Abstract
© 2021Climate policies can be applied either upstream, where fossil fuels are extracted, or downstream, where emissions are generated. Specific policy instruments can be defined for either level, and can take the form of a price signal such as through a tax, or a quantity limit such as through direct regulation or a permit market. In this study, we present an agent-based model to compare the performance of these different instruments and regulation levels. Since policy coverage is often limited, i.e. not all firms being under the regulator's control, we also examine the impact of incomplete coverage on relative policy performance. Our analysis shows that only upstream regulation leads to an increase in fossil fuel prices, which is benefitial under limited coverage as it also affects firms not directly affected by the policy instruments; that prices under quantity-based regulation can decline after an initial peak, stabilizing at a lower level than under the tax; and that direct regulation is more efficient when applied upstream.
Original language | English |
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Article number | 121060 |
Pages (from-to) | 1-14 |
Number of pages | 14 |
Journal | Technological Forecasting and Social Change |
Volume | 172 |
Early online date | 5 Aug 2021 |
DOIs | |
Publication status | Published - Nov 2021 |
Funding
This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 741087). I.S. acknowledges financial support from the Russian Science Foundation (RSF grant number 19-18-00262). This study has received funding through an ERC Advanced Grant from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 741087 ). I.S. acknowledges financial support from the Russian Science Foundation (RSF grant number 19-18-00262 ).
Funders | Funder number |
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Horizon 2020 Framework Programme | |
European Research Council | |
Russian Science Foundation | 19-18-00262 |
Horizon 2020 | 741087 |