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Bangladesh has pool of entrepreneurs whereas there are also new establishments; new employment opportunities and so are the income sources. For the better measurement of entrepreneurship characteristics, the growth and different indicators impact on entrepreneurship needs to be identified. Thus this paper tries to find out the key economic indicators of entrepreneurship in the context of Bangladesh. The research is based on secondary research; has used entrepreneurship as a dependent variable proxied by self-employment and seven independent variables—per capita income, unemployment rate, labor force, industrial structure change, capital, human capital and literacy rate. Two regression models have been used encompassing the stated variable data from year 2008 to 2018. In the first regression analysis it has been tried to identify whether the model can be constructed with the overall economic variables with the self employment. At second regression model it has been tried to find out whether there is the explain ability of the variables result in the regression analysis and what is the degree and pattern of the relationship. The research shows that literacy rate and human capital have aligned with the self employment. But all the other variables are not matched with the self employment and could not provide the support for self employment to thrive. And the linear regression analysis shows that per capita income, labor force and literacy rate play the most important role in case of nourishing self employment. Unemployment rate is found as contradictory with the findings in the context of Bangladesh.

The purpose of this paper is to find out the impact of Green Supply Chain managerial practices on environmental sustainability in the garment factories of Bangladesh. A combination of qualitative and quantitative methods has been used to gather data through a survey. The survey respondents were mid-level SCM managers of 60 garment factories located in Gazipur. Descriptive data analysis, regression model and ANOVA have been used to show the impact of the independent variables on ‘Environmental Sustainability’. This paper has revealed that 4 variables have a statistically significant relation with the dependent variable and that lack of knowledge and government initiatives are the main reasons for low environmental sustainability. The research identifies the government initiatives that need to be taken and it also claims that there should be awareness about the significance of environmental sustainability among managers and the workforce to achieve environmental sustainability. This is important for Bangladesh, because environmental sustainability has a positive impact on the economy of the country. Previous literature has shown the benefits of GSCM and its impact on environmental sustainability in other countries. Whereas, this paper shows the current GSCM practices of the readymade garment factories of Bangladesh and shows the impact of the practices on Environmental Sustainability. The paper shows the practices that have positive and negative impact on the sustainability of the environment and it also comes up with the reasons why certain practices have a negative impact. Thus, this will help the government of Bangladesh to know about the practices that need to be continued and those that need to be improved.