IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i9p1614-d229290.html
   My bibliography  Save this article

Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA

Author

Listed:
  • Xiaobing Yu

    (Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science & Technology, Nanjing 210044, China
    School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China
    Silicon Lake College, Kunshan 215332, China)

  • Hong Chen

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Chenliang Li

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

Abstract

The Belt and Road Initiative involves many countries and areas. As the introducer, China plays a key role in the initiative. However, the coastal areas in China have frequently been hit by typhoons that lead to huge casualties and economic losses. In order to reduce damages caused by natural disasters, this paper selected the coastal regions of the 21st Century Maritime Silk Road as the study areas, specifically Shanghai, Zhejiang, Guangdong, Fujian, and Hainan, to estimate the vulnerability to typhoon disasters based on the historical data about typhoon disasters and the super-efficiency data envelopment analysis (DEA) evaluation model. Although Shanghai is a low-vulnerable region, it needs to pay close attention to the risk of typhoon disasters due to the outstanding economic influence. In addition, it was found that the vulnerability to typhoons in Zhejiang, Guangdong, and Hainan showed a dramatic fluctuation from 2011 to 2016, and Zhejiang’s vulnerability in 2013 was extremely high compared to other years. Meanwhile, Guangdong and Hainan are highly vulnerable areas, suffering from typhoon disasters heavily. Moreover, the vulnerability to typhoons for Fujian is relatively low.

Suggested Citation

  • Xiaobing Yu & Hong Chen & Chenliang Li, 2019. "Evaluate Typhoon Disasters in 21st Century Maritime Silk Road by Super-Efficiency DEA," IJERPH, MDPI, vol. 16(9), pages 1-10, May.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:9:p:1614-:d:229290
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/9/1614/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/9/1614/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Du, Julan & Zhang, Yifei, 2018. "Does One Belt One Road initiative promote Chinese overseas direct investment?," China Economic Review, Elsevier, vol. 47(C), pages 189-205.
    2. 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.
    3. Mingze Li & Jun Lv & Xin Chen & Nan Jiang, 2015. "Provincial evaluation of vulnerability to geological disaster in China and its influencing factors: a three-stage DEA-based 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. 79(3), pages 1649-1662, December.
    4. Terje Aven, 2011. "On Some Recent Definitions and Analysis Frameworks for Risk, Vulnerability, and Resilience," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 515-522, April.
    5. Reinhard Mechler & Laurens Bouwer, 2015. "Understanding trends and projections of disaster losses and climate change: is vulnerability the missing link?," Climatic Change, Springer, vol. 133(1), pages 23-35, November.
    6. Jichuan Sheng, 2017. "Effect of Uncertainties in Estimated Carbon Reduction from Deforestation and Forest Degradation on Required Incentive Payments in Developing Countries," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    7. De Silva, M.M.G.T. & Kawasaki, Akiyuki, 2018. "Socioeconomic Vulnerability to Disaster Risk: A Case Study of Flood and Drought Impact in a Rural Sri Lankan Community," Ecological Economics, Elsevier, vol. 152(C), pages 131-140.
    8. Qing Deng & Yi Liu & Hui Zhang & Xiaolong Deng & Yefeng Ma, 2016. "A new crowdsourcing model to assess disaster using microblog data in typhoon Haiyan," 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(2), pages 1241-1256, November.
    9. Dejian Yu, 2015. "Intuitionistic fuzzy theory based typhoon disaster evaluation in Zhejiang Province, China: a comparative perspective," 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. 75(3), pages 2559-2576, February.
    10. 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, December.
    11. Hyun Kim & David Marcouiller, 2015. "Considering disaster vulnerability and resiliency: the case of hurricane effects on tourism-based economies," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 54(3), pages 945-971, May.
    12. Mario Miranda & Dmitry V. Vedenov, 2001. "Innovations in Agricultural and Natural Disaster Insurance," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 650-655.
    13. Joern Birkmann & Susan Cutter & Dale Rothman & Torsten Welle & Matthias Garschagen & Bas Ruijven & Brian O’Neill & Benjamin Preston & Stefan Kienberger & Omar Cardona & Tiodora Siagian & Deny Hidayati, 2015. "Scenarios for vulnerability: opportunities and constraints in the context of climate change and disaster risk," Climatic Change, Springer, vol. 133(1), pages 53-68, November.
    14. Mei Xue & Patrick T. Harker, 2002. "Note: Ranking DMUs with Infeasible Super-Efficiency DEA Models," Management Science, INFORMS, vol. 48(5), pages 705-710, May.
    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. Yajun Wang & Fang Xiao & Lijie Zhang & Zaiwu Gong, 2021. "Research on Evaluation of Meteorological Disaster Governance Capabilities in Mainland China Based on Generalized λ-Shapley Choquet Integral," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    2. Xixi Du & Yi Qin & Chunbo Huang, 2022. "Status and Prospect of Ecological Environment in the Belt and Road Initiative Regions," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    3. Yen, Barbara T.H. & Li, Jun-Sheng, 2022. "Route-based performance evaluation for airlines – A metafrontier data envelopment analysis approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).

