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Can cost‐effectiveness analysis of control measures for persistent chemicals be improved? A critical evaluation of approaches for assessing “effectiveness”

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Listed:
  • Silke Gabbert
  • Arianne de Blaeij
  • Joris T. K. Quik
  • Joost Bakker
  • Joop de Knecht
  • Eric Verbruggen
  • Richard Luit

Abstract

Persistence, that is the ability of a chemical to accumulate in the environment over time, is a core concern triggering regulatory action under the European chemicals legislation REACH. Due to lacking quantitative information about environmental impacts and damage costs, cost‐effectiveness analysis (CEA) has been applied for evaluating the performance of regulatory control measures. Different indicators for assessing the effectiveness of a control measure have been used, (i) the expected aggregate emission reduction, (ii) the change of the environmental mass at steady‐state, and (iii) the change of the cumulative environmental stock. This paper examines the conceptual characteristics of these indicators when being used in CEA. The analysis elaborates on an illustrative example of three persistent chemicals with different intrinsic properties. We find that estimates of aggregate emission reduction and of the change of steady‐state mass misrepresent the environmental pollution burden of persistent chemicals because they ignore the time path of pollution in the environment. This can induce misleading conclusions on the relative cost‐effectiveness of control measures and can lead to an erroneous prioritization of measures. Cumulative stock estimates, while not being equivalent to quantitative risk or impact assessment, capture the time path of pollution in environmental media and, therefore, provide an approximation of the environmental impact potential of persistent chemicals. This is a prerequisite for a concern‐driven evaluation of risk‐management measures for persistent chemicals.

Suggested Citation

  • Silke Gabbert & Arianne de Blaeij & Joris T. K. Quik & Joost Bakker & Joop de Knecht & Eric Verbruggen & Richard Luit, 2023. "Can cost‐effectiveness analysis of control measures for persistent chemicals be improved? A critical evaluation of approaches for assessing “effectiveness”," Journal of Industrial Ecology, Yale University, vol. 27(1), pages 155-169, February.
  • Handle: RePEc:bla:inecol:v:27:y:2023:i:1:p:155-169
    DOI: 10.1111/jiec.13329
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    References listed on IDEAS

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    1. Kolstad, Charles D., 1996. "Learning and Stock Effects in Environmental Regulation: The Case of Greenhouse Gas Emissions," Journal of Environmental Economics and Management, Elsevier, vol. 31(1), pages 1-18, July.
    2. Georgiou, Stavros & Rheinberger, Christoph M. & Vainio, Matti, 2018. "Benefit-Cost Analysis in EU Chemicals Legislation: Experiences from over 100 REACH Applications for Authorisation," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 9(1), pages 181-204, April.
    3. Jon Conrad & Lars Olson, 1992. "The economics of a stock pollutant: Aldicarb on Long Island," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 2(3), pages 245-258, May.
    4. Pauli Lappi & Markku Ollikainen, 2019. "Optimal Environmental Policy for a Mine Under Polluting Waste Rocks and Stock Pollution," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(1), pages 133-158, May.
    5. Falk Ita & Mendelsohn Robert, 1993. "The Economics of Controlling Stock Pollutants: An Efficient Strategy for Greenhouse Gases," Journal of Environmental Economics and Management, Elsevier, vol. 25(1), pages 76-88, July.
    6. William Nordhaus, 2014. "Estimates of the Social Cost of Carbon: Concepts and Results from the DICE-2013R Model and Alternative Approaches," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 1(1), pages 000.
    7. Hediger, Werner, 2009. "Sustainable development with stock pollution," Environment and Development Economics, Cambridge University Press, vol. 14(6), pages 759-780, December.
    8. Arthur E. Attema & Werner B. F. Brouwer & Karl Claxton, 2018. "Discounting in Economic Evaluations," PharmacoEconomics, Springer, vol. 36(7), pages 745-758, July.
    9. Silke Gabbert & Hans‐Peter Weikard, 2010. "A theory of chemicals regulation and testing," Natural Resources Forum, Blackwell Publishing, vol. 34(2), pages 155-164, May.
    10. Silke Gabbert & Hans‐Peter Weikard, 2010. "A theory of chemicals regulation and testing," Natural Resources Forum, Blackwell Publishing, vol. 34, pages 155-164, May.
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