Optimal Fuel Taxation With Suboptimal Health Choices
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Modelling captures the premise that, with food and transport choices, the low-carbon option makes people healthier because it incentives them to eat a healthier diet and exercise more.
“modelling captures the premise that, with food and transport choices, the low-carbon option makes people healthier because it incentives them to eat a healthier diet and exercise more 77,78”
From Demand-side solutions to climate change mitigation consistent with high levels of well-being (2022) · cites this paper as [78]
- Authors
- Sulikova, S., van den Bijgaart, I., Klenert, D., & Mattauch, L.
- Affiliations
- European Commission (BE)
- University of Oxford (GB)
- Venue
- SSRN Electronic Journal
- Publisher
- Elsevier BV
- Published
- 2020
- ISSN
- 1556-5068 (ISSN-L)
- OpenAlex
- W3094368905
- Cited by
- 1
- References
- 0
- Citations by year
- 2021: 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Locations
- SSRN Electronic Journal (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Gothenburg University Publications Electronic Archive (Gothenburg University) (submittedVersion)
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, and Transportation Policies
- Social Sciences › Transportation › Transportation Planning and Optimization
- Social Sciences › Transportation › Urban Transport and Accessibility
- Keywords
- fuel tax, active travel, physical activity, health benefits, transport externalities, optimal taxation, second-best taxation, fuel price elasticity, cycling, walking, car use, public health policy, CO2 emissions, air pollution
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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