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  2. Phụ lục

Phụ lục D8

D8. The demand sizing model

How the model behind the demand-sizing chapter works: seven routes, every assumption with its basis, results for 2025 to 2050, a sensitivity test and conversion into animals spared and CO2e avoided. About 11,000 to 17,000 t of the 19,000 t of protein on the benchmark path in 2035 would be made in Vietnam, and all results are what-if estimates.

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Trong trang này
  1. D8.1 Structure and equations
  2. D8.2 Assumptions
  3. D8.3 Results by route and scenario
  4. D8.4 What S-ALT 2030 would require from each route alone
  5. D8.5 Sensitivity
  6. D8.6 Limits
  7. D8.7 Funder units: animals spared, CO2e avoided and meals

What this appendix contains. The method, assumptions and full results of the model behind Demand sizing. The model is tools/demand_model.py (standard-library Python). It reads data/demand_assumptions.csv and the Part IV balance model outputs (data/balance_outputs.csv, S-BASE population and meat consumption) and writes data/demand_outputs.csv and data/demand_sensitivity.csv. Running python3 tools/demand_model.py from the package root reproduces both files exactly.

D8.1 Structure and equations

Common inputs, for each year: population P and meat consumption M (kt carcass weight) from S-BASE; meat protein MP = 0.15 x M (the balance model's factor); meat protein per person-day m = MP / P / 365.

RouteProtein delivered (kt)Meat protein displaced (kt)
R1 Ingredient import substitutionPool x domestic share, where pool = 40 kt of product in 2025 x 0.65 protein x (1 + growth) to the power of years since 20250
R2 Chay occasions(chay person-days + added person-days) x upgrade share x 20 g, where chay person-days = P x keepers x days per month / 30.4 x 365Added person-days x m x (1 minus compensation); existing chay days are reported separately as meat already avoided
R3 Hybrid processed meatMP x processed share x hybrid adoption x replacementDelivered x 0.9
R4 Institutional meals(canteen meals x canteen adoption + school meals x school adoption) x 20 gDelivered x 0.8
R5 Household modern analoguesUrban population x regular-buyer share x 3 kg x 15% proteinDelivered x 0.2
R6 High-protein plant milksPlant milk volume x high-protein share x 30 g per litre0
R7 ExportsExport tonnes x 25% protein0 (not in Vietnam)

Totals: delivered = sum of routes; displaced = sum of routes; displaced share = displaced / MP. Comparison rows: Part IV S-ALT food protein (1%, 3%, 5% and 10% of meat protein in 2030, 2035, 2040 and 2050) and S-ALT microbial feed protein. Ingredient product for R1 to R4 is delivered protein / 0.60, the protein content of textured-protein line output (50 to 70% as sold, TPP-01), which is lower than the 0.65 average of the R1 import pool because that pool includes gluten (75%) and isolates (90%); line equivalents = ingredient product / 7 kt a year per 1 t/h line. Value = delivered protein x USD 3 per kg (order of magnitude only).

What "delivered by domestic or novel protein" means. Only R1 applies an explicit domestic share. R2 to R6 count all plant or novel protein used in those routes, whatever its origin; much of it would be imported soy or pea unless a domestic maker wins the business. R7 counts protein exported. The line equivalents treat all R1 to R4 ingredient product as textured-line output, although much of the R1 pool is gluten and isolates, which need other plants. D8.3 gives the domestic reading and the soy-line count.

Requirement translation (2030 only). For each of R2 to R5, the model solves for the level that would displace S-ALT's 2030 volume on its own: hybrid adoption at 30% replacement; share of all canteen and school meal protein; regular buyers; and extra chay days per person per month across the whole population.

