The escalating threat of climate change has placed carbon dioxide (CO₂) emissions at the forefront of global environmental policy. The relationship between carbon dioxide (CO₂) emissions and information technology (IT) is crucial in shaping international climate change strategies. This study investigates the impact of information technology, trade globalisation (TG), and economic complexity (EC) on CO₂ emissions in BRICS countries using panel data from 1996 to 2018. The analysis applies the CUP-FM estimator to assess long-run relationships and the Dumitrescu–Hurlin panel causality test to evaluate directionality. The results show that information technology significantly reduces CO₂ emissions. This effect is primarily driven by the promotion of the service sector, reduced material use, and improved energy efficiency. In contrast, trade globalisation has an inconsistent impact. While it can lower emissions through technology diffusion and efficiency gains, it can also increase them due to Scale Effects and the relocation of polluting industries. This study also identifies a U-shaped relationship between economic complexity and CO₂ emissions, indicating that emissions initially rise with complexity but decline as innovation and clean production practices improve. These findings suggest that developing digital infrastructure and green technologies and trade Globalisation can promote sustainable development in BRICS economies. Therefore, policymakers should prioritise strengthening the IT environment, fostering international trade partnerships, and integrating clean technologies to balance economic growth with environmental protection.

This study examines how economic growth, travel, global connection, and changes in population impact the environmental footprint in seven countries, including Russia, the US, China, France, the UK, Pakistan, and India, from 1995 to 2023. The results show a significant link between Granger’s environmental impact and some economic, non-economic, and population factors in these countries. According to the study, environmental impacts result primarily from economic expansion and tourism revenue generation. The essential activities in economic development frequently result in significant ecological deficits through natural resource depletion, land alterations, and environmental releases. Business enlargement and tourism income commonly bring about deforestation while causing both pollution and habitat damage, thus showing why sustainable practices must exist to protect nature during economic development. We also have to consider factors other than economics, such as total income from natural resources and using nuclear power early. Additionally, how many people live in a particular area and the number of children born contribute to these footprints. Also, this study shows how economic, non-economic and demographic issues can indicate what harm the environment might face later. This is especially important in countries that use nuclear energy extensively. The report suggests different ways to solve this problem. These include advocating for sustainable tourism practices, directing research efforts towards nuclear energy, supporting renewable energy initiatives, promoting family planning and education, and raising public awareness. The aim is to reduce the environmental harm caused by nuclear energy and promote a more sustainable future.

In contemporary discourse, nuclear energy (NE) is frequently regarded as a viable strategy for enhancing environmental sustainability. This study investigates the impact of tourism, gross domestic product (GDP), NE, urbanization, and the renewable energy transition (RET) on states reliant on nuclear power. The analysis employs fixed effect (FE), generalized method of moments (GMMs), fully modified ordinary least squares (FMOLS), and panel corrected standard errors (PCSE) methodologies. Two hypotheses are tested: an inverted U‐shaped relationship between income and ecological footprint (EF), and a U‐shaped relationship with load capacity. The findings indicate that GDP, NE, urbanization, tourism, and RETs significantly influence EF and load capacity. Causality tests reveal robust associations, corroborating the environmental Kuznets curve (EKC) and load capacity curve (LCC) hypotheses, thereby underscoring the necessity for sustainable energy policies. Policy recommendations advocate for the facilitation of clean energy transitions, sustainable tourism, and heightened environmental awareness to mitigate ecological pressures while fulfilling energy demands.