미세먼지 감축 행동 의도에 영향을 주는 요인 연구 : 계획된 행동이론(TPB)과 규범활성화 모형(NAM)의 통합 적용
초록
본 연구는 도덕적 규범이 미세먼지 감축 행동에 대한 의도에 미치는 영향에 대한 것이다. 커뮤니케이션 분야에서 미세먼지 연구는 주로 미세먼지를 위험으로 인식, 개인의 위험인식과 예방행동에 초점을 맞춰왔다. 이에 본 연구는 환경커뮤니케이션의 관점을 적용하여 미세먼지를 감축하기 위한 개인의 인지과정을 살펴보았다. 이를 위해 계획된 행동이론과 규범활성화 모형의 통합 모형을 활용하였다. 전국 1500명을 대상으로 온라인 설문조사를 실시했다. 행동에 대한 태도, 자기 효능감, 주관적 규범, 도덕적 규범이 감축 행동 의도로 이어지는 구조방정식 모형이 적합한 것으로 나타났다. 경로 분석 결과, 주관적 규범을 제외한 모든 변인이 감축 행동 의도에 정적인 영향을 미치고 있었다. 도덕적 규범과 주관적 규범의 선행 변인으로 포함한 행동 결과 지각은 각 규범에 정적인 관계를 보였으며 도덕적 규범을 매개하여 행동 의도로 이어지는 점을 확인하였다. 미세먼지 규제 정책을 수행함에 있어 개인의 인지적 과정을 고려하는 커뮤니케이션전략이 병행되어야 한다는 점을 알 수 있었다.
Abstract
South Korea has the highest concentration of particulate matter(PM) on average among OECD countries. South Korean governmental agencies and local governments are putting forward strong regulatory measures to solve problems regarding PM pollution. Besides regulatory policies, citizens' cooperation is essential in making the policies work. Especially, when it comes to environmental issues, which do not cause immediate damage to individuals, a more socio-cognitive approach should be considered to enhance individual’s participation. Along these lines, our focus is on individual’s cognitive processing for PM reduction from a perspective of environmental communication, which is differentiated from the prior PM-related literature(considering PM as a risk and dealing with individual’s risk perception and preventive intentions). Specifically, this study examined how moral norms affect the intention to decrease levels of PM, by integrating the theory of planned behavior(TPB) and the norm activation model(NAM). Individual moral norms have been emphasized in research on eco-friendly behaviors(behavioral intentions). For hypothesis testing, a total of 1,500 respondents from a national online survey company in South Korea participated in this study. The structural equation model was performed with the AMOS 18 program, and the maximum likelihood estimation was used. With the acceptable model fit from the structural equation modeling approach(CFI = .92, NFI = .92, RMSEA = .07), we found that attitude, self-efficacy and moral norms were positively related to behavioral intention. In other words, the hypotheses were supported within our integrated research model. On the other hand, there was no significant relationship between subjective norms and behavioral intention. Awareness of consequence, which was an antecedent variable to moral norms and subjective norms, showed a positive relationship with both types of norms. Last, the bootstrapping method confirmed an indirect effect of awareness of consequence on behavioral intention through moral norms. In sum, moral norms work with other constructs in the theory of planned behavior, and awareness of consequence can be a predictor for moral norms. The findings of this study indicate that, in order to implement the PM regulation policies effectively, it is necessary to help people maintain positive attitudes toward PM reduction actions, belief in their ability to participate in relevant regulations, and ethical awareness of environmental issues. The results regarding moral norms should be replicated in other environmental contexts or with different topics to conform the explanatory power of moral norms. The theoretical and practical implications and limitations are discussed in more detail.
Keywords:
Moral norm, Theory of planned behavior, Norm activation model, Awareness of consequence키워드:
도덕적 규범, 계획된 행동이론, 규범활성화 모형, 행동 결과 지각Acknowledgments
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2018S1A3A2074932). (이 논문은 2018년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2018S1A3A2074932).)
