Green stocks, crypto asset, crude oil and COVID19 pandemic: Application of rolling window multiple correlation.

The COVID-19 pandemic disrupted almost all spares of global social, psychological, and economic life. The emergence of various variants and corresponding variations in daily infection asymmetrically influenced economic indicators. This study extends the existing literature by exploring the hedging potential of crude oil, carbon efficiency index of green firms, and bitcoin during this pandemic.

Examining the relationship between fiscal decentralization, renewable energy intensity, and carbon footprints in Canada by using the newly constructed bootstrap Fourier Granger causality test in quantile.

Current paper studies the nexus between fiscal decentralization, renewable energy intensity, and carbon footprints in Canada. Preliminary empirical findings strictly reject the preposition of data normality and highlight that the observed nexus is quantile dependent. Additionally, our test looks for systematic deviations from zero in the causality at a certain quantile and frequency.

Exploring the co-movements between COVID-19 pandemic and international air traffic: A global perspective based on wavelet analysis.

The travel and tourism industry was one of the fastest-growing industries before the onset of the COVID-19 pandemic. However, to avoid COVID-19 spread, the government authorities imposed strict lockdown and international border restrictions except for some emergency international flights that badly hit the travel and tourism industry. The study explores the nexus between international air departures and the COVID-19 pandemic in this strain.

A Systematic Review of Barriers in Adoption of Environmental Management Accounting in Chinese SMEs for Sustainable Performance.

Small- and medium-sized enterprises (SMEs) play an important role in sustainable development not only for their significant contribution to China's economy but also for their large share of total discharged pollutants. Despite the widely acknowledged importance and benefits of environmental management accounting (EMA), the level of adoption and implementation of EMA practice is still weak within SMEs in many countries, especially in China. The current systematic review aims to identify the barriers affecting the Chinese SMEs for adopting EMA practices along with the critical success factors required for adopting EMA practices by SMEs and their top management for ensuring sustainable corporate environmental performance in China.

Investigating the existence of asymmetric environmental Kuznets curve and pollution haven hypothesis in China: Fresh evidence from QARDL and quantile Granger causality.

This study aims to analyze the asymmetric long-run relationship between economic growth (EG), foreign direct investment (FDI), and carbon emissions (CO) within the context of the environmental Kuznets curve (EKC) and the pollution haven hypothesis (PHH) in China. Employing the quarterly data from 1982Q1 to 2018Q4, we have used novel techniques to meet the stated objectives of our study, named quantile ARDL and quantile Granger causality. The study provides novel outcomes using the advanced quantile ARDL and quantile Granger causality tests.

Nexus Between Foreign Direct Investment Inflow, Renewable Energy Consumption, Ambient Air Pollution, and Human Mortality: A Public Health Perspective From Non-linear ARDL Approach.

A huge foreign direct investment (FDI) inflow has been witnessed in China, though on the one hand, it brings a significant contribution to economic growth. On the other hand, it adversely affects the ambient air pollution that may affect human mortality in the country. Renewable energy (RE) usage meets the country's energy needs with no adverse effect on the environment.

Impact of human capital and financial globalization on environmental degradation in OBOR countries: Critical role of national cultural orientations.

As regional economic integration and climate change are among the most important phenomena influencing economic and social sustainability in the modern world, a huge volume of research is directed towards these topics nowadays. The aim of this study is to explore the impact of financial globalization and human capital on environmental degradation in One Belt One Road (OBOR) countries in a cultural context that is largely under-explored in spite of being immensely crucial for fulfilling the United Nations' agenda on climate change mitigation. Owing to the presence of vast cultural differences, we check if the national scores on "Power Distance Index" and "Uncertainty Avoidance" in these countries matter for the environment.

Investigating the Co-movement Nexus Between Air Quality, Temperature, and COVID-19 in California: Implications for Public Health.

This research aims to look at the link between environmental pollutants and the coronavirus disease (COVID-19) outbreak in California. To illustrate the COVID-19 outbreak, weather, and environmental pollution, we used daily confirmed cases of COVID-19 patients, average daily temperature, and air quality Index, respectively. To evaluate the data from March 1 to May 24, 2020, we used continuous wavelet transform and then applied partial wavelet coherence (PWC), wavelet transform coherence (WTC), and multiple wavelet coherence (MWC).

