Abstract
Fish farmers need to take into account many factors, including climate-related risks, when making decisions to invest in stocking ponds or cages in rivers. Officials, experts, and other fish farmers try to influence these decisions by communicating information about risks verbally or using text messages. Recurrent mass mortality events associated with droughts and floods suggest some communication efforts have been ineffective. Theories of risk communication make different predictions about what elements make messages influential. The purpose of this study was to improve understanding of the potential influence of inserting tactical messages into a communication text on the decision behavior of fish farmers with respect to climate-related risks. Experiments were carried out on hand-held tablets with 1050 fish farmers as subjects. Fish farmers were asked to imagine they faced a risk of drought, water shortage, flood, or increasing risks of drought in a drying climate. They were also given a plausible response measure that would require some investment, and then asked to indicate how likely they would adopt that measure. Farmers’ intentions to take risk reduction actions in long-term adaptation increased when the message they received re-affirmed that they were susceptible to the threat, an impact was likely or that the response to the risk was an effective measure. For shorter-term risk reduction measures, the effect of re-affirming response efficacy was to suppress intentions to act. This study found no evidence that appeals to fear, guilt, or anxiety emotions work; references to social norms, behavioral control, and benefit versus cost arguments also failed to increase intentions to act. The findings of this study supported some propositions of common risk communication theories but not others. The methods and findings are useful for improving the design of communications aimed at informing farmers about climate-related risks.
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References
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Decis Process 50:179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Ajzen I (2002) Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J Appl Soc Psychol 32:665–683. https://doi.org/10.1111/j.1559-1816.2002.tb00236.x
Anderson JL, Asche F, Garlock T, Chu J (2017) Aquaculture: its role in the future of food. In: World Agricultural Resources and Food Security :159–173. doi:https://doi.org/10.1108/S1574-871520170000017011
Arbuckle JG Jr, Hobbs J, Loy A, Morton LW, Prokopy LS, Tyndall J (2014) Understanding corn belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation. J Soil Water Conserv 69:505–516. https://doi.org/10.2489/jswc.69.6.505
Armitage CJ, Conner M (2001) Efficacy of the theory of planned behaviour: a meta-analytic review. Br J Soc Psychol 40:471–499. https://doi.org/10.1348/014466601164939
Breakwell GM (2010) Models of risk construction: some applications to climate change. Wiley Interdiscip Rev Clim Chang 1:857–870. https://doi.org/10.1002/wcc.74
Cliffe N, Stone R, Coutts J, Reardon-Smith K, Mushtaq S (2016) Developing the capacity of farmers to understand and apply seasonal climate forecasts through collaborative learning processes. J Agric Educ Ext 22:311–325. https://doi.org/10.1080/1389224X.2016.1154473
Crane TA, Roncoli C, Paz J, Breuer N, Broad K, Ingram KT, Hoogenboom G (2010) Forecast skill and farmers’ skills: seasonal climate forecasts and agricultural risk management in the southeastern United States. Weather Clim Soc 2:44–59. https://doi.org/10.1175/2009WCAS1006.1
Crano WD, Prislin R (2006) Attitudes and persuasion. Annu Rev Psychol 57:345–374. https://doi.org/10.1146/annurev.psych.57.102904.190034
de Boer J, Botzen WJW, Terpstra T (2016) Flood risk and climate change in the Rotterdam area, The Netherlands: enhancing citizen’s climate risk perceptions and prevention responses despite skepticism. Reg Environ Chang 16:1613–1622. https://doi.org/10.1007/s10113-015-0900-4
Griffin RJ, Dunwoody S, Neuwirth K (1999) Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors. Environ Res 80:S230–S245. https://doi.org/10.1006/enrs.1998.3940
Hamilton-Webb A, Manning L, Naylor R, Conway J (2017) The relationship between risk experience and risk response: a study of farmers and climate change. J Risk Res 20:1379–1393. https://doi.org/10.1080/13669877.2016.1153506
Handisyde N, Telfer TC, Ross LG (2017) Vulnerability of aquaculture-related livelihoods to changing climate at the global scale. Fish Fish 18:466–488. https://doi.org/10.1111/faf.12186
Holt C, Laury S (2002) Risk aversion and incentive effects. Am Econ Rev 92:1644–1655. https://doi.org/10.1257/000282802762024700
Kellens W, Terpstra T, De Maeyer P (2013) Perception and communication of flood risks: a systematic review of empirical research. Risk Anal 33:24–49. https://doi.org/10.1111/j.1539-6924.2012.01844.x
Lebel L, Lebel P (2016) Emotions, attitudes, and appraisal in the management of climate-related risks by fish farmers in Northern Thailand. J Risk Res 1–19. https://doi.org/10.1080/13669877.2016.1264450
Lebel P, Whangchai N, Chitmanat C, Lebel L (2015a) Climate risk management in river-based Tilapia cage culture in northern Thailand. Int J Clim Change Strategies Manage 7:476–498. https://doi.org/10.1108/IJCCSM-01-2014-0018
Lebel P, Whangchai N, Chitmanat C, Lebel L (2015b) Risk of impacts from extreme weather and climate in river-based Tilapia cage culture in Northern Thailand. Int J Glob Warm 8:534–554. https://doi.org/10.1504/IJGW.2015.073054
