Green Behavior and Generation: A Multi-Group Analysis Using Structural Equation Modeling

Article Details

Reynaldo A. Bautista, Jr., reynaldo.bautista@dlsu.edu.ph, De La Salle University, Philippines

Journal: The Asia-Pacific Social Science Review
Volume 19 Issue 1 (Published: 2019-03-01)

Abstract

The purpose of this research is to investigate the difference between generations X and Y in terms of green behavior operationalized as an intention to buy green products (INT). The study was based on two cross-sectional samples—one for generation X (N=397) and one for generation Y (N=685). Model testing was conducted using structural equation modeling (PLS-SEM). In the overall model, results showed that all variables are significant (with p-values ≤ 0.05) predictors of INT. However, at the generation level, there is a significant difference in green values (GV) between generations where generation X registered a higher score. Furthermore, t-test of the path coefficients from GV to attitude toward green product (ATT), perceived behavioral control (PBC), and subjective norm (SN) are all statistically significant. The study suggests that marketers should consider a unique selling approach to each of the generations. For instance, as generation X has a higher score in GV, when targeting this group, marketing campaigns should highlight that their actions have a direct effect on the environment whether positive or negative.

Keywords: Green values, generational multi-group analysis, structural equation modeling, theory of planned behavior

DOI: https://www.dlsu.edu.ph/wp-content/uploads/pdf/research/journals/apssr/2019-March-vol19-1/2-green-behavior-and-generation-a-multi-group-analysis-using-structural-equation-modeling.pdf
  References:

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-–211.

Ajzen, I. (2001). Nature and operation of attitudes. Annual Review of Psychology, 52, 27-58.

Ajzen, I. (2002). Constructing a TPB questionnaire: Conceptual and methodological considerations. Retrieved from http://libra.msra.cn/Publication/2887232/constructing-atpb-questionnaire-conceptual-and-methodological-considerations

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. NJ: Prentice-Hall.

Anderson, W. T., & Cunningham, H. (1972). The socially conscious consumer. Journal of Marketing, 36(3), 23-–31. doi:10.2307/1251036

Chen, T. B., & Chai, L. T. (2010). Attitude towards the environment and green products: Consumers’ perspective. Management Science and Engineering, 4(2), 27-–39. Retrieved from http://www.cscanada.net

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. Marcoulides (Ed.), Modern methods for business research (pp. 295-–358). Associates, Mahwah, NJ: Lawrence Erlbaum.

Churchill, G. A., Jr., & Iacobucci, D. (2002). Marketing research: Methodological foundations (8th ed.). Orlando, FL: Harcourt College Publishers.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, N.J.: Lawrence Erlbaum Associates.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297–335.

Conner, M., & Armitage, C.J. (1998). Extending the theory of planned behavior: A review and avenues for further research. Journal of Applied Social Psychology, 28(15), 1429- 1464.

Davidson, D. J., & Freudenburg, W. R. (1996). Gender and environmental risk concerns: A review and analysis of available research. Environment and Behavior, 28(3), 302-–339. doi:10.1177/0013916596283003

De Groot, J., & Steg, L. (2007). General beliefs and the theory of planned behavior: The role of environmental concern. Journal of Applied Social Psychology, 37, 1817–1836.

De Gregorio, F., and Y.& Sung, Y. (2010). Understanding attitudes toward and behaviors in response to product placement: A consumer socialization framework. Journal of Advertising, 39 (1),: 83–96.

Diamantopoulos, A., Schlegelmilch, B. B., Sinkovics, R. R., & Bohlen, G. M. (2003). Can socio-demographics still play a role in profiling green consumers?: A review of the evidence and an empirical investigation. Journal of Business Research, 56, 465-–480. doi:10.1016/S0148-2963(01)00241-7

Faul, F., Erdfelder, E., Lang, A.-G., & Buhner, A. (2009). Statistical power analysis using G*Power 3.1: tTest for correlation and regression analyses. Behavior Research Methods, 41, 1149-–1160.

Fishbein, M. (1963). An investigation of the relationships between beliefs about an object and the attitude toward that object. Human Relations, 16, 233-240.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.

Fornell, C., & Cha, J. (1994). Partial least squares. In R. P. Bagozzi (Ed.), Advanced methods of marketing research (pp. 52-–78). Cambridge, England: Blackwell.

Fornell, C., and &D. F. Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18 (3),: 382–388.

Gilg, A., Barr, S., & Ford, N. (2005). Green consumption or sustainable lifestyles? Identifying the sustainable consumer. Futures, 37, 481-–504. doi:10.1016/j.futures.2004.10.016.

Grunert, S. C., & Kristensen, K. (1992). The cross-cultural validity of the List of Values LOV: A comparison of nine samples from five countries. In A, Editor, B. Editor, & C. Editor (Eds.), Book title (pp. 89–99). Amsterdam: Sociometric Research Foundation, 89-99.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011).PLS-SEM: indeed a silver bullet. Journal ofMarketing Theory and Practice, 19(2), 139-151.

Hair, J. F., Sarstedt, M., Ringle, C. M.,& Mena,J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy ofMarketing Science, 40(3), 414-433.

Hines, J. M., Hungerford, H. R., & Tomera, A. N. (1987). Analysis and synthesis of research on responsible environmental behavior: A meta-analysis. The Journal of Environmental Education, 18(2), 1-–8. doi:10.1080/00958964.1987.9943482

Howe, N., & Strauss, W. (2000). Millennials rising: The next great generation. New York, NY: Vintage Books.

Hrubes, D., Ajzen, I., & Daible, J. (2001). Predicting hunting intentions and behavior: An application of the Theory of Planned Behavior. Leisure Sciences, 23, 165-178.

