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Evaluating Indirect Economic Losses from Flooding Using Input–Output Analysis: An Application to China’s Jiangxi Province

Author

Listed:
  • Yanfang Lyu

    (School of Statistics, Huaqiao University, Xiamen 361021, China)

  • Yun Xiang

    (School of Economics and Finance, Huaqiao University, Quanzhou 362021, China)

  • Dong Wang

    (School of Business, Minnan Normal University, Zhangzhou 363000, China)

Abstract

Quantifying total economic impacts of flood disaster in a timely manner is essential for flood risk management and sustainable economic growth. This study takes the flood disaster in China’s Jiangxi province during the flood season in 2020 as an example, and exploits the input–output method to analyze indirect economic impacts caused by the agricultural direct economic loss. Based on regional IO data and MRIO data, a multi-dimensional econometric analysis was undertaken in terms of inter-regional, multi-regional, and structural decomposition of indirect economic losses. Our study reveals that the indirect economic losses caused by the agricultural sector in other sectors in Jiangxi province were 2.08 times the direct economic losses, of which the manufacturing sector suffered the worst, accounting for 70.11% of the total indirect economic losses. In addition, in terms of demand side and supply side indirect losses, the manufacturing and construction industries were found to be more vulnerable than other industries, and the flood disaster caused the largest indirect economic loss in eastern China. Besides, the supply side losses were significantly higher than the demand side losses, highlighting that the agricultural sector has strong spillover effects on the supply side. Moreover, based on the MRIO data of the years 2012 and 2015, dynamic structural decomposition analysis was undertaken, which showed that changes in the distributional structure appear to be influential in the evaluation of indirect economic losses. The findings highlight the spatial and sectoral heterogeneity of indirect economic losses caused by floods, and have significant implications for disaster mitigation and recovery strategies.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:5:p:4509-:d:1086672
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    1. Xin Huang & Hongzhuan Tan & Jia Zhou & Tubao Yang & Abuaku Benjamin & Shi Wen & Shuoqi Li & Aizhong Liu & Xinhua Li & Shuidong Fen & Xinli Li, 2008. "Flood hazard in Hunan province of China: an economic loss analysis," 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. 47(1), pages 65-73, October.
    2. Zhengtao Zhang & Ning Li & Hong Xu & Jieling Feng & Xi Chen & Chao Gao & Peng Zhang, 2019. "Allocating assistance after a catastrophe based on the dynamic assessment of indirect economic losses," 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. 99(1), pages 17-37, October.
    3. Xue Jin & U. Rashid Sumaila & Kedong Yin, 2020. "Direct and Indirect Loss Evaluation of Storm Surge Disaster Based on Static and Dynamic Input-Output Models," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    4. 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.
    5. 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.
    6. Fu-bao Zhou & Xin-xin Wang & Ying-ke Liu, 2014. "Gas drainage efficiency: an input–output model for evaluating gas drainage projects," 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. 74(2), pages 989-1005, November.
    7. W J Wouter Botzen & Olivier Deschenes & Mark Sanders, 2019. "The Economic Impacts of Natural Disasters: A Review of Models and Empirical Studies," Review of Environmental Economics and Policy, Association of Environmental and Resource Economists, vol. 13(2), pages 167-188.
    8. Yibin Ao & Ling Tan & Qiqi Feng & Liyao Tan & Hongfu Li & Yan Wang & Tong Wang & Yunfeng Chen, 2022. "Livelihood Capital Effects on Famers’ Strategy Choices in Flood-Prone Areas—A Study in Rural China," IJERPH, MDPI, vol. 19(12), pages 1-19, June.
    9. E. E. Koks & M. Bočkarjova & H. de Moel & J. C. J. H. Aerts, 2015. "Integrated Direct and Indirect Flood Risk Modeling: Development and Sensitivity Analysis," Risk Analysis, John Wiley & Sons, vol. 35(5), pages 882-900, May.
    10. Francesco Dottori & Wojciech Szewczyk & Juan-Carlos Ciscar & Fang Zhao & Lorenzo Alfieri & Yukiko Hirabayashi & Alessandra Bianchi & Ignazio Mongelli & Katja Frieler & Richard A. Betts & Luc Feyen, 2018. "Increased human and economic losses from river flooding with anthropogenic warming," Nature Climate Change, Nature, vol. 8(9), pages 781-786, September.
    11. 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.
    12. Francesco Dottori & Wojciech Szewczyk & Juan-Carlos Ciscar & Fang Zhao & Lorenzo Alfieri & Yukiko Hirabayashi & Alessandra Bianchi & Ignazio Mongelli & Katja Frieler & Richard A. Betts & Luc Feyen, 2018. "Author Correction: Increased human and economic losses from river flooding with anthropogenic warming," Nature Climate Change, Nature, vol. 8(11), pages 1021-1021, November.
    13. 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.
    14. Stéphane Hallegatte & Fanny Henriet & Jan Corfee-Morlot, 2011. "The economics of climate change impacts and policy benefits at city scale: a conceptual framework," Climatic Change, Springer, vol. 104(1), pages 51-87, January.
    15. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    16. 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.
    17. David J. Frame & Suzanne M. Rosier & Ilan Noy & Luke J. Harrington & Trevor Carey-Smith & Sarah N. Sparrow & Dáithí A. Stone & Samuel M. Dean, 2020. "Climate change attribution and the economic costs of extreme weather events: a study on damages from extreme rainfall and drought," Climatic Change, Springer, vol. 162(2), pages 781-797, September.
    18. Sven Norman Willner & Christian Otto & Anders Levermann, 2018. "Global economic response to river floods," Nature Climate Change, Nature, vol. 8(7), pages 594-598, July.
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