Watered down: a cross-case political economy analysis of sugar-sweetened beverage taxes in Vanuatu and Fiji
Bibliographic record
Abstract
Taxes on sugar-sweetened beverages (SSBs) in Vanuatu and Fiji are praised for their alignment with the World Health Organization's noncommunicable diseases Best Buy policy recommendations. SSB taxes also intersect with economic, trade and commercial interests as well as complex domestic and international power dynamics. Yet, to date, the role of these broader interests and power dynamics in shaping SSB tax adoption in Vanuatu and Fiji has remained underexamined. Drawing on Bourdieu's forms of capital and triangulating interview (n = 50), document (n = 461) and observational data, this cross-case political economy analysis sought to understand where forms of power reside, how they manifest, and what impact they have on the alignment between SSB tax in Vanuatu and Fiji and national and global goals and priorities. Three interconnected themes emerged from the analysis: the influence of domestic industry actors in a context of shifting fiscal and trade incentives; the pivotal agenda-setting role of pro-tax multisectoral coalitions and the way political instability lent importance to informal policy processes. Findings evidence the varying influence of economic, social, and cultural capitals across the policy cycle and showcase the way in which actors strategically deployed, lost or re-imagined their capitals to secure policy influence. Importantly, cultural capital was essential to leveraging influence across the policy cycle and more inward-facing systems favoured the protection of domestic actors and industries, including their economic capital. From a health perspective, these political forces ultimately culminated in weaker or 'watered down' SSB taxes in both Vanuatu and Fiji.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".