When would the dark clouds of financial inclusion be over, and the environment becomes clean? The role of national governance.

On one side, the rapid progress in financial development boosts economic growth. On the other hand, it forces both the developed and emerging countries to play the role of good governance that help save the environment. The current study aims to identify the role of national governance in the relationship between financial inclusion and ecological footprints.

Climate indicators and COVID-19 recovery: A case of Wuhan during the lockdown.

The world needs to get out of the COVID-19 pandemic smoothly through a thorough socio-economic recovery. The first and the foremost step forward in this direction is the health recovery of the people infected. Our empirical study addresses this neglected point in the recent research on COVID-19 and specifically aims at exploring the impact of the environment on health recovery from COVID-19.

Non-linear spatial linkage between COVID-19 pandemic and mobility in ten countries: A lesson for future wave.

Background: Restrictive measures enacted in response to the COVID-19 pandemic have resulted in dramatic and substantial variations in people's travel habits and behaviors worldwide. This paper empirically examines the asymmetric inter-linkages between transportation mobility and COVID-19.

Methods: Using daily data from 1st March 2020 to 15th July 2020, this study draws the dynamic and causal relationships between transportation mobility and COVID-19 in ten selected countries (i.

Role of trade openness, export diversification, and renewable electricity output in realizing carbon neutrality dream of China.

Since climate change mitigation is the central debate of modern literature, the realization of carbon neutrality in response to diversified macroeconomic variables is the most crucial concern of international economies. However, the critical role of trade and renewable electricity output in export diversification-environmental nexus is missing. Therefore, this study investigates the combined influence of trade openness, exports diversification, and renewable electricity output on carbon dioxide emissions (CO) in China from 1989 through 2019.

A study on the effects of meteorological and climatic factors on the COVID-19 spread in Canada during 2020.

The Coronavirus (COVID-19) pandemic has infected more than three million people, with thousands of deaths and millions of people into quarantine. In this research, the authors focus on meteorological and climatic factors on the COVID-19 spread, the main parameters including daily new cases of COVID-19, carbon dioxide (CO) emission, nitrogen dioxide (NO), Sulfur dioxide (SO), PM, Ozone (O), average temperature, and humidity are examined to understand how different meteorological parameters affect the COVID-19 spread in Canada? The graphical quantitative analysis results indicate that CO emissions, air quality, temperature, and humidity have a direct negative relationship with COVID-19 infections. Quantile regression analysis revealed that air quality, Nitrogen, and Ozone significantly induce the COVID-19 spread across Canadian provinces.

CEO Tenure, CEO Compensation, Corporate Social and Environmental Performance in China: The Moderating Role of Coastal and Non-coastal Areas.

This study uncovers a new finding on the impact of CEO tenure on corporate social and environmental performance (CS&EP) in coastal and non-coastal areas of China using fixed-effect panel data regression models. The Two-Stage Least Squares instrumental panel regression is used to validate the veracity of the empirical results. To this end, we extract data from all non-financial Chinese listed firms for the period of 2009 to 2015.

On the indirect environmental outcomes of COVID-19: short-term revival with futuristic long-term implications.

The aim of this study is to identify and highlight the positive and negative indirect environmental impacts of COVID-19, with a particular focus on the most affected economies (USA, China, Spain, and Italy). In this respect, the empirical and theoretical dimensions of the contents of those impacts are analyzed. Research findings reveal a significant relationship between contingency actions and positive indirect impacts such as air quality improvements, clean beaches, and the decline in environmental noise.

Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market.

In the wake of recent pandemic of COVID-19, we explore its unprecedented impact on the cryptocurrencies' market. Specifically, we check how the changing intensity of the COVID-19 represented by the daily addition in new infections worldwide affects the daily returns of the top 10 cryptocurrencies according to the market capitalization. The results from Quantile-on-Quantile Regression (QQR) approach reveal that the changing intensity levels of the COVID-19 affect the Bearish and the Bullish market scenarios of cryptocurrencies differently (asymmetric impact).

Asymmetric nexus between urban agglomerations and environmental pollution in top ten urban agglomerated countries using quantile methods.

