Theory of Reasoned Action as a Framework for Communicating Climate Risk: A Case Study of Schoolchildren in the Mekong Delta in Vietnam
Abstract
:1. Introduction
2. Theory of Reasoned Action (TRA)
3. Materials and Methods
3.1. Site and Sample Selection
3.2. Experimental Design
3.3. Experimental Survey Procedure
3.4. Key Measures
- Change in intention to undertake dengue fever risk reduction practices (DF intention change): an index measuring the improvement of intention to act on climate risk reduction actions before and after watching video treatments (post score of intention on dengue fever practice—pre-score of intention on dengue fever practice). The intention measure index was composed of 9 items to increase reliability.
- Change in intention to seek information (INFO intention change): an index measuring the improvement of intention to seek information on climate change, dengue fever, and the linkage between climate change and dengue fever before and after treatment (post-score of intention on seeking information—pre-score of intention on seeking information).
- Past practices on dengue fever risk reduction (DF practices): an index which is computed from the scores of three actions, covering water tanks, overturning things that collect rainwater, and clearing bushes in the house yard. If a specific practice was not possible—for example, a student’s family did not have water tanks—then this item was dropped from the index calculation.
- Past practices on seeking information (INFO practices): an index measuring actions on seeking information on climate change, dengue fever, and the linkage between climate change and dengue fever. These questions were answered on a 6-point scale of frequency of practice (never, very rarely, rare, occasionally, frequently, very frequently).
- Attitude (ATT) index: an index measuring respondents’ level of salient belief toward their actions through a series of questions.
- Subjective norm (SN) index: index measuring the extent to which respondent’s actions were influenced by teachers, parents, and neighbors.
- Climate change knowledge score (CC knowledge): is based on the score from the climate change knowledge test. CC knowledge improved = CC knowledge post-test—CC knowledge pretest.
- Gender: is a dummy variable (0 = male, 1 = female).
3.5. Analyses
4. Results
4.1. TRA Model Will Significantly Predict the Intention of Climate Change Adaptation Behavior
4.2. Effects of TRA-Based Treatments on the Behavior Intention for Climate Change Adaptation
4.3. Effects of TRA-Based Treatments on Changes of Salient and Normative Beliefs of Climate Change Adaptation
5. Discussion
5.1. The TRA Model Significantly Predicts the Intention of Climate Change Adaptation Behavior
5.2. Effects of TRA-Based Treatments on the Behavior Intention for Climate Change Adaptation
5.3. Effects of TRA-Based Treatments on Changes of Salient and Normative Beliefs of Climate Change Adaptation
5.4. Policy Implications
6. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- The Prime Minister. Decision on Approval of the National Target Program to Respond to Climate Change; Socialist Republic of Vietnam: Hanoi, Vietnam, 2008.
- Copsey, T.; Nguyen, Y.; Pham, P.H. How the People of Vietnam Live with Climate Change and What Communication Can Do; BBC Media Action: London, UK, 2013. [Google Scholar]
- Moser, S.C. Communicating climate change: History, challenges, process and future directions. Wiley Interdiscip. Rev. Clim. Chang. 2010, 1, 31–53. [Google Scholar] [CrossRef]
- Clymer, C.; Devoid, C.; Howe, P.; Lee, G.; Pjeczka, K.; Werrell, A. Communicating Risk in Environmental Health: A Case Study of Lyme Disease in Addison County, Vermont; Middlebury College: Middlebury, VT, USA, 2014. [Google Scholar]
