MEASURING THE ECONOMIC IMPACT OF SSB TAXES IN BRAZIL- AN INPUT-OUTPUT ANALYSIS
Author(s)
Balbinotto G, Cardoso L
Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
OBJECTIVES: To contribute to this discussion on taxation of sugar sweetened beverages and its impact, this study aims to evaluate the macroeconomic and sectorial effects of this policy in Brazil. METHODS: We used the traditional input-output price model. The analysis considers an increase of 10% in the cost of production of soft drinks and sugary drinks due to a tax increase. We used the traditional input-output price model. RESULTS: The results of the indices show that the sugary drinks sector is weak intersectoral relations and will not appear as a key sector for the Brazilian economy. Considering these connections, simulating a tax increase of 10% on the production of sugary drinks shows a reduction of R$ 35 billion or 2.1% in spending on household consumption. This change, however, does not differ significantly between the deciles of income and reaches the highest value in the decision median (2.3% of total expenditure). The estimates point to a positive result for the total economy of 2.1%. In the case of soft drinks sector fell by 6.8%, with direct effects on some sectors suppliers of inputs and services such as rubber and plastic (-4.4%), trade (-2.2%), transportation, storage and mail (-3.2%), and indirect checked the producers of means of transport sectors (eg, -8.8% in the production of bus and truck). This regressive effect is offset by increased production in other sectors, especially food and other beverages (6.6% and 4.4%, respectively). CONCLUSIONS: This analysis shows that SSB tax generates different results from that commonly defended by the opponents of this policy, with little reduction in aggregate consumption, a reduction in SSB consumption specially in middle-income households and a positive balance of employment and production. Additionally, the increase in government revenue can be used in prevention of obesity policies.
Conference/Value in Health Info
2016-05, ISPOR 2016, Washington DC, USA
Value in Health, Vol. 19, No. 3 (May 2016)
Code
PRM172
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Diabetes/Endocrine/Metabolic Disorders