The rapid urbanization growth has not only improved the living standards of people but also raised concerns for environmental sustainability over the globe. In this regard, the issue of excessive urban concentration or over-agglomeration in metropolitan areas is nowadays the prime concern for urban planning and building energy-efficient and eco-friendly infrastructures. In response to rising interest in the dynamic linkage between urban concentration and environment, the current research empirically examines the crucial nexus between urban agglomerations and environmental degradation in top ten urban agglomerated countries in the world from 1960Q1 to 2014Q4.

How does CEO tenure affect corporate social and environmental disclosures in China? Moderating role of information intermediaries and independent board.

The present study provides empirical evidence on how chief executive officer (CEO) tenure influences the corporate social and environmental disclosures (CS&ED) of all listed non-financial Chinese firms from 2008 to 2016. We used fixed-effect panel data regression model to test our hypothesis. The findings show a negative impact of CEO tenure on CS&ED.

Time-frequency co-movement between COVID-19, crude oil prices, and atmospheric CO emissions: Fresh global insights from partial and multiple coherence approach.

This paper endeavors to analyze and provide fresh global insights from the asymmetric nexus between the recent outbreak of COVID-19, crude oil prices, and atmospheric CO emissions. The analysis employs a unique Morlet's wavelet method. More precisely, this paper implements comprehensive wavelet coherence analysis tools, including continuous wavelet coherence, partial wavelet coherence, and multiple wavelet coherence to the daily dataset spanning from December 31, 2019 to May 31, 2020.

Impact of novel coronavirus (COVID-19) on daily routines and air environment: evidence from Turkey.

Turkish people are facing several problems because of the novel coronavirus (COVID-19), as the pandemic has brought about drastic changes to their daily routines. This study mainly investigates the impact of this pandemic on the daily routines of Turkish. It also unveils how COVID-19 affects the air environment.

Co-variance nexus between COVID-19 mortality, humidity, and air quality index in Wuhan, China: New insights from partial and multiple wavelet coherence.

The worldwide outbreak of COVID-19 disease has caused immense damage to our health and economic and social life. This research article helps to determine the impact of climate on the lethality of this disease. Air quality index and average humidity are selected from the family of climate variables, to determine its impact on the daily new cases of COVID-19-related deaths in Wuhan, China.

Effects of climatological parameters on the outbreak spread of COVID-19 in highly affected regions of Spain.

The coronavirus (COVID-19) pandemic is infecting the human population, killing people, and destroying livelihoods. This research sought to explore the associations of daily average temperature (AT) and air quality (PM) with the daily new cases of COVID-19 in the top four regions of Spain (Castilla y Leon, Castilla-La Mancha, Catalonia, and Madrid). To this end, the authors employ Pearson correlation, Spearman correlation, and robust panel regressions to quantify the overall co-movement between temperature, air quality, and daily cases of COVID-19 from 29 February to 17 July 2020.

Asymmetric nexus between temperature and COVID-19 in the top ten affected provinces of China: A current application of quantile-on-quantile approach.

The present study examines the asymmetrical effect of temperature on COVID-19 (Coronavirus Disease) from 22 January 2020 to 31 March 2020 in the 10 most affected provinces in China. This study used the Sim & Zhou' quantile-on-quantile (QQ) approach to analyze how the temperature quantities affect the different quantiles of COVID-19. Daily COVID-19 and, temperature data collected from the official websites of the Chinese National Health Commission and Weather Underground Company (WUC) respectively.

The nexus between COVID-19, temperature and exchange rate in Wuhan city: New findings from partial and multiple wavelet coherence.

This study attempts to document the nexus between weather, COVID-19 outbreak in Wuhan and the Chinese economy. We used daily average temperature (hourly data), daily new confirmed cases of COVID-19 in Wuhan, and RMB (Chinese currency) exchange rate to represent the weather, COVID-19 outbreak and the Chinese economy, respectively. The methodology of Wavelet Transform Coherence (WTC), Partial Wavelet Coherence (PWC) and Multiple Wavelet Coherence (MWC) is employed to analyze the daily data collected from 21st January 2020 to 31st March 2020.

The impact of CEO tenure on corporate social and environmental performance: an emerging country's analysis.

This paper analyzes the extent to which CEO (chief executive officer) tenure affects the corporate social and environmental performance of all nonfinancial Chinese firms listed in Shanghai and Shenzhen stock exchanges during 2009-2015. The study uses a fixed-effect panel regression model by considering the overtime data across the firms. 2SLS regression model then is used to control the problem of endogeneity.