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The RINGDOC database of Derwent Publications Ltd. is the world's most comprehensive database covering pharmaceutical literature. RINGDOC contains over 500,000 references from 1964 to date and is searched using two indexing systems. Codeless scanning is a system of searching keywords and the Ring Code system is a unique method of searching chemical substructures and biological activities. This paper looks briefly at the history and structure of the RINGDOC database and describes methods of searching it.

This study aims to examine the relationship between financial development (FD), financial risk, green finance and innovation related to carbon emissions in the G7 economies.

This quantitative study examines the roles that financial development [FD: Domestic credit to private sector by banks as percentage of gross domestic product (GDP)], economic growth (GDP: Constant US$ 2015), financial risk index (FRI), green finance (GFIN: Renewable energy public research development and demonstration (RD&D) budget as percentage of total RD&D budget), development of environment-related technologies (DERTI: percentage of all technologies) and human capital (HCI: index) have on the environmental quality of developed economies. Based on panel data, the study uses a novel approach method of moments quantile regression as a main method to tackle the issue of cross-sectional dependency, slope heterogeneity and nonnormality of the data.

The study confirms that increasing economic development increases emissions and negatively impacts the environment. However, efficient resource allocation, improved financial systems, and green innovation are likely to contribute to emission mitigation and the overall development of a sustainable viable economy. Furthermore, the study highlights the importance of risk management in financial systems for future emissions prevention.

The study uses a reliable estimation procedure, which extends the discussion on climate policy from a COP-27 perspective and offers practical implications for policymakers in developing more effective emission mitigation strategies.

The study offers policy suggestions for a sustainable economy, focusing on both COP-27 and the G7 countries. Recommendations include implementing carbon pricing, developing carbon capture and storage technologies, investing in renewables and energy efficiency and introducing financial instruments for emission mitigation. From a COP-27 standpoint, the G7 should prioritize transitioning to low-carbon economies and supporting developing nations in their sustainability efforts to address the pressing challenges of climate change and global warming.

In comparison to the literature, this study examines the importance of financial risk for G7 economies in promoting a sustainable environment. More specifically, in the context of FD and national income with carbon emissions, previous researchers have disregarded the importance of green innovation and human capital, so the current study fills the gap in the literature related to G7 economies by exploring the link between the identified variables related to carbon emissions.

This study aims to attempt to investigate the time-varying causality and price spillover effects between crude oil and exchange rate markets in G7 economies during the COVID-19 and Russia–Ukraine crises.

This study uses time-varying Granger causality test and spillover index.

This study finds a time-varying causality between exchange rate returns and oil prices, implying that crude oil prices have the predictive power of the foreign exchange rate markets in G7 economies in their domain. Furthermore, the total spillover index is estimated to fall significantly around COVID-19 and war events. However, this index is relatively high – more than 57% during the first wave of COVID-19 and decreasing slightly during the Russia–Ukraine conflict.

This outcome supports the hypothesis that the majority of the time-varying interaction between exchange rates and oil prices takes place in the short term. As a result, the time-varying characteristics provide straightforward insight for investors and policymakers to fully understand the intercorrelation between oil prices and the G7 exchange rate markets.

First, this study has reexamined the oil–exchange rate nexus to highlight new evidence using novel time-varying Granger causality model recently proposed by Shi et al. (2018) and the spillover index proposed by Diebold and Yilmaz (2012). These approaches allow the author to improve understanding of time-varying causal associations and return transmission between exchange rates and oil prices. Second, compared to past papers, this paper has used data from December 31, 2019, to October 31, 2022, to offer a fresh and accurate structure between the markets, which indicates the unique experience of the COVID-19 outbreak and Russia–Ukraine war episodes. Third, this study analyzes a data set of seven advanced economies (G7) exhibiting significant variations in their economic situations and responding to global stress times.

This paper attempts to assess the economic growth prospects of the BRICS countries and their potential ability to challenge and overtake the G7 countries. Specifically, the purpose of this paper is to answer the following question: Do the BRICS represent a tangible economic threat to surpass the G7, and if so, how?

