Abstract
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.
Similar content being viewed by others
References
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
Ahsan MN, Takeuchi K, Vink K, Warner J (2016) Factors affecting the evacuation decisions of coastal households during Cyclone Aila in Bangladesh. Environ Hazards 15:16–42. https://doi.org/10.1080/17477891.2015.1114912
Alam E, Collins AE (2010) Cyclone disaster vulnerability and response experiences in coastal Bangladesh. Disasters 34:931–954. https://doi.org/10.1111/j.1467-7717.2010.01176.x
Anderson DM, Overpeck JT, Gupta AK (2002) Increase in the Asian southwest monsoon during the past four centuries. Science (80-) 297:596–599. https://doi.org/10.1126/science.1072881
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
Below TB, Mutabazi KD, Kirschke D et al (2012) Can farmers’ adaptation to climate change be explained by socio-economic household-level variables? Glob Environ Chang 22:223–235. https://doi.org/10.1016/j.gloenvcha.2011.11.012
Bradford RA, O’Sullivan JJ, Van Der Craats IM et al (2012) Risk perception - issues for flood management in Europe. Nat Hazards Earth Syst Sci 12:2299–2309. https://doi.org/10.5194/nhess-12-2299-2012
Christian MS, Bradley JC, Wallace JC, Burke MJ (2009) Workplace safety: a meta-analysis of the roles of person and situation factors. J Appl Psychol 94:1103–1127. https://doi.org/10.1037/a0016172
CMFRI (2010) India marine fisheries census 2010. CMFRI, Kochi
Cook AJ, Kerr GN, Moore K (2002) Attitudes and intentions towards purchasing GM food. J Econ Psychol 23:557–572. https://doi.org/10.1016/S0167-4870(02)00117-4
Cutter SL, Boruff BJ, Shirley WL (2003) Social vulnerability to environmental hazards. Soc Sci Q 84:242–261. https://doi.org/10.1111/1540-6237.8402002
Demski C, Capstick S, Pidgeon N et al (2017) Experience of extreme weather affects climate change mitigation and adaptation responses. Clim Chang 140:149–164. https://doi.org/10.1007/s10584-016-1837-4
Deressa TT, Hassan RM, Ringler C et al (2009) Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Glob Environ Chang 19:248–255. https://doi.org/10.1016/j.gloenvcha.2009.01.002
Dow K, Cutter SL (1998) Crying wolf: repeat responses to hurricane evacuation orders. Coast Manag 26:237–252. https://doi.org/10.1080/08920759809362356
Eggert H, Lokina RB (2007) Small-scale fishermen and risk preferences. Mar Resour Econ 22:49–67. https://doi.org/10.1086/mre.22.1.42629535
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 DC
Golden JH, Adams CR (2000) The tornado problem: forecast, warning, and response. Nat Hazards Rev 1:107–118
Griffin MA, Neal A (2000) Perceptions of safety at work: a framework for linking safety climate to safety performance, knowledge, and motivation. J Occup Health Psychol 5:347–358. https://doi.org/10.1037//1076-8998.5.3.347
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.
Haque U, Hashizume M, Kolivras KN et al (2012) Reduced death rates from cyclones in Bangladesh: what more needs to be done? Bull World Health Organ 90:150–156. https://doi.org/10.2471/BLT.11.088302
Hoffmann R, Muttarak R (2017) Learn from the past, prepare for the future: impacts of education and experience on disaster preparedness in the Philippines and Thailand. World Dev 96:32–51. https://doi.org/10.1016/j.worlddev.2017.02.016
Horowitz JK, Lichtenberg E (1993) Insurance, moral hazard, and chemical use in agriculture. Am J Agric Econ 75:926–935. https://doi.org/10.2307/1243980
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, Cambridge
Kim S (2017) Public service motivation, organizational social capital, and knowledge sharing in the Korean public sector. Public Perform Manag Rev 41:1–22. https://doi.org/10.1080/15309576.2017.1358188
Le Dang H, Li E, Bruwer J, Nuberg I (2014) Farmers’ perceptions of climate variability and barriers to adaptation: lessons learned from an exploratory study in Vietnam. Mitig Adapt Strateg Glob Chang 19:531–548. https://doi.org/10.1007/s11027-012-9447-6
Malakar K, Mishra T, Patwardhan A (2018) A framework to investigate drivers of adaptation decisions in marine fishing: evidence from urban, semi-urban and rural communities. Sci Total Environ 637–638:758–770. https://doi.org/10.1016/j.scitotenv.2018.04.429
Mase AS, Gramig BM, Prokopy LS (2017) Climate change beliefs, risk perceptions, and adaptation behavior among Midwestern U.S. crop farmers. Clim Risk Manag 15:8–17. https://doi.org/10.1016/j.crm.2016.11.004
McDonald RI, Chai HY, Newell BR (2015) Personal experience and the “psychological distance” of climate change: an integrative review. J Environ Psychol 44:109–118. https://doi.org/10.1016/j.jenvp.2015.10.003
McEwen L, Hall T, Hunt J et al (2002) Flood warning, warning response and planning control issues associated with caravan parks: the April 1998 floods on the lower Avon floodplain, Midlands region, UK. Appl Geogr 22:271–305. https://doi.org/10.1016/S0143-6228(02)00008-5
Menard SW (2002) Applied logistic regression analysis. Sage Publications, Sage
Mendelsohn R, Emanuel K, Chonabayashi S, Bakkensen L (2012) The impact of climate change on global tropical cyclone damage. Nat Clim Chang 2:205–209. https://doi.org/10.1038/nclimate1357
Mileti D (1995) Factors related to flood warning response. US-Italy Research Workshop on the Hydrometeorology, Impacts, and Management of Extreme Floods, Perugia, pp 1–17
