IDEAS home Printed from https://ideas.repec.org/a/wsi/cjuesx/v06y2018i01ns2345748118500033.html
   My bibliography  Save this article

Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method

Author

Listed:
  • Yong SHI

    (School of Tourism Management, Zhengzhou University, No. 100 Science Avenue, Zhengzhou, Henan Province 450001, China)

Abstract

In recent years, as the international community pays increasing attention to disaster prevention and reduction, study on vulnerability has become a new focus in the science of disaster, and it gradually becomes a consideration in strategy-making for sustainable social development. Understanding of vulnerability has become a prerequisite for grasping the nature of disasters, and it is also an area where humans can make a difference in disaster prevention and mitigation. Based on historical disasters and the concepts of vulnerability, this study applies the CCR model, one of the most basic Data Envelopment Analysis (DEA) models, to analyze the pattern of variation regarding agricultural vulnerability to floods in Shanghai suburban areas. The results prove the following: chronologically, the overall vulnerability degrees of Shanghai suburbs listed in the descending order are 1991>1983>1984>1981>1985>1979>1986>1990>1980>1989>1987>1988; spatially, based on the averages recorded in 2013, the vulnerability levels of Shanghai suburban districts are Nanhui > Jinshan > Songjiang > Baoshan > Qingpu > Pudong > Jiading > Fengxian. The results are basically consistent with the fact. Based on the characteristics of each district’s vulnerability to floods, some suggestions for flood prevention and mitigation are provided. The assessment models of flood vulnerability are simple and can be used for vulnerability analysis of natural disasters at regional or national levels. The assessment method adopted in this paper contributes to a deeper understanding of agricultural vulnerability to floods in Shanghai and provides a scientific base for the decision-making of related departments.