D8.2 Assumptions

IDParameterScenarioYearValueUnitBasisConfidence
DMA-001protein_per_kg_meat_cweALLALL0.15kg protein per kg carcass weightSame value as the balance model (BLA-044)Low
DMA-002urban_shareALL20250.388share of populationWorld Bank WDI (UN WUP, national definition)Medium
DMA-003urban_share_gainALLALL0.0057share points a yearassumption: the 2010 to 2025 average gain (30.3% to 38.8%) continues; capped at 0.60Low
DMA-004r1_food_plant_protein_ingredient_ktALL202540kt product a yearour estimate: partner-reported 2025 imports of HS 2106.10 (15.3 kt), 3504 (27.0 kt) and 1109 (22.0 kt), with 90%, 40% and 70% assumed to go to food; monthly trade points nearer 35 kt (see the notes below)Low
DMA-005r1_ingredient_protein_shareALLALL0.65kg protein per kg producttypical grades: TVP and concentrate 55 to 70%, gluten 75%, isolate 90%Low
DMA-006r1_pool_growthD-DRIFTALL0.04a yearassumption: slower than food processing outputLow
DMA-007r1_pool_growthD-BENCHALL0.06a yearassumption: below food processing growth (11% in 2025)Low
DMA-008r1_pool_growthD-STRETCHALL0.08a yearassumptionLow
DMA-009r1_domestic_shareD-DRIFT20250share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-010r1_domestic_shareD-DRIFT20300.02share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-011r1_domestic_shareD-DRIFT20350.05share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-012r1_domestic_shareD-DRIFT20400.07share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-013r1_domestic_shareD-DRIFT20500.1share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-014r1_domestic_shareD-BENCH20250share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-015r1_domestic_shareD-BENCH20300.1share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-016r1_domestic_shareD-BENCH20350.25share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-017r1_domestic_shareD-BENCH20400.33share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-018r1_domestic_shareD-BENCH20500.4share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-019r1_domestic_shareD-STRETCH20250share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-020r1_domestic_shareD-STRETCH20300.2share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-021r1_domestic_shareD-STRETCH20350.45share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-022r1_domestic_shareD-STRETCH20400.52share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-023r1_domestic_shareD-STRETCH20500.6share of the food plant-protein ingredient pool supplied by domestic or novel proteinscenario assumption: what-if, not a forecastLow
DMA-024r2_keeper_shareALLALL0.3share of people who keep lunar chay daysassumption: unmeasured; illustrative range 20 to 50% (CHY stream); Pew finds 38% of adults BuddhistLow
DMA-025r2_days_per_monthALLALL2.5chay days a month among keepersassumption: 2 (1st and 15th) to 4 days; whole-month observers ignoredLow
DMA-026r2_protein_component_gALLALL12g protein a chay day from tofu, mock meat, mushrooms and legumesassumption: chay foods have a median of 4.7 g protein per 100 g (FORM-01); no intake dataLow
DMA-027r2_upgraded_protein_gALLALL20g protein a chay day when upgraded products are useddesign target (10 to 12 g per 100 g products)Low
DMA-028r2_upgrade_shareD-DRIFT20250share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-029r2_upgrade_shareD-DRIFT20300.01share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-030r2_upgrade_shareD-DRIFT20350.02share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-031r2_upgrade_shareD-DRIFT20400.03share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-032r2_upgrade_shareD-DRIFT20500.05share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-033r2_upgrade_shareD-BENCH20250share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-034r2_upgrade_shareD-BENCH20300.03share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-035r2_upgrade_shareD-BENCH20350.08share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-036r2_upgrade_shareD-BENCH20400.11share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-037r2_upgrade_shareD-BENCH20500.15share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-038r2_upgrade_shareD-STRETCH20250share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-039r2_upgrade_shareD-STRETCH20300.06share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-040r2_upgrade_shareD-STRETCH20350.15share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-041r2_upgrade_shareD-STRETCH20400.22share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-042r2_upgrade_shareD-STRETCH20500.3share of chay days served with upgraded or novel protein productsscenario assumptionLow
DMA-043r2_added_daysD-DRIFT20250extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-044r2_added_daysD-DRIFT20300extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-045r2_added_daysD-DRIFT20350extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-046r2_added_daysD-DRIFT20400extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-047r2_added_daysD-DRIFT20500extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-048r2_added_daysD-BENCH20250extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-049r2_added_daysD-BENCH20300extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-050r2_added_daysD-BENCH20350.1extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-051r2_added_daysD-BENCH20400.15extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-052r2_added_daysD-BENCH20500.2extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-053r2_added_daysD-STRETCH20250extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-054r2_added_daysD-STRETCH20300.2extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-055r2_added_daysD-STRETCH20350.5extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-056r2_added_daysD-STRETCH20400.75extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-057r2_added_daysD-STRETCH20501.0extra chay days a month among keepersscenario assumption: more chay occasions (for example canteen chay days)Low
DMA-058r2_compensationALLALL0.3share of meat protein not eaten on an added chay day that is eaten on other daysassumption: no Vietnamese evidence (open question)Low
DMA-059r3_processed_shareALLALL0.05share of meat consumption (carcass weight) eaten as processed meat productsassumption: no national figure found; range 3 to 8% (giò, chả, xúc xích, ham, canned, dumpling fillings)Low
DMA-060r3_hybrid_adoptionD-DRIFT20250share of processed meat volume sold as hybridsscenario assumptionLow
DMA-061r3_hybrid_adoptionD-DRIFT20300.005share of processed meat volume sold as hybridsscenario assumptionLow
DMA-062r3_hybrid_adoptionD-DRIFT20350.01share of processed meat volume sold as hybridsscenario assumptionLow
DMA-063r3_hybrid_adoptionD-DRIFT20400.015share of processed meat volume sold as hybridsscenario assumptionLow
DMA-064r3_hybrid_adoptionD-DRIFT20500.02share of processed meat volume sold as hybridsscenario assumptionLow
DMA-065r3_hybrid_adoptionD-BENCH20250share of processed meat volume sold as hybridsscenario assumptionLow
DMA-066r3_hybrid_adoptionD-BENCH20300.02share of processed meat volume sold as hybridsscenario assumptionLow
DMA-067r3_hybrid_adoptionD-BENCH20350.06share of processed meat volume sold as hybridsscenario assumptionLow
DMA-068r3_hybrid_adoptionD-BENCH20400.1share of processed meat volume sold as hybridsscenario assumptionLow
DMA-069r3_hybrid_adoptionD-BENCH20500.15share of processed meat volume sold as hybridsscenario assumptionLow
DMA-070r3_hybrid_adoptionD-STRETCH20250share of processed meat volume sold as hybridsscenario assumptionLow
DMA-071r3_hybrid_adoptionD-STRETCH20300.05share of processed meat volume sold as hybridsscenario assumptionLow
DMA-072r3_hybrid_adoptionD-STRETCH20350.15share of processed meat volume sold as hybridsscenario assumptionLow
DMA-073r3_hybrid_adoptionD-STRETCH20400.25share of processed meat volume sold as hybridsscenario assumptionLow
DMA-074r3_hybrid_adoptionD-STRETCH20500.35share of processed meat volume sold as hybridsscenario assumptionLow
DMA-075r3_replacementD-DRIFTALL0.1share of meat protein in a hybrid product replaced by plant or fungal proteinSingapore blind test: most tasters preferred about 75% animal; blends with 30 to 50% plant matched meatLow
DMA-076r3_replacementD-BENCHALL0.2share of meat protein in a hybrid product replaced by plant or fungal proteinSingapore blind test: most tasters preferred about 75% animal; blends with 30 to 50% plant matched meatLow
DMA-077r3_replacementD-STRETCHALL0.3share of meat protein in a hybrid product replaced by plant or fungal proteinSingapore blind test: most tasters preferred about 75% animal; blends with 30 to 50% plant matched meatLow
DMA-078r3_net_displacementALLALL0.9meat protein removed per unit of protein replacedassumption: the processor buys less meat; small consumer compensationLow
DMA-079r4_canteen_meals_bnALL20251.0billion factory shift meals a yearour estimate: 4.15 million industrial-park workers x about 300 meal days = 1.2 billion upper bound; some firms pay cashLow
DMA-080r4_canteen_growthALLALL0.02a yearassumption: industrial employment growth; working-age population peaks 2035 to 2040Low
DMA-081r4_school_meals_bnALL20250.8billion school lunches a yearour estimate: Hanoi subsidises 100 to 150 million primary lunches a year; national count of bán trú pupils unknownLow
DMA-082r4_school_growthALLALL0.0a yearassumption: pupil numbers flatLow
DMA-083r4_protein_per_meal_gALLALL20g protein in the protein dish of a mealassumption: no portion standard foundLow
