Livestock products - corporate emissions B
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Beef packing corporations emissions
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Calculations sheet
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For more information, contact Devlin Kukek, GRAIN, grain@grain.org
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A. Cattle slaughtered, slaughter regions, weights, and emissions related to those cattle and their processing—top-10 largest processing corporations globally
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Data on numbers slaughtered
Regionalization
Determining live weight based on percentage from beef vs dairy herds
Weight of cattle
Conv. factorCarcass wt.Conv. factor
EMISSIONS
Checks
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Cattle slaughtered annually (millions of head)Reference year of slaughter estimatesProduction regions and slaughter numbers or percentagesRegions (based on FAO/ GLEAM categorization)Percent activity in each regionCattle slaughtered in region annually (millions of head)Typical percentage of slaughter cattle drawn from beef herd in regionTypical percentage of slaughter cattle drawn from dairy herd in regionTypical average live weight of slaughter cattle from the beef herd (kgs)Typical average live weight of slaughter cattle from the dairy herd (kgs)Weight of cattle slaughtered (millions of kgs)Dressing percentages / carcass weight conversion factors (kg carcass per kg live wt.)Beef processed, carcass weight (millions of kgs)Emissions factor(s) (kg CO2-eq per kg carcass weight)Corporation's regional GHG emissions from cattle production (millions of kgs CO2-eq)Corporation's TOTAL GHG emissions from cattle processing and production (tonnes of CO2-eq)Percent company's cattle represents of total cattle-related GHG emissions (2.9 billion tonnes per year w/ 25 CH4 GWP)Percent company's cattle represents of total cattle-related GHG emissions (3.4 billion tonnes per year w/ 34 CH4 GWP)Percent company's cattle represents of total cattle number slaughtered each year (300,074,797 animals)Emissions per animal slaughtered (kgs)Dairy vs beef herd draw checksumLive weight per animal (kgs)Carcass weight per animalCarcass weight as percentage of live weightEmissions per kg of live weight (kg CO2-eq per kg live weight)Emissions per kg of carcass weight (kg CO2-eq per kg carcass weight)Emissions per kg of carcass weight as a percentage of emissions per kg of live weightCorporation's TOTAL GHG emissions from cattle production (using global average figure, at right) (tonnes of CO2-eq)TOUCHSTONE: Global average emissions per animal slaughtered (kgs) (3.4 billion tonnes / 300 million head *FAO) —> 11,330.51 Average emissions per animal slaughtered calculated in this analysis (kgs) —> 12,391.97
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1.    JBS S.A. (Brazil)17.402016Capacity: Can. & US 29,000/day; Australia 10,200/d; Brazil 34,600/d; Argentina 2,000/d; Uruguay 900/d; Paraguay 3,000/d (a)Region 1N. America36% 6.33 76%24%598.2614.5 3,811.96 56.67% 2,160.11 35.74 77,201 236,166,896 8.14%7.03%5.80% 13,572.81 100%602.09 341.18 56.7%26.849.853.8% 197,150.85
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Region 2Oceania (b)13% 2.23 62%38%382.0421.0 883.66 51.67% 456.56 32.56 14,866 100%396.82 205.02 51.7% -
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Region 3LAC (c)51% 8.84 69%31%449.5503.5 4,122.45 51.67% 2,129.93 67.65 144,100 100%466.24 240.89 51.7% -
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2.    Tyson Foods, Inc. (USA)7.702016All in the US (a)Region 1N. America100% 7.70 76%24%598.2614.5 4,636.07 56.67% 2,627.10 35.74 93,891 93,891,084 3.24%2.80%2.57% 12,193.65 100%602.09 341.18 56.7%20.335.756.7% 87,244.91
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3.    Cargill, Inc. (USA)7.602016Can. & US 6 mill./year; Australia 1.6 mill./year (a)Region 1N. America79% 6.00 76%24%598.2614.5 3,614.93 56.67% 2,048.46 35.74 73,211 83,865,168 2.89%2.50%2.53% 11,034.89 100%602.09 341.18 56.7%19.735.355.9% 86,111.86
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Region 2Oceania (b)21% 1.60 62%38%382.0421.0 633.32 51.67% 327.22 32.56 10,655 100%396.82 205.02 51.7% -
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4.    National Beef Packing Company, LLC (USA)
3.402016All in the US (a)Region 1N. America100% 3.40 76%24%598.2614.5 2,047.09 56.67% 1,160.02 35.74 41,458 41,458,401 1.43%1.23%1.13% 12,193.65 100%602.09 341.18 56.7%20.335.756.7% 38,523.73
