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The purpose of this study is to find the causal relationship among energy consumption (renewable energy and non-renewable energy), gross domestic product (GDP) growth and carbon dioxide (CO₂) emission for Brazil, Russia, India, China and South Africa for the period of 1990-2017.

The study uses bootstrap Dumitrescu and Hurlin panel causality test, which accepts heterogeneity and dependency in cross-sectional units across emerging countries.

The results find unidirectional causality from GDP to CO₂ for India, China, Brazil, South Africa and no causality for Russia. The causality results from renewable energy consumption to GDP show that there is evidence of feedback hypothesis for China and Brazil, growth hypothesis for Russia, conservation hypothesis for South Africa and neutrality hypothesis for India. However, the results accept growth hypothesis for India, China, Russia, Brazil and neutrality hypothesis for South Africa. In the case of renewable energy and non-renewable energy consumption to CO₂ emission, the results find convergence in India, Russia and South Africa and divergence in China and Brazil.

It is the first study that investigates the part of balanced economic growth, instead of simply financial development in those economies. Numerous studies have used diverse factors such as economic development, renewable energy, non-renewable energy and CO₂ emission; however, the examination has used total GDP growth rate, energy consumption and CO₂ emissions.

The purpose of this paper is to find out the relationship between energy consumption, economic growth and CO₂ emissions for the G7 countries over the period 1971–2014. The second intent of the paper is to make a comparison whether it is renewable energy consumption, non-renewable energy consumption, or both that determine sustainable economic growth in G7 countries.

The authors testify the relationship among energy consumption, economic growth and CO₂ emissions using numerous econometric techniques. The authors have applied pooled mean group autoregressive distribution model (ARDL) for long-run and short-run relationships for individual countries. Finally, the authors have applied Granger causality testing based on Dumitrescu and Hurlin (2012) and Emirmahmutoglu and Kose’s (2011) approach in order to check the causal relationship between energy consumption and economic growth, CO₂ emission and economic growth and vice versa.

However, energy usage is a greater concern due to the increase in imported energy prices. With this preposition, new thinking needs to be carried out for energy usage and sustainable economic growth. The authors consider cross-sectional reliance and cross-country heterogeneity for seven developed countries. The tests utilized in this investigation include the bootstrap causality approach of Dumitrescu and Hurlin (2012) and LA–VAR approach of Toda and Yamamoto (1995) that permits testing the causality for every individual panel individuals independently. However, not very many empirical works bring these two separate streams of writing together to analyze the causal connections between energy consumption, economic growth and CO₂ emission for G7 countries.

However, energy usage is a greater concern due to the increase in imported energy prices. Meanwhile, the exhaustive use of fossil fuels increases emission level which leads to climate change, global warming, reduction in agriculture productivity and danger to human life. With this preposition, new thinking needs to be carried out for energy usage and sustainable economic growth. There are limited number of studies addressing energy consumption, economic growth and CO₂ emission relationship. This study employs different methodology to find out the relationship among the variables.

In the recent international scenario, the rise of emerging economies, in particular, Brazil, Russia, India, China and South Africa (BRICS) has gained ample of attention. The global trade flows of the BRICS countries have significantly increased during the last one-and-a-half decade. The purpose of this paper is to examine the intra-BRICS and BRICS–EU trade flows.

To study the intensity of trade among BRICS countries and with EU, the Trade Intensity Index is employed for the period 2001–2015. Balassa’s revealed comparative advantage (RCA) index is computed for the assessment of comparative advantages of exports by BRICS countries in the year 2015 in the global markets. A comparative analysis of export similarity is done for India and other BRICS countries in EU.

The findings of trade intensity showed large bilateral trade flows among BRICS member. Russia has emerged as the main trading partner with EU in BRICS. For the year 2015, the comparative study of RCA at HS-two digits and HS-four digits classification highlights marginal structural changes in the export composition of these countries. The analysis revealed that Brazil and Russia have comparative advantages in natural resource-based products, while India and China possessed comparative advantages in manufactured and processed products. The export similarity index shows the presence of competition between India and China in EU.

This paper highlights the need for closer cooperation to promote intra-BRICS trade and to make structural transformations in the basket of trading products by them to have trade benefits at large.

Numerous studies are available on bilateral trade of BRICS members. However, limited studies are available to get a holistic view of intra-BRICS trade. This paper is an attempt to examine the BRICS countries trade profile both at global levels and within the group.