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Estimating a meta-damage regression model for large accidental oil spills

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  • Alló, Maria
  • Loureiro, Maria L.

Abstract

Oil spills cause major damage to both a wide range of economic sectors and the environment. It is therefore important to anticipate the potential damage caused by these types of disasters, which can occur under many different and unpredictable circumstances. In this paper we study the main determining factors of the damage caused by oil spills, focusing in particular on the role played by the legislation applied in preventing these accidents. We find that more restrictive legislation reduces the economic damage caused by vessel oil spills. Based on the results of this international meta-regression, we are able to predict the marginal contributions to the damage function of the most relevant causing factors. These estimated damages can be used for rapid evaluations in the future, in cases where a direct damage assessment is not possible.

Suggested Citation

  • Alló, Maria & Loureiro, Maria L., 2013. "Estimating a meta-damage regression model for large accidental oil spills," Ecological Economics, Elsevier, vol. 86(C), pages 167-175.
    • Handle: RePEc:eee:ecolec:v:86:y:2013:i:c:p:167-175
    DOI: 10.1016/j.ecolecon.2012.11.007
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    Cited by:

    1. McFarlan, Andrew, 2018. "Techno-economic assessment of pathways for electricity generation in northern remote communities in Canada using methanol and dimethyl ether to replace diesel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 863-876.
    2. Pan, Guangchen & Qiu, Shengyao & Liu, Xin & Hu, Xiaoke, 2015. "Estimating the economic damages from the Penglai 19-3 oil spill to the Yantai fisheries in the Bohai Sea of northeast China," Marine Policy, Elsevier, vol. 62(C), pages 18-24.

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