IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i10p1840-d946905.html
   My bibliography  Save this article

Characteristics of Disaster Losses Distribution and Disaster Reduction Risk Investment in China from 2010 to 2020

Author

Listed:
  • Wenping Li

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    Collage of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Yuming Wu

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xing Gao

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Wei Wang

    (State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

China is one of an increasing number of countries in the world that is suffering from frequent and severe natural disasters, which cause serious loss of life. The Chinese government has set up a special financial fund for natural disaster mitigation and reduction. Therefore, based on the financial expenditure data and disaster losses data obtained from ministries of emergency management and the China Statistical Yearbook, we analyzed the spatio-temporal distribution of natural disaster losses at the economic zonal scale during 2010–2020, and then evaluated the efficiency of disaster mitigation and reduction using a DEA model. The results showed that the natural disaster losses decreased significantly in most provinces from 2010 to 2020. The distribution of precipitation is extremely uneven (more in the southeast and less in the northwest). Moreover, the Central and Western Economic Zones are the most earthquake-prone regions in China, especially Xinjiang, Tibet, Sichuan, Yunnan and Gansu. Among all natural disasters, floods were the leading natural disasters, causing the most severe losses in China on the national scale. Furthermore, the cities with higher comprehensive efficiency, mean the ratio between the effects and funding on disaster mitigation and reduction, were either economically developed or geographically large and sparsely populated. Finally, we used an exponential regression equation model to explore the relationship between financial input and direct economic losses caused by natural disasters in 2019 and 2020; we found that there is a negative correlation between the financial investment and the direct economic losses. In conclusion, it is necessary to improve the technology of natural disaster mitigation and reduction and to adjust the scale of investment according to the actual situation of each region and the different disasters in China. This paper aims to provide relevant experience and basis for China’s comprehensive disaster mitigation and reduction work.

Suggested Citation

  • Wenping Li & Yuming Wu & Xing Gao & Wei Wang, 2022. "Characteristics of Disaster Losses Distribution and Disaster Reduction Risk Investment in China from 2010 to 2020," Land, MDPI, vol. 11(10), pages 1-20, October.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1840-:d:946905
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/10/1840/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/10/1840/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. David Strömberg, 2007. "Natural Disasters, Economic Development, and Humanitarian Aid," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 199-222, Summer.
    2. Ilan Noy, 2016. "Natural disasters in the Pacific Island Countries: new measurements of impacts," 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 7-18, November.
    3. Melissa Dell & Benjamin F. Jones & Benjamin A. Olken, 2014. "What Do We Learn from the Weather? The New Climate-Economy Literature," Journal of Economic Literature, American Economic Association, vol. 52(3), pages 740-798, September.
    4. Jeanet Sinding Bentzen, 2019. "Acts of God? Religiosity and Natural Disasters Across Subnational World Districts," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2295-2321.
    5. Solomon M. Hsiang & Amir S. Jina, 2014. "The Causal Effect of Environmental Catastrophe on Long-Run Economic Growth: Evidence From 6,700 Cyclones," NBER Working Papers 20352, National Bureau of Economic Research, Inc.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. Toya, Hideki & Skidmore, Mark, 2007. "Economic development and the impacts of natural disasters," Economics Letters, Elsevier, vol. 94(1), pages 20-25, January.
    8. Yang Zhou & Ning Li & Wenxiang Wu & Haolong Liu & Li Wang & Guangxu Liu & Jidong Wu, 2014. "Socioeconomic development and the impact of natural disasters: some empirical evidences from 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. 74(2), pages 541-554, November.
    9. Page, Lionel & Savage, David A. & Torgler, Benno, 2014. "Variation in risk seeking behaviour following large losses: A natural experiment," European Economic Review, Elsevier, vol. 71(C), pages 121-131.
    10. Yongdeng Lei & Jing’ai Wang, 2014. "A preliminary discussion on the opportunities and challenges of linking climate change adaptation with disaster risk reduction," 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. 71(3), pages 1587-1597, April.
    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. Haoran Su & Chang Liu & Donghui Dai & Wenkai Chen & Zhen Zhang & Yaowu Wang, 2023. "Distribution Characteristics and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China," Land, MDPI, vol. 12(8), pages 1-30, August.

