 2024-09-26 Statistics Canada Statistique Canada 13
Numerical example Numerical example farms mines 10 0 10 0 100 0 10 5 food manuf. other manuf. services 0 80 0 0 5 100 5 0 200 10 5 0 5 5 15 20 USE (U) cattle iron ore milk cheese fuel steel cars advertising Final Demand 10 100 0 0 5 5 0 0 0 0 60 200 600 50 145 50 0 10 20 0 5 165 40 0 cattle iron ore 100 0 0 0 0 milk 0 100 0 0 0 cheese fuel steel 0 cars 0 0 0 150 0 advertising 0 0 0 200 0 MAKE (V) farms mines food manuf. other manuf. services 100 10 0 200 0 0 0 0 0 1000 80 0 0 0 0 0 10 0 100 2024-09-26 Statistics Canada Statistique Canada 14
Numerical example Numerical example farms mines 10 0 10 0 100 0 10 5 food manuf. other manuf. services 0 80 0 0 5 100 5 0 200 10 5 0 5 5 15 20 USE (U) cattle iron ore milk cheese fuel steel cars advertising Final Demand 10 100 0 0 5 5 0 0 0 0 60 200 600 50 145 50 0 10 20 0 5 165 40 0 cattle iron ore 100 0 0 0 0 milk 0 100 0 0 0 cheese fuel steel 0 cars 0 0 0 150 0 advertising 0 0 0 200 0 MAKE (V) farms mines food manuf. other manuf. services g 100 10 0 200 0 0 0 0 210 1100 280 360 100 0 1000 80 0 0 0 0 0 10 0 100 100 100 180 210 1010 150 200 100 q 2024-09-26 Statistics Canada Statistique Canada 15
Numerical example Numerical example other manuf. farms mines food manuf. services B (U/g) cattle iron ore milk cheese fuel steel cars advertising 0.05 0.00 0.05 0.00 0.48 0.00 0.05 0.02 0.00 0.00 0.00 0.00 0.18 0.00 0.00 0.01 0.29 0.00 0.36 0.00 0.04 0.00 0.02 0.07 0.03 0.28 0.00 0.00 0.14 0.40 0.01 0.11 0.00 0.00 0.05 0.05 0.50 0.00 0.10 0.20 0.6 0.2 0.8 0.97 0.9 2024-09-26 Statistics Canada Statistique Canada 16
Numerical example Numerical example other manuf. farms mines food manuf. services B (U/g) cattle iron ore milk cheese fuel steel cars advertising 0.05 0.00 0.05 0.00 0.48 0.00 0.05 0.02 0.00 0.00 0.00 0.00 0.18 0.00 0.00 0.01 0.29 0.00 0.36 0.00 0.04 0.00 0.02 0.07 0.03 0.28 0.00 0.00 0.14 0.40 0.01 0.11 0.00 0.00 0.05 0.05 0.50 0.00 0.10 0.20 0.6 0.2 0.8 0.97 0.9 cattle iron ore milk cheese fuel steel cars advertising D (V/q) farms mines food manuf. other manuf. services 1.00 0.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.56 0.00 0.44 0.00 0.00 0.05 0.00 0.95 0.00 0.00 0.00 0.99 0.00 0.01 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 1.00 0.00 0.00 0.00 0.00 0.00 1.00 1 1 1 1 1 1 1 1 2024-09-26 Statistics Canada Statistique Canada 17
Numerical example Numerical example other manuf. farms mines food manuf. services (I-DB) farms mines food manuf. other manuf. services 1.11 0.74 0.04 0.13 0.07 0.01 1.26 0.01 0.03 0.03 0.65 0.59 1.22 0.14 0.16 0.08 1.13 0.03 1.80 0.27 0.12 1.01 0.12 0.27 1.32 dollars of output from industry at row to deliver (to final demand) a dollar of output from industry at column meaning? 2024-09-26 Statistics Canada Statistique Canada 18
Numerical example Numerical example other manuf. g g=(I-DB) De farms mines food manuf. services (I-DB) farms mines food manuf. other manuf. services 210 1100 280 360 100 210 1100 280 360 100 1.11 0.74 0.04 0.13 0.07 0.01 1.26 0.01 0.03 0.03 0.65 0.59 1.22 0.14 0.16 0.08 1.13 0.03 1.80 0.27 0.12 1.01 0.12 0.27 1.32 dollars of output from industry at row to deliver (to final demand) a dollar of output from industry at column meaning? 2024-09-26 Statistics Canada Statistique Canada 19
