The transition towards a green economy is crucial for sustainable development, yet existing research often examines key elements such as green tax, green logistics, green climate finance, green technology, and environmental sustainability in isolation. This fragmented approach fails to capture the interconnectedness and comprehensive impact of these factors. Thus, this study aims to address this gap by developing an integrated model to explore the relationships between these green factors and their collective influence on the green economy. Additionally, it investigates the mediating roles of green technology and sustainability in the green economy. Data were randomly collected from 423 managerial-level individuals across various manufacturing industries in Bangladesh through independent online surveys. “Structural Equation Modeling (SEM) was used to test direct and mediating relationships, while Artificial Neural Network (ANN) was employed to rank the factors based on their impact on the green economy. The SEM analysis revealed that green tax, green logistics, green climate finance, green technology, and environmental sustainability all positively and significantly impact the green economy. Furthermore, environmental sustainability was found to mediate the relationship between green climate finance and the green economy. ANN analysis ranked green logistics as the most critical factor, followed by green tax, environmental sustainability, green technology, and green climate finance. The findings offer valuable insights for policymakers, managers, and practitioners by highlighting the importance of an integrated approach to fostering a green economy for sustainable development. Policymakers can leverage these insights to develop comprehensive strategies that optimize resource allocation and prioritize interventions based on the ranked importance of green factors.
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