Factors Affecting Green Transformation in Industrial Clusters in Hanoi, Vietnam

Although previous studies on green transformation mainly emphasize macro-level policies and environmental management, empirical analyses focusing on industrial clusters in Vietnam remain limited. This paper investigates the factors affecting green transformation in industrial clusters in Hanoi, Vietnam. Based on the theoretical framework of institutional theory and resource-based view, a structural equation modeling (SEM) approach was applied to identify and measure the effects of key determinants, including institutional framework, human resources, financial resources, innovation capacity, and environmental regulation. Data were collected from 300 valid responses across 8 industrial clusters in Hanoi. The measurement model was validated using Cronbach’s Alpha, EFA, and CFA, with good reliability and fit indices (GFI = 0.917, CFI = 0.959, RMSEA = 0.043). SEM results indicate that financial resources exert the most substantial positive influence on the effectiveness of green transformation policies, followed by human resources. The study contributes empirical evidence to the understanding of micro-level dynamics driving green transformation within Vietnam’s industrial clusters and offers managerial and policy implications for promoting sustainable industrial development.