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Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China

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  • Zhuoqun Gao

    (School of Management, Harbin Institute of Technology, Harbin 150001, China)

  • R. Richard Geddes

    (College of Human Ecology, Cornell University, Ithaca, NY 14850, USA)

  • Tao Ma

    (School of Management, Harbin Institute of Technology, Harbin 150001, China
    State Key Laboratory of Urban Water Resource and Environment, Harbin 150001, China)

Abstract

Guangdong Province is one of China’s largest and most developed regions. It is home to more than 113 million people and features unique geographical and climatic characteristics. Typhoons that pass through often result in heavy rainfall, which causes flooding. The region’s risk of typhoon and flood disasters, and the resulting indirect economic impacts, have not been fully assessed. The purpose of this paper is to introduce a method for assessing the spatial and temporal cumulative risk of typhoon-induced flood disasters, and the resulting indirect economic impacts, in order to deal with the uncertainty of disasters. We combined an analytic hierarchy process (AHP) and spatial analysis using a geographic information system (GIS) to produce a comprehensive weighted-risk assessment from three different aspects of disaster, vulnerability, and resilience, with 11 indicators. A new method for computing risk based on spatial and temporal cumulative patterns of typhoon-induced flood disasters was introduced. We incorporated those direct impacts into a computable general equilibrium (CGE) model to simulate indirect economic losses in alternative scenarios according to different risk levels. We found that the risk in the coastal area is significantly higher than that in the northern mountainous area. The coastal areas of western Guangdong, Pearl River Delta, and Chaoshan Plain face the greatest risk. Our results indicate that typhoon and flood disasters have negative effects on the real GDP, residents’ income, consumption, and several other macroeconomic indicators. We found differing disaster impacts across industrial sectors, including changes in the output, prices, and flow of labor among industries. Our estimates provide scientific support for environmental planning, spatial planning, and disaster-risk management in this important region. They are also of reference value for the development of disaster management strategies in similar climatic regions around the world.

Suggested Citation

  • Zhuoqun Gao & R. Richard Geddes & Tao Ma, 2020. "Direct and Indirect Economic Losses Using Typhoon-Flood Disaster Analysis: An Application to Guangdong Province, China," Sustainability, MDPI, vol. 12(21), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:8980-:d:436692
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    1. Kerry Emanuel, 2005. "Increasing destructiveness of tropical cyclones over the past 30 years," Nature, Nature, vol. 436(7051), pages 686-688, August.
    2. Simon Koesler & Michael Schymura, 2015. "Substitution Elasticities In A Constant Elasticity Of Substitution Framework - Empirical Estimates Using Nonlinear Least Squares," Economic Systems Research, Taylor & Francis Journals, vol. 27(1), pages 101-121, March.
    3. Ken Granger, 2003. "Quantifying Storm Tide Risk in Cairns," 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. 30(2), pages 165-185, October.
    4. Zhai, Fan & Hertel, Thomas, 2005. "Impacts of the Doha Development Agenda on China : the role of labor markets and complementary education reforms," Policy Research Working Paper Series 3702, The World Bank.
    5. Adnan, Mohammed Sarfaraz Gani & Abdullah, Abu Yousuf Md & Dewan, Ashraf & Hall, Jim W., 2020. "The effects of changing land use and flood hazard on poverty in coastal Bangladesh," Land Use Policy, Elsevier, vol. 99(C).
    6. Adam Rose, 2004. "Economic Principles, Issues, and Research Priorities in Hazard Loss Estimation," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 2, pages 13-36, Springer.
    7. Nobuhiro Hosoe & Kenji Gasawa & Hideo Hashimoto, 2010. "Textbook of Computable General Equilibrium Modelling," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-28165-3, December.
    8. Stéphane Hallegatte, 2008. "An Adaptive Regional Input‐Output Model and its Application to the Assessment of the Economic Cost of Katrina," Risk Analysis, John Wiley & Sons, vol. 28(3), pages 779-799, June.
    9. Elco E. Koks & Mark Thissen, 2016. "A Multiregional Impact Assessment Model for disaster analysis," Economic Systems Research, Taylor & Francis Journals, vol. 28(4), pages 429-449, October.
    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. Norris, Fran H. & Tracy, Melissa & Galea, Sandro, 2009. "Looking for resilience: Understanding the longitudinal trajectories of responses to stress," Social Science & Medicine, Elsevier, vol. 68(12), pages 2190-2198, June.
    12. Jiayang Zhang & Yangbo Chen, 2019. "Risk Assessment of Flood Disaster Induced by Typhoon Rainstorms in Guangdong Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    13. 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.
    14. Stefan Hajkowicz & Kerry Collins, 2007. "A Review of Multiple Criteria Analysis for Water Resource Planning and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1553-1566, September.
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    Cited by:

    1. Yanfang Lyu & Yun Xiang & Dong Wang, 2023. "Evaluating Indirect Economic Losses from Flooding Using Input–Output Analysis: An Application to China’s Jiangxi Province," IJERPH, MDPI, vol. 20(5), pages 1-17, March.

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