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The fossil episode

Author

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  • Hassler, John
  • Sinn, Hans-Werner

Abstract

Agriculture sector output (biocarbon) is a good substitute for oil in energy production but oil cannot be used as food. This one-way substitutability is analyzed in a dynamic general equilibrium model. It features three endogenous phases: a pure fossil, a mixed fossil and biocarbon and an absorbing biocarbon fuel only phase. In the latter two, the demand for biocarbon as fuel leads to increasing food prices. Depending on how easily capital and labor can reallocate, food prices increase by between 40% and 240%. The model is also used to analyze climate consequences of biocarbon fuel polices and of the shale revolution. (C) 2016 Elsevier B.V. All rights reserved.

Suggested Citation

  • Hassler, John & Sinn, Hans-Werner, 2016. "The fossil episode," Munich Reprints in Economics 43482, University of Munich, Department of Economics.
    • Handle: RePEc:lmu:muenar:43482
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    as
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    Cited by:

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    3. Bahel, Eric & Marrouch, Walid & Gaudet, Gérard, 2013. "The economics of oil, biofuel and food commodities," Resource and Energy Economics, Elsevier, vol. 35(4), pages 599-617.
    4. Motavasseli, Ali, 2016. "Essays in environmental policy and household economics," Other publications TiSEM b32e287e-169b-4e89-9878-1, Tilburg University, School of Economics and Management.
    5. Hillebrand, Elmar & Hillebrand, Marten, 2024. "The Global Water Cycle and Climate Policies in a General Equilibrium Model," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302343, Verein für Socialpolitik / German Economic Association.
    6. Nathan Sussman & Osnat Zohar, 2016. "Has Inflation Targeting Become Less Credible? Oil Prices, Global Aggregate Demand and Inflation Expectations during the Global Financial Crisis," Bank of Israel Working Papers 2016.13, Bank of Israel.
    7. Hoel, Michael & Sletten, Thea Marcelia, 2016. "Climate and forests: The tradeoff between forests as a source for producing bioenergy and as a carbon sink," Resource and Energy Economics, Elsevier, vol. 43(C), pages 112-129.
    8. de Moura, Fernanda Senra & Barbrook-Johnson, Peter, 2022. "Using data-driven systems mapping to contextualise complexity economics insights," INET Oxford Working Papers 2022-27, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    9. Gregor Schwerhoff & Martin Stuermer, 2015. "Non-renewable resources, extraction technology, and endogenous growth," Working Papers 1506, Federal Reserve Bank of Dallas.
    10. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).

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    More about this item

    JEL classification:

    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q32 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Exhaustible Resources and Economic Development
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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