References
- Adnan, N., Nordin, S. M., & Rahman, I. (2017). Adoption of PHEV/EV in Malaysia: A critical review on predicting consumer behaviour. Renewable and Sustainable Energy Reviews, 72, 849-862. [https://doi.org/10.1016/j.rser.2017.01.121]
- Ahn, S. H. (2020, April 1). Fine dust season system effect...PM2.5 concentration decreased 20% in Seoul. The Financial News, p. 27.
- Ajzen, I. (1985). From intention to action: A theory of planned behavior. In J. Teoksesta Kuhl & J. Beckmann (Eds.), Action-control: From cognition to behavior (pp. 11-39). Heidelberg: Springer. [https://doi.org/10.1007/978-3-642-69746-3_2]
- Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Process, 50, 179-211. [https://doi.org/10.1016/0749-5978(91)90020-T]
- Ajzen, I. (2001). Nature and operation of attitudes. Annual Review of Psychology, 52, 27-58. [https://doi.org/10.1146/annurev.psych.52.1.27]
- Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. Journal of Applied Social Psychology, 32, 1-20. [https://doi.org/10.1111/j.1559-1816.2002.tb00236.x]
- Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. [https://doi.org/10.1037/0033-2909.103.3.411]
- Armitage, C. J., & Conner, M. (2001). Efficacy of the theory of planned behaviour: A meta-analytic review. British Journal of Social Psychology, 40, 471-499. [https://doi.org/10.1348/014466601164939]
- Bamberg, S., & Moser, G. (2007). Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour. Journal of Environmental Psychology, 27(1), 14-25. [https://doi.org/10.1016/j.jenvp.2006.12.002]
- Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-252. [https://doi.org/10.1037/0033-295X.84.2.191]
- Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147. [https://doi.org/10.1037/0003-066X.37.2.122]
- Beck, L., & Ajzen, I. (1991). Predicting dishonest actions using the theory of planned behavior. Journal of Research in Personality, 25(3), 285-301. [https://doi.org/10.1016/0092-6566(91)90021-H]
- Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. [https://doi.org/10.1037/0033-2909.88.3.588]
- Cha, D.-P. (2005). Understanding binge-drinking: A test of the theory of planned behavior. Korean Journal of Journalism & Communication Studies, 49(3), 346-372.
- Cha, Y., & Cho, J. (2019). A social-cognitive model of applying RISP and HBM model for Korean internet users’ behavioral intentions regarding fine-dust risk protection. Korean Journal of Journalism & Communication Studies, 63(6), 96-142. [https://doi.org/10.20879/kjjcs.2019.63.6.003]
- Chen, C.-Y., Yang, J.-F., Chen, C.-W., Chen, L.-T., & Chen, T.-H. (2010). Linking the balanced scorecard to business management performance: A preliminary concept of fit theory for navigation science and management. International Journal of Physical Science, 5(8), 1296-1305.
- Chae, Y.-G. (2019). Understanding environmental communication studies in Korea. Korean Journal of Communication & Information, 97, 119-152. [https://doi.org/10.46407/kjci.2019.10.97.119]
- Chen, M. F., & Tung, P. J. (2014). Developing an extended theory of planned behavior model to predict consumers' intention to visit green hotels. International Journal of Hospitality Management, 36, 221-230. [https://doi.org/10.1016/j.ijhm.2013.09.006]
- Cho, S.-H. (2019). A comparative study on the structural equation model between theory of planned behavior(TPB) and extended planned behavior theory(ETPB). Journal of Hospitality & Tourism Studies, 21(1), 155-171. [https://doi.org/10.31667/jhts.2019.2.78.155]
- Choi, B. (2018). Integrative analysis on digital piracy: Focused on attitude, personal norm, and habit. The Journal of Society for e-Business Studies, 23(3), 85-109.
- Choi, D. J. (2020, January 22). [Opening the morning] The day when fine dust disappears. The Hankook Ilbo, p. 31.
- Conner, M., & Armitage, C. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429-1464. [https://doi.org/10.1111/j.1559-1816.1998.tb01685.x]
- Cox, R., & Pezzullo, P. C. (2016). Environmental Communication and the Public Sphere. Thousand Oaks, CA: Sage.
