Untapped Fossil Fuel and the Green Paradox: A classroom calibration of the optimal carbon tax
Frederick (Rick) van der Ploeg ()
No OxCarre Research Paper 119, Economics Series Working Papers from University of Oxford, Department of Economics
A classroom model of global warming, fossil fuel depletion and the optimal carbon tax is formulated and calibrated. It features iso-elastic fossil fuel demand, stock-dependent fossil fuel extraction costs, an exogenous interest rate and no decay of the atmospheric stock of carbon. The optimal carbon tax reduces emissions from burning fossil fuel, both in the short and medium run. Furthermore, it brings forward the date that renewables take over from fossil fuel and encourages the market to keep more fossil fuel locked up. A renewables subsidy induces faster fossil fuel extraction and thus accelerates global warming during the fossil fuel phase, but brings forward the carbon-free era, locks up more fossil fuel reserves and thus ultimately curbs cumulative carbon emissions and global warming. For relatively large subsidies social welfare is more likely to fall as the economic costs rises more than proportionally with the size of the subsidy. Our calibration suggests that such subsidies are not a good second-best climate policy.
Keywords: global warming; social cost of carbon; optimal cabon tax; renewables (search for similar items in EconPapers)
JEL-codes: D81 H20 Q31 Q38 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ene, nep-env and nep-res
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: /RePEc:oxf:wpaper:oxcarre-research-paper-119
Access Statistics for this paper
More papers in Economics Series Working Papers from University of Oxford, Department of Economics
Contact information at EDIRC.
Series data maintained by Caroline Wise ().