Toxic trade: the impact of preferential trade agreements on alcohol imports from Australia in partner countries
Bibliographic record
Abstract
BACKGROUND AND AIMS: Trade liberalization is hypothesized to increase the availability of imported alcoholic beverages in importing countries. This study provides the first longitudinal analysis of the impact of preferential trade agreements (PTAs) on alcohol imports. DESIGN: Panel data comprising alcohol-product (n = 15) by importing country (n = 16) observations from 1988 to 2016 constructed from global databases. The relationship between PTA status, tariff level and alcohol imports were assessed using a log-linear model. Unobserved heterogeneity was addressed through a combination of differencing and product-year fixed-effects. SETTING: Australia and its 16 free trade partners (PTA year in parentheses), classified by low [< 50%: Brunei (2010), Cambodia (2010), Indonesia (2010), Malaysia (2010, 2013), Myanmar (2010), Thailand (2003, 2010) and Vietnam (2010)] and high (> 50%: Chile (2009), China (2015), Japan (2015), Korea (2014), Laos (2010), New Zealand (1983, 2010), Philippines (2010), Singapore (2003, 2010) and United States (2005)] percentage of alcohol consumers in the population. MEASUREMENTS: Independent variables were the existence of a PTA with Australia and tariff (border tax) rate on Australian products. Outcomes were (log) Australian imports; and a binary indicator of any imports from Australia. FINDINGS: Introducing a PTA has been associated with a statistically significant increase in the share of Australian alcoholic beverage imports in its partner country's total alcoholic beverage import supply, mainly from trade in new alcoholic beverage categories (0.067, P < 0.05). Tariff rate reductions have been associated with increased imports in both low and high consumption country groups; however, the effect has been larger in low consumption countries (-0.189, P < 0.01 compared with -0.016, P < 0.05). The impact of PTA adoption was significant in low consumption countries only (1.141, P < 0.05). CONCLUSIONS: Preferential trade agreements involving Australia have been positively associated with alcohol imports from Australia in countries with low rates of alcohol consumption, due primarily to trade in new products.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".