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Are interactions important in estimating flood damage to economic entities? The case of wine-making in France

Author

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  • David Nortes Martínez

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - AgroParisTech - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Frédéric Grelot

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - AgroParisTech - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Pauline Bremond

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - AgroParisTech - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Stefano Farolfi

    (UMR G-EAU - Gestion de l'Eau, Acteurs, Usages - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - IRD - Institut de Recherche pour le Développement - AgroParisTech - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement, Cirad-ES - Département Environnements et Sociétés - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement, CEE-M - Centre d'Economie de l'Environnement - Montpellier - UM - Université de Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro - Montpellier SupAgro - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement)

  • Juliette Rouchier

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Estimating flood damage, although crucial for assessing flood risk and for designing mitigation policies, continues to face numerous challenges, notably the assessment of indirect damage. It is widely accepted that damage other than direct damage can account for a significant proportion of total damage. Yet due to scarcer data sources and lack of knowledge on links within and between economic activities, indirect impacts have received less attention than direct impacts. Furthermore, attempts to grasp indirect damage through economic models have not gone below regional levels. Even though local communities can be devastated by flood events without this being reflected in regional accounts, few studies have been conducted from a microeconomic perspective at local level. What is more, the standard practices applied at this level of analysis tackle entities but ignore how they may be linked. This paper addresses these two challenges by building a novel agent-based model of a local agricultural production chain (a French cooperative wine-making system), utilized as a virtual laboratory for the ex ante estimation of flood impacts. We show how overlooking existing interactions between economic entities in production chains can result in either overestimation (double counting) or underestimation (wrong estimation of the consequences for the activity) of flood damage. Our results also reveal that considering interactions requires thorough characterization of their spatial configuration. Based on both the application of our method and the results obtained, we propose balanced recommendations for flood damage estimation at local level.

Suggested Citation

  • David Nortes Martínez & Frédéric Grelot & Pauline Bremond & Stefano Farolfi & Juliette Rouchier, 2021. "Are interactions important in estimating flood damage to economic entities? The case of wine-making in France," Post-Print hal-03609616, HAL.
  • Handle: RePEc:hal:journl:hal-03609616
    DOI: 10.5194/nhess-21-3057-2021
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03609616
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    References listed on IDEAS