Suggested Citation

  • Yong SHI, 2018. "Assessment of Agricultural Vulnerability to Floods in Shanghai by the DEA Method," Chinese Journal of Urban and Environmental Studies (CJUES), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-11, March.
    • Handle: RePEc:wsi:cjuesx:v:06:y:2018:i:01:n:s2345748118500033
    DOI: 10.1142/S2345748118500033
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2345748118500033
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S2345748118500033?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:idb:brikps:publication-detail,7101.html?id=68568 is not listed on IDEAS
    2. Olga Wilhelmi & Donald Wilhite, 2002. "Assessing Vulnerability to Agricultural Drought: A Nebraska Case Study," 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. 25(1), pages 37-58, January.
    3. P. Peduzzi & H. Herold, 2005. "Mapping Disastrous Natural Hazards Using Global Datasets," 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. 35(2), pages 265-289, June.
    4. Zhiqiang Wang & Fei He & Weihua Fang & Yongfeng Liao, 2013. "Assessment of physical vulnerability to agricultural drought in 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. 67(2), pages 645-657, June.
    5. Maxx Dilley & Robert S. Chen & Uwe Deichmann & Arthur L. Lerner-Lam & Margaret Arnold, 2005. "Natural Disaster Hotspots: A Global Risk Analysis," World Bank Publications - Books, The World Bank Group, number 7376.
    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. Yash Daultani & Ashish Dwivedi & Saurabh Pratap, 2021. "Benchmarking higher education institutes using data envelopment analysis: capturing perceptions of prospective engineering students," OPSEARCH, Springer;Operational Research Society of India, vol. 58(4), pages 773-789, December.
    2. Ying Li & Yung‐ho Chiu & Tai‐Yu Lin & Hongyi Cen & Yabin Liu, 2021. "Evaluation of natural disaster treatment efficiency in 27 Chinese provinces," Natural Resources Forum, Blackwell Publishing, vol. 45(3), pages 256-288, 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. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," 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(3), pages 1605-1634, September.
    2. Yaojie Yue & Jian Li & Xinyue Ye & Zhiqiang Wang & A-Xing Zhu & Jing-ai Wang, 2015. "An EPIC model-based vulnerability assessment of wheat subject to drought," 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. 78(3), pages 1629-1652, September.
    3. David Strömberg, 2007. "Natural Disasters, Economic Development, and Humanitarian Aid," Journal of Economic Perspectives, American Economic Association, vol. 21(3), pages 199-222, Summer.
    4. Hao Guo & Xingming Zhang & Fang Lian & Yuan Gao & Degen Lin & Jing’ai Wang, 2016. "Drought Risk Assessment Based on Vulnerability Surfaces: A Case Study of Maize," Sustainability, MDPI, vol. 8(8), pages 1-22, August.
    5. Christian Geiß & Hannes Taubenböck, 2013. "Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap," 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. 68(1), pages 7-48, August.
    6. Z. Popova & M. Ivanova & D. Martins & L. Pereira & K. Doneva & V. Alexandrov & M. Kercheva, 2014. "Vulnerability of Bulgarian agriculture to drought and climate variability with focus on rainfed maize systems," 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 865-886, November.
    7. Cui, Yi & Jiang, Shangming & Jin, Juliang & Ning, Shaowei & Feng, Ping, 2019. "Quantitative assessment of soybean drought loss sensitivity at different growth stages based on S-shaped damage curve," Agricultural Water Management, Elsevier, vol. 213(C), pages 821-832.
    8. Guoqiang Shen & Long Zhou & Yao Wu & Zhiming Cai, 2018. "A Global Expected Risk Analysis of Fatalities, Injuries, and Damages by Natural Disasters," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    9. Zhu, Xiufang & Xu, Kun & Liu, Ying & Guo, Rui & Chen, Lingyi, 2021. "Assessing the vulnerability and risk of maize to drought in China based on the AquaCrop model," Agricultural Systems, Elsevier, vol. 189(C).
    10. José Barredo, 2007. "Major flood disasters in Europe: 1950–2005," 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. 42(1), pages 125-148, July.
    11. Burgherr, Peter & Hirschberg, Stefan, 2008. "Severe accident risks in fossil energy chains: A comparative analysis," Energy, Elsevier, vol. 33(4), pages 538-553.
    12. Huifang Sun & Yaoguo Dang & Wenxin Mao, 2019. "Identifying key factors of regional agricultural drought vulnerability using a panel data grey combined method," 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. 98(2), pages 621-642, September.
    13. Peng Su & Shiqi Li & Jing’ai Wang & Fenggui Liu, 2021. "Vulnerability Assessment of Maize Yield Affected by Precipitation Fluctuations: A Northeastern United States Case Study," Land, MDPI, vol. 10(11), pages 1-15, November.
    14. Dapeng Huang & Renhe Zhang & Zhiguo Huo & Fei Mao & Youhao E & Wei Zheng, 2012. "An assessment of multidimensional flood vulnerability at the provincial scale in China based on the DEA method," 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. 64(2), pages 1575-1586, November.
    15. Viet-Ha Nhu & Ataollah Shirzadi & Himan Shahabi & Sushant K. Singh & Nadhir Al-Ansari & John J. Clague & Abolfazl Jaafari & Wei Chen & Shaghayegh Miraki & Jie Dou & Chinh Luu & Krzysztof Górski & Binh, 2020. "Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms," IJERPH, MDPI, vol. 17(8), pages 1-30, April.
    16. Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," 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. 33(1), pages 1-21, September.
    17. Jun Wang & Zhenlou Chen & Shiyuan Xu & Beibei Hu, 2013. "Medium-scale natural disaster risk scenario analysis: a case study of Pingyang County, Wenzhou, 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. 66(2), pages 1205-1220, March.
    18. Jolanta Kryspin-Watson & John Pollner & Sonja Nieuwejaar, 2008. "Climate Change Adaptation in Europe and Central Asia," World Bank Publications - Reports 25985, The World Bank Group.
    19. Shamsuddin Shahid & Houshang Behrawan, 2008. "Drought risk assessment in the western part of Bangladesh," 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. 46(3), pages 391-413, September.
    20. Fatemeh Jalayer & Raffaele Risi & Francesco Paola & Maurizio Giugni & Gaetano Manfredi & Paolo Gasparini & Maria Topa & Nebyou Yonas & Kumelachew Yeshitela & Alemu Nebebe & Gina Cavan & Sarah Lindley , 2014. "Probabilistic GIS-based method for delineation of urban flooding risk hotspots," 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. 73(2), pages 975-1001, September.

    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:wsi:cjuesx:v:06:y:2018:i:01:n:s2345748118500033. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/cjues/cjues.shtml .

    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.