High level of carbon emissions is still a policy agenda because of its detrimental effect on environment. CO 2 emissions are growing quickly in emerging countries with the high energy consumption, industrial activities, and rapid globalization. So, it is important to examine the roles of emission-inducing factors in these countries. To this end, this research investigates the dynamic effects of energy intensity, renewable energy, industrialization, urbanization and international trade on carbon intensity in the 25 largest emerging economies of the world. The study is based on the data period of 1990–2018, where the Pool Mean Group (PMG) estimation technique of the panel Autoregressive Distributed Lag (ARDL) approach is used, along with different diagnostic tests. The findings are, in the long-run, carbon intensity is increased by energy intensity and industrialization, and decreased by renewable energy use and urbanization. An increase of one unit in energy intensity and industrialization increased carbon intensity by 2.616 unit and 0.002 unit, respectively. Conversely, carbon intensity reduced by 0.003 unit with an increase of one unit in renewable energy and urbanization. In the short-run, carbon intensity is positively associated with energy intensity only with a coefficient value of 0.811. Therefore, an increase in renewable energy production and use, and enhancement of green technology for industrial production can be viable options for carbon reduction. [Display omitted] • Renewable energy, energy intensity, industrialization, and carbon intensity. • Panel ARDL approach is applied on the 25 largest emerging economies. • Energy intensity and industrialization increase carbon intensity. • Renewable energy use and urbanization decrease carbon intensity. • An increase in renewable energy production and use is a viable policy option. [ABSTRACT FROM AUTHOR]