- De Groot, J., & Steg, L. (2009). Morality and prosocial behavior: The role of awareness, responsibility, and norms in the norm activation model. The Journal of Social Psychology, 149(4), 425-449. [https://doi.org/10.3200/SOCP.149.4.425-449]
- Doran, R., & Larsen, S. (2016). The relative importance of social and personal norms in explaining intentions to choose eco-friendly travel options. International Journal of Tourism Research, 18(2), 159-166. [https://doi.org/10.1002/jtr.2042]
- Dunlap, R. E., Van Liere, K. D., Mertig, A. G., & Jones, R. E. (2000). New trends in measuring environmental attitudes: Measuring endorsement of the new ecological paradigm: A revised NEP scale. Journal of Social Issues, 56, 425-442. [https://doi.org/10.1111/0022-4537.00176]
- Fishbein, M., & Ajzen, I. (1975). Beliefs, attitudes, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
- Han, H., & Hyun, S. S. (2017). Drivers of customer decision to visit an environmentally responsible museum: Merging the theory of planned behavior and norm activation theory. Journal of Travel & Tourism Marketing, 34(9), 1155-1168. [https://doi.org/10.1080/10548408.2017.1304317]
- Han, H., Lee, M. J., Chua, B.-L., & Kim, W. (2019). Triggers of traveler willingness to use and recommend eco-friendly airplanes. Journal of Hospitality and Tourism Management, 38, 91-101. [https://doi.org/10.1016/j.jhtm.2019.01.001]
- Hong, N.-R., & Kim, I. (2017). Examining the decision-making process on consumers’ purchase intention in the fair trade coffee context: The relationship of social norm and personal norm. Journal of Tourism and Leisure Research, 29(1), 353-371.
- Huh, J. (2013). Huh Jun’s Amos structural equation model easy to follow. Seoul: Hannarae Academy.
- Hwang, Y.-S. (2016). A Study on the Determinant Factors for Eco-friendly Consumer’s Behaviors of China, Japan, and Korea. Doctoral Dissertation, Chungnam National University.
- Jung, J. W., & Cho, S. Y. (2019). The effects of high school students’ environmental concerns and subjective norms on purchase intentions of eco-friendly products: Mediating effect of attitude toward eco-friendly products and services. Korean Journal of Environmental Education, 32(4), 475-487.
- Kaiser, F. G., & Scheuthle, H. (2003). Two challenges to a moral extension of the theory of planned behavior: Moral norms and just world beliefs in conservationism. Personality and Individual Differences, 35(5), 1033-1048. [https://doi.org/10.1016/S0191-8869(02)00316-1]
- Kallgren, C. A., Reno, R. R., & Cialdini, R. B. (2000). A focus theory or normative conduct: When norms do and do not affect behavior. Personality and Social Psychology Bulletin, 26(8), 1002-1012. [https://doi.org/10.1177/01461672002610009]
- Kang, J.-H., & Cho, C.-H. (2006). Determinants of online purchasing intention: Converged Flow-TPB(Theory of Planned Behavior) model. Journal of Communication Science, 6(1), 5-42.
- Khare, A. (2015). Antecedents to green buying behaviour: A study on consumers in an emerging economy. Marketing Intelligence & Planning, 33(3), 309-329. [https://doi.org/10.1108/MIP-05-2014-0083]
- Kim, J., & Cho, J. (2019). Investigation of effects of individuals’ social viewing of fine dust information obtained through social media on behavioral intentions of disease prevention: Application of health beliefs model. Korean Journal of Broadcasting & Telecommunication Studies, 33(4), 37-65.
- Kim, W. J., Han, A., Ha, J., & Ryu, K. (2014). Predicting the intention to broad eco-cruise by extending the theory of planned behavior in the moral behavior perspective. Korean Journal of Hospitality & Tourism, 23(5), 67-85.
- Kim, Y.-S. (2005). Persuasive communication. Seoul: Nanam.