Lebel P, Whangchai N, Chitmanat C, Promya J, Lebel L (2015c) Perceptions of climate-related risks and awareness of climate change of fish cage farmers in northern Thailand. Risk Manage 17:1–22. https://doi.org/10.1057/rm.2015.4
Lebel L, Lebel P, Lebel B (2016a) Impacts, perception and management of climate-related risks to cage aquaculture in the reservoirs of northern Thailand. Environ Manag 58:931–945. https://doi.org/10.1007/s00267-016-0764-5
Lebel P, Sriyasak P, Kallayanamitra C, Duangsuwan C, Lebel L (2016b) Learning about climate-related risks: decisions of Northern Thailand fish farmers in a role-playing simulation game. Reg Environ Chang 16:1481–1494. https://doi.org/10.1007/s10113-015-0880-4
Lebel L, Lebel P, Chitmanat C, Uppanunchai A, Apirumanekul C (2018) Managing the risks from the water-related impacts of extreme weather and uncertain climate change on inland aquaculture in Northern Thailand. Water Int 43:257–280. https://doi.org/10.1080/02508060.2017.1416446
Lerner JS, Keltner D (2000) Beyond valence: toward a model of emotion-specific influences on judgement and choice. Cognit Emot 14:473–493. https://doi.org/10.1080/026999300402763
Lindell MK, Perry RW (2012) The protective action decision model: theoretical modifications and additional evidence. Risk Anal 32:616–632. https://doi.org/10.1111/j.1539-6924.2011.01647.x
Mandrik CA, Bao Y (2005) Exploring the concept and measurement of general risk aversion. In: Menon G, Rao AR (eds) Advances in consumer research, vol 32. ACR, Duluth, pp 531–539
Morton TA, Rabinovich A, Marshall D, Bretschneider P (2011) The future that may (or may not) come: how framing changes responses to uncertainty in climate change communications. Glob Environ Chang 21:103–109. https://doi.org/10.1016/j.gloenvcha.2010.09.013
Moser S (2014) Communicating adaptation to climate change: the art and science of public engagement when climate change comes home. Wiley Interdiscip Rev Clim Chang 5:337–358. https://doi.org/10.1002/wcc.276
Moser S (2016) Reflections on climate change communication research and practice in the second decade of the 21st century: what more is there to say? Wiley Interdiscip Rev Clim Chang 7:345–369. https://doi.org/10.1002/wcc.403
Niles MT, Lubell M, Brown M (2015) How limiting factors drive agricultural adaptation to climate change. Agric Ecosyst Environ 200:178–185. https://doi.org/10.1016/j.agee.2014.11.010
Paul J, Modi A, Patel J (2016) Predicting green product consumption using theory of planned behavior and reasoned action. J Retail Consum Serv 29:123–134. https://doi.org/10.1016/j.jretconser.2015.11.006
Rabinovich A, Morton TA, Birney ME (2012) Communicating climate science: the role of perceived communicator’s motives. J Environ Psychol 32:11–18. https://doi.org/10.1016/j.jenvp.2011.09.002
Rogers RW (1975) A protection motivation theory of fear appeals and attitude change. J Psychol 91:93–114. https://doi.org/10.1080/00223980.1975.9915803
Ruiter RAC, Abraham C, Kok G (2001) Scary warnings and rational precautions: a review of the psychology of fear appeals. Psychol Health 16:613–630. https://doi.org/10.1080/08870440108405863
Sheeran P, Harris PR, Epton T (2014) Does heightening risk appraisals change people’s intentions and behavior? A meta-analysis of experimental studies. Psychol Bull 140:511–543. https://doi.org/10.1037/a0033065
Sjöberg L (2007) Emotions and risk perception. Risk Manage 9:223–237. https://doi.org/10.1057/palgrave.rm.8250038
Slovic P (1999) Trust, emotion, sex, politics, and science: surveying the risk-assessment battlefield. Risk Anal 19:689–701. https://doi.org/10.1111/j.1539-6924.1999.tb00439.x
Small B, Brown P, Montes de Oca Munguia O (2016) Values, trust, and management in New Zealand agriculture. Int J Agric Sustain 14:282–306. https://doi.org/10.1080/14735903.2015.1111571
Sniehotta FF, Presseau J, Araújo-Soares V (2014) Time to retire the theory of planned behaviour. Health Psychol Rev 8:1–7. https://doi.org/10.1080/17437199.2013.869710
Sriyasak P, Chitmanat C, Whangchai N, Promya J, Lebel L (2015) Effect of water de-stratification on dissolved oxygen and ammonia in tilapia ponds in Northern Thailand. Int Aquat Res 7:287–299. https://doi.org/10.1007/s40071-015-0113-y
Witte K (1992) Putting the fear back into fear appeals: the extended parallel process model. Commun Monogr 59:225–249. https://doi.org/10.1080/03637759209376276
Witte K, Allen M (2000) A meta-analysis of fear appeals: implications for effective public health campaigns. Health Educ Behav 27:591–615. https://doi.org/10.1177/109019810002700506
Acknowledgements
Thanks to Ruth Beilin and Helena Bender at the University of Melbourne for the feedback on an earlier draft of this manuscript.
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The work was carried out and completed with the aid of grants from the International Development Research Centre, Ottawa, Canada, as a contribution to the AQUADAPT projects.
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Editor:Tony Weir.
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Lebel, L., Lebel, P., Lebel, B. et al. The effects of tactical message inserts on risk communication with fish farmers in Northern Thailand. Reg Environ Change 18, 2471–2481 (2018). https://doi.org/10.1007/s10113-018-1367-x
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DOI: https://doi.org/10.1007/s10113-018-1367-x