- ISET–International; CCCO Can Tho. Climate Change Complicates Dengue Fever Prevention in Can tho. Can Tho, Vietnam: Institute for Social and Environmental Transition-International; Institute for Social and Environmental Transition-International: Can Tho, Vietnam, 2016. [Google Scholar]
- Gifford, R. The dragons of inaction: Psychological barriers that limit climate change mitigation and adaptation. Am. Psychol. 2011, 66, 290–302. [Google Scholar] [CrossRef] [PubMed]
- Mulilis, J.-P. Persuasive communication issues in disaster management: A review of the hazards mitigation and preparedness literature and a look towards the future. Aust. J. Emerg. Manag. 1998, 13, 51–55. [Google Scholar]
- Armitage, C.J.; Conner, M. Efficacy of the Theory of Planned Behaviour: A meta-analytic review. Br. J. Soc. Psychol. 2001, 40, 471–499. [Google Scholar] [CrossRef] [PubMed]
- Nguyen, T.N.; Nguyen, H.V.; Lobo, A. Encouraging Vietnamese household recycling behavior: Insights and implications. Sustainability 2017, 9, 179. [Google Scholar] [CrossRef]
- Du Toit, J.; Wagner, C.; Fletcher, L. Socio-spatial factors affecting household recycling in townhouses in Pretoria, South Africa. Sustainability 2017, 9, 2033. [Google Scholar] [CrossRef]
- Ho, C.-W.; Wang, Y.-B.; Yen, N.Y. Does environmental sustainability play a role in the adoption of smart card technology at universities in Taiwan: An integration of TAM and TRA. Sustainability 2015, 7, 10994–11009. [Google Scholar] [CrossRef]
- Nguyen, T.N.; Lobo, A.; Greenland, S. The influence of Vietnamese consumers’ altruistic values on their purchase of energy efficient appliances. Asia Pac. J. Mark. Logist. 2017, 29, 759–777. [Google Scholar] [CrossRef]
- Taylor, D.; Bury, M.; Campling, N.; Carter, S.; Garfied, S.; Newbould, J.; Rennie, T. A Review of the Use of the Health Belief Model (HBM), the Theory of Reasoned Action (TRA), the Theory of Planned Behaviour (TPB) and the Trans-Theoretical Model (TTM) to Study and Predict Health Related Behaviour Change; Department of Health: London, UK, 2007. [Google Scholar]
- Mishra, D.; Akman, I.; Mishra, A. Theory of Reasoned Action application for green information technology acceptance. Comput. Hum. Behav. 2014, 36, 29–40. [Google Scholar] [CrossRef]
- Alzahrani, K.; Hall-Phillips, A.; Zeng, A.Z. Applying the Theory of Reasoned Action to Understanding Consumers’ Intention to Adopt Hybrid Electric Vehicles in Saudi Arabia; Transportation, 2017. Available online: https://link.springer.com/article/10.1007/s11116-017-9801-3 (accessed on 28 March 2018).
- Martins Gonçalves, H.; Viegas, A. Explaining consumer use of renewable energy: Determinants and gender and age moderator effects. J. Glob. Sch. Mark. Sci. 2015, 25, 198–215. [Google Scholar] [CrossRef]
- Nadlifatin, R.; Lin, S.-C.; Rachmaniati, Y.P.; Persada, S.F.; Razif, M. A Pro-Environmental Reasoned Action Model for measuring citizens’ intentions regarding ecolabel product usage. Sustainability 2016, 8, 1165. [Google Scholar] [CrossRef]
- Yoon, J.I.; Kyle, G.T.; van Riper, C.J.; Sutton, S.G. Testing the effects of constraints on climate change–friendly behavior among groups of Australian residents. Coast. Manag. 2013, 41, 457–469. [Google Scholar] [CrossRef]
- Lorenzoni, I.; Nicholson-Cole, S.; Whitmarsh, L. Barriers perceived to engaging with climate change among the UK public and their policy implications. Glob. Environ. Chang. 2007, 17, 445–459. [Google Scholar] [CrossRef]
- Arunrat, N.; Wang, C.; Pumijumnong, N.; Sereenonchai, S.; Cai, W. Farmers’ intention and decision to adapt to climate change: A case study in the Yom and Nan Basins, Phichit province of Thailand. J. Clean. Prod. 2017, 143, 672–685. [Google Scholar] [CrossRef]
- Masud, M.M.; Al-Amin, A.Q.; Junsheng, H.; Ahmed, F.; Yahaya, S.R.; Akhtar, R.; Banna, H. Climate change issue and Theory of Planned Behaviour: Relationship by empirical evidence. J. Clean. Prod. 2016, 113, 613–623. [Google Scholar] [CrossRef]
