The effect of input-trade liberalization on nonfarm and farm labour participation in rural Vietnam
Bibliographic record
Abstract
This paper examines the impact of the trade liberalization of chemical fertilisers on the allocation of labour between nonfarm and farm sectors in rural Vietnam during the period 1993-1998. To do that, we use a panel dataset controlling for fixed effects and instrumenting the volume of chemical fertilisers and the exogenous change in fertilisers’ prices is exploited. The study shows that a higher volume of chemical fertilisers reduces the employment of rural households in the nonfarm sector and increases labour participation in farm activities. A larger use of chemical fertilisers would also generate other complementary effects such as a higher demand for organic fertilisers, increased on-farm hired labour, a bigger cultivated area with chemical fertilisers and a larger number of crops grown with chemical fertilisers. Also, we find that a larger use of chemical fertilisers creates larger incentives for on-farm family labour for small landholders compared to those with larger agricultural land, and that the magnitude of the effects is relatively larger for new farmers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".