Elizabeth Brouwer

The consequences of tobacco tax on household health and finances in rich and poor smokers in China: an extended cost-effectiveness analysis

BACKGROUND In China, there are more than 300 million male smokers. Tobacco taxation reduces smoking-related premature deaths and increases government revenues, but has been criticised for disproportionately affecting poorer people. We assess the distributional consequences (across different wealth quintiles) of a specific excise tax on cigarettes in China in terms of both financial and health outcomes. METHODS We use extended cost-effectiveness analysis methods to estimate, across income quintiles, the health benefits (years of life gained), the additional tax revenues raised, the net financial consequences for households, and the financial risk protection provided to households, that would be caused by a 50% increase in tobacco price through excise tax fully passed onto tobacco consumers. For our modelling analysis, we used plausible values for key parameters, including an average price elasticity of demand for tobacco of -0·38, which is assumed to vary from -0·64 in the poorest quintile to -0·12 in the richest, and we considered only the male population, which constitutes the overwhelming majority of smokers in China. FINDINGS Our modelling analysis showed that a 50% increase in tobacco price through excise tax would lead to 231 million years of life gained (95% uncertainty range 194-268 million) over 50 years (a third of which would be gained in the lowest income quintile), a gain of US

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703 billion (

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616-781 billion) of additional tax revenues from the excise tax (14% of which would come from the lowest income quintile, compared with 24% from the highest income quintile). The excise tax would increase overall household expenditures on tobacco by

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376 billion (

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232-505 billion), but decrease these expenditures by

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21 billion (-

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83 to

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5 billion) in the lowest income quintile, and would reduce expenditures on tobacco-related disease by

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24·0 billion (

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17·3-26·3 billion, 28% of which would benefit the lowest income quintile). Finally, it would provide financial risk protection worth