The authors adopt a qualitative research method based on secondary data sources, such as journal publications, reports published by international organizations, and newspaper and magazine articles. Data from these different sources is compiled and presented in tabular form to provide logical support to the arguments.

Based on the data analysis, the authors conclude that the BRICS have the potential to overtake the G7 in the long run. However, this objective is not likely to be as easy as presumed by economists, since a number of factors and uncertainties may deter the growing economic power and influence of the BRICS.

At present, there is hardly any study or research in the available literature that compares these two blocs of countries. Hence, this comparative study will contribute significantly toward the advancement of future comparative economic studies.

The purpose of this paper is to explore the competitiveness and convergence of the G7 and big emerging markets (BEM) nations using various economic, demographic, trade, investment, and freedom and governance criteria.

The two groups of nations, G7 and BEM, are compared on the basis of various longitudinal and cross‐sectional variables. The longitudinal variables are GDP and real GDP growth, per capita GDP, international trade, foreign direct investment, index of ageing, and life expectancy at birth. Cross‐sectional competitive indices are Global competitiveness index, index of economic freedom, Democracy index, Human development index, Gini index, Government effectiveness, and Corruption perception index.

The findings show that BEM is growing faster than G7 in most economic indicators including GDP, trade, and investment. The growth results in some form of convergence. The freedom and governance infrastructure of the BEM is relatively weak to support their economic growth. The primary challenge of the BEM is coming from the economic interdependence they create in a globalized economy. Overall, the growth presents a new political reality that the world must recognize.

National competitiveness is a long‐term issue. A 30‐year longitudinal analysis may not be long enough to accurately reflect a nation's performance. Evidently, wealth creation in the emerging markets has profound influence in noneconomic areas. Political polarization and military confrontation are not unlikely.

Governments and businesses in G7, BEM, or the Association of Southeast Asian Nations (ASEAN) nations and institutions involved in global governance (e.g. World Bank, IMF, and WEF) may use the findings of the study to determine their policies. We should pay special attention to the global economic interdependence and guard against the negative effects of emerging markets' growth.

The comparative analysis between the G7 and BEM in terms of competitiveness and convergence is an original contribution. Also, the author's insight beyond economics is a unique section to follow. The author is not aware of any other study that has used the two concepts competitiveness and convergence together to understand the emerging markets.

The purpose of this paper is to examine volatility spillover from the Chinese stock market to E7 and G7 stock markets. Using the estimated results, the authors also analyze the optimal weights and optimal hedge ratios for the portfolios including stocks from E7 and G7 countries.

The authors employed generalized vector autoregressive-generalized autoregressive conditional heteroskedasticity approach, developed by Ling and McAleer (2003), in order to analyze daily data on the national stock indices. Considering the late establishment of some E7 stock markets, the sampling covers the period from 1995 through 2015.

The findings indicate significant volatility spillover from the Chinese stock market to E7 and G7 stock markets. In particular, the Chinese stocks highly co-move with the stocks of countries within a same geographical region. While the highest volatility spillover occurs between China and India among E7 countries, the highest volatility spillover occurs between China and Japan among G7 countries. Furthermore, the examination of optimal weights and hedge ratios suggest that investors should hold more stocks from G7 countries than E7 countries for their portfolios.

To the best of the authors’ knowledge, this is the first study which investigates the volatility spillover in the stock markets of G7 and E7 countries. Moreover, the current study contributes particularly to the existing limited literature on the Chinese stock market. Since the Chinese stock market is not fully integrated to other markets and it is subject to intense government interventions, there is a widely accepted belief that the contagion effects from the Chinese stock market to other stock markets are not influential. This view discourages and limits the prospect studies. However, the findings of this paper refute this view and indicate significant interaction among the Chinese stock market and E7 and G7 stock markets.

This study aims to examine the effect of environmental, social and corporate governance (ESG) scores on stock markets for the period from February 2018 to December 2022 for G7 countries. Even though ESG is an established area of investigation, prior research has paid inadequate attention to the nexus of ESG scores and stock markets in G7 (Germany, USA, UK, Italy, France, Japan and Canada) countries.

