DataNew in edition 1.1
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.
Columns
| Column | Meaning |
|---|---|
record_id | Stable row ID assigned by the consolidation step (prefix BLO plus row number in the stream's row order). |
scenario | S-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). |
year | Model year (2025 calibration year, then 2030, 2035, 2040, 2050). |
indicator | Model output name (for example feed_total_mt, sbm_import_need_mt); unit says what it measures. |
value | Model result, rounded (one decimal at 100 or more, three decimals at 1 or more, four below 1). |
unit | Unit of the value. |
foresight_type | calibration (2025 base) for 2025; estimate for 2030 to 2050. |
evidence_label | VN-direct (evidence about Vietnam), VN-adjacent (comparable country, transfer assumed) or general. Some rows give a label per part of the row. |
confidence | High (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_ids | QNT model (assumptions.csv): our calculation from balance_assumptions.csv. |
notes | Free-text notes from the research agent. |
| record_id | scenario | year | indicator | value | unit | foresight_type | evidence_label | confidence | source_ids | notes |
|---|