IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/85280.html
   My bibliography  Save this paper

Mathematics vs. Statistics in tackling Environmental Economics uncertainty

Author

Listed:
  • Halkos, George
  • Kitsos, Christos

Abstract

In this paper the appropriate background in Mathematics and Statistics is considered in developing methods to investigate Risk Analysis problems associated with Environmental Economics uncertainty. New senses of uncertainty are introduced and a number of sources of uncertainty are discussed and presented. The causes of uncertainty are recognized helping to understand how they affect the adopted policies and how important their management is in any decision-making process. We show Mathematical Models formulate the problem and Statistical models offer possible solutions, restricting the underlying uncertainty, given the model and the error assumptions are correct. As uncertainty is always present we suggest ways on how to handle it.

Suggested Citation

  • Halkos, George & Kitsos, Christos, 2018. "Mathematics vs. Statistics in tackling Environmental Economics uncertainty," MPRA Paper 85280, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:85280
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/85280/1/MPRA_paper_85280.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. George Halkos & John Hutton, "undated". "Acid Rain Games in Europe," Discussion Papers 93/12, Department of Economics, University of York.
    2. George E. Halkos & Dimitra C. Kitsou, 2015. "Uncertainty in optimal pollution levels: modelling and evaluating the benefit area," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 58(4), pages 678-700, April.
    3. Halkos, George & Papageorgiou, George, 2008. "Extraction of non-renewable resources: a differential game approach," MPRA Paper 37596, University Library of Munich, Germany.
    4. Halkos, George, 2010. "Exploring Greek innovation activities: the adoption of generalized linear models," MPRA Paper 24392, University Library of Munich, Germany.
    5. George Halkos & Christos Kitsos, 2005. "Optimal pollution level: a theoretical identification," Applied Economics, Taylor & Francis Journals, vol. 37(13), pages 1475-1483.
    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. 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.
    8. George E. Halkos & Dimitra C. Kitsou, 2018. "Weighted location differential tax in environmental problems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 1-15, January.
    9. Halkos, G.E., 1994. "Optimal acid rain abatement policy in Europe," MPRA Paper 33943, University Library of Munich, Germany.
    10. 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.
    11. Halkos, George E., 1993. "Sulphur abatement policy: Implications of cost differentials," Energy Policy, Elsevier, vol. 21(10), pages 1035-1043, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Halkos, George & Kitsos, Christos, 2024. "Measuring uncertainty, transfer entropy and G-causality In Environmental Economics," MPRA Paper 121764, University Library of Munich, Germany.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Halkos, George & Kitsos, Christos, 2018. "Uncertainty in environmental economics: The problem of entropy and model choice," Economic Analysis and Policy, Elsevier, vol. 60(C), pages 127-140.
    2. George E. Halkos & Dimitra C. Kitsou, 2018. "Weighted location differential tax in environmental problems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(1), pages 1-15, January.
    3. Halkos, George & Tsilika, Kyriaki, 2017. "Computational analysis of source receptor air pollution problems," MPRA Paper 77305, University Library of Munich, Germany.
    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.
    5. Halkos, George & Kitsou, Dimitra, 2014. "A weighted location differential tax method in environmental problems," MPRA Paper 59502, University Library of Munich, Germany.
    6. Halkos, George & Managi, Shunsuke & Tsilika, Kyriaki, 2018. "Spatiotemporal distribution of inclusive wealth data: An illustrated guide," MPRA Paper 85711, University Library of Munich, Germany.
    7. 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.
    8. 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.
    9. Halkos, George, 2013. "Uncertainty in optimal pollution levels: Modeling the benefit area," MPRA Paper 47768, University Library of Munich, Germany.
    10. Halkos, George, 1994. "A game-theoretic approach to pollution control problems," MPRA Paper 33259, University Library of Munich, Germany.
    11. George, Halkos E. & George, Papageorgiou J. & Emmanuel, Halkos G. & John, Papageorgiou G., 2019. "Environmental regulation and economic cycles," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 172-177.
    12. 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.
    13. Halkos, George & Tzeremes, Nickolaos & Kourtzidis, Stavros, 2014. "Abating CO2 emissions in the Greek energy and industry sectors," MPRA Paper 60807, University Library of Munich, Germany.
    14. Halkos, George, 2018. "Environment and Sustainable Development," MPRA Paper 86490, University Library of Munich, Germany.
    15. Halkos, George & Papageorgiou, George, 2012. "Pollution abatement and reservation prices in a market game," MPRA Paper 42150, University Library of Munich, Germany.
    16. Halkos, George & Papageorgiou, George, 2016. "Optimal abatement and taxation for internalizing externalities: A dynamic game with feedback strategies," MPRA Paper 74467, University Library of Munich, Germany.
    17. Halkos, George, 1996. "Evaluating the direct costs of controlling NOx emissions in Europe," MPRA Paper 33253, University Library of Munich, Germany.
    18. Halkos, George, 1997. "Modelling optimal nitrogen oxides abatement in Europe," MPRA Paper 33132, University Library of Munich, Germany.
    19. Halkos, George, 1993. "An evaluation of the direct costs of abatement under the main desulphurisation technologies," MPRA Paper 32588, University Library of Munich, Germany.
    20. Halkos, George, 2000. "Determining optimal air quality standards: Quantities or prices?," MPRA Paper 42849, University Library of Munich, Germany.

    More about this item

    Keywords

    Uncertainty; Environmental Economics; Mathematics; Statistics.;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • Q00 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - General
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:85280. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.