Numerical example Numerical example other manuf. farms only 47.51138 7.0069 141.1847 14.29702 De g=(I-DB) De farms mines food manuf. services (I-DB) farms mines food manuf. other manuf. services decompostion of row one of (I-DB) times column one of De (Row 1 of (I-DB) times column of De) 42.86 594.06 217.14 170.94 0.00 210 1100 280 360 100 1.11 0.74 0.04 0.13 0.07 0.01 1.26 0.01 0.03 0.03 0.65 0.59 1.22 0.14 0.16 0.08 1.13 0.03 1.80 0.27 0.12 1.01 0.12 0.27 1.32 0 210 1.11 * 42.86 ($1.11 of production from farms is required to deliver a dollar of production from farms, so to get 42.86 of final demand we need farms to produce 47.5 dollars of output) Plus: 0.01 * 594.06 ($0.01 of production from farms is required to deliver a dollar of production from mines, so to get 594.06 of final demand we need farms to produce 7 dollars of output) Plus: 0.65 * 217.14 ($0.65 of production from farms is required to deliver a dollar of production from food manufacturers, so to get 217.14 of final demand we need farms to produce 141.2 dollars of output) Plus: 0.08 * 170.94 ($0.08 of production from farms is required to deliver a dollar of production from other manufacturers, so to get 170,94 of final demand we need farms to produce 14.3 dollars of output) Plus: 0.12 * 0 ($0.12 of production from farms is required to deliver a dollar of production from services, so to get 0.00 to final demand we need farms to produce 0 dollars of output) So, to deliver all of final demand, farms must produce 210 dollars of gross output 2024-09-26 Statistics Canada Statistique Canada 20
Sample results Sample results direct and indirect direct and indirect intensities (multipliers) intensities (multipliers) Direct plus indirect energy intensity by industry, 1990-2007 Industry1 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 gigajoules per thousand current dollars of production 1 2 3 4 5 6 7 8 9 Crop and animal production Forestry and logging Fishing, hunting and trapping Support activities for agriculture and forestry Oil and gas extraction Coal mining Metal ore mining Non-metallic mineral mining and quarrying Support activities for mining and oil and gas extraction Electric power generation, transmission and distribution Natural gas distribution, water and other systems Residential building construction Non-residential building construction Transportation engineering construction Oil and gas engineering construction Electric power engineering construction Communication engineering construction Other engineering construction Repair construction Other activities of the construction industry Animal food manufacturing Sugar and confectionery product manufacturing Fruit and vegetable preserving and specialty food manufacturing 13.12 Dairy product manufacturing Meat product manufacturing Seafood product preparation and packaging Miscellaneous food manufacturing Soft-drink and ice manufacturing Breweries 18.70 11.80 11.81 11.78 32.49 18.18 17.78 22.87 14.87 62.63 12.34 8.94 7.87 18.63 11.59 6.97 7.58 8.17 8.06 9.53 15.57 9.74 20.57 11.96 12.56 10.91 37.12 19.21 19.49 23.82 14.42 57.47 10.67 9.37 8.37 19.36 12.26 7.12 8.66 8.69 8.33 10.40 16.16 11.03 12.54 16.25 16.67 11.13 10.82 11.12 8.09 21.63 12.24 11.41 11.30 36.93 18.80 18.76 22.70 17.02 57.87 12.06 9.69 8.57 18.94 12.87 7.27 8.57 9.14 8.56 10.42 16.44 10.23 12.71 16.98 17.11 11.42 11.24 10.26 8.46 19.70 10.73 9.60 10.83 33.72 16.99 20.00 22.37 16.09 51.07 13.52 9.41 8.65 18.08 11.95 7.14 8.48 8.80 8.19 10.41 15.73 9.58 12.50 15.88 16.34 10.25 11.31 10.97 8.08 18.68 10.48 13.57 10.53 31.93 17.24 17.93 21.75 13.54 49.54 11.65 9.12 8.26 17.64 11.17 6.70 8.21 8.11 7.92 10.02 15.32 9.54 12.57 15.43 15.67 11.21 11.45 11.45 7.55 18.44 11.66 12.07 9.90 33.44 16.98 15.49 20.39 12.11 50.17 11.20 8.53 7.70 16.90 10.00 6.26 7.69 7.73 7.12 9.41 14.70 8.41 11.68 15.25 15.10 10.51 10.82 11.29 6.84 17.56 10.17 13.58 9.42 26.15 18.05 15.96 20.27 11.68 49.01 15.05 8.27 7.63 15.64 10.66 6.36 7.58 7.55 6.82 9.69 14.55 8.55 11.16 13.87 14.36 11.79 10.86 10.80 6.60 17.96 11.60 19.11 9.43 25.64 18.36 16.78 19.23 11.73 53.41 14.89 7.94 6.94 14.96 10.19 5.32 7.45 6.68 6.40 13.95 13.74 8.18 10.62 13.71 14.25 13.60 10.92 10.24 6.39 17.19 11.18 18.25 7.54 34.34 16.70 18.24 17.93 12.16 60.78 9.86 8.07 6.96 14.52 10.48 5.25 7.53 6.55 6.29 12.43 12.89 7.78 11.32 13.20 13.24 12.82 10.25 10.31 6.48 16.39 10.78 15.81 9.90 29.94 19.94 16.76 16.39 11.82 57.54 8.83 7.64 6.98 13.86 