DMA-084r4_canteen_adoptionD-DRIFT20250share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-085r4_canteen_adoptionD-DRIFT20300.002share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-086r4_canteen_adoptionD-DRIFT20350.005share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-087r4_canteen_adoptionD-DRIFT20400.007share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-088r4_canteen_adoptionD-DRIFT20500.01share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-089r4_canteen_adoptionD-BENCH20250share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-090r4_canteen_adoptionD-BENCH20300.01share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-091r4_canteen_adoptionD-BENCH20350.03share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-092r4_canteen_adoptionD-BENCH20400.045share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-093r4_canteen_adoptionD-BENCH20500.06share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-094r4_canteen_adoptionD-STRETCH20250share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-095r4_canteen_adoptionD-STRETCH20300.03share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-096r4_canteen_adoptionD-STRETCH20350.08share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-097r4_canteen_adoptionD-STRETCH20400.11share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-098r4_canteen_adoptionD-STRETCH20500.15share of canteen meal protein supplied by plant or novel proteinscenario assumptionLow
DMA-099r4_school_adoptionD-DRIFT20250share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-100r4_school_adoptionD-DRIFT20300share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-101r4_school_adoptionD-DRIFT20350share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-102r4_school_adoptionD-DRIFT20400.002share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-103r4_school_adoptionD-DRIFT20500.005share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-104r4_school_adoptionD-BENCH20250share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-105r4_school_adoptionD-BENCH20300share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-106r4_school_adoptionD-BENCH20350.005share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-107r4_school_adoptionD-BENCH20400.01share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-108r4_school_adoptionD-BENCH20500.02share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-109r4_school_adoptionD-STRETCH20250share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-110r4_school_adoptionD-STRETCH20300.005share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-111r4_school_adoptionD-STRETCH20350.02share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-112r4_school_adoptionD-STRETCH20400.035share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-113r4_school_adoptionD-STRETCH20500.05share of school lunch protein supplied by plant or novel proteinscenario assumption: later and lower than canteens (basis revised: Decision 3958 sets no animal share; see the notes below)Low
DMA-114r4_net_displacementALLALL0.8meat protein removed per unit of protein suppliedassumption: meal-level substitution; lasting diet effect unmeasured (pooled SMD 0.07 in RCTs with delayed outcomes)Low
DMA-115r5_regular_buyer_shareD-DRIFT20250.001share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-116r5_regular_buyer_shareD-DRIFT20300.003share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-117r5_regular_buyer_shareD-DRIFT20350.005share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-118r5_regular_buyer_shareD-DRIFT20400.007share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-119r5_regular_buyer_shareD-DRIFT20500.01share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-120r5_regular_buyer_shareD-BENCH20250.001share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-121r5_regular_buyer_shareD-BENCH20300.01share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-122r5_regular_buyer_shareD-BENCH20350.02share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-123r5_regular_buyer_shareD-BENCH20400.03share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-124r5_regular_buyer_shareD-BENCH20500.04share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-125r5_regular_buyer_shareD-STRETCH20250.001share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-126r5_regular_buyer_shareD-STRETCH20300.03share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-127r5_regular_buyer_shareD-STRETCH20350.06share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-128r5_regular_buyer_shareD-STRETCH20400.08share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-129r5_regular_buyer_shareD-STRETCH20500.1share of urban residents buying modern analogues at least monthlyscenario assumption; benchmark ceiling 8.6 to 10.4% of households in the UK and Germany at 35 to 100% price premiumsLow
DMA-130r5_kg_product_per_buyerALLALL3kg product a year per regular buyerassumption: about 250 g a monthLow
DMA-131r5_protein_shareALLALL0.15kg protein per kg productdesign target for meat-like analoguesLow
DMA-132r5_net_displacementALLALL0.2meat protein removed per unit of analogue proteinassumption: US scanner panels find displacement indistinguishable from zero; sensitivity 0 to 0.5Low
DMA-133r6_plant_milk_mlALL2025300million litres a yearour estimate: branded soy milk about VND 5,300 billion (2025) at about VND 25,000 per litre, plus nut and oat milksLow
DMA-134r6_growthD-DRIFTALL0.04a yearassumption: Vinasoy soy milk revenue grew 13 to 22% in 2025, partly bought with promotionLow
DMA-135r6_growthD-BENCHALL0.06a yearassumption: Vinasoy soy milk revenue grew 13 to 22% in 2025, partly bought with promotionLow
DMA-136r6_growthD-STRETCHALL0.08a yearassumption: Vinasoy soy milk revenue grew 13 to 22% in 2025, partly bought with promotionLow
DMA-137r6_high_protein_shareD-DRIFT20250.01share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-138r6_high_protein_shareD-DRIFT20300.02share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-139r6_high_protein_shareD-DRIFT20350.03share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-140r6_high_protein_shareD-DRIFT20400.04share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-141r6_high_protein_shareD-DRIFT20500.05share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-142r6_high_protein_shareD-BENCH20250.01share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-143r6_high_protein_shareD-BENCH20300.04share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-144r6_high_protein_shareD-BENCH20350.08share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-145r6_high_protein_shareD-BENCH20400.11share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-146r6_high_protein_shareD-BENCH20500.15share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-147r6_high_protein_shareD-STRETCH20250.01share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-148r6_high_protein_shareD-STRETCH20300.08share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-149r6_high_protein_shareD-STRETCH20350.15share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-150r6_high_protein_shareD-STRETCH20400.2share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-151r6_high_protein_shareD-STRETCH20500.25share of plant milk volume sold as high protein (5 g or more per 100 ml)scenario assumption; Vinamilk high-protein nut milk launched 2024Low
DMA-152r6_added_protein_g_per_lALLALL30g protein added per litre by an isolatelifting 2 g to 5 g per 100 mlLow
DMA-153r7_export_ktD-DRIFT20250kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-154r7_export_ktD-DRIFT20300.5kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-155r7_export_ktD-DRIFT20351kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-156r7_export_ktD-DRIFT20402kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-157r7_export_ktD-DRIFT20503kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-158r7_export_ktD-BENCH20250kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-159r7_export_ktD-BENCH20303kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-160r7_export_ktD-BENCH203510kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-161r7_export_ktD-BENCH204018kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-162r7_export_ktD-BENCH205030kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-163r7_export_ktD-STRETCH20250kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-164r7_export_ktD-STRETCH20308kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-165r7_export_ktD-STRETCH203530kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-166r7_export_ktD-STRETCH204055kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-167r7_export_ktD-STRETCH2050100kt product a year containing domestic or novel proteinscenario assumption: diaspora chay, EU and UK private label, B2B ingredients to Japan and KoreaLow
DMA-168r7_protein_shareALLALL0.25kg protein per kg productassumption: mix of ingredients (about 60%) and finished foods (about 12%); the ingredient part has no revealed base (see the notes below)Low
DMA-169price_per_kg_protein_usdALLALL3.0USD per kg protein deliveredassumption: Chinese TVP about USD 1.9 per kg protein at the border plus freight, duty and margin; fungal and isolate grades higherLow
DMA-170line_output_ktALLALL7kt product a year from a 1 t/h textured-protein lineassumption: about 7,000 operating hoursLow
DMA-171r3_processed_shareSENS-LOWALL0.03sensitivity boundLow
DMA-172r3_processed_shareSENS-HIGHALL0.08sensitivity boundLow
DMA-173r2_keeper_shareSENS-LOWALL0.2sensitivity boundLow
DMA-174r2_keeper_shareSENS-HIGHALL0.5sensitivity boundLow
DMA-175r4_canteen_meals_bnSENS-LOWALL0.6sensitivity boundLow
DMA-176r4_canteen_meals_bnSENS-HIGHALL1.2sensitivity boundLow
DMA-177r4_school_meals_bnSENS-LOWALL0.5sensitivity boundLow
DMA-178r4_school_meals_bnSENS-HIGHALL1.2sensitivity boundLow
DMA-179r3_net_displacementSENS-LOWALL0.7sensitivity boundLow
DMA-180r3_net_displacementSENS-HIGHALL1.0sensitivity boundLow
DMA-181r5_net_displacementSENS-LOWALL0.0sensitivity boundLow
DMA-182r5_net_displacementSENS-HIGHALL0.5sensitivity boundLow
DMA-183r4_net_displacementSENS-LOWALL0.5sensitivity boundLow
DMA-184r4_net_displacementSENS-HIGHALL1.0sensitivity boundLow
DMA-185r2_compensationSENS-LOWALL0.0sensitivity boundLow
DMA-186r2_compensationSENS-HIGHALL0.6sensitivity boundLow
DMA-187r4_protein_per_meal_gSENS-LOWALL15sensitivity boundLow
DMA-188r4_protein_per_meal_gSENS-HIGHALL25sensitivity boundLow
DMA-189r5_kg_product_per_buyerSENS-LOWALL1.5sensitivity boundLow
DMA-190r5_kg_product_per_buyerSENS-HIGHALL6sensitivity boundLow