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5.    Minerva Foods S.A. (Brazil)2.132016All production in Brazil, Uruguay, Paraguay, with a little in Columbia (a)Region 1LAC (c)100% 2.13 69%31%449.5503.5 993.09 51.67% 513.10 67.65 34,713 34,713,450 1.20%1.03%0.71% 16,297.39 100%466.24 240.89 51.7%35.067.751.7% 24,133.98
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6.    Marfrig Global Foods S.A. (Brazil)2.202016Largely Brazil. Probably Brazil, Uruguay, and ChileRegion 1LAC (c)100% 2.20 69%31%449.5503.5 1,025.73 51.67% 529.96 67.65 35,854 35,854,267 1.24%1.07%0.73% 16,297.39 100%466.24 240.89 51.7%35.067.751.7% 24,927.12
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7.    Groupe Bigard SA (France)1.302016Largely in FranceRegion 1W. Europe100% 1.30 30%70%531.0549.8 707.44 50.67% 358.44 20.32 7,282 7,282,422 0.25%0.22%0.43% 5,601.86 100%544.18 275.72 50.7%10.320.350.7% 14,729.66
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8.    ABP Food Group (Ireland)1.002016Ireland, UK, Denmark, Poland, Austria, Holland, and Spain (a)Region 1W. Europe83% 0.83 30%70%531.0549.8 451.67 50.67% 228.85 20.32 4,650 5,399,624 0.19%0.16%0.33% 5,399.62 100%544.18 275.72 50.7%12.023.650.7% 11,330.51
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Region 2E. Europe17% 0.17 1%99%530.0527.3 89.65 50.67% 45.42 16.51 750 100%527.36 267.20 50.7% -
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9. VION Food Group (Netherlands)0.922016Probably all in Netherlands and Germany (a)Region 1W. Europe100% 0.92 30%70%531.0549.8 500.65 50.67% 253.66 20.32 5,154 5,153,714 0.18%0.15%0.31% 5,601.86 100%544.18 275.72 50.7%10.320.350.7% 10,424.07
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10.   NH Foods Ltd. (Japan)0.782016Australia, Uruguay, and Japan (a)Region 1Oceania (b)75% 0.5840 62%38%382.0421.0 231.73 51.67% 119.73 32.56 3,898 6,837,590 0.24%0.20%0.26% 8,723.19 100%396.82 205.02 51.7%21.541.651.7% 8,881.32
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Region 2LAC (c)18% 0.1447 69%31%449.5503.5 67.45 51.67% 34.85 67.65 2,358 100%466.24 240.89 51.7%
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Region 3E&SE Asia7% 0.0540 77%23%350.8335.5 18.76 51.67% 9.69 60.02 582 100%347.31 179.44 51.7%
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Notes and sources(a)(a)calculationcalculation(g, Table 22, p. 123 )(g, Table 22, p. 123 )(h)(h)calculation(h)calculation(d) (e) (f) calculation summation calculation calculation calculation calculation calculation calculation calculation calculation calculation calculation calculation
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See Sec. D, below
See Sec. D, below
See Sec. E, below
See Sec. E, below
See Sec. F, below
See Sec. C, below
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Total, all corps —> 44.4 23835.6405713003.0892
Total, all corps —>
550,622,615
Total, all corps —>
16.4%14.8%
Total, all corps —>
503,458
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B. General equation for calculating emissions per company
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Total corporate emissions = cattle slaughtered (millions of head) x live weight of each animal (kgs) x conversion factor to dressed/carcass weight (factor) x emissions intensity (kgs CO2-eq per kg of carcass weight)
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Example: VION 0.92 million head per year x 544 kg per head x 50.67% dressing factor x 20.32 kgs CO2-eq per kg carcass weight = 5.15 million tonnes CO2-eq
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C. Regional emission factors. 2010 reference year. Source: FAO/GLEAM, by request (d)
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kg CO2-eq per kg carcass weight (e)
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Latin America and the Caribbean (LAC) (c) 67.65
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East and South-East Asia (E & SE Asia) 60.02
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Eastern Europe (E. Europe) 16.51
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North America (N. America) 35.74
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Oceania (b) 32.56
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Russian Federation (Russian Fed.) 15.38
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South Asia 83.85
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Sub-Saharan Africa (SSA) 66.54
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Near East and North Africa (NENA) 43.96
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Western Europe (W. Europe) 20.32
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WORLD 52.36
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(d) (e) (f)
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D. Percentage of slaughter animals drawn from dairy vs beef herds.
