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Basu

applying both the Cobb–Douglas production function Availability of data
and panel fixed effects regression, this study measures
production losses across multiple time periods and The data underlying this study are not available due to
compares affected and unaffected farmers. This confidentiality or privacy restrictions.
methodological approach provides a more detailed and
time-sensitive understanding of the impact of cyclones References
on rice farming compared to earlier studies based on
single time points or aggregated data. The findings 1. Chowdhury TJ, Arbon P, Gebbie KM, Muller RT, Kako M,
show that farmers affected by the cyclones suffered Steenkamp M. Lived-experience of women’s well-being
in the cyclone shelters of coastal Bangladesh. Prehosp
significant production losses, with reductions in rice Disaster Med. 2022;37(4):437-443.
output reaching up to 49% during the cyclone season. doi: 10.1017/s1049023x2200070x
Specifically, Cyclone Amphan caused a 38% rice 2. Lumbroso D, Suckall N, Nicholls RJ, White KD.
production loss in Khulna and a 26% loss in Satkhira, Enhancing resilience to coastal flooding from severe
with an average reduction of 30% across both districts. storms in the USA: International lessons. Nat Hazards
Additionally, Cyclone Bulbul led to a 45% production Earth Syst Sci. 2017;17(8):1357-1373.
loss in Khulna and a 38% loss in Satkhira, resulting doi: 10.5194/nhess-17-1357-2017
in an average loss of 37% for both regions. Farmers 3. Subhani R, Saqib SE, Rahman MA, Ahmad, Pradit S.
who depend entirely on agriculture, had lower levels Impact of cyclone yaas 2021 aggravated by COVID-19
of education, or lived in smaller households were pandemic in the Southwest coastal zone of Bangladesh.
Sustainability. 2021;13(23):13324.
more likely to experience higher financial losses. To doi: 10.3390/su132313324
mitigate these losses, targeted interventions are needed 4. Shubham K, Lal P, Kumar A. Influence of super
at both the household and policy levels. Promoting cyclone “amphan” in the indian subcontinent amid
livelihood diversification beyond agriculture can reduce COVID-19 pandemic. Remote Sens Earth Syst Sci.
dependence on single-crop income sources and enhance 2021;4(1-2):96-103.
resilience to climate shocks. Investments in agricultural doi: 10.1007/s41976-021-00048-z
extension services, early warning systems, and the 5. Nowreen S, Mohiuddin M. An assessment on application
development of climate-resilient rice varieties can of indigenous knowledge as disaster risk reduction
improve farmers’ preparedness and recovery capacity. strategies in Kutubdia, cox’s bazaar, Bangladesh. Dhaka
Future research should consider extending the time Univ J Sci. 2017;65(2):125-131.
doi: 10.3329/dujs.v65i2.54520
frame and incorporating other farming systems and 6. Nawaz S, Kabir MH, Hossen N. Role of government
occupational groups to enhance the general relevance and non-governmental organisations (NGOs) in
of the findings and better inform climate adaptation cyclone recovery in Bangladesh. Int J Disaster Manag.
policies aimed at safeguarding food security and rural 2022;5(1):45-66.
livelihoods in disaster-prone regions. doi: 10.24815/ijdm.v5i1.25189
7. Mallick B, Ahmed B, Vogt J. Living with the risks of
Acknowledgments cyclone disasters in the South-Western Coastal Region
of Bangladesh. Environments. 2017;4(1):13.
None. doi: 10.3390/environments4010013
8. Chiba Y, Sivapuram Venkata Rama Krishna P, Islam MA,
Funding Akber MA. Priority practices for addressing non-
economic loss and damages caused by cyclones
None. in Bangladesh. Int J Disaster Resil Built Environ.
2018;9(4/5):333-347.
doi: 10.1108/ijdrbe-11-2017-0061
Conflict of interest 9. Biswas JC, Maniruzzaman M, Haque M, et al. Extreme

climate events and fish production in Bangladesh.
The author declares no competing interests. Environ Nat Resour Res. 2018;9(1):1.
doi: 10.5539/enrr.v9n1p1
Author contributions 10. Farukh MA, Hossen M, Ahmed SU. Impact of extreme
cyclone events on coastal agriculture in Bangladesh.
This is a single-authored article. Progress Agric. 2019;30:33-41.

Volume 22 Issue 4 (2025) 52 doi: 10.36922/AJWEP025100063