Sources for the assumptions are listed in the source_ids column of demand_assumptions.csv; the main ones are 1,2,3,4,5,6,7,8,9,10,11,12,13,14,15.

  • DMA-004 (R1 pool). Monthly trade shows no chay season in the 2024 jump in HS 3504 imports, which is priced at less than half China's average for the code. If the post-2023 Chinese increment is not food, food-grade 3504 is about 20% of the 27.0 kt, not 40%, and the pool is about 35 kt of product rather than 40 kt, the lower half of the 30 to 50 kt range 16,17,1 . The textured-type part a soy extrusion line can serve was 12,832 t in 2025 (HS 2106.10 from China, India and Serbia) 18 .
  • DMA-024 (chay keepers). No probability survey asks about chay, but the Diet Quality Questionnaire (Gallup, 1,007 adults, 13 November to 12 December 2021) found 7.9% (5.3 to 11.0%) ate no meat, poultry or fish on the previous day. That is a ceiling for chay-day person-days; the central 2.5% uses about a third of it 19,20,21 .
  • DMA-059 (processed share). National diet surveillance counts processed-meat days (18.1% of adults on a given day) but its item omits giò and chả (pork rolls and loaves) and counts days, not grams, so it cannot test R3 19,20 .
  • DMA-060 to DMA-077 (hybrid adoption and replacement). Cost does not limit R3: soy extension saves 14 to 16% of raw-material cost at 20% replacement at every hog price since 2019 (our calculation) 22,18,23 . Adoption is limited by product identity, sensory ceilings (about 10 to 20% of the meat in fine emulsions, 30% in coarse mince, which is the evidence ceiling for DMA-077) and trust: no Vietnamese brand sells a declared blend, and buyers read hidden extension (độn, filler) as cheating 24,25,26 . D-STRETCH's price-parity condition therefore does not apply to R3; its 15% by 2035 assumes a positive blend frame not yet observed in Vietnam. Processors would mostly extend with imported soy, which enters duty-free, so R3 is plant protein of any origin 27.
  • DMA-083 (protein per dish). Keep 20 g. School caterers' sheets give 85 to 95 g raw meat, 67 to 70 g fish or 80 g tofu per dish, and 31.8 g of protein per lunch including rice (17.5 g animal); factory caterers' main dishes weigh 90 to 120 g 28,29,30 .
  • DMA-099 to DMA-114 (schools and meal displacement). Decision 1340's animal-protein target ended in 2020. MOH Decision 3958/QĐ-BYT (25 December 2025) sets no animal share and asks for plant protein (legumes, tofu) at least twice a week; in 48 audited school-weeks only 9 met that rule, the plant slot was filled with tofu beside meat, and no dish used textured soy 31,32,29 . School protein sold into the plant slot should count as delivered but not displaced (factor 0, like existing chay days); only blends in minced-meat and fish-cake dishes (28.5% of audited days) or added plant days displace meat. The low school adoption values stand.
  • DMA-079 to DMA-098 (canteens). Five caterers' published menus lead with pork (33.1% of protein dishes), fish (25.6%) and chicken (13.4%), with tofu in 8.7% (plant-only 2.9%) and no textured soy 33,34,35,36,30 . The D-BENCH canteen share implies 36.6 million meal-equivalents a year by 2035, far above what diet-change programmes deliver (D7. Global benchmarks).
  • DMA-168 (export protein share). Vietnam's textured-protein exports to the EU, the UK, Japan, Korea and Australia were 0 to 73 t each in 2024 to 2025, the Vietnam-made wrapped plant foods found abroad carry 4 to 5.4 g of protein per 100 g, and the high-protein dry chay exported today is made from imported isolate, which R7 does not count as domestic protein 37,38 . A share of 0.05 to 0.12 is as defensible as 0.25.