- Kim, Y., Lee, H., Kim, H., & Moon, H. (2018). Exploring message strategies for encouraging coping behaviors against particulate matter: A focus on the moderating effect of psychological distance and the mediating effect of anxiety. Korean Journal of Communication & Information, 92, 7-44. [https://doi.org/10.46407/kjci.2018.12.92.7]
- Ko, E.-H. (2019). A study on the decision process of hotel customers’ eco-friendly behavioral intention focusing on norm activation model. Korean Journal of Hospitality & Tourism, 28(7), 37-56. [https://doi.org/10.24992/KJHT.2019.10.28.07.37.]
- Ku, Y., Ahn, J., & Noh, G.-Y. (2020). Relationships between particulate matter risk perception, information seeking and preventive behaviors: An application of extended risk information seeking and processing model. Korean Journal of Broadcasting & Telecommunication Studies, 34(1), 5-28.
- Lee, H. W., & Park, H. S. (2010). The variables affecting diabetic patients' self-care behaviors: An application of theory of planned behavior. The Korean Journal of Advertising and Public Relations, 12(4), 327-362.
- Lee, H.-Y., & Kim, N.-J. (2017). The impact of fine particular matter risk perception on the outdoor behavior of recreationists: An application of the extended theory of planned behavior. Journal of Tourism Sciences, 41(7), 27-44. [https://doi.org/10.17086/JTS.2017.41.7.27.44]
- Lee, J. K. (2019, December 11). “Reduction device yet” ...15,000 cars caught emitting fine dust. The Hankyoreh, p. 2.
- Maichum, K., Parichatnon, S., & Peng, K.-C. (2016). Application of the extended theory of planned behavior model to investigate purchase intention of green products among Thai consumers. Sustainability, 8(10), 1077. [https://doi.org/10.3390/su8101077]
- Ministry of Environment (2018, October 12). Korean 78.7% “Fine dust is a health threat”, 72.4% “I want to participate in the citizen practice movement”. Ministry of Environment press release. Retrieved 6/11/20 from http://me.go.kr/home/web/board/read.do?pagerOffset=0&maxPageItems=10&maxIndexPages=10&searchKey=title&searchValue=&menuId=286&orgCd=&condition.fromDate=2018-10-10&condition.toDate=2018-10-13&boardId=914570&boardMasterId=1&boardCategoryId=&decorator=
- Moon, S. J. (2019). Effects of psychological environment factors on electric vehicle adoption: Application of expanded theory of planned behavior. Journal of Consumer Studies, 30(6), 51-73. [https://doi.org/10.35736/JCS.30.6.3]
- Nam, S. J. (2010). A study of metro-sexual consumption behavior: A test of the theory of planned behavior. Journal of Consumer Studies, 21(1), 161-180.
- Noh, G.-Y., Park, D.-J., & Kwon, M. S. (2013). Addiction disposition and intention to use sexually explicit material on the internet: An application of the theory of planned behavior. Korean Journal of Journalism & Communication Studies, 57(4), 168-191.
