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Health Policy. 2017 Jun;121(6):715-725. doi: 10.1016/j.healthpol.2017.04.001. Epub 2017 Apr 7.

The impact on productivity of a hypothetical tax on sugar-sweetened beverages.

Author information

1
Faculty of Business, Economics and Law, The University of Queensland, Brisbane, Queensland 4072, Australia. Electronic address: takeshi.nomaguchi@uq.net.au.
2
Faculty of Pharmacy, Charles Perkins Centre, The University of Sydney, Camperdown, New South Wales 2006, Australia.
3
School of Public Health, The University of Queensland, Brisbane, Queensland 4006, Australia.
4
Cancer Council NSW, 2011, Australia; School of Public Health, The University of Queensland, Brisbane, Queensland 4006, Australia.

Abstract

OBJECTIVES:

To quantify the potential impact of an additional 20% tax on sugar-sweetened beverages (SSBs) on productivity in Australia.

METHODS:

We used a multi-state lifetable Markov model to examine the potential impact of an additional 20% tax on SSBs on total lifetime productivity in the paid and unpaid sectors of the economy. The study population consisted of Australians aged 20 years or older in 2010, whose health and other relevant outcomes were modelled over their remaining lifetime.

RESULTS:

The SSBs tax was estimated to reduce the number of people with obesity by 1.96% of the entire population (437,000 fewer persons with obesity), and reduce the number of employees with obesity by 317,000 persons. These effects translated into productivity gains in the paid sector of AU$751 million for the working-age population (95% confidence interval: AU$565 million to AU$954 million), using the human capital approach. In the unpaid sector, the potential productivity gains amounted to AU$1172 million (AU$929 million to AU$1435 million) using the replacement cost method. These productivity benefits are in addition to the health benefits of 35,000 life years gained and a reduction in healthcare costs of AU$425 million.

CONCLUSIONS:

An additional 20% tax on SSBs not only improves health outcomes and reduces healthcare costs, but provides productivity gains in both the paid and unpaid sectors of the economy.

KEYWORDS:

Health policy; Markov model; Obesity; Productivity; Taxes

PMID:
28420538
DOI:
10.1016/j.healthpol.2017.04.001
[Indexed for MEDLINE]

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