Morss RE, Hayden MH (2010) Storm surge and “certain death”: interviews with Texas coastal residents following hurricane Ike. Weather Clim Soc 2:174–189. https://doi.org/10.1175/2010WCAS1041.1
Nirmale V (2001) Indigenous knowledge in management of marine fisheries in Maharashtra. Dissertation, Central Institute of Fisheries Education
Nyong A, Adesina F, Osman Elasha B (2007) The value of indigenous knowledge in climate change mitigation and adaptation strategies in the African Sahel. Mitig Adapt Strateg Glob Chang 12:787–797. https://doi.org/10.1007/s11027-007-9099-0
Orlove B, Roncoli C, Kabugo M, Majugu A (2010) Indigenous climate knowledge in southern Uganda: the multiple components of a dynamic regional system. Clim Chang 100:243–265. https://doi.org/10.1007/s10584-009-9586-2
Parker DJ, Priest SJ, Tapsell SM (2009) Understanding and enhancing the public’s behavioural response to flood warning information. Meteorol Appl 114:103–114. https://doi.org/10.1002/met
Patt AG, Schröter D (2008) Perceptions of climate risk in Mozambique: implications for the success of adaptation strategies. Glob Environ Chang 18:458–467. https://doi.org/10.1016/j.gloenvcha.2008.04.002
Paul SK (2011) Determinants of evacuation response to cyclone warning in coastal areas of Bangladesh: a comparative study. Orient Geogr 55:57–83
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 15–39
Pelling M, High C (2005) Understanding adaptation: what can social capital offer assessments of adaptive capacity? Glob Environ Chang 15:308–319. https://doi.org/10.1016/j.gloenvcha.2005.02.001
Pfeiffer L, Gratz T (2016) The effect of rights-based fisheries management on risk taking and fishing safety. Proc Natl Acad Sci 113:2615–2620. https://doi.org/10.1073/pnas.1509456113
Phillips BD, Morrow BH (2007) Social science research needs: focus on vulnerable populations, forecasting, and warnings. Nat Hazards Rev 8:61–68
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, Louisiana
Sarkar S, Mehta BS (2010) Income inequality in India: pre- and post-reform periods. Econ Polit Wkly 45:45–55
Sharma U, Patt A (2012) Disaster warning response: the effects of different types of personal experience. Nat Hazards 60:409–423. https://doi.org/10.1007/s11069-011-0023-2
Sharma U, Patwardhan A, Parthasarathy D (2009) Assessing adaptive capacity to tropical cyclones in the east coast of India: a pilot study of public response to cyclone warning information. Clim Chang 94:189–209. https://doi.org/10.1007/s10584-009-9552-z
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
Sherman-Morris K (2005) Tornadoes, television and trust—a closer look at the influence of the local weathercaster during severe weather. Environ Hazards 6:201–210. https://doi.org/10.1016/j.hazards.2006.10.002
Siegrist M, Gutscher H, Earle TC (2005) Perception of risk: the influence of general trust, and general confidence. J Risk Res 8:145–156. https://doi.org/10.1080/1366987032000105315
Sinn H-W (1996) Social insurance, incentives and risk taking. Int Tax Public Financ 3:259–280. https://doi.org/10.1007/BF00418944
Smith VH, Goodwin BK (1996) Crop insurance, moral hazard, and agricultural chemical use. Am J Agric Econ 78:428. https://doi.org/10.2307/1243714
Smith MD, Wilen JE (2005) Heterogeneous and correlated risk preferences in commercial fishermen: the perfect storm dilemma. J Risk Uncertain 31:53–71. https://doi.org/10.1007/s11166-005-2930-7
Spence A, Poortinga W, Butler C, Pidgeon NF (2011) Perceptions of climate change and willingness to save energy related to flood experience. Nat Clim Chang 1:46–49. https://doi.org/10.1038/nclimate1059
Thomas DSG, Twyman C, Osbahr H, Hewitson B (2007) Adaptation to climate change and variability: farmer responses to intra-seasonal precipitation trends in South Africa. Clim Chang 83:301–322. https://doi.org/10.1007/s10584-006-9205-4
Tucker CM, Eakin H, Castellanos EJ (2010) Perceptions of risk and adaptation: coffee producers, market shocks, and extreme weather in Central America and Mexico. Glob Environ Chang 20:23–32. https://doi.org/10.1016/j.gloenvcha.2009.07.006
Widén-Wulff G, Ginman M (2004) Explaining knowledge sharing in organizations through the dimensions of social capital. J Inf Sci 30:448–458. https://doi.org/10.1177/0165551504046997
Wolf J, Adger WN, Lorenzoni I et al (2010) Social capital, individual responses to heat waves and climate change adaptation: an empirical study of two UK cities. Glob Environ Chang 20:44–52. https://doi.org/10.1016/j.gloenvcha.2009.09.004
Yohe G, Tol RSJ (2002) Indicators for social and economic coping capacity- moving toward a working definition of adaptive capacity. Glob Environ Chang 12:25–40
Young IR, Zieger S, Babanin AV (2011) Global trends in wind speed and wave height. Science (80-) 332:451–455. https://doi.org/10.1126/science.1197219
Acknowledgements
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.
Funding
This work is supported by the Department of Science and Technology, Government of India [11DST078].
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
ESM 1
(PDF 520 kb)
Rights and permissions
About this article
Cite this article
Malakar, K., Mishra, T. & Patwardhan, A. Drivers of response to extreme weather warnings among marine fishermen. Climatic Change 150, 417–431 (2018). https://doi.org/10.1007/s10584-018-2284-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10584-018-2284-1