D8.3 Results by route and scenario

Protein delivered by domestic or novel protein, kt of protein a year .

ScenarioYearR1 Import substitutionR2 Chay occasionsR3 HybridsR4 InstitutionsR5 AnaloguesR6 Plant milksR7 ExportsTotal delivered
D-DRIFT20250.00.00.00.00.00.10.00.1
D-DRIFT20300.60.20.00.00.10.20.11.3
D-DRIFT20351.90.40.10.10.10.40.23.2
D-DRIFT20403.30.60.10.20.20.60.55.5
D-DRIFT20506.91.00.10.40.31.20.810.7
D-BENCH20250.00.00.00.00.00.10.00.1
D-BENCH20303.50.60.20.20.20.50.85.9
D-BENCH203511.61.60.80.80.41.32.519.1
D-BENCH204020.62.31.41.40.72.44.533.1
D-BENCH205044.63.22.22.31.15.87.566.7
D-STRETCH20250.00.00.00.00.00.10.00.1
D-STRETCH20307.61.20.90.70.61.12.014.1
D-STRETCH203525.33.53.02.31.32.97.545.6
D-STRETCH204042.95.65.13.51.95.713.878.4
D-STRETCH2050106.88.37.65.72.615.425.0171.5

Meat protein displaced, kt of protein a year, and as a share of meat protein demand, against Part IV S-ALT .

ScenarioYearR2 added chay daysR3 HybridsR4 InstitutionsR5 AnaloguesTotal displacedShare of meat proteinS-ALT assumptionExisting chay days (baseline)
D-DRIFT20250.00.00.00.00.00.00%0.025.0
D-DRIFT20300.00.00.00.00.10.01%11.829.1
D-DRIFT20350.00.10.10.00.20.01%39.332.3
D-DRIFT20400.00.10.20.00.30.02%68.633.8
D-DRIFT20500.00.10.30.10.50.04%144.635.7
D-BENCH20250.00.00.00.00.00.00%0.025.0
D-BENCH20300.00.20.20.00.40.04%11.829.1
D-BENCH20350.90.70.60.12.40.18%39.332.3
D-BENCH20401.41.21.10.13.90.28%68.633.8
D-BENCH20502.01.91.80.26.00.41%144.635.7
D-STRETCH20250.00.00.00.00.00.00%0.025.0
D-STRETCH20301.60.80.60.13.10.27%11.829.1
D-STRETCH20354.52.61.80.39.20.71%39.332.3
D-STRETCH20407.14.62.80.414.91.09%68.633.8
D-STRETCH205010.06.84.60.521.91.52%144.635.7

Context and capacity .

ScenarioYearMeat protein demand (kt)Import-substitution pool (kt protein)Processed meat protein (kt)Canteen and school meal protein (kt)Regular analogue buyers (million)Plant milk (million litres)Ingredient product R1 to R4 (kt)1 t/h line equivalentsIngredient value (USD million)
D-DRIFT20301,17931.658.938.10.133651.50.24
D-DRIFT20351,30938.565.540.40.244444.20.610
D-DRIFT20501,44669.372.348.80.5880014.12.032
D-BENCH20301,17934.858.938.10.434017.51.118
D-BENCH20351,30946.665.540.40.9553724.73.557
D-BENCH20501,446111.672.348.82.33128887.212.4200
D-STRETCH20301,17938.258.938.11.3044117.52.542
D-STRETCH20351,30956.165.540.42.8464856.58.1137
D-STRETCH20501,446178.172.348.85.842055214.130.6515

How much is made in Vietnam, D-BENCH 2035 (our calculation from demand_outputs.csv) :

Component, kt of proteinModel readingStrict readingArithmetic
R1 import substitution11.6410.1911.64 x 35 / 40 (food pool of 35 kt of product, not 40 kt)
R2 to R6 (1.60 + 0.79 + 0.81 + 0.43 + 1.29)4.911.2325% of 4.91 (the R1 domestic share applied to protein of any origin)
Made in Vietnam for the home market16.55about 11.4sum
R7 exports2.500.5 to 1.210 kt of product x 0.05 to 0.12 protein, not 0.25
All routes19.05not usedmodel total

So the routes create demand for about 19,000 t of protein a year by 2035, of which about 11,000 to 17,000 t would be made in Vietnam for the home market. Within R3, the domestic part at a 25% domestic share is about 0.20 of 0.79 kt. With R7 at 0.05 to 0.12, the model total would be 17.1 to 17.8 kt.

