Browsing by Author "Makumbi, Rita"

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    Green Manufacturing and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Management Science Research, 2022) Rugasira, Jack; Moses, Agaba; Byarugaba Mbiito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiimwe, Jane
    The purpose of this study was to empirically establish the relationship between green manufacturing and environmental sustainability in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analysing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. Results indicate that Pearson’s correlation results indicate a relatively moderate, positive and significant association between Green manufacturing and Environmental Sustainability in Kampala industries The findings show that there was a low but significant positive correlation (r= 0.323, sig 000, p< .01) between green manufacturing and environmental sustainability. This implies that any improvements made in Green manufacturing can be associated positively with changes in Environmental Sustainability in Kampala. The study results concluded that green manufacturing contributed very little to environmental sustainability. The study, therefore, concludes that findings are not supportive of The National Environment Act, 2019; specifically concerning control of pollution and environmental emergency preparedness and management of waste. It also has a limited effect on environmental sustainability.
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    Green Sourcing and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Management Science Research (, 2022) Rugasira, Jack; Moses, Agaba; mbito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiime, Jane
    The purpose of this study was to empirically establish the relationship between green sourcing and environmental sustainability in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analyzing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. Results indicate that Pearson’s correlation results indicate a relatively moderate, positive and significant association between Green Sourcing and Environmental Sustainability in Kampala industries (r= 0.558, sig .000, p< .01) ; Multiple regression results indicated that Green sourcing (β = 0.387) was found to significantly predict Environmental Sustainability in Kampala industries. Green sourcing has a significant effect on Environmental Sustainability in Kampala industries. The study recommended that National Environment Management Authority (NEMA) takes deliberate steps to try to step adherence to green sourcing by Manufacturing by empowering the enforcement department.
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    Green Transportation and Environmental Sustainability in Selected Manufacturing Entities in Kampala District, Uganda
    (International Journal of Academic Accounting, Finance & Management Research, 2022) Rugasira, Jack; Moses, Agaba; Byarugaba Mbiito, Jotham; Makumbi, Rita; Kyotuheire, Jill; Asiime, Jane
    The purpose of this study was to empirically establish the relationship between green Transportation and environmental sustainability in the Kampala district. The hypothesis of the study stated that there is a significant relationship between green transportation and environmental sustainability in selected manufacturing entities in the Kampala district. The study employed a cross-sectional design. The study also used quantitative approaches in collecting and analysing the data both descriptively and inferentially. The study population was 675 manufacturing entities. Using the purposive sampling technique, the study took a sample of 248. Data were obtained from 186 usable questionnaires. The researcher applied Statistical Package for Social Scientists (SPSS) to test all four hypotheses. The results are presented in terms of descriptive statistics and inferential statistics in terms of correlation analysis, simple regression and multiple regression analysis models. The findings show that there was a very low but positive correlation (r= 0.297, sig .000, p< .01) between Green Transportation and Environmental Sustainability. This implies that any improvements made in green transportation can be associated positively with environmental sustainability in Kampala. Green Transportation reflects a small F-statistic of 17.841 indicating the statistical significance of each of the regression coefficients. Green Transportation reflects a small F-statistic of 17.841 indicating the statistical significance of each of the regression coefficients. The findings further confirm that Green Transportation has little effect on Environmental Sustainability. It is therefore recommended that the education department of the National Environment Management Authority approaches the non-compliant firms and educates them on the best ways of cost effectively adopting green transportation to offset their fears about costs involved in adopting Green Transportation; many of which are groundless.