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Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake

Author

Listed:
  • Jidong Wu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology - BNU - Beijing Normal University, BNU - Beijing Normal University)

  • Ning Li

    (State Key Laboratory of Earth Surface Processes and Resource Ecology - BNU - Beijing Normal University, MOE Key Laboratory of Environmental Change and Natural Disaster - BNU - Beijing Normal University)

  • Stéphane Hallegatte

    (CIRED - centre international de recherche sur l'environnement et le développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique, Météo-France)

  • Peijun Shi

    (State Key Laboratory of Earth Surface Processes and Resource Ecology - BNU - Beijing Normal University)

  • Aijun Hu

    (Hunan Meteorol Bur - affiliation inconnue)

  • Xueqin Liu

    (Acad Disaster Reduct and Emergency Management, Minist Civil Affairs, Minist Educ, Beijing, Peoples R China - affiliation inconnue)

Abstract

Disaster loss estimates are helpful for managing post-disaster reconstruction and for designing disaster-risk mitigation strategies. However, most of these estimates in China merely consider direct losses, and only a few include indirect economic losses. As the most destructive earthquake since the founding of the People's Republic of China in 1949, the Wenchuan Earthquake that occurred in 2008 resulted in direct economic damages reached Chinese Yuan (CNY) 845 billion (US $124 billion). The aim of the study was to estimate indirect economic losses caused by the Wenchuan Earthquake in Sichuan Province through the Adaptive Regional Input-Output (ARIO) model, which can reflect disaster-related changes in production capacity, ripple effects within the economic system, and adaptive behaviors of economic actors. The results showed that indirect economic losses in the production and housing sectors were estimated at 40% of the direct economic losses, i.e., approximately CNY 300 billion; moreover, the model predicted an 8-year reconstruction period. Several factors contributed to these losses, including significant damages to key sectors, financial constraints on reconstruction, post-earthquake investment instability, and limits in reconstruction capacity. Active government support policies post-earthquake are a useful strategy to mitigate the adverse economic impact of an earthquake in developing countries.

Suggested Citation

  • Jidong Wu & Ning Li & Stéphane Hallegatte & Peijun Shi & Aijun Hu & Xueqin Liu, 2012. "Regional indirect economic impact evaluation of the 2008 Wenchuan Earthquake," Post-Print hal-00716669, HAL.
  • Handle: RePEc:hal:journl:hal-00716669
    DOI: 10.1007/s12665-011-1078-9
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    Citations

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    Cited by:

    1. Zhengtao Zhang & Ning Li & Peng Cui & Hong Xu & Yuan Liu & Xi Chen & Jieling Feng, 2019. "How to Integrate Labor Disruption into an Economic Impact Evaluation Model for Postdisaster Recovery Periods," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2443-2456, November.
    2. Suyue Han & Bin Liu & Hourui Ren & Zhongli Zhou & Hao Gong, 2023. "Research on the spatiotemporal characteristics of the socioeconomic development level of mountainous earthquake-stricken areas under a long-time series after the earthquake," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(11), pages 12659-12680, November.
    3. Jie Zhang & Meng Lu & Lulu Zhang & Yadong Xue, 2021. "Assessing indirect economic losses of landslides along highways," 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. 106(3), pages 2775-2796, April.
    4. Simola, Heli, 2019. "Evaluating international impacts of China-specific shocks in an input-output framework," BOFIT Discussion Papers 17/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    5. Jian Ma & Anirudh Rao & Vitor Silva & Kai Liu & Ming Wang, 2021. "A township-level exposure model of residential buildings for mainland China," 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. 108(1), pages 389-423, August.
    6. Arnaud Mignan, 2022. "A Digital Template for the Generic Multi-Risk (GenMR) Framework: A Virtual Natural Environment," IJERPH, MDPI, vol. 19(23), pages 1-22, December.
    7. Cailin Wang & Jidong Wu & Xin He & Mengqi Ye & Wenhui Liu & Rumei Tang, 2018. "Emerging Trends and New Developments in Disaster Research after the 2008 Wenchuan Earthquake," IJERPH, MDPI, vol. 16(1), pages 1-19, December.
    8. Huang, Ruixian & Shi, Yujing & Li, Danyang & Wang, Shuoxiang & Jia, Zhehao, 2024. "Religious atmosphere, seismic impact, and corporate charitable donations in China," Energy Economics, Elsevier, vol. 131(C).
    9. Yu, Soonyoung & Kim, Sung-Wook & Oh, Chang-Whan & An, Hyunuk & Kim, Jin-Man, 2015. "Quantitative assessment of disaster resilience: An empirical study on the importance of post-disaster recovery costs," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 6-17.
    10. 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.
    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. repec:zbw:bofitp:2019_017 is not listed on IDEAS
    13. Pengyu Chen, 2022. "Analysis of the post-earthquake economic recovery of the most severely affected areas in the 2008 Wenchuan earthquake," 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. 114(3), pages 2633-2655, December.
    14. 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.
    15. Ying Liang & Runxia Cao, 2015. "Employment assistance policies of Chinese government play positive roles! The impact of post-earthquake employment assistance policies on the health-related quality of life of Chinese earthquake popul," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(3), pages 835-857, February.
    16. Xavier Romão & Esmeralda Paupério, 2016. "A framework to assess quality and uncertainty in disaster loss data," 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. 83(2), pages 1077-1102, September.
    17. Xin He & Jidong Wu & Cailin Wang & Mengqi Ye, 2018. "Historical Earthquakes and Their Socioeconomic Consequences in China: 1950–2017," IJERPH, MDPI, vol. 15(12), pages 1-15, December.
    18. Davide Antonioli & Alberto Marzucchi & Marco Modica, 2022. "Resilience, Performance and Strategies in Firms’ Reactions to the Direct and Indirect Effects of a Natural Disaster," Networks and Spatial Economics, Springer, vol. 22(3), pages 541-565, September.
    19. 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.
    20. Wei Xie & Adam Rose & Shantong Li & Jianwu He & Ning Li & Tariq Ali, 2018. "Dynamic Economic Resilience and Economic Recovery from Disasters: A Quantitative Assessment," Risk Analysis, John Wiley & Sons, vol. 38(6), pages 1306-1318, June.
    21. 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.
    22. Simola, Heli, 2019. "Evaluating international impacts of China-specific shocks in an input-output framework," BOFIT Discussion Papers 17/2019, Bank of Finland, Institute for Economies in Transition.
    23. Yi Peng & Xuewen Li & Li Huang & Shuli Jiang & Yelin Xu & Yani Lai, 2018. "Risks of Developing Concentrated Rural Settlement after the Wenchuan Earthquake in China," Sustainability, MDPI, vol. 10(5), pages 1-18, May.

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