    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. 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.
    2. Zijiang Yang & Xiaogang Wang & Dongming Sun, 2010. "Using the bootstrap method to detect influential DMUs in data envelopment analysis," Annals of Operations Research, Springer, vol. 173(1), pages 89-103, January.
    3. Cheng, Gang & Zervopoulos, Panagiotis, 2012. "A proxy approach to dealing with the infeasibility problem in super-efficiency data envelopment analysis," MPRA Paper 42064, University Library of Munich, Germany.
    4. Zhao, Zhe & Bai, Yuping & Wang, Guofeng & Chen, Jiancheng & Yu, Jiangli & Liu, Wei, 2018. "Land eco-efficiency for new-type urbanization in the Beijing-Tianjin-Hebei Region," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 19-26.
    5. Cheng, Gang & Qian, Zhenhua & Zervopoulos, Panagiotis, 2011. "Overcoming the infeasibility of super-efficiency DEA model: a model with generalized orientation," MPRA Paper 31991, University Library of Munich, Germany.
    6. Chen, Junlin & Zhang, Ying & Wang, Wenqing & Yang, Can & Li, Jiayue & Wu, Yulun, 2022. "The efficiency of consumption poverty alleviation and improvement measures in Guizhou, China," Energy, Elsevier, vol. 248(C).
    7. Tingting Yang & Xuefeng Guan & Yuehui Qian & Weiran Xing & Huayi Wu, 2019. "Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    8. de Sousa, Maria da Conceição Sampaio & Cribari-Neto, Francisco & Stosic, Borko D., 2005. "Explaining DEA Technical Efficiency Scores in an Outlier Corrected Environment: The Case of Public Services in Brazilian Municipalities," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 25(2), November.
    9. An, Qingxian & Tao, Xiangyang & Chen, Xiaohong, 2023. "Nested frontier-based best practice regulation under asymmetric information in a principal–agent framework," European Journal of Operational Research, Elsevier, vol. 306(1), pages 269-285.
    10. Ya Chen & Yongjun Li & Liang Liang & Huaqing Wu, 2019. "An extension on super slacks-based measure DEA approach," Annals of Operations Research, Springer, vol. 278(1), pages 101-121, July.
    11. Nahra, Tammie A. & Mendez, David & Alexander, Jeffrey A., 2009. "Employing super-efficiency analysis as an alternative to DEA: An application in outpatient substance abuse treatment," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1097-1106, August.
    12. Xuming Wang & Xianrui Yu & Xiaobing Yu, 2022. "Flood Disaster Risk Assessment Based on DEA Model in Southeast Asia along “The Belt and Road”," Sustainability, MDPI, vol. 14(20), pages 1-10, October.
    13. C A K Lovell & A P B Rouse, 2003. "Equivalent standard DEA models to provide super-efficiency scores," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 101-108, January.
    14. Benita, Francisco & Urzúa, Carlos M., 2018. "Efficient creativity in Mexican metropolitan areas," Economic Modelling, Elsevier, vol. 71(C), pages 25-33.
    15. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2014. "An international comparison of educational systems: an application of the global Malmquist-Luenberger index," Working Papers 2014/18, Economics Department, Universitat Jaume I, Castellón (Spain).
    16. Kankana Mukherjee & Subhash C. Ray, 2005. "Technical Efficiency And Its Dynamics In Indian Manufacturing: An Inter State Analysis," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 40(2), pages 101-125, December.
    17. Víctor Giménez García & Diego Prior Jiménez & Emili Tortosa-Ausina & Claudio Thieme, 2016. "Una comparación internacional de la eficiencia de sistemas educativos. Un enfoque dinámico para el periodo 2003-2012," Investigaciones de Economía de la Educación volume 11, in: José Manuel Cordero Ferrera & Rosa Simancas Rodríguez (ed.), Investigaciones de Economía de la Educación 11, edition 1, volume 11, chapter 36, pages 653-670, Asociación de Economía de la Educación.
    18. Yue-Jun Zhang & Yan-Lin Jin & Bo Shen, 2020. "Measuring the Energy Saving and CO2 Emissions Reduction Potential Under China’s Belt and Road Initiative," Computational Economics, Springer;Society for Computational Economics, vol. 55(4), pages 1095-1116, April.
    19. Chiu, Yung-Ho & Chen, Yu-Chuan, 2009. "The analysis of Taiwanese bank efficiency: Incorporating both external environment risk and internal risk," Economic Modelling, Elsevier, vol. 26(2), pages 456-463, March.
    20. Jomthanachai, Suriyan & Wong, Wai-Peng & Soh, Keng-Lin & Lim, Chee-Peng, 2022. "A global trade supply chain vulnerability in COVID-19 pandemic: An assessment metric of risk and resilience-based efficiency of CoDEA method," Research in Transportation Economics, Elsevier, vol. 93(C).

    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:jijerp:v:16:y:2019:i:9:p:1614-:d:229290. 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.