Soy lines supported. The model's 3.5 line equivalents in 2035 convert all R1 to R4 ingredient product (24.7 kt) at 7 kt per 1 t/h line. For soy extrusion only, the textured-type pool (12,832 t of product in 2025) grows to about 23,000 t by 2035 at 6% a year; a 25% domestic share is about 5,700 t, which is one 1 t/h line or two 0.5 t/h lines. The rest of the R1 pool is gluten and isolates, which need wet-milling or isolate plants (our calculation) 1,18 .

D8.4 What S-ALT 2030 would require from each route alone

To displace S-ALT's 2030 volume (11.8 kt of meat protein) on its own :

RouteRequirementUnit
R3 Hybrids74%of all processed meat reformulated with 30% of its meat replaced
R4 Institutional meals39%of all protein in canteen and school protein dishes
R5 Household analogues131 millionregular buyers (Vietnam's population is about 104 million in 2030)
R2 Added chay days0.43extra meat-free days per person per month, whole population, with 30% compensation

D8.5 Sensitivity

One assumption at a time set to its low and high bound; all else at D-BENCH values; outcome is total meat protein displaced in 2035 (central value 2.35 kt) .

No single assumption closes the gap

Meat protein displaced in D-BENCH 2035, kt, with one assumption at its low and high value

No single assumption closes the gapTornado: the share of people keeping chay days, the share of meat eaten processed and compensation on added chay days move 2035 displacement between about 2.0 and 3.0 kt; every other assumption moves it less.Assumption at its low valueAssumption at its high value1.82.02.22.42.62.83.0Meat protein displaced in D-BENCH 2035, ktShare of people who keep lunar chaydaysShare of people who keep lunar chay days, low value (0.2): 2.04 kt Central: 2.35 kt Model parameter: r2_keeper_share Low value: 0.2; high value: 0.52.04Share of people who keep lunar chay days, high value (0.5): 2.95 kt Central: 2.35 kt Model parameter: r2_keeper_share Low value: 0.2; high value: 0.52.95Share of meat eaten as processed meatproductsShare of meat eaten as processed meat products, low value (0.03): 2.06 kt Central: 2.35 kt Model parameter: r3_processed_share Low value: 0.03; high value: 0.082.06Share of meat eaten as processed meat products, high value (0.08): 2.77 kt Central: 2.35 kt Model parameter: r3_processed_share Low value: 0.03; high value: 0.082.77Compensation: meat not eaten on addedchay days eaten on other daysCompensation: meat not eaten on added chay days eaten on other days, low value (0.0): 2.73 kt Central: 2.35 kt Model parameter: r2_compensation Low value: 0.0; high value: 0.62.73Compensation: meat not eaten on added chay days eaten on other days, high value (0.6): 1.96 kt Central: 2.35 kt Model parameter: r2_compensation Low value: 0.0; high value: 0.61.96Institutions: meat removed per unit ofprotein suppliedInstitutions: meat removed per unit of protein supplied, low value (0.5): 2.1 kt Central: 2.35 kt Model parameter: r4_net_displacement Low value: 0.5; high value: 1.02.1Institutions: meat removed per unit of protein supplied, high value (1.0): 2.51 kt Central: 2.35 kt Model parameter: r4_net_displacement Low value: 0.5; high value: 1.02.51Factory shift meals a year (billion)Factory shift meals a year (billion), low value (0.6): 2.11 kt Central: 2.35 kt Model parameter: r4_canteen_meals_bn Low value: 0.6; high value: 1.22.11Factory shift meals a year (billion), high value (1.2): 2.46 kt Central: 2.35 kt Model parameter: r4_canteen_meals_bn Low value: 0.6; high value: 1.22.46Protein in the protein dish of a meal (g)Protein in the protein dish of a meal (g), low value (15.0): 2.18 kt Central: 2.35 kt Model parameter: r4_protein_per_meal_g Low value: 15.0; high value: 25.02.18Protein in the protein dish of a meal (g), high value (25.0): 2.51 kt Central: 2.35 kt Model parameter: r4_protein_per_meal_g Low value: 15.0; high value: 25.02.51Hybrids: meat removed per unit ofprotein replacedHybrids: meat removed per unit of protein replaced, low value (0.7): 2.19 kt Central: 2.35 kt Model parameter: r3_net_displacement Low value: 0.7; high value: 1.02.19Hybrids: meat removed per unit of protein replaced, high value (1.0): 2.42 kt Central: 2.35 kt Model parameter: r3_net_displacement Low value: 0.7; high value: 1.02.42Household analogues: meat removed perunit of analogue proteinHousehold analogues: meat removed per unit of analogue protein, low value (0.0): 2.26 kt Central: 2.35 kt Model parameter: r5_net_displacement Low value: 0.0; high value: 0.52.26Household analogues: meat removed per unit of analogue protein, high value (0.5): 2.47 kt Central: 2.35 kt Model parameter: r5_net_displacement Low value: 0.0; high value: 0.52.47Product a year per regular buyer (kg)Product a year per regular buyer (kg), low value (1.5): 2.3 kt Central: 2.35 kt Model parameter: r5_kg_product_per_buyer Low value: 1.5; high value: 6.02.3Product a year per regular buyer (kg), high value (6.0): 2.43 kt Central: 2.35 kt Model parameter: r5_kg_product_per_buyer Low value: 1.5; high value: 6.02.43School lunches a year (billion)School lunches a year (billion), low value (0.5): 2.32 kt Central: 2.35 kt Model parameter: r4_school_meals_bn Low value: 0.5; high value: 1.22.32School lunches a year (billion), high value (1.2): 2.38 kt Central: 2.35 kt Model parameter: r4_school_meals_bn Low value: 0.5; high value: 1.22.38D-BENCH 2035: 2.35 ktS-ALT assumes 39.3 kt in 2035, off the scale

One-at-a-time sensitivity.

