Taxing mechanisms on salty foods: investigation of effectiveness through price elasticity and cross price elasticity of demand
Bibliographic record
Abstract
BACKGROUND: Salt consumption control strategies can help to decrease hypertension and related cardiovascular diseases. Taxation mechanisms help to reduce the utilization of harmful commodities like salts. This study aims to analyze the impact of taxing salty foods on salt intake in Iran by examining the price elasticity of demand (PED) and cross-price elasticity of demand (XED) for salty foods. METHODS: This study used 38,328 household-level data from the 2019 Iranian Household Income and Expenditures Survey. This PED and XED for salty foods were calculated, and changes in household salt consumption due to salt taxation were estimated using a mathematical simulation method. RESULTS: The findings revealed that the PEDs for noodles and pilaffs (- 4.89) and bread (- 2.03) are higher than that for other commodities. Noodles and salt (- 4.55) and breads and salt (- 1.61) exhibited the highest XED. Following 20% taxation, total salt intake is projected to increase by approximately 125 g per month. CONCLUSION: Taxing mechanisms are ineffective in reducing the consumption of salty foods. Instead of reducing salt intake, households tend to shift to lower-quality, cheaper salty foods after the tax are implemented. However, these mechanisms can be used for increasing the government revenue.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".