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Towards Better Computational Tools for Effective Environmental Policy Planning

Author

Listed:
  • George E. Halkos

    (University of Thessaly)

  • Kyriaki D. Tsilika

    (University of Thessaly)

Abstract

Effective environmental policies have to be based on robust information taking into consideration the existing trends. The objective of this paper is to facilitate data-driven decisions. Specifically we aim at policies that are built on officially reported emissions data making use of intuitive tools and interfaces to guide European air quality strategies with completeness and consistency. Transboundary (or cross-border) air pollution is a two-sided problem involving a polluter and a pollutee. The visualizations we have created allow a user to conceive the transboundary air pollution scheme from either the polluters’ or pollutees’ perspective. Based on the European Monitoring and Evaluation Program (EMEP) source-receptor matrices from 2003 to 2014, we develop comprehensive pollution monitoring systems. Our systems are created in visualization software in order to bring out the status, attributes and dynamics of transboundary air pollution. Our monitoring applications consist of different visualization modules. All of these modules carry their own information, which can be used separately or together to serve specific visualization tasks: either the polluters’ responsibility or the pollutees’ vulnerability. Several interactive interventions are integrated into each module to achieve particular visualization goals. Controls are added for the number of polluters, year of study, pollution level and geographical region within the extended EMEP area.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:compec:v:58:y:2021:i:3:d:10.1007_s10614-019-09902-1
    DOI: 10.1007/s10614-019-09902-1
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    References listed on IDEAS

    as
    1. 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.
    2. Amman, Hans M & Kendrick, David A, 1999. "Should Macroeconomic Policy Makers Consider Parameter Covariances?," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 263-267, December.
    3. Hans Amman & David Kendrick, 2014. "Comparison of policy functions from the optimal learning and adaptive control frameworks," Computational Management Science, Springer, vol. 11(3), pages 221-235, July.
    4. George E. Halkos, 2013. "Exploring the economy -- environment relationship in the case of sulphur emissions," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 56(2), pages 159-177, March.
    5. Stam, Antonie & Kuula, Markku & Cesar, Herman, 1992. "Transboundary air pollution in Europe: An interactive multicriteria tradeoff analysis," European Journal of Operational Research, Elsevier, vol. 56(2), pages 263-277, January.
    6. 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.
    7. 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.
    8. 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.
    9. Frank Beckenbach & Maria Daskalakis & David Hofmann, 2018. "Agent-Based Analysis of Industrial Dynamics and Paths of Environmental Policy: The Case of Non-renewable Energy Production in Germany," Computational Economics, Springer;Society for Computational Economics, vol. 52(3), pages 953-994, October.
    10. Halkos, George E., 1993. "Sulphur abatement policy: Implications of cost differentials," Energy Policy, Elsevier, vol. 21(10), pages 1035-1043, October.
    11. H. M. Amman & D. A. Kendrick, 2000. "Stochastic Policy Design in a Learning Environment with Rational Expectations," Journal of Optimization Theory and Applications, Springer, vol. 105(3), pages 509-520, June.
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    Citations

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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. Muhammad Abubakr Naeem & Sitara Karim & Aviral Kumar Tiwari, 2023. "Risk Connectedness Between Green and Conventional Assets with Portfolio Implications," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 609-637, August.

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    More about this item

    Keywords

    Visual analytics; Interactive visualization design tools; Air pollution monitoring; Geographical heat maps;
    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
    • 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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