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This study investigates the impact of human activities on environmental degradation, focusing on the roles of urbanization, economic growth, energy intensity and renewable energy within the STIRPAT framework. To this end, the study adopts the ecological footprint (EF) as the environmental indicator. Employing Panel Quantile Regression, the study analyzes data from 31 OECD countries spanning the period 2000–2021. The findings reveal that renewable energy consumption and urbanization exert significant negative influences on the EF, with urbanization proving more effective than renewable energy usage across all quantiles. Both economic growth and energy intensity contribute to environmental degradation, and the impact on the EF escalates with higher quantiles. Additionally, the causality test results demonstrate a two-way causal link among urbanization, economic growth, energy intensity, renewable energy use, and EF. Finally, based on the empirical results, this paper suggests that an energy revolution should be carried out to promote the sustainable use of energy. Meanwhile, the high-level urbanization is suggested to reduce the EF through the aggregation of living production to achieve sustainable development. [Display omitted] • Sustainable use of energy can help curb environmental degradation. • Urbanization more effective than renewable energy consumption in suppressing EF. • Economic growth inhibits environmental quality. • This study employed the quantile regression method. [ABSTRACT FROM AUTHOR]

Based on 196 prefecture-level cities in China from 2006 to 2021, this paper constructs a weight matrix of urban economic geography and uses the spatial differential model to verify the impact of smart city policies on urban green energy efficiency. The results show that the efficiency value of green energy fluctuates in Chinese cities. Different test results show that smart city policies can effectively improve urban green energy efficiency, but mainly from the time effect rather than the individual effect. It means the improvement in urban green energy efficiency comes more from the fast-growing of the Chinese economy and urban construction in this period than from the country's smart city pilot policy. In addition, from the spatial spillover effect result, China needs to design a better urban spatial development plan to improve the capacity of smart city energy services and vigorously develop intelligent technology represented by information and communication science. [ABSTRACT FROM AUTHOR]

Due to high consumption of energy, its associated concerns such as energy security and demand, wastage of resources, and material-energy recovery are leading to the importance of sustainable energy system development. This is a high time to assess the sustainability in energy systems for meeting the requirements of energy with an enhanced economic, ecological, and social performance from a nation context. The energy system plays a significant role in deciding the economic progress of emerging economies such as India, China, Brazil, and Africa. In this paper, an original attempt has been made to list and evaluate important indicators for sustainability assessment of energy systems development and management in an emerging economy especially India. Firstly, based on the analysis of the extant literature and then followed by expert opinion, potential key sustainability assessment indicators for energy systems development and management were identified. Further, grey based Decision-Making Trial and Evaluation Laboratory technique to understand the causal interactions amongst indicators and segregate them into cause and effect groups, is used. This work can provide useful aids to decision making bodies, sustainability practitioners and business organisations in selective implementation, monitoring and control of sustainable strategies in energy systems development and management and meeting sustainable development goals of clean energy in a nation context. Image 1 • Clean energy is a major challenge for sustainable development. • The energy system contributes to a significant extent to a nation economy. • This work evaluated the indicators for sustainability of energy systems in an emerging economy. • Grey-DEMATEL is applied to understand the causal interactions amongst indicators. • 'Adoption of energy management systems (ISO 50001:2011) and 'Developing system capabilities' are significant indicators. [ABSTRACT FROM AUTHOR]