IDEAS home Printed from https://ideas.repec.org/p/ehl/lserod/100534.html
   My bibliography  Save this paper

Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector

Author

Listed:
  • Hu, Xi
  • Pant, Raghav
  • Hall, Jim W.
  • Surminski, Swenja
  • Huang, Jiashun

Abstract

We present an empirical study to systemically estimate flooding impacts, linking across scales from individual firms through to the macro levels in China. To this end, we combine a detailed firm-level econometric analysis of 399,356 firms with a macroeconomic input-output model to estimate flood impacts on China's manufacturing sector over the period 2003-2010. We find that large flooding events on average reduce firm outputs (measured by labor productivity) by about 28.3% per year. Using an input-output analysis, we estimate the potential macroeconomic impact to be a 12.3% annual loss in total output, which amounts to 15,416 RMB billion. Impacts can propagate from manufacturing firms, which are the focus of our empirical analysis, through to other economic sectors that may not actually be located in floodplains but can still be affected by economic disruptions. Lagged flood effects over the following two years are estimated to be a further 5.4% at the firm level and their associated potential effects are at a 2.3% loss in total output or 2,486 RMB billion at the macro-level. These results indicate that the scale of economic impacts from flooding is much larger than microanalyses of direct damage indicate, thus justifying greater action, at a policy level and by individual firms, to manage flood risk.

Suggested Citation

  • Hu, Xi & Pant, Raghav & Hall, Jim W. & Surminski, Swenja & Huang, Jiashun, 2019. "Multi-scale assessment of the economic impacts of flooding: evidence from firm to macro-level analysis in the Chinese manufacturing sector," LSE Research Online Documents on Economics 100534, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:100534
    as

    Download full text from publisher

    File URL: http://eprints.lse.ac.uk/100534/
    File Function: Open access version.
    Download Restriction: no
    ---><---

    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. Paul Frijters & Benno Torgler & Darshana Rajapaksa & Clevo Wilson & Shunsuke Managi & Vincent Hoang & Boon Lee, 2016. "Flood Risk Information, Actual Floods and Property Values: A Quasi-Experimental Analysis," The Economic Record, The Economic Society of Australia, vol. 92, pages 52-67, June.
    3. Li, Ling, 2018. "China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 66-74.
    4. Hayakawa, Kazunobu & Matsuura, Toshiyuki & Okubo, Fumihiro, 2015. "Firm-level impacts of natural disasters on production networks: Evidence from a flood in Thailand," Journal of the Japanese and International Economies, Elsevier, vol. 38(C), pages 244-259.
    5. 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.
    6. Julia I. Lane & John C. Haltiwanger & James Spletzer, 1999. "Productivity Differences across Employers: The Roles of Employer Size, Age, and Human Capital," American Economic Review, American Economic Association, vol. 89(2), pages 94-98, May.
    7. 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.
    8. Lorenzo Carrera & Gabriele Standardi & Francesco Bosello & Jaroslav Mysiak, 2014. "Assessing Direct and Indirect Economic Impacts of a Flood Event Through the Integration of Spatial and Computable General Equilibrium Modelling," Working Papers 2014.82, Fondazione Eni Enrico Mattei.
    9. Schumacher, Ingmar & Strobl, Eric, 2011. "Economic development and losses due to natural disasters: The role of hazard exposure," Ecological Economics, Elsevier, vol. 72(C), pages 97-105.
    10. 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.
    11. Heidi Kreibich & Jeroen C. J. M. van den Bergh & Laurens M. Bouwer & Philip Bubeck & Paolo Ciavola & Colin Green & Stephane Hallegatte & Ivana Logar & Volker Meyer & Reimund Schwarze & Annegret H. Thi, 2014. "Costing natural hazards," Nature Climate Change, Nature, vol. 4(5), pages 303-306, May.
    12. Meri Davlasheridze & Pinar C. Geylani, 2017. "Small Business vulnerability to floods and the effects of disaster loans," Small Business Economics, Springer, vol. 49(4), pages 865-888, December.
    13. 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.
    14. Bilal M. Ayyub & Haralamb G. Braileanu & Naeem Qureshi, 2012. "Prediction and Impact of Sea Level Rise on Properties and Infrastructure of Washington, DC," Risk Analysis, John Wiley & Sons, vol. 32(11), pages 1901-1918, November.
    15. Mark Skidmore & Hideki Toya, 2002. "Do Natural Disasters Promote Long-Run Growth?," Economic Inquiry, Western Economic Association International, vol. 40(4), pages 664-687, October.
    16. Andrea Leiter & Harald Oberhofer & Paul Raschky, 2009. "Creative Disasters? Flooding Effects on Capital, Labour and Productivity Within European Firms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(3), pages 333-350, July.
    17. Hong Zou & Mike B. Adams & Mike J. Buckle, 2003. "Corporate Risks and Property Insurance: Evidence From the People's Republic of China," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 70(2), pages 289-314, June.
    18. 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.
    19. Kousky, Carolyn, 2014. "Informing climate adaptation: A review of the economic costs of natural disasters," Energy Economics, Elsevier, vol. 46(C), pages 576-592.
    20. Miles Parker, 2018. "The Impact of Disasters on Inflation," Economics of Disasters and Climate Change, Springer, vol. 2(1), pages 21-48, April.
    21. Zhang, Lei, 2016. "Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 12-19.
    22. 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.
    23. Albert E. Steenge & Marija Bockarjova, 2007. "Thinking about Imbalances in Post-catastrophe Economies: An Input-Output based Proposition," Economic Systems Research, Taylor & Francis Journals, vol. 19(2), pages 205-223.
    24. 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.
    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. 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.
    2. Mathews, Shilpita & Surminski, Swenja & Roezer, Viktor, 2021. "The risk of corporate lock-in to future physical climate risks: the case of flood risk in England and Wales," LSE Research Online Documents on Economics 112801, London School of Economics and Political Science, LSE Library.
    3. Mathews, Shilpita & Surminski, Swenja & Roezer, Viktor, 2021. "The risk of corporate lock-in to future physical climate risks: the case of flood risk in England and Wales," LSE Research Online Documents on Economics 112807, London School of Economics and Political Science, LSE Library.
    4. Apurba Roy & Ilan Noy, 2023. "Impact of extratropical cyclones, floods, and wildfires on firms’ financial performance in New Zealand," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 25(4), pages 493-574, October.
    5. Vinzenz Peters & Jingtian Wang & Mark Sanders, 2023. "Resilience to extreme weather events and local financial structure of prefecture-level cities in China," Climatic Change, Springer, vol. 176(9), pages 1-21, September.