    as
    1. Yasuhide Okuyama & Joost R. Santos, 2014. "Disaster Impact And Input--Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 1-12, March.
    2. Hallegatte, Stephane & Hourcade, Jean-Charles & Dumas, Patrice, 2007. "Why economic dynamics matter in assessing climate change damages: Illustration on extreme events," Ecological Economics, Elsevier, vol. 62(2), pages 330-340, April.
    3. Pauline Bremond & Frédéric Grelot & Anne-Laurence Agenais, 2013. "Review Article: "Flood damage assessment on agricultural areas: review and analysis of existing methods"," Working Papers hal-00783552, HAL.
    4. Richard Dawson & Roger Peppe & Miao Wang, 2011. "An agent-based model for risk-based flood incident management," 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. 59(1), pages 167-189, October.
    5. Aekapol Chongvilaivan, 2012. "Thailand's 2011 flooding: Its impact on direct exports and global supply chains," Working Papers 11312, Asia-Pacific Research and Training Network on Trade (ARTNeT), an initiative of UNESCAP and IDRC, Canada..
    6. Jan Dubbelboer & Igor Nikolic & Katie Jenkins & Jim Hall, 2017. "An Agent-Based Model of Flood Risk and Insurance," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-6.
    7. Filatova, Tatiana & Parker, Dawn Cassandra & van der Veen, Anne, 2011. "The Implications of Skewed Risk Perception for a Dutch Coastal Land Market: Insights from an Agent-Based Computational Economics Model," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-19, December.
    8. Otto, Christian & Willner, Sven Norman & Wenz, Leonie & Frieler, Katja & Levermann, Anders, 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," OSF Preprints 7yyhd, Center for Open Science.
    9. Grames, Johanna & Prskawetz, Alexia & Grass, Dieter & Viglione, Alberto & Blöschl, Günter, 2016. "Modeling the interaction between flooding events and economic growth," Ecological Economics, Elsevier, vol. 129(C), pages 193-209.
    10. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    11. Johanna Grames & Dieter Grass & Peter M. Kort & Alexia Prskawetz, 2019. "Optimal investment and location decisions of a firm in a flood risk area using impulse control theory," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(4), pages 1051-1077, December.
    12. Tesfatsion, Leigh S., 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," Staff General Research Papers Archive 5075, Iowa State University, Department of Economics.
    13. Jan Oosterhaven & Johannes Többen, 2017. "Wider economic impacts of heavy flooding in Germany: a non-linear programming approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 12(4), pages 404-428, October.
    14. Joost R. Santos & Krista Danielle S. Yu & Sheree Ann T. Pagsuyoin & Raymond R. Tan, 2014. "Time-Varying Disaster Recovery Model For Interdependent Economic Systems Using Hybrid Input--Output And Event Tree Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 60-80, March.
    15. Erdlenbruch, Katrin & Thoyer, Sophie & Grelot, Frédéric & Kast, Robert & Enjolras, Geoffroy, 2009. "Risk-sharing policies in the context of the French Flood Prevention Action Programmes," MPRA Paper 20187, University Library of Munich, Germany.
    16. Katrin Erdlenbruch & Bruno Bonté, 2018. "Simulating the dynamics of individual adaptation to floods," Post-Print hal-02175815, HAL.
    17. Safarzyńska, Karolina & Brouwer, Roy & Hofkes, Marjan, 2013. "Evolutionary modelling of the macro-economic impacts of catastrophic flood events," Ecological Economics, Elsevier, vol. 88(C), pages 108-118.
    18. Stéphane Hallegatte, 2014. "Modeling the Role of Inventories and Heterogeneity in the Assessment of the Economic Costs of Natural Disasters," Risk Analysis, John Wiley & Sons, vol. 34(1), pages 152-167, January.
    19. Otto, C. & Willner, S.N. & Wenz, L. & Frieler, K. & Levermann, A., 2017. "Modeling loss-propagation in the global supply network: The dynamic agent-based model acclimate," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 232-269.
    20. Hallegatte, Stéphane & Ghil, Michael, 2008. "Natural disasters impacting a macroeconomic model with endogenous dynamics," Ecological Economics, Elsevier, vol. 68(1-2), pages 582-592, December.
    21. Federico Perali & Pasquale Lucio Scandizzo (ed.), 2018. "The New Generation of Computable General Equilibrium Models," Springer Books, Springer, number 978-3-319-58533-8, January.
    22. Lijiao Yang & Yoshio Kajitani & Hirokazu Tatano & Xinyu Jiang, 2016. "A methodology for estimating business interruption loss caused by flood disasters: insights from business surveys after Tokai Heavy Rain in Japan," 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. 84(1), pages 411-430, November.
    23. Hess, T. M. & Morris, J., 1988. "Estimating the value of flood alleviation on agricultural grassland," Agricultural Water Management, Elsevier, vol. 15(2), pages 141-153, December.
    24. Yoshio Kajitani & Hirokazu Tatano, 2014. "Estimation Of Production Capacity Loss Rate After The Great East Japan Earthquake And Tsunami In 2011," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 13-38, March.
    25. Brouwer, Roy & van Ek, Remco, 2004. "Integrated ecological, economic and social impact assessment of alternative flood control policies in the Netherlands," Ecological Economics, Elsevier, vol. 50(1-2), pages 1-21, September.
    26. Stéphane Hallegatte, 2008. "An adaptive regional input-output model and its application to the assessment of the economic cost of Katrina," Post-Print hal-00716550, HAL.
    27. Harold C. Cochrane, 2004. "Indirect Losses from Natural Disasters: Measurement and Myth," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 3, pages 37-52, Springer.
    28. Handi Chandra Putra & Haiyan Zhang & Clinton Andrews, 2015. "Modeling Real Estate Market Responses to Climate Change in the Coastal Zone," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(2), pages 1-18.
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