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An evaluation of approaches for quantifying emissions from indirect land use change

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  • Delzeit, Ruth
  • Klepper, Gernot
  • Söder, Mareike

Abstract

The contribution of biofuels to save greenhouse gas emissions has been challenged over the last years. A still unresolved question is how to quantify emissions from indirect land use change (iLUC). In this paper we review approaches to quantify iLUC-emissions. We conclude that economic simulation models have fewer drawbacks compared to two other approaches. We find that economic simulation models contain a high level of uncertainty with respect to key model parameters. Further, we conclude that it is inappropriate to calculate crop-specific iLUC-emissions and to include them into binding regulation. We argue that modelling results, particularly crop-specific ones, should not be used for policy decisions.

Suggested Citation

  • Delzeit, Ruth & Klepper, Gernot & Söder, Mareike, 2016. "An evaluation of approaches for quantifying emissions from indirect land use change," Kiel Working Papers 2035, Kiel Institute for the World Economy (IfW Kiel).
    • Handle: RePEc:zbw:ifwkwp:2035
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    References listed on IDEAS

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    1. Jerome Dumortier & Dermot J. Hayes & Miguel Carriquiry & Fengxia Dong & Xiaodong Du & Amani Elobeid & Jacinto F. Fabiosa & Simla Tokgoz, 2011. "Sensitivity of Carbon Emission Estimates from Indirect Land-Use Change," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(4), pages 673-673.
    2. Searchinger, Timothy & Heimlich, Ralph & Houghton, R. A. & Dong, Fengxia & Elobeid, Amani & Fabiosa, Jacinto F. & Tokgoz, Simla & Hayes, Dermot J. & Yu, Hun-Hsiang, 2008. "Use of U.S. Croplands for Biofuels Increases Greenhouse Gases Through Emissions from Land-Use Change," Staff General Research Papers Archive 12881, Iowa State University, Department of Economics.
    3. Andrade de Sá, Saraly & Palmer, Charles & di Falco, Salvatore, 2013. "Dynamics of indirect land-use change: Empirical evidence from Brazil," Journal of Environmental Economics and Management, Elsevier, vol. 65(3), pages 377-393.
    4. Lange, Mareike & Klepper, Gernot, 2011. "Biofuels: The best response of developing countries to high energy prices? A case study for Malawi," Kiel Policy Briefs 32, Kiel Institute for the World Economy (IfW Kiel).
    5. Delzeit, R. & Holm-Müller, K., 2009. "Steps to discern sustainability criteria for a certification scheme of bioethanol in Brazil: Approach and difficulties," Energy, Elsevier, vol. 34(5), pages 662-668.
    6. Mark W. Rosegrant & Tingju Zhu & Siwa Msangi & Timothy Sulser, 2008. "Global Scenarios for Biofuels: Impacts and Implications ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 495-505.
    7. Lange, Mareike, 2011. "The GHG balance of biofuels taking into account land use change," Energy Policy, Elsevier, vol. 39(5), pages 2373-2385, May.
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    Cited by:

    1. Austin, K.G. & Jones, J.P.H. & Clark, C.M., 2022. "A review of domestic land use change attributable to U.S. biofuel policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).

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    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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