- Stead, M.; Tagg, S.; Mackintosh, A.M.; Eadie, D. Development and evaluation of a mass media Theory of Planned Behaviour intervention to reduce speeding. Health Educ. Res. 2005, 20, 36–50. [Google Scholar] [CrossRef] [PubMed]
- Quine, L.; Rutter, D.; Arnold, L. Increasing cycle helmet use in school-age cyclists: An intervention based on the Theory of Planned Behaviour. In Changing Health Behaviour: Intervention and Research with Social Cognition Models; Rutter, D., Quine, L., Eds.; Open University Press: Milton Keynes, UK, 2002. [Google Scholar]
- Fishbein, M.; Cappella, J.N. The role of theory in developing effective health communications. J. Commun. 2006, 56, 1–17. [Google Scholar] [CrossRef]
- Hardeman, W.; Johnston, M.; Johnston, D.; Bonetti, D.; Wareham, N.; Kinmonth, A.L. Application of the Theory of Planned Behaviour in behaviour change interventions: A systematic review. Psychol. Health 2002, 17, 123–158. [Google Scholar] [CrossRef]
- Fishbein, M. A reasoned action approach to health promotion. Med. Decis. Mak. Int. J. Soc. Med. Decis. Mak. 2008, 28, 834–844. [Google Scholar] [CrossRef] [PubMed]
- Abraham, C.; Sheeran, P.; Norman, P.; Conner, M.; de Vries, N.; Otten, W. When good intentions are not enough: Modeling postdecisional cognitive correlates of condom use1. J. Appl. Soc. Psychol. 1999, 29, 2591–2612. [Google Scholar] [CrossRef]
- Hall, P.A.; Fong, G.T. Temporal self-regulation theory: A model for individual health behavior. Health Psychol. Rev. 2007, 1, 6–52. [Google Scholar] [CrossRef]
- Webb, T.L.; Sheeran, P. Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. Psychol. Bull. 2006, 132, 249–268. [Google Scholar] [PubMed]
- Sommer, L. The Theory of Planned Behaviour and the impact of past behaviour. Int. Bus. Econ. Res. J. 2011, 10, 91–110. [Google Scholar] [CrossRef]
- Pruneau, D.; Khattabi, A.; Demers, M. Challenges and possibilities in climate change education. US-China Educ. Rev. 2010, 7, 15–24. [Google Scholar]
- Akachi, Y.; Goodman, D.L.; Parker, D. Global Climate Change and Child Health: A Review of Pathways, Impacts and Measures to Improve the Evidence Base; UNICEF Innocenti Research Centre: Florence, Italy, 2009. [Google Scholar]
- Sheffield, P.E.; Landrigan, P.J. Global climate change and children’s health: Threats and strategies for prevention. Environ. Health Perspect. 2011, 119, 291–298. [Google Scholar] [CrossRef] [PubMed]
- Bonfiglioli, A.; Watson, C. Bringing social protection down to earth: Integrating climate resilience and social protection for the most vulnerable. In Proceedings of the IDS–International Conference: “Social Protection for Social Justice” Institute of Development Studies, East Sussex, UK, 13–15 April 2011. [Google Scholar]
- Aronson, E.; Wilson, T.D.; Akert, R.M. Social Psychology; Pearson Education International: Upper Saddle River, NJ, USA, 2005. [Google Scholar]
- Fishbein, M.; Yzer, M.C. Using theory to design effective health behavior interventions. Commun. Theory 2003, 13, 164–183. [Google Scholar] [CrossRef]
- Nhan Dan. Available online: http://www.nhandan.com.vn/megastory/2017/2008/2016/ (accessed on 26 March 2018).
- WHO Viet Nam. Available online: http://www.wpro.who.int/Viet Nam/topics/dengue/factsheet/en/ (accessed on 26 March 2018).
- Arunachalam, N.; Tana, S.; Espino, F.; Kittayapong, P.; Abeyewickreme, W.; Wai Khin, T.; Tyagi, B.K.; Kroeger, A.; Sommerfeld, J.; Petzold, M. Eco-bio-social determinants of dengue vector breeding: A multicountry study in urban and Periurban Asia. Bull. World Health Organ. 2010, 88, 173–184. [Google Scholar] [CrossRef] [PubMed]
- Can Tho Department of Public Health. Available online: http://soytecantho.vn/Default.aspx?tabid=979&ndid=1839 (accessed on 27 March 2018).
- Can Tho People’s Committee. Available online: http://vpub.cantho.gov.vn/Default.aspx?tabid=36&categoryid=18&itemid=796 (accessed on 27 March 2018).
