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Measuring air polluters’ responsibility in transboundary pollution networks

Author

Listed:
  • George Halkos

    (University of Thessaly)

  • Shunsuke Managi

    (Kyushu University)

  • Kyriaki Tsilika

    (University of Thessaly)

Abstract

This study proposes a new method of graph computing for environmental economics. We apply a weighted graph model that reproduces the structure of SO x emission–deposition tables. Our data apply scientific and technical data on emissions, atmospheric processes, and effects on the environment of sulfur oxides from the European Monitoring and Evaluation Program of the long-range transmission of air pollutants in Europe. Our graph metrics consider both the activity and the amount of pollution for each polluter. The results show the contribution of oxidized sulfur emitted from one country and deposited to another. The most influential node of the country-to-country blame network is tracked using indicators of centrality. Exploring options and metrics for ranking the blame for SO x pollutants, we depict the degree of the responsibility for SO x depositions in EU countries graphically.

Suggested Citation

  • George Halkos & Shunsuke Managi & Kyriaki Tsilika, 2018. "Measuring air polluters’ responsibility in transboundary pollution networks," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 619-639, July.
    • Handle: RePEc:spr:envpol:v:20:y:2018:i:3:d:10.1007_s10018-017-0208-3
    DOI: 10.1007/s10018-017-0208-3
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    References listed on IDEAS

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    2. Ikuho Kochi & Shunji Matsuoka & Mushtaq Memon & Hiroaki Shirakawa, 2001. "Cost benefit analysis of the sulfur dioxide emissions control policy in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 4(4), pages 219-233, December.
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    6. Hirofumi Fukuyama & Yuichiro Yoshida & Shunsuke Managi, 2011. "Modal choice between air and rail: a social efficiency benchmarking analysis that considers CO 2 emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(2), pages 89-102, June.
    7. George Halkos, 1994. "Optimal abatement of sulphur emissions in Europe," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 4(2), pages 127-150, April.
    8. Isamu Matsukawa, 2012. "The Welfare Effects of Environmental Taxation on a Green Market Where Consumers Emit a Pollutant," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 52(1), pages 87-107, May.
    9. Hutton, J P & Halkos, G E, 1995. "Optimal acid rain abatement policy for Europe: An analysis for the year 2000," Energy Economics, Elsevier, vol. 17(4), pages 259-275, October.
    10. Ken-Ichi Akao, 2014. "Preference constraint for sustainable development," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 16(4), pages 343-357, October.
    11. George Halkos, 1996. "Incomplete information in the acid rain game," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 23(2), pages 129-148, June.
    12. Halkos, George E., 1993. "Sulphur abatement policy: Implications of cost differentials," Energy Policy, Elsevier, vol. 21(10), pages 1035-1043, October.
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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. Surender Kumar & Prerna Prabhakar, 2020. "Industrial energy prices and export competitiveness: evidence from India," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 22(1), pages 1-20, January.
    3. George E. Halkos & Kyriaki D. Tsilika, 2021. "Towards Better Computational Tools for Effective Environmental Policy Planning," Computational Economics, Springer;Society for Computational Economics, vol. 58(3), pages 555-572, October.
    4. Halkos, George & Barmpoudaki, Kyriaki & Voulagkas, George & Tsilika, Kyriaki, 2018. "Exploring the EMEP Input-Output model of air pollution," MPRA Paper 90267, University Library of Munich, Germany.

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    More about this item

    Keywords

    Deposition of oxidized sulfur; Polluters’ responsibility; Computational data analysis; Visual analytics; Data representations; Graph modeling;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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