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Source: FAO, "Greenhouse Gas Emissions from Ruminant Supply Chains," http://www.fao.org/docrep/018/i3461e/i3461e.pdf
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E. Live weight of cattle
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* We do not have company-specific data regarding their intake of various cattle types: male, female, slaughter/fattened, culled, etc. Thus, to calculate an average weight of a slaughtered animal, we have utilized a simple 3:2:1 ratio, representing the relative number of male slaughter cattle (slaughter steers, or "meat male animal" in GLEAM's terms) to female slaughter cattle (slaughter heifers, or "meat female animal") to culled cows ("adult females"). This simplifying assumption is based on numbers found in Dudley et al., “Uncertainties in Life Cycle Greenhouse Gas Emissions from U.S. Beef Cattle.” Journal of Cleaner Production 75 (July 15, 2014): 31–39. See next.
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In a simplified version of the model used in Dudley et al., a herd of 100 cows could produce each year for slaughter: 45 steers ("meat male animals"), 30 heifers ("meat female animals"), and 15 culled cows ("adult females"); as well as 15 heifers to replace the culled/slaughtered cows. (Bulls would be produced for slaughter, too, but <1 per year.) A ratio of 45:30:15 = 3:2:1.
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Source for cattle liveweights: GLEAM 2.0 Supplement S1, online Excel workbook, available at http://www.fao.org/gleam/resources/en/ See also http://www.fao.org/fileadmin/user_upload/gleam/docs/GLEAM_2.0_Supplement_S1.xlsx
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TABLE 2.5. Herd parameters for beef cattle, regional averages
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ParameterNARUSWEEENENAESEAOCESALACSSA
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Live weights (kg)
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Adult females (AFkg)650-531530341425382337473250.0
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Adult males (AMkg)838-690689472539497480639341.0
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Calves (Ckg)40-3535222825223221.0
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Meat female animals (MFkg)562-53153034133638293425235.0
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Meat male animals (MMkg)605-53153034133638293458254.0
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Calculated average live weight using the 3:2:1 ratio
598.17-531.00530.00341.00350.83382.00133.67449.50247.00
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TABLE 2.4. Herd parameters for dairy cattle, regional averages
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ParameterNARUSWEEENENAESEAOCESALACSSA
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Live weights (kg)
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Adult females (AFkg)750500594514370398461336556287.0
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Adult males (AMkg)894650773669507499599476726329.0
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Calves (Ckg)41334034242531223720.0
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Meat female animals (MFkg)561530541530350323413138493210.0
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Meat male animals (MMkg)605530541530350323413138493210.0
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Calculated average live weight using the 3:2:1 ratio
614.50525.00549.83527.33353.33335.50421.00171.00503.50222.83
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F. Dressed weight conversion factors
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Source: GLEAM 2.0 Supplement S1, online Excel workbook, available at http://www.fao.org/gleam/resources/en/ See also http://www.fao.org/fileadmin/user_upload/gleam/docs/GLEAM_2.0_Supplement_S1.xlsx
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* To get an average conversion factor for dressed weight, we first determine whether the bulk of slaughter cattle in a region come from the beef or dairy herds and then takes the simple average for the conversion factors in either the beef or dairy herds. The overall number is not very sensitive to this simplifying assumption.
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TABLE 9.2. Dressing percentages
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NARUSWEEENENAESEAOCESALACSSA
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Beef
Pork
Chicken
Dairy
Totals and summary
GLEAM beef (non feedlots)
GLEAM pork
GLEAM milk
GLEAM chicken
GLEAM 2010 update protein
Table of contents
Tab. 2.4
Tab. 2.5
Tab. 2.6
Tab. 2.7
Tab. 2.10
Tab. 2.11
Tab. 2.14
Tab. 2.15
Tab. 2.16
Tab. 2.19
Tab. 2.20
Tab. 2.21
Tab. 3.1
Tab. 3.5
Tab. 3.7
Tab. 3.8
Tab. 3.9
Tab. 3.10
Tab. 3.11
Tab. 3.12
Tab. 3.13
Tab. 3.16
Tab. 3.17
Tab. 3.18
Tab. 3.19
Tab. 3.20
Tab. 3.21
Tab. 3.22
Tab. 3.23
Tab. 4.2
Tab. 4.3
Tab. 4.4
Tab. 4.5
Tab. 4.6
Tab. 4.7
Tab. 4.8
Tab. 4.9
Tab. 4.10
Tab. 4.11
Tab. 6.1
Tab. 6.2
Tab. 6.3
Tab. 6.4
Tab 6.5
Tab 6.6
Tab. 6.7
Tab. 6.8
Tab. 6.12
Tab. 6.13
Tab. 6.14
Tab. 7.1
Tab. 7.2
Tab. 7.3
Tab. 7.4
Tab. 7.5
Tab. 7.6
Tab. 7.7
Tab. 8.1
Tab. 8.2
Tab. 9.2
 
 
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