Influences of RMB Real Effective Exchange Rate Changes on China's Agricultural Exports Provincial Regional Structure
Bibliographic record
Abstract
Based on the calculation of in RMB real effective exchange rate the agricultural product export of our country,this paper uses data of the third quarter of 2005 to the fourth quarter of 2011 as a research sample and establishes a model to analyze the influence of RMB real effective exchange rate on China's exports of agricultural products regional structure. The empirical results show that RMB real effective exchange rate has different effects on China's main agricultural product export provinces. If there is 1% appreciation of RMB,the agriculture product export of Shandong,Guangdong,Fujian,Zhejiang and Jiangsu will then respectively decrease 1. 37%, 2. 26%,3. 07%,0. 68% and 1. 64%. At the same time,the agriculture products export of Liaoning province and Beijing will increase respectively 0. 2% and 2. 35%. However,RMB real effective exchange rate has no significant effect on the agricultural exports of Shanghai.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".