Hu, L.-T., Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. doi:10.1080/10705519909540118

Ishaswini, N., & Datta, S. K. (2011). Pro-environmental concern influencing greenbuying: A study on Indian consumers. International Journal of Business and Management, 6(6), 124-–133. Retrieved from http://ccsenet.org/journal/index.php/ijbm/article/viewFile/10821/7676

Kalafatis, P. S., Pollard, M., East, R., & Tsogas, H. M. (1999). Green marketing and Ajzen’s theory of planned behavior: A cross-market examination. Journal of Consumer Marketing, 16, 441–460.

Kinnear, C., Taylor, R., & Ahmed, A. (1974). Ecologically concerned consumers: Who are they? Journal of Marketing, 38(2), 20-–24. doi:10.2307/1250192

Kotler, P., G. Armstrong, G., and P. H.& Cunningham, P. H. (2005). Principles of marketing. Upper Saddle River, NJ: Prentice Hall.

Kock, N. (2013). Using WarpPLS in e-collaboration studies: What if I have only one group and one condition? International Journal of e-Collaboration, 9(3), 1-12.

Kock, N. (2015). Common Method Bias in PLS-SEM: A full Collinearity Assessment Approach. International Journal of e-Collaboration, (IJeC) 11(4). 10.4018/ijec.2015100101

Laroche, M., Bergeron, J., & Barbaro-Forleo, G. (2001). Targeting consumers who are willing to pay more for environmentally friendly products. Journal of ConsumerMarketing, 18(6), 503-–520. doi: 10.1108/EUM0000000006155

Life Course Associates. (2014). Generations in Anglo-American History. (Retrieved from http://www.lifecourse.com/about/method/timelines/generations.html)

McCarty, J. A., & Shrum, L. J. (2001). The influence of individualism, collectivism, and locus of control on environmental beliefs and behavior. Journal of Public Policy & Marketing, 20(1), 93-–104. doi:10.1509/jppm.20.1.93.17291

McEachern, M., & McClean, P. (2002). Organic purchasing motivations and attitudes: Are they ethical? International Journal of Consumer Studies, 26, 85-–92.

Moschis, G. P., and G. A.& Churchill, G. A. (1978). Consumer socialization: A theoretical and empirical analysis. Journal of Marketing Research, 15,: 599-–609.

Mostafa, M. M. (2007). A hierarchical analysis of the green consciousness of the Egyptian consumer. Psychology & Marketing, 24, 445–473.

Muralidharan, X., Rejon-Guardia, X., & Fei Xue, F. (2016). Understanding the green buying behavior of younger Millennials from India and the United States: A structural equation modeling approach. Journal of iInternational cConsumer mMarketing, 28(1),: 54–72. http://dx.doi.org/10.1080/08961530.2015.1056328

Nunnally, J.C., & Bernstein, I. (1994). Psychometric theory (3rd ed.). New York: McGrawHill.

Ottman, J. (1993)., Green marketing: Challenges and opportunities for the new marketing age. New York, NY: McGraw-Hill.

Peterson, R. A. (1994). A meta-analysis of Cronbach’s coefficient alpha. Journal of Consumer Research, 21, 381–391.

Ringle, Christian C. M., Wende, SvenS., & Becker, JanJ.-Michael. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com

Robinson, J. P., Shaver, P. R., & Wrightsman, L. S. (1991). Criteria for scale selection and evaluation. In J. P. Robinson, P. R. Shaver, & L. S. Wrightsman (Eds.), Measures of personality and social psychological attitudes (pp. 1–15). San Diego, CA: Academic Press.

Schahn, J., & Holzer, E. (1990). Studies of individual environmental concern: The role of knowledge, gender, and background variables. Environment and Behavior, 22(6), 767-–786.

Scott, D., & Willits, K. (1994). Environmental attitudes and behavior: A Pennsylvania survey. Environment and Behavior, 26(2), 239-260. doi:10.1177/001391659402600206

Shamdasani, P., Chon-Lin, G. O., & Richmond, D. (1993). Exploring green consumers in an oriental culture: Role of personal and marketing mix factors. Advances in Consumer Research, 20, 488-–493. Retrieved from http://www.acrwebsite.org/volumes/display.asp?id=7504&print=1

Smith, K. (2010). An examination of marketing techniques that influence millennials’ perceptions of whether a product is environmentally friendly. Journal of Strategic Marketing, 18,: 437-–450.

Steel, S. (1996). Thinking globally and acting locally?: Environmental attitudes, behavior and activism. Journal of Environmental Management, 47(1), 27–36. doi:10.1006/jema.1996.0033

Tukey, J. W. (1962). The future of data analysis. Annals of Mathematical Statistics, 33, 1-67.

Tukey, J. W. (1986). The collected works of John W. Tukey, Vols III and IV. Belmont, CA: Wadsworth and Brooks/Cole.

Van Liere, D., & Dunlap (1980). The social bases of environmental concern: A review of hypotheses, explanations and empirical evidence. Public Opinion, 44(2), 181-–197. doi:10.1086/268583

Vining, J., & Ebreo, A. (1990) What makes a recycler? A comparison of recyclers and non recyclers. Environment and Behavior, 22(1), 55-73. doi:10.1177/0013916590221003

Weiner, J. L., and & Doescher, T. A. (1991). A Framework for Promoting Cooperation. Journal of Marketing, Vol. 55, pp. 38-–47.

Werner, C. M., C. Sansone, C., and B. B. & Brown, B. B. (2008). Guided group discussion and attitude change: The roles of normative and informational influence. Journal of Environmental Psychology, 28,: 27-–41.

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