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Pollution and Health Effects: A Nonparametric Approach

Author

Listed:
  • George Halkos

    (University of Thessaly)

  • Georgia Argyropoulou

    (University of Thessaly)

Abstract

Pollution is associated with serious environmental and health problems. For instance particulate matter (PM2.5) causes severe health problems like respiratory and cardiovascular diseases and outdoor exposure may be carcinogenic to humans. In this study data envelopment analysis is used to estimate the efficiencies of 18 European countries for the years 2000, 2005, 2010, 2014, 2015 and 2016. Directional distance function is utilized to deal with undesirable outputs. Two models are specified one with labour and capital as inputs and GDP/c and mortality from exposure to PM2.5 as desirable and undesirable outputs respectively and the other with environmental related tax revenues as additional input. The results derived are bias corrected to obtain the accurate efficiency scores of every country considered. On the whole the most efficient countries are revealed to be Sweden, Finland, France, the Netherlands and the UK. The inclusion of environmentally related tax revenues seems to have a little influence in efficiency scores.

Suggested Citation

  • George Halkos & Georgia Argyropoulou, 2021. "Pollution and Health Effects: A Nonparametric Approach," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 691-714, October.
    • Handle: RePEc:kap:compec:v:58:y:2021:i:3:d:10.1007_s10614-019-09963-2
    DOI: 10.1007/s10614-019-09963-2
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    Cited by:

    1. Halkos, George & Tsilika, Kyriaki, 2021. "Computational aspects of sustainability: Conceptual review and analytical framework," MPRA Paper 109632, University Library of Munich, Germany.
    2. Halkos, George & Argyropoulou, Georgia, 2024. "Use of indexes in evaluating environmental and health efficiency," MPRA Paper 119800, University Library of Munich, Germany.
    3. George E. Halkos & Kyriaki D. Tsilika, 2021. "Computational Aspects of Sustainability," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 549-553, October.

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    More about this item

    Keywords

    Environmental efficiency; Pollution; Health; Mortality; PM2.5; DEA; DDF; Europe;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • O52 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Europe
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • 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
    • I15 - Health, Education, and Welfare - - Health - - - Health and Economic Development

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