This study covers G7 countries and uses a data set, which includes ESG scores and stock market returns from reporting channels including financial websites, and international indexes, between February 2018 and December 2022. Cross-section dependency and homogeneity tests were used with Konya (2006) panel causality test to investigate the relations of ESG scores and stock markets, and the research also conducted a separate analysis for each sub-dimension. Homogeneity/heterogeneity tests were also carried out in the research.

The findings suggest that causality from ESG scores to stock market (DAX) was determined only for Germany. Accordingly, it is understood that German companies have started to implement corporate social responsibility and ESG practices in their management strategies and reporting. These findings offer important implications for those who are considering investing in G7 countries, whether or not to consider ESG scores.

In this context, the research contributes to the existing literature on the relationships between ESG scores and stock markets, which are seen as a vital tool to meet the expectations of stakeholders.

This paper investigates the probable differential impact of the confirmed cases of COVID-19 on the equities markets of G7 and Nordic countries to ascertain possible interdependencies, diversification and safe haven prospects in the era of the COVID-19 pandemic over the short-, intermediate- and long-term horizons.

The authors apply a unique methodology in a denoised frequency-domain entropy paradigm to the selected equities markets (Li et al. 2020).

The authors’ findings reinforce the operability of the entrenched market dynamics in the COVID-19 pandemic era. The authors divulge that different approaches to fighting the pandemic do not necessarily drive a change in the deep-rooted fundamentals of the equities market, specifically for the studied markets. Except for an extreme case nearing the end (start) of the short-term (intermediate-term) between Iceland and either Denmark or the US equities, there exists no potential for diversification across the studied markets, which could be ascribed to the degree of integration between these markets.

The authors’ findings suggest that politicians should pay closer attention to stock market fluctuations as well as the count of confirmed COVID-19 cases in their respective countries since these could cause changes to market dynamics in the short-term through investor sentiments.

The authors measure the flow of information from COVID-19 to G7 and Nordic equities using the entropy methodology induced by the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN), which is a data-driven technique. The authors employ a larger sample period as a result of this, which is required to better comprehend the subtleties of investor behaviour within and among economies – G7 and Nordic geographical blocs – which largely employed different approaches to fighting the COVID-19 pandemic. The authors’ focus is on diverging time horizons, and the ICEEMDAN-based entropy would enable us to measure the amount of information conveyed to account for large tails in these nations' equity returns. Furthermore, the authors use a unique type of entropy known as Rényi entropy, which uses suitable weights to discern tailed distributions. The Shannon entropy does not account for the fact that financial assets have fat tails. In a pandemic like COVID-19, these fat tails are very strong, and they must be accounted for.

This paper aims to analyse the technological, economic and environmental impacts of disruptive innovations in the transportation mobility market.

The paper gathered data from World Bank and 13 open sources in an exploratory, descriptive and applied investigation on potentially disruptive transport innovations outcomes in G7 and BRICS (Brazil, Russian Federation, India, China and South Africa) economies, businesses and societies.

The results suggest positive implications for technological leapfrogging of electric vehicles (EV), autonomous vehicles (AVs) and electric vertical take-off and landing (eVTOLs), such as gains in energy consumption, infrastructure improvement, greenhouse gas emissions reduction, economic growth and the opportunity for new disruptive technologies to improve or even revolutionize the transportation ecosystem.

This study has clear limitations as it compares G7 and BRICS hypothetical scenarios where internal combustion vehicles were replaced by new technologies, ceteris paribus. Even so, as theoretical implications, the study presents market scenarios for EVs, AVs and eVTOLs technologies, bringing benefits to the disruptive innovation theory by expanding the understanding of the subject and also opening avenues of investigation by exploring new technological, economic and environmental possibilities.

This study emphasises potentially disruptive technologies’ technological, economic and sustainable benefits to countries through technological leapfrogging. The organizations can delve into results to investigate forthcoming markets and seek advantageous positions. Economic and social gains from leapfrogging could motivate government bodies to finance research focusing on EVs, AVs and eVTOLs diffusion.

The paper’s originality resides in aggregating multiple data sources to compare technological leapfrogging in G7 and BRICS transportation. The different views allowed for exploring the potential outcomes of EVs, AVs and eVTOLs on economic, sustainability and market dimensions in developed and developing countries.