Intention of Bangladeshi young girls toward green consumption: A study on private university students

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Consumer purchase intentions determine the process of developing green consumption behavior. The demand for environmentally friendly goods has stayed divisive, multifaceted, and particular to each societal setting. In order to examine this, this paper applied Ajzen’s theory of planned behavior as a theoretical framework with modification of some factors to investigate the effect of subjective norm, perceived behavioral control, environmental responsibility, and self-efficacy on the purchase intention of Bangladeshi female students toward green consumption. A self-administered questionnaire is used to collect data from the respondents. Based on convenience and snowball sampling, 280 questionnaires were analyzed in this study, received from participants aged 18 to 25. The SPSS 22.0 and Smart-PLS were employed to analyze the model and estimate the parameters by considering a 95% confidence interval. The results indicate that all factors (p values < α = 0.01) had an overall significant and strong positive influence. Self-efficacy has a slight specific indirect effect (p = 0.051 > α = 0.05) on the purchase intention toward green consumption among university girls in Bangladesh. Additionally, this study explored a significant correlation between five independent variables and the dependent variable. The strongest correlation (r = 0.849) between green consumption behavior and environmental responsibility was discovered. Also, the t-test demonstrates that the intention to engage in green consumption significantly (tcal = 3.684 > tcri = 1.96) influences actual green consumption.

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    • Figure 1. Theoretical framework
    • Figure 2. Structural model
    • Table 1. Questionnaire details
    • Table 2. Demographic information of respondents
    • Table 3. Outer loadings or measurement
    • Table 4. Validity and reliability of each measurable variable
    • Table 5. Discriminant validity (HTMT)
    • Table 6. Total indirect effects
    • Table 7. Specific indirect effects
    • Table 8. Total effects
    • Table 9. Descriptive statistics
    • Conceptualization
      Md. Shariful Haque, A.M. Shahabuddin, Farzana Rahman, Samihah Binte Sharif
    • Data curation
      Md. Shariful Haque, A.M. Shahabuddin, Farzana Rahman, Samihah Binte Sharif
    • Investigation
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman, Samihah Binte Sharif
    • Methodology
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman
    • Software
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman
    • Supervision
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin
    • Validation
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman, Samihah Binte Sharif
    • Visualization
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman
    • Writing – original draft
      Md. Shariful Haque, Farzana Rahman, Samihah Binte Sharif
    • Writing – review & editing
      Md. Shariful Haque, Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman
    • Formal Analysis
      Abdullah Mohammad Ahshanul Mamun, A.M. Shahabuddin, Farzana Rahman
    • Resources
      Abdullah Mohammad Ahshanul Mamun, Farzana Rahman, Samihah Binte Sharif
    • Project administration
      A.M. Shahabuddin