Global Journal of Human Social Science, E: Economics, Volume 22 Issue 7

Cronbach’s alpha has been used to check the reliability of the collected data. Cronbach’s alpha indicates overall reliability over a variable set. The acceptable standard value of Cronbach’s alpha is 0.70 or more. In this study, the value of Cronbach’s alpha is 0.726, which depicts a considerable level of internal consistency for the scale of this sample. Regression Analysis Table 4 Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 0.854 0.729 0.721 0.30737 a. Predictors: (Constant), Economic, Social, Environment The coefficient of determination is 0.729. It means that the model fits the data appropriately as the dependent variable is explained by 72.9% or approximately 73% by the independent variables. Table 5 ANOVA Model Sum of Squares df Mean Square F Significance 1. Regression 24.450 3 8.150 86.264 0.000 Residual 9.070 96 0.094 Total 33.520 99 a. Dependent Variable: Sustainability of Textiles b. Predictors: (Constant), Economic, Social, Environment Table 5 represents that the statistical significance of the regression model is 0.000, which is less than 0.05 for a higher F (=86.264) value. It means that all the independent variables collectively and simultaneously can significantly influence the dependent variable, the sustainability of textiles. Therefore, H 0 is rejected. That means, Social, Environmental, and Economic concerns can have a positive impact on the sustainability of the textile industry in Bangladesh. Table 6 Coefficients Model Unstandardized Coefficients Standardized Coefficients t Significance Collinearity Statistics β Std. Error Beta Tolerance VIF 1 (Constant) -0.910 0.298 -3.056 0.003 Social 0.483 0.062 0.420 7.823 0.000 0.984 1.016 Environment 0.313 0.048 0.387 6.560 0.000 0.818 1.222 Economic 0.424 0.059 0.422 7.120 0.000 0.814 1.229 a. Dependent Variable: Sustainability of Textiles From table 6, the following regression equation can be developed. Regression Equation Sustainability of Textiles = -0.910 + (0.483 ˟ Social Concerns) + (0.313 ˟ Environmental Concerns) + (0.424 ˟ Economic Concerns) The value of the β coefficient from the above- mentioned Coefficient table indicates, how many units of dependent variable increases or decreases for a single unit increase in each independent variable. Here, the “1” unit increase in Social Concerns results in a “0.483” unit increase of Sustainability of Textiles. Similarly, a “1” unit increase in Environmental Concerns will increase the Sustainability of Textiles by “0.313” units and Economic Concerns by “0.424” units. Here, Social, Environmental, and Economical concerns all individually have a statistically significant impact on Sustainable textiles as their individual absolute t values are more than 2 (according to the 2-t thumb rule). No multicollinearity in this regression model as the values of VIF for all independent variables fall within the range of 1 to 10. b) Findings There are barriers and success of the textile industry of Bangladesh according to different stakeholders’ level. They are described below: c) Barriers The barriers of the three independent variables, i.e., social, environmental, and economic concerns are as follows: Volume XXII Issue VII Version I 84 ( ) Global Journal of Human Social Science - Year 2022 © 2022 Global Journals E Exploration of Barriers and Success Factors of Sustainability of the Bangladeshi Textile Industry at Various Stakeholders’ Level from Social, Environmental and Economical Concern