AI summary · arXiv: 1810.07243v1 · econ.TH

Optimal policy design for the sugar tax

Kelly Geyskens, Alexander Grigoriev, Niels Holtrop, Anastasia Nedelko
Original paper Submitted to arXiv on 16 Oct. 2018 License: NONEXCLUSIVE-DISTRIB 1.0

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The essentials

  • Authors discuss the use of sugar taxes as a tool for promoting healthy nutrition and increasing social welfare
  • Focus on determining the optimal sugar tax rate that maximizes social welfare
  • Model the problem as a sequential game represented by a three-level mathematical program
  • Government decides on the tax rate, producers make decisions on product pricing, and consumers determine preferences towards different products
  • Solving this problem is computationally challenging but polynomially solvable when considering a market with few product types and heterogeneous consumers
  • Present a simple and intuitive framework for computing the optimal sugar tax in such a market
  • Use real data from local markets to illustrate their algorithm and draw specific conclusions
  • Soft drinks are categorized as regular or no-sugar drinks (e.g., Coca-Cola and Coca-Cola Zero)
  • Provides insights into designing effective policies for regulating sugar consumption through taxation to promote healthier nutrition choices and improve overall societal well-being.

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AI-generated keywords: Sugar Tax Optimal Policy Social Welfare Mathematical Program Real Data

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In the article "Optimal policy design for the sugar tax," authors Kelly Geyskens, Alexander Grigoriev, Niels Holtrop, and Anastasia Nedelko discuss the use of sugar taxes as a tool for promoting healthy nutrition and increasing social welfare. They focus on the problem of determining the optimal sugar tax rate that maximizes social welfare. The authors model this problem as a sequential game represented by a three-level mathematical program. At the upper level, the government is responsible for deciding on the tax rate. On the middle level, producers make decisions regarding product pricing. Finally, on the lower level, consumers determine their preferences towards different products. While solving this general problem is computationally challenging, the authors show that it is polynomially solvable when considering a market with only a few product types and an arbitrary number of heterogeneous consumers. The authors present a simple and intuitive framework for computing the optimal sugar tax in such a market. They illustrate their algorithm using real data from local markets to draw conclusions specific to those areas. This approach reflects reality since soft drinks are typically categorized as either regular or no-sugar drinks (e.g., Coca-Cola and Coca-Cola Zero). Overall, this article provides valuable insights into designing effective policies for regulating sugar consumption through taxation which can promote healthier nutrition choices while improving overall societal well-being by optimizing sugar tax rates based on social welfare considerations.

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