    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. Xi Hu & Raghav Pant & Jim W. Hall & Swenja Surminski & Jiashun Huang, 2019. "Multi-Scale Assessment of the Economic Impacts of Flooding: Evidence from Firm to Macro-Level Analysis in the Chinese Manufacturing Sector," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    2. Matteo Coronese & Davide Luzzati, 2022. "Economic impacts of natural hazards and complexity science: a critical review," LEM Papers Series 2022/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    3. 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.
    4. Zhiqiang Yin & Yixin Hu & Katie Jenkins & Yi He & Nicole Forstenhäusler & Rachel Warren & Lili Yang & Rhosanna Jenkins & Dabo Guan, 2021. "Assessing the economic impacts of future fluvial flooding in six countries under climate change and socio-economic development," Climatic Change, Springer, vol. 166(3), pages 1-21, June.
    5. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    6. Weijiang Li & Jiahong Wen & Bo Xu & Xiande Li & Shiqiang Du, 2018. "Integrated Assessment of Economic Losses in Manufacturing Industry in Shanghai Metropolitan Area Under an Extreme Storm Flood Scenario," Sustainability, MDPI, vol. 11(1), pages 1-19, December.
    7. Rui Huang & Arunima Malik & Manfred Lenzen & Yutong Jin & Yafei Wang & Futu Faturay & Zhiyi Zhu, 2022. "Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output 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. 110(3), pages 2227-2248, February.
    8. David Mendoza‐Tinoco & Yixin Hu & Zhao Zeng & Konstantinos J. Chalvatzis & Ning Zhang & Albert E. Steenge & Dabo Guan, 2020. "Flood Footprint Assessment: A Multiregional Case of 2009 Central European Floods," Risk Analysis, John Wiley & Sons, vol. 40(8), pages 1612-1631, August.
    9. Trond G. Husby & Elco E. Koks, 2017. "Household migration in disaster impact analysis: incorporating behavioural responses to risk," 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. 87(1), pages 287-305, May.
    10. 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.
    11. Balakrishnan, Srijith & Lim, Taehoon & Zhang, Zhanmin, 2022. "A methodology for evaluating the economic risks of hurricane-related disruptions to port operations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 58-79.
    12. Balint, T. & Lamperti, F. & Mandel, A. & Napoletano, M. & Roventini, A. & Sapio, A., 2017. "Complexity and the Economics of Climate Change: A Survey and a Look Forward," Ecological Economics, Elsevier, vol. 138(C), pages 252-265.
    13. 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.
    14. 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.
    15. Daoping Wang & Ottar N. Bjørnstad & Tianyang Lei & Yida Sun & Jingwen Huo & Qi Hao & Zhao Zeng & Shupeng Zhu & Stéphane Hallegatte & Ruiyun Li & Dabo Guan & Nils C. Stenseth, 2023. "Supply chains create global benefits from improved vaccine accessibility," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    16. Hallegatte, Stephane, 2014. "Economic resilience: definition and measurement," Policy Research Working Paper Series 6852, The World Bank.
    17. 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.
    18. Pichler, Anton & Pangallo, Marco & del Rio-Chanona, R. Maria & Lafond, François & Farmer, J. Doyne, 2022. "Forecasting the propagation of pandemic shocks with a dynamic input-output model," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    19. Aaron B. Gertz & James B. Davies & Samantha L. Black, 2019. "A CGE Framework for Modeling the Economics of Flooding and Recovery in a Major Urban Area," Risk Analysis, John Wiley & Sons, vol. 39(6), pages 1314-1341, June.
    20. Naqvi, Asjad, 2017. "Deep Impact: Geo-Simulations as a Policy Toolkit for Natural Disasters," World Development, Elsevier, vol. 99(C), pages 395-418.

    More about this item

    Keywords

    China; flooding; indirect economic impact; manufacturing firms; natural disasters; ES/K006576/1;
    All these keywords.

    JEL classification:

    • N0 - Economic History - - General

    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:ehl:lserod:100534. 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: LSERO Manager (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.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.