    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. Johar, Meliyanni & Johnston, David W. & Shields, Michael A. & Siminski, Peter & Stavrunova, Olena, 2022. "The economic impacts of direct natural disaster exposure," Journal of Economic Behavior & Organization, Elsevier, vol. 196(C), pages 26-39.
    2. Berlemann, Michael & Wenzel, Daniela, 2018. "Hurricanes, economic growth and transmission channels," World Development, Elsevier, vol. 105(C), pages 231-247.
    3. Sven Kunze, 2021. "Unraveling the Effects of Tropical Cyclones on Economic Sectors Worldwide: Direct and Indirect Impacts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(4), pages 545-569, April.
    4. Kunze, Sven, 2020. "Unraveling the effects of tropical cyclones on economic sectors worldwide," Working Papers 0685, University of Heidelberg, Department of Economics.
    5. Augustus J. Panton, 2020. "Climate hysteresis and monetary policy," CAMA Working Papers 2020-76, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    6. Kunze, Sven, 2017. "Unraveling the Effects of Tropical Cyclones on Economic Sectors Worldwide," Working Papers 0641, University of Heidelberg, Department of Economics.
    7. Kunze, Sven, 2018. "Unraveling the effects of tropical cyclones on economic sectors worldwide," Working Papers 0653, University of Heidelberg, Department of Economics.
    8. 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.
    9. Michael Berlemann & Daniela Wenzel, 2016. "Long-term Growth Effects of Natural Disasters - Empirical Evidence for Droughts," Economics Bulletin, AccessEcon, vol. 36(1), pages 464-476.
    10. Léopold T Biardeau & Mondher Sahli, 2024. "Investigating the non-linear impacts of seven types of natural disasters on inbound tourism: Insights from the EM-DAT database," Tourism Economics, , vol. 30(4), pages 900-923, June.
    11. Cécile Couharde & Rémi Generoso, 2015. "Hydro-climatic thresholds and economic growth reversals in developing countries: an empirical investigation," EconomiX Working Papers 2015-26, University of Paris Nanterre, EconomiX.
    12. William Ginn, 2022. "Climate Disasters and the Macroeconomy: Does State-Dependence Matter? Evidence for the US," Economics of Disasters and Climate Change, Springer, vol. 6(1), pages 141-161, March.
    13. Jeroen Klomp, 2020. "Election or Disaster Support?," Journal of Development Studies, Taylor & Francis Journals, vol. 56(1), pages 205-220, January.
    14. Pelli, Martino & Tschopp, Jeanne & Bezmaternykh, Natalia & Eklou, Kodjovi M., 2023. "In the eye of the storm: Firms and capital destruction in India," Journal of Urban Economics, Elsevier, vol. 134(C).
    15. Yanos Zylberberg, 2010. "Natural natural disasters and economic disruption," PSE Working Papers halshs-00564946, HAL.
    16. 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.
    17. Franziska Piontek & Matthias Kalkuhl & Elmar Kriegler & Anselm Schultes & Marian Leimbach & Ottmar Edenhofer & Nico Bauer, 2019. "Economic Growth Effects of Alternative Climate Change Impact Channels in Economic Modeling," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1357-1385, August.
    18. Hiroki Onuma & Kong Joo Shin & Shunsuke Managi, 2021. "Short-, Medium-, and Long-Term Growth Impacts of Catastrophic and Non-catastrophic Natural Disasters," Economics of Disasters and Climate Change, Springer, vol. 5(1), pages 53-70, April.
    19. Richard S. J. Tol, 2021. "The Economic Impact of Climate in the Long Run," World Scientific Book Chapters, in: Anil Markandya & Dirk Rübbelke (ed.), CLIMATE AND DEVELOPMENT, chapter 1, pages 3-36, World Scientific Publishing Co. Pte. Ltd..
    20. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.

    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:gam:jlands:v:11:y:2022:i:10:p:1840-:d:946905. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.