The rise of financial investment and common ownership in global agrifood firms
Bibliographic record
Abstract
Financial investment in the food and agriculture sector has grown in recent decades, including investment in equity-related funds that invest in or track the performance of a range of publicly traded transnational agrifood companies. At their height in recent years, equity-related investment funds accounted for around one third of financial investment in the sector. Despite their significance, investment in the agrifood sector via these types of investment funds has received much less academic and policy attention than other types of financial investment, such as farmland acquisition and commodity speculation. This paper examines the rise of equity-related investment in the agricultural sector and analyzes its implications for the food system. It provides an overview and analysis of the available data on these investment vehicles, including their holdings (i.e. the companies in which they invest) and ownership (i.e. the investors who own shares in those companies). This data shows a rise in common ownership of large agrifood firms by large asset management companies. The paper makes the case that this new pattern of investment in agrifood firms by large asset management firms has the potential to contribute to the already concentrated market power in the agrifood system.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".