Gender-based Variations in Perception of Flood Impacts- A Micro Study
DOI:
https://doi.org/10.48165/IJEE.2023.59215Keywords:
Gender, Perception, Natural disastersAbstract
An attempt to understand the perception of flood impacts through a gender lens was executed in 2022 in the purposively selected Darbangha district of Bihar as it tops the list of the districts most severely affected by flood in the state. Data from 120 farmers were collected through a focused group discussion and an interview schedule developed specifically for the study. The findings revealed that the maximum percentage of farmers had a medium perception regarding the impact of floods. Variations were seen in the perception of the socio-economic and psychological impact of flood with women perceiving slightly higher than men whereas the opposite was seen for the perception of the environmental impact of the flood where men perceived slightly higher than women. Factors like age, household headship, social participation, decision-making, education, and family size significantly and positively affected the perception women and men had on the impact of the flood. The findings provide an in-depth understanding of the perception of the impact of floods by men and women farmers in the study area which would help the extension agencies and policymakers to plan and design locale-specific preparedness.
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References
Arunachalam, R., & Sasmitha, R. (2020). Awareness and perception on the issues arising out of undesirable pattern of rainfall of the rice farmers. Indian Journal of Extension Education, 56(2), 16-20.
BDSMA. (2022). Bihar Hazard Profile. Government of Bihar. Bharat, B., Chapke, R., & Kammar, S. (2021). Farmers’ perception about climate change and response strategies. Indian Journal of Extension Education, 58(1), 7–11.
Eryýlmaz Türkkan, G., & Hirca, T. (2021). The investigation of flood risk perception as a quantitative analysis from socio-demographic perspective. Natural Hazards, 106(1), 715-733.
Koshti, N. R., Salame, S. P., & Lahariya, K. T. (2019). Construction of index to measure perception of farmer’s towards climate change. Innovation The Research Concept, 4(8), 1-3.
Kumar, V., Cheng, S. Y. C., & Singh, A. K. (2016). Impact of flood on rural population and strategies for mitigation: A case study of Darbhanga district, Bihar state, India. Contemporary Rural Social Work Journal, 8(1), 45-56.
Liu, D., Li, M., Li, Y., & Chen, H. (2022). Assessment of public flood risk perception and influencing factors: An example of Jiaozuo City, China. Sustainability, 14(15), 9475.
National Remote Sensing Centre. (2020). Flood hazard atlas- Bihar: A geospatial approach. Indian Space Research Organisation. Department of Space, Government of India.
Raghuvanshi, R., & Ansari, M. A. (2020). Farmers’ vulnerability to climate change: A study in North Himalayan region of Uttarakhand, India. Indian Journal of Extension Education, 56(4), 1-8.
Shah, A. A., Ajiang, C., Khan, N. A., Alotaibi, B. A., & Tariq, M. A. U. R. (2022). Flood risk perception and its attributes among rural households under developing country conditions: the case of Pakistan. Water, 14(6), 992.
Uddin, M. N., Bokelmann, W., & Dunn, E. S. (2017). Determinants of farmers’ perception of climate change: a case study from the coastal region of Bangladesh. American Journal of Climate Change, 6(1), 151-165.
Van der Linden, S. (2015). The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model. Journal of Environmental Psychology, 41, 112-124.
Wang, Z., Wang, H., Huang, J., Kang, J., & Han, D. (2018). Analysis of the public flood risk perception in a flood-prone city: The case of Jingdezhen city in China. Water, 10(11), 1577.
Whitmarsh, L., & Capstick, S. (2018). Perceptions of climate change. In Psychology and climate change (pp. 13-33). Academic Press. WMO. (2021). Weather-related disasters increase over past 50 years, causing more damage but fewer deaths.
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