IMPACT ON SOCIO ECONOMIC PARAMETERS OF GREEN INDUSTRIALIZATION IN BANGLADESH

This study aims to guide the analysis process and the interpretation of results. Closely linked to the conceptual framework that was chosen for the purposes of this study. Science the birth of this fertile land poverty has been a common problem. Poverty is a chronic and complex problem for Bangladesh and women are severely affected by it due to lack of access to resources, income generating activities, decision-making process and political participation. At present the government has taken various steps for the green industry established in RMG sectors of Bangladesh. The study was conducted April 2019 to August 2019 at Narayanganj District of Bangladesh. The selected characteristics viz. age, education , family size, yearly salary, yearly savings, training exposure, cosmopoliteness, decision making ability, service length, knowledge on green industrialization and pro in garments were considered as the independent variables. It was assumed that these independent variables might have contribution to the green industrialization in the RMG sector of Bangladesh. Two green industries of Narayanganj District were purposively considered for the study. Data were collected from a sample of randomly selected 263 RMG Workers and Supervisors out of 840 from the mentioned two (2) RMGs. Simple and direct questions with different scales were used to obtained information. Eleven (11) selected characteristics of the RMG Workers and Supervisors were considered as the independent variables. The correlation coefficient was initially computed to determine the relationships among all the variables. The analyses indicated that out of 11 variables only 4 variables namely decision making ability, knowledge, cosmopolitness and education had significant contribution and effect to/on the green industrialization of RMGs as perceived by the Workers and Supervisors. The result indicated that the whole model of 11 independent variables explained 63.5 per cent of the total variation in green industrialization of RMG.