Nguồn: 2,39,5

Xem số liệuẨn số liệu
No single assumption closes the gap
AssumptionLow valueHigh valueDisplaced at low (kt)Displaced at high (kt)Central (kt)
Share of people who keep lunar chay days (r2_keeper_share)0.20.52.042.952.35
Share of meat eaten as processed meat products (r3_processed_share)0.030.082.062.772.35
Compensation: meat not eaten on added chay days eaten on other days (r2_compensation)0.00.62.731.962.35
Institutions: meat removed per unit of protein supplied (r4_net_displacement)0.51.02.12.512.35
Factory shift meals a year (billion) (r4_canteen_meals_bn)0.61.22.112.462.35
Protein in the protein dish of a meal (g) (r4_protein_per_meal_g)15.025.02.182.512.35
Hybrids: meat removed per unit of protein replaced (r3_net_displacement)0.71.02.192.422.35
Household analogues: meat removed per unit of analogue protein (r5_net_displacement)0.00.52.262.472.35
Product a year per regular buyer (kg) (r5_kg_product_per_buyer)1.56.02.32.432.35
School lunches a year (billion) (r4_school_meals_bn)0.51.22.322.382.35
AssumptionLow valueHigh valueDisplaced at low (kt)Displaced at high (kt)Largest change (kt)
r2_keeper_share0.20.52.042.950.6
r3_processed_share0.030.082.062.770.42
r2_compensation0.00.62.731.960.39
r4_net_displacement0.51.02.12.510.24
r4_canteen_meals_bn0.61.22.112.460.23
r3_net_displacement0.71.02.192.420.16
r4_protein_per_meal_g15.025.02.182.510.16
r5_net_displacement0.00.52.262.470.13
r5_kg_product_per_buyer1.56.02.32.430.09
r4_school_meals_bn0.51.22.322.380.03

No single assumption moves the 2035 D-BENCH result by more than about 0.6 kt, against an S-ALT assumption of 39.3 kt for 2035. The conclusion that the food side of S-ALT is a stretch above every documented route does not depend on any one assumption.

Corrections outside the model (D-BENCH 2035; our calculation, not run through tools/demand_model.py) :

CorrectionBasisProtein delivered (kt)Meat protein displaced (kt)
None (model central values)as published19.052.35
Food pool of 35 kt of product (DMA-004)monthly trade, D8.2 notes17.60 (R1 10.19)2.35
Export protein share 0.05 to 0.12 (DMA-168)wrapped plant foods abroad17.1 to 17.8 (R7 0.5 to 1.2)2.35
School plant-slot protein not displacing (DMA-114 for schools set to 0)Decision 3958 and the menu audit19.05about 2.29 (R4 0.65 to about 0.58)

None changes the headline: displacement stays at about 0.2% of meat protein, and delivered protein stays in the 17 to 19 kt range.

D8.6 Limits

  • The three most influential inputs are unmeasured in Vietnam: the share of people keeping chay days, the share of meat eaten as processed products and protein per canteen meal (Demand to frontier lists the cheap ways to measure them).
  • Displacement factors come from studies outside Vietnam; Vietnamese compensation on added chay days is unknown.
  • The model has no prices or elasticities inside it; scenarios encode price conditions through adoption shares. For hybrids, price is not the binding condition (D8.2 notes).
  • R2 to R6 count protein of any origin, and only R1 applies a domestic share; D8.3 gives the domestic reading.
  • One displacement factor (0.8) covers canteens and schools; school protein sold into the plant slot replaces tofu, not meat (D8.5).
  • Funder units (D8.7) are computed outside the model and do not move with the assumptions.
  • Feed demand for novel protein is not modelled here; it is in the balance model (F4. Balance model).

D8.7 Funder units: animals spared, CO2e avoided and meals

Welfare, climate and market-shaping funders count animals, tonnes of CO2e and meals, not tonnes of meat protein. We converted the model's D-BENCH and D-STRETCH outputs for 2030, 2035 and 2050 with a standard-library script (working-papers/wave7/lines/L3-funder-units/calc_funder_units.py), which writes demand_funder_units.csv and impact_per_tonne.csv .

Method.

  • Species split. Added chay days (R2), canteens and schools (R4) and household analogues (R5) take the national consumption mix of the Part IV S-BASE path. Hybrids (R3) take our assumption of 75% pork, 15% poultry and 10% ruminant, informed by the Vissan label audit (pork first-listed in 50 of 80 non-chay products, beef in 18; SKU counts, not volumes) 23.
  • Animals. Displaced protein / 0.15 kg protein per kg carcass = carcass displaced; carcass / FAOSTAT carcass weight per animal for Viet Nam, 2022 to 2024. Counts are slaughter avoided per year, including animals raised abroad for imported meat; they are not welfare-weighted.
  • CO2e. Gross = carcass displaced x GLEAM life-cycle intensity for East and Southeast Asia, humid zone (reference year 2005). Net = gross minus the replacing protein at 8.36 kg CO2e per kg protein (a pulses proxy). The high bound uses per-protein means from Poore and Nemecek where they exceed GLEAM's upper values.
  • Meals. A meal-equivalent is one protein dish of 20 g of protein supplied by plant or novel protein instead of meat (DMA-083).
  • Canteen meat mix. We read five caterers' published menus: of meat-led protein dishes, 62.6% are pork, 26.4% poultry and 11.0% beef. At that mix a tonne of protein through canteens spares about 745 animals (51 pigs, 691 birds, 4 cattle and buffalo) rather than about 1,090 at the national mix 33,30,40 . We report the two as a range.

