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Using ex post data to estimate the hurdle rate of abatement investments - an application to sulfur emissions from the Swedish pulp and paper industry and energy sector

Author

Listed:
  • Åsa Löfgren

    (GU - Göteborgs Universitet = University of Gothenburg)

  • Katrin Millock

    (CES - Centre d'économie de la Sorbonne - UP1 - Université Paris 1 Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École nationale des ponts et chaussées - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Céline Nauges

    (LERNA - Economie des Ressources Naturelles - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - CEA - Commissariat à l'énergie atomique et aux énergies alternatives, LERNA - Economie des Ressources Naturelles - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - CEA - Commissariat à l'énergie atomique et aux énergies alternatives)

Abstract

We propose a method for estimating hurdle rates for firms' investments in pollution abatement technology, using ex post data. The method is based on a structural option value model where the future price of polluting fuel is the major source of uncertainty facing the firm. The econometric procedure is illustrated using a panel of firms from the Swedish pulp and paper industry, and the energy and heating sector from 2000 to 2003. The results indicate a hurdle rate of investment of 2.9 in the pulp and paper industry and 3.4 in the energy and heating sector.

Suggested Citation

  • Åsa Löfgren & Katrin Millock & Céline Nauges, 2008. "Using ex post data to estimate the hurdle rate of abatement investments - an application to sulfur emissions from the Swedish pulp and paper industry and energy sector," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00261523, HAL.
    • Handle: RePEc:hal:cesptp:halshs-00261523
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-00261523v1
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    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling

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