- Onwezen, M. C., Antonides, G., & Bartels, J. (2013). The norm activation model: An exploration of the functions of anticipated pride and guilt in pro-environmental behaviour. Journal of Economic Psychology, 39, 141-153. [https://doi.org/10.1016/j.joep.2013.07.005]
- Park, H. S., & Smith, S. W. (2007). Distinctiveness and influence of subjective norms, personal descriptive and injunctive norms, and societal descriptive and injunctive norms on behavioral intent: A case of two behaviors critical to organ donation. Human Communication Research, 33(2), 194-218. [https://doi.org/10.1111/j.1468-2958.2007.00296.x]
- Park, J., & Ha, S. (2014). Understanding consumer recycling behavior: Combining the theory of planned behavior and the norm activation model. Family & Consumer Sciences Research Journal, 42(3), 278-291. [https://doi.org/10.1111/fcsr.12061]
- Park, S.-Y., & Sohn, S. H. (2012). Exploring the normative influences of social norms on individual environmental behavior. Journal of Global Scholars of Marketing Science, 22(2), 183-194. [https://doi.org/10.1080/12297119.2012.655142]
- Perkins, H. W., & Berkowitz, A. D. (1986). Perceiving the community norms of alcohol use among students: Some research implications for campus alcohol education programming. International Journal of the Addictions, 21(9-10), 671-976. [https://doi.org/10.3109/10826088609077249]
- Rimal, R. N., & Real, K. (2003). Understanding the influence of perceived norms on behaviors. Communication Theory, 13(3), 184-203. [https://doi.org/10.1111/j.1468-2885.2003.tb00288.x]
- Rivis, A., Sheeran, P., & Armitage, C. J. (2009). Expanding the affective and normative components of the theory of planned behavior: A meta analysis of anticipated affect and moral norms. Journal of Applied Social Psychology, 39(12), 2985-3019. [https://doi.org/10.1111/j.1559-1816.2009.00558.x]
- Ryu, D. G., Park, K. S., Kim, T. H., & Ju, Y. H. (2016). An analysis on the differences in national park visitors’ pro-environment behavioral intention and support for national park managerial policies by personal norm. International Journal of Tourism and Hospitality Research, 30(1), 197-210. [https://doi.org/10.21298/IJTHR.2016.01.30.1.197]
- Sheppard, B. H., Hartwick, J., & Warshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research. Journal of Consumer Research, 15, 325-343. [https://doi.org/10.1086/209170]
- Sohn Y., & Lee, B. (2012). An efficacy of social cognitive behavior model based on the theory of planned behavior: A meta-analytic review. Korean Journal of Journalism & Communication Studies, 56(6), 127-161.
- Sparks, P., & Shepherd, R. (2002). The role of moral judgments within expectancy value based attitude behavior models. Ethics & Behavior, 12(4), 299-321. [https://doi.org/10.1207/S15327019EB1204_01]
- Steg, L., & De Groot, J. (2010). Explaining prosocial intentions: Testing causal relationships in the norm activation model. British Journal of Social Psychology, 49(4), 725-743. [https://doi.org/10.1348/014466609X477745]
- Schwartz, S. H. (1977). Normative influences on altruism. In L. Berkowitz (Ed.), Advances in experimental social psychology (Vol. 10) (pp. 221-279). New York: Academic Press. [https://doi.org/10.1016/S0065-2601(08)60358-5]
- Song, Y. M. (2005). Analysis of eco-tourism guide-line effects through theory of planned behavior(TPB). Korean Journal of Youth Studies, 12(4), 473-487.
- Terry, D. J., & O’Leary, J. E. (1995). The theory of planned behavior: The effects of perceived behavioral control and self-efficacy. British Journal of Social Psychology, 34, 199-220. [https://doi.org/10.1111/j.2044-8309.1995.tb01058.x]
- Turner, M. M., Rimal, R. N., Morrison, D., & Kim, H. (2006). The role of anxiety in seeking and retaining risk information: Testing the risk perception attitude framework in two studies. Human Communication Research, 32, 130-156. [https://doi.org/10.1111/j.1468-2958.2006.00006.x]
- Yadav, R., Balaji, M. S., & Jebarajakirthy, C. (2019). How psychological and contextual factors contribute to travelers' propensity to choose green hotels? International Journal of Hospitality Management, 77, 385-395. [https://doi.org/10.1016/j.ijhm.2018.08.002]
- You, K.-M., Kim, H.-J., Kim, N.-J. (2015). Examining the responsibility about climate change influence on personal norm and pro-environmental behaviour in tourism condition. Journal of Tourism Sceinces, 39(5), 87-100. [https://doi.org/10.17086/JTS.2015.39.5.87.100]
- Yun, S.-M., & Kim, T.-U. (2020). Study on the pro-environmental behavior intention of customers visiting green coffee shops using the extended planning behavior theory and norm activation model. Korean Journal of Hospitality & Tourism, 29(2), 21-39. [https://doi.org/10.24992/KJHT.2020.02.29.02.21.]