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The study seeks to examine the significance of the tourism-induced growth hypothesis from the perspective of air transportation among seven emerging (E7) countries, including China, India, Brazil, Mexico, Russia, Indonesia, and Turkey. The combined impact of energy consumption and globalization was also factored into the analysis in order to draw cogent implications for environmental quality as energy demand in E7 economies continues to rise amidst growing urbanization in recent times. The study leverages on secondgenerational panel data estimators, namely cross-sectional autoregressive distributed lag, augmented Mean Group, and Dumitrescu-Hurlin Causality techniques. Having established a long-run equilibrium relationship among the outlined variables, the result validates the pertinent role of air transport in enhancing economic growth as a percent rise in airline passengers' arrivals significantly enhances growth in the E7 economies by 0.77%. In addition, the feedback causality between the variables also strengthens the pivotal roles of air transport in economic growth, thereby giving credence to the tourism-led growth hypothesis (TLGH) in the E7. However, there are detrimental environmental implications for the E7 when considering the causal nexus between economic growth and the dynamics of carbon-inducing energy consumption among the countries. Hence, investments in clean energy and transport infrastructures are recommended to ensure a sustainable environment where the tourism industry can flourish.

The outbreak of the contagious pandemic Covid-19 has disturbed various economic and business activities across the globe. This has resulted in the declination of cash flows and revenues, which significantly increases the probability of corporate bankruptcies and adversely affects the stock market performance. The current study investigated the Covid-19 and stock market nexus whilst considering the Shanghai Stock Exchange (SSX). Covid-19 active cases and deaths have been considered proxies for the Covid-19 from 1 April 2020 to 30 July 2020. For empirical analysis, this study utilised quantile regression and dynamic ordinary least squares (DOLS). Empirical findings of both quantile regression and DOLS illustrate that both the Covid-19 active cases and deaths significantly decline the SSX closing index. However, the quantile estimates reveal that from lower (0.25) quantile to medium (0.50) to higher (0.75) quantile, the magnitude of these variables is found declining. Moreover, the frequency domain causality test confirmed the unidirectional causal relationship between the study variables, running from Covid-19 cases and deaths to the SSX. The findings are robust, which leads to providing practical policy implications that identified the need to revise health-finance-related policies and financial education to combat such circumstances in the future.

The study seeks to examine the significance of the tourism-induced growth hypothesis from the perspective of air transportation among seven emerging (E7) countries, including China, India, Brazil, Mexico, Russia, Indonesia, and Turkey. The combined impact of energy consumption and globalization was also factored into the analysis in order to draw cogent implications for environmental quality as energy demand in E7 economies continues to rise amidst growing urbanization in recent times. The study leverages on secondgenerational panel data estimators, namely cross-sectional autoregressive distributed lag, augmented Mean Group, and Dumitrescu-Hurlin Causality techniques. Having established a long-run equilibrium relationship among the outlined variables, the result validates the pertinent role of air transport in enhancing economic growth as a percent rise in airline passengers' arrivals significantly enhances growth in the E7 economies by 0.77%. In addition, the feedback causality between the variables also strengthens the pivotal roles of air transport in economic growth, thereby giving credence to the tourism-led growth hypothesis (TLGH) in the E7. However, there are detrimental environmental implications for the E7 when considering the causal nexus between economic growth and the dynamics of carbon-inducing energy consumption among the countries. Hence, investments in clean energy and transport infrastructures are recommended to ensure a sustainable environment where the tourism industry can flourish.

The COVID-19 pandemic has reached more than 215 countries across the globe, and it has also led to severe damage to the worldwide financial markets. Therefore, the current study explores the role of the novel COVID-19 pandemic, the energy prices, and the subsequent financial uncertainty on the US market’s environment and social responsibility index (ESRI), which is considered a good representation of the global market. The study has applied Quantile Autoregressive Lagged Approach (QARDL) for estimation using data from January 2010 to July 2021. The findings of the aforementioned relationships have been reported to be similar to the outcomes that have been observed for the short run, as reported in the longer period of time. Precisely, for energy prices and ESRI, the nature of the relationship remains negative. Moreover, in terms of the relationship between the financial uncertainty and ESRI, the nature of the relationship remains negative, while for the relationship observed between COVID and ESRI, the nature of the relationship remains positive. Based on these findings, maintaining the level of compliance towards ESRI, following the relevant SOPs, and improving the productivity of energy resources are viable measures that can be recommended

The outbreak of the contagious pandemic Covid-19 has disturbed various economic and business activities across the globe. This has resulted in the declination of cash flows and revenues, which significantly increases the probability of corporate bankruptcies and adversely affects the stock market performance. The current study investigated the Covid-19 and stock market nexus whilst considering the Shanghai Stock Exchange (SSX). Covid-19 active cases and deaths have been considered proxies for the Covid-19 from 1 April 2020 to 30 July 2020. For empirical analysis, this study utilised quantile regression and dynamic ordinary least squares (DOLS). Empirical findings of both quantile regression and DOLS illustrate that both the Covid-19 active cases and deaths significantly decline the SSX closing index. However, the quantile estimates reveal that from lower (0.25) quantile to medium (0.50) to higher (0.75) quantile, the magnitude of these variables is found declining. Moreover, the frequency domain causality test confirmed the unidirectional causal relationship between the study variables, running from Covid-19 cases and deaths to the SSX. The findings are robust, which leads to providing practical policy implications that identified the need to revise health-finance-related policies and financial education to combat such circumstances in the future.