- Fishbein, M.; Ajzen, I. Predicting and Changing Behavior. The Reasoned Action Approach; Psychology Presss: New York, NY, USA, 2010. [Google Scholar]
- Ajzen, I. The Theory of Planned Behavior. Organ. Behav. Hum. Decis. Process. 1991, 50, 179–211. [Google Scholar] [CrossRef]
- Park, J.; Lennon, S.J.; Stoel, L. On-line product presentation: Effects on mood, perceived risk, and purchase intention. Psychol. Mark. 2005, 22, 695–719. [Google Scholar] [CrossRef]
- Cabaniss, A. Message Matters: Application of the Theory of Planned Behavior to Increase Household Hazardous Waste Program Participation. Ph.D. Thesis, Antioch New England Graduate School, Culver City, CA, USA, 2014. [Google Scholar]
- Heath, Y.; Gifford, R. Free-market ideology and environmental degradation: The case of belief in global climate change. Environ. Behav. 2006, 38, 48–71. [Google Scholar] [CrossRef]
- Kaiser, F.G.; Heinz, G. The proposition of a general version of the Theory of Planned Behavior: Predicting ecological behavior. J. Appl. Soc. Psychol. 2003, 33, 586–603. [Google Scholar] [CrossRef]
- Kim, S.; Jeong, S.-H.; Hwang, Y. Predictors of pro-environmental behaviors of American and Korean students: The application of the Theory of Reasoned Action and Protection Motivation Theory. Sci. Commun. 2013, 35, 168–188. [Google Scholar] [CrossRef]
- Nguyen, T.N.; Lobo, A.; Greenland, S. The influence of cultural values on green purchasebehaviour. Mark. Intell. Plan. 2017, 35, 377–396. [Google Scholar] [CrossRef]
- Read, D.L.; Brown, R.F.; Thorsteinsson, E.B.; Morgan, M.; Price, I. The theory of planned behaviour as a model for predicting public opposition to wind farm developments. J. Environ. Psychol. 2013, 36, 70–76. [Google Scholar] [CrossRef]
- Nguyen, T.N.; Lobo, A.; Nguyen, H.L.; Phan, T.T.H.; Cao, T.K. Determinants influencing conservation behaviour: Perceptions of Vietnamese consumers. J. Consum. Behav. 2016, 15, 560–570. [Google Scholar] [CrossRef]
- Meijer, S.S.; Catacutan, D.; Sileshi, G.W.; Nieuwenhuis, M. Tree planting by smallholder farmers in malawi: Using the theory of planned behaviour to examine the relationship between attitudes and behaviour. J. Environ. Psychol. 2015, 43, 1–12. [Google Scholar] [CrossRef]
- Bamberg, S.; Möser, G. Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. J. Environ. Psychol. 2007, 27, 14–25. [Google Scholar] [CrossRef]
- Norman, P.; Conner, M. The theory of planned behaviour and binge drinking: Assessing the moderating role of past behaviour within the Theory of Planned Behaviour. Br. J. Health Psychol. 2006, 11, 55–70. [Google Scholar] [CrossRef] [PubMed]
- Chatzisarantis, N.L.; Hagger, M.S. Effects of a brief intervention based on the theory of planned behavior on leisure-time physical activity participation. J. Sport Exerc. Psychol. 2005, 27, 470–487. [Google Scholar] [CrossRef]
Video Treatment | Attitude (ATT) | No ATT |
---|---|---|
Subjective norm (SN) | Video 1 | Video 3 |
NoSN | Video 2 | Video 4 |
Video Treatment | Description of the Video |
---|---|
Attitude | Challenging belief that adaptation actions require a lot of time are not easy and ineffective. Two schoolchildren (girl and boy) undertook actions to eliminate the mosquito breeding sites by covering water containers, overturning anything that could collect rainwater like bottles, jars, coconut shells, clearing bushes and rubbish in house’s garden. While doing so, they explained how easy the actions were, how effective the actions are in reducing mosquito populations, and how they can help people adapt to the changing climate in Can Tho in the long run. |
Subjective Norm | To highlight/emphasize social pressures on taking actions to reduce the number of mosquitos for short-term prevention and long-term adaptation. Two teachers and two schoolchildren expressed their expectation that schoolchildren in Can Tho will undertake adaptation actions for climate-related impact on dengue fever. |
Factor | Items | α | Item Example | Scoring |
---|---|---|---|---|
