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balance_outputs.csv

Results of the QNT balance model for 2025 to 2050 by scenario: demand (macro input), production, feed, soybean meal, maize, fishmeal, land abroad and the alternative-protein volumes in S-ALT. Our estimates, not forecasts. Regenerate with tools/balance_model.py.

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record_idStable row ID assigned by the consolidation step (prefix BLO plus row number in the stream's row order).
scenarioS-BASE (baseline), S-HIGH (higher income-driven demand, official aquaculture path), S-EFF (faster feed-efficiency gains, lower soybean-meal inclusion) or S-ALT (S-BASE plus alternative-protein substitution in food and feed).
yearModel year (2025 calibration year, then 2030, 2035, 2040, 2050).
indicatorModel output name (for example feed_total_mt, sbm_import_need_mt); unit says what it measures.
valueModel result, rounded (one decimal at 100 or more, three decimals at 1 or more, four below 1).
unitUnit of the value.
foresight_typecalibration (2025 base) for 2025; estimate for 2030 to 2050.
evidence_labelVN-direct (evidence about Vietnam), VN-adjacent (comparable country, transfer assumed) or general. Some rows give a label per part of the row.
confidenceHigh (primary source read), Medium (reputable secondary or primary read in part) or Low (single claim, press, company marketing, or derived by us from weak inputs).
source_idsQNT model (assumptions.csv): our calculation from balance_assumptions.csv.
notesFree-text notes from the research agent.

record_idscenarioyearindicatorvalueunitforesight_typeevidence_labelconfidencesource_idsnotes