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Cyclone-Induced Disaster Loss Reduction by Social Media: A Case Study on Cyclone Amphan in Koyra Upazila, Khulna District, Bangladesh

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  • S M Nadim Sultan

    (International Economic Development Program, Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima 739-8529, Japan
    Bangladesh Betar, Ministry of Information and Broadcasting, Dhaka 1207, Bangladesh)

  • Keshav Lall Maharjan

    (International Economic Development Program, Graduate School of Humanities and Social Sciences, Hiroshima University, Higashi-Hiroshima 739-8529, Japan)

Abstract

This study aims to examine the role of social media use in reducing household cyclone-induced disaster loss by obtaining warning and preparedness information. Data were collected following the aftermath of cyclone Amphan in affected households of the Koyra sub-district, Khulna district of Bangladesh using random sampling. Data from 150 households using only traditional media and 150 from those using both social and traditional media were collected through semi-structured questionnaires. Using propensity score matching, it was found that households using both social media and traditional media were able to reduce loss by more than 47,494.31 Bangladeshi Taka compared to households using traditional media. Moreover, households using both media received more important timely information than households using only traditional media. This helped them to work more efficiently and timely, such as cutting ripe crops from fields and keeping them in a safe place, taking domestic animals and poultry to the nearest safe places, putting higher fences using necessary material around ponds to prevent fish being washed away, and so on, to reduce cyclone-induce disaster loss. For obtaining information, problems coastal people faced included less internet bandwidth, the absence of a unified Facebook page and a common YouTube channel, and rumors. Possible solutions for these problems, stated by the respondents, were government-managed free internet before cyclones, a single Facebook page and a single YouTube channel for this purpose. Thus, this research shows social media as a good tool for reducing cyclone-induced disaster loss in Bangladesh coastal areas.

Suggested Citation

  • S M Nadim Sultan & Keshav Lall Maharjan, 2022. "Cyclone-Induced Disaster Loss Reduction by Social Media: A Case Study on Cyclone Amphan in Koyra Upazila, Khulna District, Bangladesh," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13909-:d:953798
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    References listed on IDEAS

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    1. Yates, Dave & Paquette, Scott, 2011. "Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake," International Journal of Information Management, Elsevier, vol. 31(1), pages 6-13.
    2. Lori Pennington-Gray & Kiki Kaplanidou & Ashley Schroeder, 2013. "Drivers of social media use among African Americans in the event of a crisis," 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(1), pages 77-95, March.
    3. Savage, Scott J. & Waldman, Donald, 2005. "Broadband Internet access, awareness, and use: Analysis of United States household data," Telecommunications Policy, Elsevier, vol. 29(8), pages 615-633, September.
    4. Xiangyang Guan & Cynthia Chen, 2014. "Using social media data to understand and assess disasters," 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 837-850, November.
    5. Masud Rana & Keshav Lall Maharjan, 2022. "Participation of Brinjal Farmers in Large and Small Wholesale Markets: Factors Influencing Farmers’ Decisions and Impact on Producers’ Prices," Sustainability, MDPI, vol. 14(4), pages 1-20, February.
    6. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    7. Masaood Moahid & Ghulam Dastgir Khan & Yuichiro Yoshida & Niraj Prakash Joshi & Keshav Lall Maharjan, 2021. "Agricultural Credit and Extension Services: Does Their Synergy Augment Farmers’ Economic Outcomes?," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
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    1. Tania Nasrin & Mohd Ramiz & Md Nawaj Sarif & Mohd Hashim & Masood Ahsan Siddiqui & Lubna Siddiqui & Sk Mohibul & Sakshi Mankotia, 2023. "Modeling of impact assessment of super cyclone Amphan with machine learning algorithms in Sundarban Biosphere Reserve, India," 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. 117(2), pages 1945-1968, June.

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