<![CDATA[In developing economies, the pressure to achieve environmental sustainability is growing as digital transformation and energy transition take precedence. However, empirical evidence on the relationship between digital governance, the adoption of technological innovations, and renewable energy, and its impact on the environment is still scarce. This study investigates the direct and interactive effects of e-government, technological innovations, and renewable energy use on pollution reduction in the Next Eleven (N-11) economies from 2003 to 2022. This study proposes a triadic framework for the direct and indirect effects of digital governance on the environment based on two theoretical models: the Environmental Kuznets Curve (EKC) and the Technology Acceptance Model (TAM). Per capita CO₂ emissions were used as a proxy for environmental quality, and the United Nations E-Government Development Index (EGDI) was used as a proxy for e-government. Cross-Sectionally Augmented Autoregressive Distributed Lag (CS-ARDL), Common Correlated Effects Mean Group (CCEMG), Augmented Mean Group (AMG), and dynamic generalised method of moments (GMM) estimators are employed to solve the problems of cross-sectional dependence, heterogeneity, endogeneity, and dynamic relationships. The results show that e-government has a significant negative effect on environmental pollution in both the short and the long run. Technological advancements and the use of renewable energy have their own impacts on reducing emissions and enhancing the environmental impact of digital governance. The results of the marginal effects analysis also show that the pollution-decreasing effect of digital governance increases significantly with improvements in innovation and renewable energy use. Human capital development and environmental taxation contribute to improving the environment, whereas dependency on natural resources creates environmental pressure. The findings of this study assist in growing the literature on digital sustainability by offering evidence that three case variables–digital governance, technological innovation, and renewable energy transition – are complementary drivers of environmental performance in developing economies. The results indicate that policies to foster integrated digital governance systems, innovation ecosystems, and renewable energy growth could help accelerate pollution reduction and transition to more sustainable models of development in emerging economies.]]>
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