Drivers of response to extreme weather warnings among marine fishermen
Extreme weather events, such as storms and cyclones, pose dire occupational hazards in marine fishing. Thus, warnings against such events can reduce risks to the life and property of fishing communities. This study is an attempt to assess the factors driving fishermen’s decision to respond to weather warnings. Mixed methods, such as exploratory fieldwork, literature review, and focus group discussions, helped in identifying the available weather warnings and hypothesizing the probable factors influencing response to the warnings in the marine fishing community in Maharashtra, India. The plausible drivers of response include perceived potential risk, credibility of the warning and its disseminators, community social capital, and other demographic characteristics. Data from a household survey, comprising 601 fishermen, is used to empirically test the hypotheses. The results suggest that trust in the source and disseminator of the warning is related to higher response rates. There is heterogeneity in the role of community social capital as a motivator to respond. Further, fishermen perceiving traditional information to be more reliable are less likely to respond frequently to the warnings. The findings of the study are relevant for designing interventions which can prompt high response rates to weather warnings from fishermen.
We are thankful to the participants of the group discussions and survey for their time and enthusiasm. We would also like to thank Mr. Dineshkumar Singh (Tata Consultancy Services - Innovation Lab Mumbai) for his help in identifying the weather warnings available to the community.
This work is supported by the Department of Science and Technology, Government of India [11DST078].
- Agrawal A (1995) Dismantling the divide between indigenous and scientific knowledge. Dev Chang 26:413–439. https://doi.org/10.1111/j.1467-7660.1995.tb00560.x CrossRefGoogle Scholar
- Anderson-Berry L, Achilles T, Panchuk S et al (2018) Sending a message: how significant events have influenced the warnings landscape in Australia. Int J Disaster Risk Reduct. https://doi.org/10.1016/j.ijdrr.2018.03.005
- CMFRI (2010) India marine fisheries census 2010. CMFRI, KochiGoogle Scholar
- Fan S, Chen-Kang C, Mukherjee A (2005) Rural and urban dynamics and poverty: evidence from China and India. FCND discussion papers 196, International Food Policy Research Institute (IFPRI), Washington DCGoogle Scholar
- Grothmann T, Patt A (2005) Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob Environ Chang 15:199–213. https://doi.org/10.1016/j.gloenvcha.2005.01.002
- H. John Heinz Center for Science Economics and the Environment (2000) The hidden costs of coastal hazards: implications for risk assessment and mitigation. Island Press, Washington, D.C.Google Scholar
- IPCC (2012) Managing the risks of extreme events and disasters to advance climate change adaptation. A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge University Press, CambridgeGoogle Scholar
- Mileti D (1995) Factors related to flood warning response. US-Italy Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods, Perugia, pp 1–17Google Scholar
- Nirmale V (2001) Indigenous knowledge in management of marine fisheries in Maharashtra. Dissertation, Central Institute of Fisheries EducationGoogle Scholar
- Paul SK (2011) Determinants of evacuation response to cyclone warning in coastal areas of Bangladesh: a comparative study. Orient Geogr 55:57–83Google Scholar
- Paul SK, Routray JK (2013) An analysis of the causes of non-responses to cyclone warnings and the use of indigenous knowledge for cyclone forecasting in Bangladesh. In: Filho WL (ed) Climate change and disaster risk management, climate change management. Springer, Berlin, pp 15–39Google Scholar
- Powell SW, O’Hair HD (2008) Communicating weather information to the public: people’s reactions and understandings of weather information and terminology. In: Preprints, 3rd Symposium on Policy and Socioeconomic Impacts. American Meteorological Society, New Orleans, LouisianaGoogle Scholar
- Sarkar S, Mehta BS (2010) Income inequality in India: pre- and post-reform periods. Econ Polit Wkly 45:45–55Google Scholar
- Sharma U, Patwardhan A, Patt AG (2013) Education as a determinant of response to cyclone warnings: evidence from coastal zones in India. Ecol Soc 18. https://doi.org/10.5751/ES-05439-180218