Conversion factors 40,41,42,43,44,45:

FactorValueRangeUnitBasisEvidence
Protein per kg carcass0.15n/akg protein per kg carcassPackage factor (DMA-001); GLEAM implies 0.118 (pig) and 0.139 (chicken), which would raise head counts and CO2e by 15 to 27%
Carcass per pig6665 to 67kg per headFAOSTAT, Viet Nam, 2022 to 2024
Carcass per chicken2.11.83 to 2.36kg per headFAOSTAT 2022 to 2024 (volatile series)
Carcass per duck1.21.2 to 1.34kg per headFAOSTAT 2022 to 2024
Carcass per head of cattle148140 to 148kg per headFAOSTAT 2022 to 2024; imported beef comes from heavier animals, so ruminant counts are upper bounds
Carcass per buffalo196171 to 196kg per headFAOSTAT 2022 to 2024
Chicken share of poultry meat0.884n/ashare of carcassFAOSTAT 2024 production
Cattle share of ruminant meat0.797n/ashare of carcassFAOSTAT 2024 production
National meat mix, 2030; 2035; 2050pork 57.4, poultry 33.9, ruminant 8.7; 53.6, 37.9, 8.5; 51.6, 39.1, 9.2n/a% of carcassBalance model S-BASE
Processed meat mix (R3)pork 75, poultry 15, ruminant 10n/a% of carcassOur assumption; the ruminant share drives R3 CO2e
Pork emission intensity6.155.37 to 7.94kg CO2e per kg carcassGLEAM, East and Southeast Asia, industrial, humid zone
Poultry emission intensity5.184.19 to 6.84kg CO2e per kg carcassGLEAM broilers; ducks assumed equal
Ruminant emission intensity54.540.1 to 81.0kg CO2e per kg carcassGLEAM mixed beef
Meat per protein, high boundpig 76.1; poultry 57.0; beef herd 498.9n/akg CO2e per kg proteinPoore and Nemecek global means
Replacing protein (textured soy)8.361.31 to 19.75kg CO2e per kg proteinPulses proxy; low: feed-grade soy concentrate; high: tofu
Replacing protein (fungal, sensitivity)11.73.8 to 38.4kg CO2e per kg proteinPackage estimate for cassava-based fungal protein on the 2023 grid; mycoprotein literature
Protein per canteen dish2015 to 25gDMA-083, DMA-187, DMA-188
Canteen net displacement0.80.5 to 1.0kg meat protein per kg protein suppliedDMA-114, DMA-183, DMA-184
Import unit value, plant protein1.10.9 to 1.3USD per kg productChinese shipments to Vietnam, 2019 to 2025

Results, displacing routes R2 to R5 (our calculation) :

ScenarioYearAnimals spared, million (caterer to national mix)Chickens and ducks, sharePigs (national mix)Net CO2e avoided, kt (range)Canteen and school meal-equivalents, millionR1 imports replaced, USD million (gross)
D-BENCH20300.34 to 0.3991 to 92%28,59824 (11 to 47)11.0 and 0.04.8 to 7.0
D-BENCH20352.38 to 2.6693 to 94%142,271139 (78 to 250)36.6 and 4.016.1 to 23.3
D-BENCH20505.98 to 6.8593 to 94%358,384363 (204 to 652)98.4 and 16.061.8 to 89.3
D-STRETCH20303.18 to 3.3693 to 94%196,133188 (109 to 337)33.1 and 4.010.6 to 15.3
D-STRETCH20359.80 to 10.5994%557,803553 (326 to 986)97.5 and 16.035.0 to 50.5
D-STRETCH205023.13 to 25.3194%1,304,5131,351 (803 to 2,388)246.1 and 40.0147.9 to 213.7

The national-mix values and their carcass-yield ranges are in demand_funder_units.csv; the caterer-mix values replace R4's national-mix animals with 931 animals per tonne of meat protein displaced (745 / 0.8). Precision is arithmetic, not accuracy. Import substitution (R1) spares no animals and avoids about no CO2e, because soy protein replaces soy protein; its value is the import bill. On D-BENCH in 2035, by route: added chay days spare about 1.2 million birds, 49,000 pigs and 56 kt CO2e; hybrids 366,000 birds, 54,000 pigs and 45 kt; canteens and schools 0.60 to 0.89 million animals and 36 kt; household analogues about 116,000 animals and 2 kt.

Per tonne of protein delivered, 2035 (impact_per_tonne.csv; our calculation) :

Route (profiles)What the protein replacesMeat protein displaced (t)PigsPoultryCattle and buffaloNet t CO2e (soy replacement)Net t CO2e (fungal replacement)
R1 import substitution (TPP-01)Imported textured soy and gluten0000about 0sign unknown
R2 upgrades on existing chay days (TPP-02)Lower-protein chay foods0000minus 8.4minus 11.7
R3 hybrids (TPP-03, TPP-06)Meat in processed products0.9684663.956.753.3
R4 canteens, national dish mix (TPP-04)Meat in protein dishes0.8431,0462.944.541.1
R4 canteens, caterer meat mixMeat in protein dishes0.8516914about 51not computed
R4 canteens, pork dishA pork dish0.8810024.421.1
R4 canteens, chicken dishA chicken dish0.802,760019.315.9
R5 household analoguesMostly nothing0.2112610.74.81.5
R6 plant-milk protein (TPP-05)Nothing measured0000minus 8.4minus 11.7

Negative values mean the delivered protein adds emissions because it removes no meat. The R3 CO2e figure rests on the 10% ruminant assumption; at 0% ruminant it would be about 28 t.

Per meal. At 20 g of protein and 0.8 net displacement, a canteen meal shifted spares about 0.015 animals at the caterer meat mix (0.010 to 0.029 across five caterers), about 0.020 at the national mix, 0.0016 for a pork dish and 0.055 for a chicken dish, against about 0.134 in ACE's estimate for Sinergia Animal's programme 46 (D7. Global benchmarks). Upland school lunches and dinners, 84% pork-led among meat-led meals, give about 0.009.

Limits of the conversion. Everything inherits the demand model's Low confidence. Species mixes are assumptions; GLEAM intensities refer to 2005 and no Vietnamese cradle-to-carcass LCA was found 47. The package's 0.15 kg protein per kg carcass and its poultry carcass basis could each shift head counts by 15 to 25%. Fish and eggs are not counted, so R2's animal count is a floor; fish leads 26% of canteen protein dishes. Head counts are not welfare-weighted.

Related: Demand sizing, F4. Balance model, D7. Global benchmarks.

Nguồn được trích dẫn trong trang

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