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Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria

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  • N. Yaduma
  • M. Kortelainen
  • A. Wossink

Abstract

The value of statistical life is an essential parameter used in ascribing monetary values to the mortality costs of air pollution in health risk analyses. However, this willingness to pay estimate is virtually non-existent for most developing countries. In the absence of local estimates, two major benefit transfer approaches lend themselves to the estimation of the value of statistical life: the value transfer method and the meta-regression analysis. Using Nigeria as a sample country, we find that the latter method is better tailored than the former for incorporating many characteristics that vary between study sites and policy sites into its benefit transfer application. It is therefore likely to provide more accurate value of statistical life predictions for very low-income countries. Employing the meta-regression method, we find Nigeria’s value of statistical life estimate to be $489,000. Combining this estimate with dose response functions from the epidemiological literature, it follows that if Nigeria had mitigated its 2006 particulate air pollution to the World Health Organisation standards, it could have avoided at least 58,000 premature deaths and recorded an avoided mortality related welfare loss of about $28 billion or 19 % of the nation’s GDP for that year. Copyright Springer Science+Business Media B.V. 2013
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • N. Yaduma & M. Kortelainen & A. Wossink, 2012. "Estimating Mortality and Economic Costs of Particulate Air Pollution in Developing Countries: The Case of Nigeria," The School of Economics Discussion Paper Series 1223, Economics, The University of Manchester.
  • Handle: RePEc:man:sespap:1223
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    File URL: http://hummedia.manchester.ac.uk/schools/soss/economics/discussionpapers/EDP-1223.pdf
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    References listed on IDEAS

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    Cited by:

    1. Ouoba, Youmanli, 2017. "Economic sustainability of the gold mining industry in Burkina Faso," Resources Policy, Elsevier, vol. 51(C), pages 194-203.
    2. Natina Yaduma & Mika Kortelainen & Ada Wossink, 2015. "The environmental Kuznets curve at different levels of economic development: a counterfactual quantile regression analysis for CO 2 emissions," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(3), pages 278-303, November.

    More about this item

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth

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