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Evaluation of the environmental impacts of extreme floods in the Evros River basin using Contingent Valuation Method

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  • V. Markantonis
  • V. Meyer
  • N. Lienhoop

Abstract

The current practice of flood risk assessment focuses mainly on damages that can be easily measured in monetary terms, i.e. the so-called tangible damages on assets that have market values. However, quite often flood events are causing damages on assets that have no market values, e.g. environmental impacts, which usually are neglected. In this context, the present paper explores the potential of Contingent Valuation Method (CVM) to estimate the environmental costs of floods. CVM is a method widely used in environmental economics valuating environmental goods and services that have no market prices. In this case, it is applied to estimate the environmental costs of the severe flooding event that emerged in the Evros River (Greece) during March/April 2006. The environmental costs are elicited by asking three groups of local stakeholders (local scientific and administration experts, farmers and hunters) for their willingness to pay (WTP) to avoid such impacts, particularly on the soil, the biodiversity and the aesthetic environment. Additionally, the experts are asked to state in their opinion, which part of the regional gross domestic product (GDP) should be allocated to avoid environmental flood impacts in the Evros River. The opinions of the three local stakeholders groups were considered in the survey since they are the most informed parts of the population on such a complex issue. Consequently, both the WTP and GDP estimations do not represent the preferences of the wider local population. The findings of this valuation approach have the potential to contribute to a more comprehensive assessment and thus to a more unbiased flood risk management. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • V. Markantonis & V. Meyer & N. Lienhoop, 2013. "Evaluation of the environmental impacts of extreme floods in the Evros River basin using Contingent Valuation Method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1535-1549, December.
  • Handle: RePEc:spr:nathaz:v:69:y:2013:i:3:p:1535-1549
    DOI: 10.1007/s11069-013-0762-3
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    References listed on IDEAS

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    Cited by:

    1. Shibly Shahrier & Koji Kotani, 2016. "Labor Donation Or Money Donation? Pro-Sociality On Prevention Of Natural Disasters In A Case Of Cyclone Aila, Bangladesh," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(01), pages 1-26, March.
    2. Islam, Moinul & Kotani, Koji & Managi, Shunsuke, 2016. "Climate perception and flood mitigation cooperation: A Bangladesh case study," Economic Analysis and Policy, Elsevier, vol. 49(C), pages 117-133.
    3. Shibly Shahrier & Koji Kotani, 2019. "Natural disaster mitigation through voluntary donations in a developing country: the case of Bangladesh," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 21(1), pages 37-60, January.
    4. Moinul Islam & Koji Kotani, 2014. "Perceptions to climatic changes and cooperative attitudes toward flood protection in Bangladesh," Working Papers EMS_2014_10, Research Institute, International University of Japan.
    5. Fatemeh Fadia Maghsood & Hamidreza Moradi & Ronny Berndtsson & Mostafa Panahi & Alireza Daneshi & Hossein Hashemi & Ali Reza Massah Bavani, 2019. "Social Acceptability of Flood Management Strategies under Climate Change Using Contingent Valuation Method (CVM)," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    6. Jan Gaska, 2023. "Losses from Fluvial Floods in Poland over the 21st Century – Estimation Using the Productivity Costs Method," Economics of Disasters and Climate Change, Springer, vol. 7(3), pages 357-383, November.
    7. Xufeng Zhang & Yanliang Liu & Akmaral Tleubergenova & Jin-Song Liu & Ru Fan & Yun-En Tang & Xiang-Zhou Meng, 2022. "Evaluation of Urban Sustainability Based on Development Structures and Economic Aggregates: A Case Study of Jiaxing, China," Sustainability, MDPI, vol. 14(17), pages 1-16, August.
    8. Sina Paryani & Mojgan Bordbar & Changhyun Jun & Mahdi Panahi & Sayed M. Bateni & Christopher M. U. Neale & Hamidreza Moeini & Saro Lee, 2023. "Hybrid-based approaches for the flood susceptibility prediction of Kermanshah province, Iran," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 837-868, March.
    9. Alaa Ahmed & Abdullah Alrajhi & Abdulaziz Alquwaizany & Ali Al Maliki & Guna Hewa, 2022. "Flood Susceptibility Mapping Using Watershed Geomorphic Data in the Onkaparinga Basin, South Australia," Sustainability, MDPI, vol. 14(23), pages 1-23, December.
    10. Sadhan Malik & Subodh Chandra Pal & Alireza Arabameri & Indrajit Chowdhuri & Asish Saha & Rabin Chakrabortty & Paramita Roy & Biswajit Das, 2021. "GIS-based statistical model for the prediction of flood hazard susceptibility," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 16713-16743, November.
    11. Bozorg-Haddad, Omid & Malmir, Marzieh & Mohammad-Azari, Sahar & Loáiciga, Hugo A., 2016. "Estimation of farmers’ willingness to pay for water in the agricultural sector," Agricultural Water Management, Elsevier, vol. 177(C), pages 284-290.
    12. Omid Rahmati & Hamid Reza Pourghasemi, 2017. "Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(5), pages 1473-1487, March.

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