10.43 5.05 7.50 6.37 5.86 12.53 12.18 7.50 9.91 12.70 13.18 11.24 10.25 9.75 6.02 15.39 10.96 14.93 11.38 18.27 17.30 14.49 16.12 10.87 57.11 7.16 6.92 6.20 12.41 8.90 4.55 6.51 5.62 5.28 10.33 11.69 7.40 9.80 11.78 12.38 10.79 9.75 8.49 5.79 15.50 8.58 13.08 10.61 17.91 16.81 16.48 14.77 10.89 60.23 5.92 6.73 6.03 13.35 8.65 4.31 6.35 5.41 5.29 12.10 10.67 6.70 9.19 11.48 12.46 9.70 9.02 8.38 5.65 15.24 8.59 12.47 10.76 21.29 15.49 16.66 14.15 10.37 54.54 6.01 6.70 6.09 12.25 8.32 4.12 6.25 4.99 5.25 10.34 10.42 6.84 8.98 11.66 11.96 9.19 9.16 6.94 5.97 14.89 9.30 12.26 10.99 17.52 19.87 16.29 13.78 10.51 53.86 6.04 6.64 6.01 12.08 8.36 4.16 6.39 4.90 5.35 9.67 10.35 6.32 8.81 11.55 11.15 9.29 9.32 7.05 5.48 13.27 8.40 12.31 10.55 14.57 15.77 11.71 11.38 9.36 49.16 5.89 6.21 5.71 11.65 7.74 3.67 5.78 4.84 5.10 8.86 9.80 6.10 8.30 10.45 10.23 8.75 8.68 6.69 4.55 13.03 8.53 10.74 10.88 11.90 7.88 10.10 10.15 8.99 44.94 5.74 5.82 5.28 10.16 7.11 3.70 5.40 4.46 4.69 7.75 9.03 6.03 8.79 9.92 9.63 8.07 8.26 6.19 4.19 1 * 235 = 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 (I - DB) -1 235 235 15.46 15.87 10.45 12.04 10.73 8.95 2024-09-26 Statistics Canada Statistique Canada 21
Numerical example Numerical example Intensity indicators emissions per unit of output (direct emissions intensity) a a farms mines co2/g 0.5 food manuf.other manuf. services 0.3 farms mines food manuf.other manuf. services 0.65 0.59 1.22 0.14 0.16 (I-DB) farms mines food manuf. other manuf. services 0.8 0.4 0.1 1.11 0.74 0.04 0.13 0.07 0.01 1.26 0.01 0.03 0.03 0.08 1.13 0.03 1.80 0.27 0.12 1.01 0.12 0.27 1.32 alpha inverse 1.218388 1.030774 1.234589 1.698604 1.139405 So, a a*(I-DB) for row of a a times column 1 of (I-DB) is... 0.5 * 1.11 (1.11 dollars of production from farms is required to deliver a dollar of production from farms. Farms emit .05 CO2 per dollar of output,so in terms of emissions this is:) 0.8 * 0.74 (0.74 dollars of production from mines is required to deliver a dollar of production from farms. Mines emit .8 CO2 per dollar of output, so in terms of emissions this is:) 0.3 * 0.04 (0.04 dollars of production from food manuf. Is required to deliver a dollar of production from farms. Food manuf. Emit .3 CO2 per dollar of output, so in terms of emissions:) 0.011714 0.4 * 0.13 (0.13 dollars of production from other manuf. Is required to deliver a dollar of output from farms. Other manuf. Emit .4 CO2 per dollar of output, so in terms of emissions:) 0.1 * 0.01 (0.01 dollars of production from services is required to deliver a dollar of output from farms. Services emit .1 CO2 per dollar of output, so in terms of emissions this is:) 0.554299 0.594947 plus plus plus plus 0.05075 0.006678 1.218388 SUM This is the total emissions required (direct plus indirect) from all industries per dollar of output from farms. 2024-09-26 Statistics Canada Statistique Canada 22
Questions? Questions? Joe St. Lawrence Joe St. Lawrence Environment Accounts and Statistics | Environment Accounts and Statistics | Comptes R.H. Coats Building | R.H. Coats Building | Immeuble Immeuble R. Statistics Canada | 100 Tunney's Pasture Driveway, Ottawa ON K1A 0T6 Statistics Canada | 100 Tunney's Pasture Driveway, Ottawa ON K1A 0T6 Statistique Statistique Canada | 100, promenade Tunney's Pasture, Ottawa ON K1A 0T6 Canada | 100, promenade Tunney's Pasture, Ottawa ON K1A 0T6 Joe.St.Lawrence@statcan.gc.ca Joe.St.Lawrence@statcan.gc.ca Telephone | Telephone | T l phone T l phone 613 613- -951 951- -7709 7709 Facsimile | Facsimile | T l copieur T l copieur 613 613- -951 951- -0634 0634 Government of Canada | Government of Canada | Gouvernement Gouvernement du Canada Comptes et H.- -Coats / Floor | Coats / Floor | tage et statistique statistique de tage 25 M de l'environnement l'environnement R.- -H. 25 M du Canada 2024-09-26 Statistics Canada Statistique Canada 23
