CHARACTERISTICS OF THE DECLINING U.S. AGRICULTURAL TRADE SURPLUS
Bibliographic record
Abstract
The U.S. agricultural trade surplus has fallen from $26.9 billion in 1996 to $7.3 billion in 2004, and it is shrinking even further in 2005. The objective of this paper is to examine the characteristics of the decreasing agricultural trade surplus and determine the factors causing this decline. U.S. imports from Canada and Mexico have more than doubled under NAFTA, and imports from non-NAFTA countries have also increased considerably. Most increases in imports are consumer-ready and horticultural products. U.S. exports to Canada and Mexico have also been increasing steadily, but exports to other important markets have been stagnant or declining. Much of the declining trade surplus can be accounted for by trade with the European Union. Results from an econometric analysis indicate that an increase in disposable income and free trade agreements have contributed significantly to the increase in U.S. imports of consumer-oriented products. U.S. exports are found to be significantly influenced by per capita income and free trade agreements. Moreover, a strong U.S. dollar is found to have had a negative impact on the value of exports of consumer-oriented products, but not bulk or intermediate products. Results show that exports of bulk and intermediate products have been trending downward while exports of consumer-oriented products and imports of intermediate and consumer-oriented products have been trending upward.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".