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Regional Environmental Change

, Volume 18, Issue 8, pp 2471–2481 | Cite as

The effects of tactical message inserts on risk communication with fish farmers in Northern Thailand

  • Louis Lebel
  • Phimphakan Lebel
  • Boripat Lebel
  • Anuwat Uppanunchai
  • Chatta Duangsuwan
Original Article

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.

Keywords

Risk communication Theory of planned behavior Climate change Floods Droughts Aquaculture 

Notes

Acknowledgements

Thanks to Ruth Beilin and Helena Bender at the University of Melbourne for the feedback on an earlier draft of this manuscript.

Funding information

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.

Supplementary material

10113_2018_1367_MOESM1_ESM.docx (25 kb)
ESM 1 (DOCX 25 kb)

References

  1. 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 CrossRefGoogle Scholar
  2. 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 CrossRefGoogle Scholar
  3. 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 Google Scholar
  4. 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 CrossRefGoogle Scholar
  5. 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 CrossRefGoogle Scholar
  6. 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 CrossRefGoogle Scholar
  7. 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 CrossRefGoogle Scholar
  8. 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 CrossRefGoogle Scholar
  9. Crano WD, Prislin R (2006) Attitudes and persuasion. Annu Rev Psychol 57:345–374.  https://doi.org/10.1146/annurev.psych.57.102904.190034 CrossRefGoogle Scholar
  10. 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 CrossRefGoogle Scholar
  11. 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 CrossRefGoogle Scholar
  12. 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 CrossRefGoogle Scholar
  13. 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 CrossRefGoogle Scholar
  14. Holt C, Laury S (2002) Risk aversion and incentive effects. Am Econ Rev 92:1644–1655.  https://doi.org/10.1257/000282802762024700 CrossRefGoogle Scholar
  15. 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 CrossRefGoogle Scholar
  16. 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 CrossRefGoogle Scholar
  17. 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 CrossRefGoogle Scholar
  18. 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 CrossRefGoogle Scholar
  19. 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 CrossRefGoogle Scholar
  20. 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 CrossRefGoogle Scholar
  21. 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 CrossRefGoogle Scholar
  22. 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 CrossRefGoogle Scholar
  23. 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 CrossRefGoogle Scholar
  24. 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 CrossRefGoogle Scholar
  25. 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 531–539Google Scholar
  26. 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 CrossRefGoogle Scholar
  27. 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 CrossRefGoogle Scholar
  28. 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 CrossRefGoogle Scholar
  29. 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 CrossRefGoogle Scholar
  30. 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 CrossRefGoogle Scholar
  31. 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 CrossRefGoogle Scholar
  32. 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 CrossRefGoogle Scholar
  33. 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 CrossRefGoogle Scholar
  34. 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 CrossRefGoogle Scholar
  35. Sjöberg L (2007) Emotions and risk perception. Risk Manage 9:223–237.  https://doi.org/10.1057/palgrave.rm.8250038 CrossRefGoogle Scholar
  36. 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 CrossRefGoogle Scholar
  37. 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 CrossRefGoogle Scholar
  38. 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 CrossRefGoogle Scholar
  39. 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 CrossRefGoogle Scholar
  40. 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 CrossRefGoogle Scholar
  41. 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 CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Unit for Social and Environmental Research, School of Public PolicyChiang Mai UniversityChiang MaiThailand
  2. 2.School of Forests & Ecosystem SciencesUniversity of MelbourneMelbourneAustralia
  3. 3.Lamphun Inland Fisheries Research and Development Center, Department of FisheriesMinistry of Agriculture and CooperativesLamphunThailand

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