Behavior intention—dengue risk reduction | 9 | 0.92 | How often will you clear bushes and rubbish in the yard of your house in the next 12 months? | 1 = never, 6 = very often |
Behavior intention—seek information | 3 | 0.90 | How often will you seek information on climate change in the next 12 months? | 1 = never, 6 = very often |
Past practices—dengue risk reduction | 9 | 0.88 | How often did you clear bushes and rubbish in the yard of your house in the last 12 months? | 1 = never, 6 = very often |
Past practices—seek information | 3 | 0.84 | How often did you seek more information on climate change in the last 12 months? | 1 = never, 6 = very often |
SN index | 5 | 0.71 | Teachers who are important to me expect that I will clear bushes in my house’s yard. | 1 = Strongly disagree 6 = Strongly agree |
ATT index | 6 | 0.90 | My family and I can easily overturn things that collect rainwater like bottles, jars, coconut shells around my house. | 1 = Strongly disagree 6 = Strongly agree |
Climate change (CC) knowledge score | 7 | NA | Climate change may cause more rain during the rainy season in Can Tho in about 30 years. | True/False/Don’t know |
Dengue Fever (DF) Intention Change | Information (INFO) Intention Change | |
---|---|---|
Adjusted R2 | 0.36 | 0.22 |
ATT index | 0.146 *** | 0.097 * |
SN index | 0.118 ** | 0.112 ** |
Gender (0 = male, 1 = female) | 0.064 * | 0.093 ** |
Past practice | 0.461 *** | 0.311 *** |
CC knowledge score | 0.124 *** | 0.193 *** |
Dependent Variable: DF Intention | ||
---|---|---|
Source | F | Sig. |
Intercept | 20.593 | 0.000 |
Gender (female) | 2.299 | 0.130 |
ATT index | 11.060 | 0.001 |
SN index | 1.217 | 0.270 |
ATT*SN | 4.793 | 0.029 |
Past practice on dengue fever | 61.817 | 0.000 |
Climate change knowledge improved | 5.808 | 0.016 |
Dependent Variable: INFO Intention | ||
---|---|---|
Source | F | Sig. |
Intercept | 43.034 | 0.000 |
Gender (female) | 0.960 | 0.327 |
ATT index | 21.379 | 0.000 |
SN index | 3.184 | 0.075 |
ATT*SN | 1.158 | 0.282 |
Past practice on dengue fever | 47.939 | 0.000 |
CC knowledge improved | 0.994 | 0.319 |
Paired Samples Test | Paired Differences | t | df | Sig. (2-Tailed) | ||||
---|---|---|---|---|---|---|---|---|
Mean | Standard Deviation (SD) | Std. Error Mean | 95% Confidence Interval of the Difference | |||||
Lower | Upper | |||||||
IntentionPostDF—IntentionPreDF | 0.38889 | 0.70616 | 0.02682 | 0.33622 | 0.44156 | 14.497 | 692 | 0.000 |
ATT PostDF—ATT PreDF | 0.18821 | 0.55892 | 0.02123 | 0.14652 | 0.22989 | 8.865 | 692 | 0.000 |
SN PostDF—SN PreDF | 0.10534 | 0.65694 | 0.02495 | 0.05634 | 0.15434 | 4.221 | 692 | 0.000 |
Post-Test—Pre-test on CC knowledge | 1.17027 | 1.60648 | 0.06103 | 1.05046 | 1.29009 | 19.177 | 692 | 0.000 |
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Nguyen, Q.A.; Hens, L.; MacAlister, C.; Johnson, L.; Lebel, B.; Bach Tan, S.; Manh Nguyen, H.; Nguyen, T.N.; Lebel, L. Theory of Reasoned Action as a Framework for Communicating Climate Risk: A Case Study of Schoolchildren in the Mekong Delta in Vietnam. Sustainability 2018, 10, 2019. https://doi.org/10.3390/su10062019
Nguyen QA, Hens L, MacAlister C, Johnson L, Lebel B, Bach Tan S, Manh Nguyen H, Nguyen TN, Lebel L. Theory of Reasoned Action as a Framework for Communicating Climate Risk: A Case Study of Schoolchildren in the Mekong Delta in Vietnam. Sustainability. 2018; 10(6):2019. https://doi.org/10.3390/su10062019
Chicago/Turabian StyleNguyen, Quynh Anh, Luc Hens, Charlotte MacAlister, Lester Johnson, Boripat Lebel, Sinh Bach Tan, Hung Manh Nguyen, The Ninh Nguyen, and Louis Lebel. 2018. "Theory of Reasoned Action as a Framework for Communicating Climate Risk: A Case Study of Schoolchildren in the Mekong Delta in Vietnam" Sustainability 10, no. 6: 2019. https://doi.org/10.3390/su10062019
APA StyleNguyen, Q. A., Hens, L., MacAlister, C., Johnson, L., Lebel, B., Bach Tan, S., Manh Nguyen, H., Nguyen, T. N., & Lebel, L. (2018). Theory of Reasoned Action as a Framework for Communicating Climate Risk: A Case Study of Schoolchildren in the Mekong Delta in Vietnam. Sustainability, 10(6), 2019. https://doi.org/10.3390/su10062019