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. Besides, negative indirect impacts also exist, such as the rise in waste level and curtailment in recycling, further threatening the physical spaces (land and water), besides air. It is expected that global businesses will revive in the near future (though slowly), but the reduction in greenhouse gas emissions during this short time span is not a sustainable way of environmental mitigation. Thus, long-term mitigation policies should be strengthened to cope with the undesirable deterioration of the environment. Research findings provide an up-to-date glimpse of the pandemic from the perspectives of current and future indirect environmental impacts and the post-pandemic situation. Finally, it is suggested to invent and prepare action plans to induce a sustainable economic and environmental future in the post-pandemic world scenario.

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. The sample data are taken during the lockdown period in Wuhan, i.e., from 23rd January 2020 to 8th April 2020. The recently developed econometric technique of Quantile-on-Quantile regression, proposed by Shin and Zhu (2016) is employed to capture the asymmetric association between environmental factors (TEMP, HUM, PM2.5, PM10, CO, SO2, NO2, and O3) and the number of recovered patients from COVID-19. We observe significant heterogeneity in the association among variables across various quantiles. The findings suggest that TEMP, PM2.5, PM10, CO, NO2, and O3 are negatively related to the COVID-19 recovery, while HUM and SO2 show a positive association at most quantiles. The study recommends that maintaining a safe and comfortable environment for the patients may increase the chances of recovery from COVID-19. The success story of Wuhan, the initial epicenter of the novel coronavirus in China, can serve as an important case study for other countries to bring the outbreak under control. The current study could be conducive for the policymakers of those countries where the COVID-19 pandemic is still unrestrained.

Does energy productivity and public-private investment in energy achieve carbon neutrality target of China?

Carbon neutrality target is of great importance to all countries around the globe recently. Innovative methods are being evaluated to achieve the environmental sustainability. In this study, we aim to inspect the influence of public-private partnership in energy and energy efficiency on CO2 emissions in China from 1991Q1 to 2017Q4. In doing so, we include other important determinants of CO2 emissions also, such as environmental innovation, renewable energy, energy productivity and economic growth in our model. We employ the advanced cointegration methods that are developed recently. Moreover, spectral Breitung and Candelon (BC) causality test is used to find the causal effects of technological innovation, energy productivity, public-private partnership in energy, renewable energy consumption and GDP on CO2 emissions. The results suggest that increase in income and public-private partnership enhance carbon emission in China. Conversely, an improvement in energy productivity, renewable energy and technological innovation exert negative influence over CO2 emissions. There is a need to improve the efficiency of public-private partnership in energy projects in terms of carbon emission. Policymakers in China need to ensure an effective and timely transition towards renewable energy sources through environment related innovations and improved efficiency in all sources of energy.

Does exports diversification and environmental innovation achieve carbon neutrality target of OECD economies?

Achieving carbon neutrality is of great importance to many developed and developing countries around the globe. Global warming is one of the leading issues caused by human activities. To cope with environmental challenges, and to achieve carbon neutrality, fiscal decentralization and eco-innovation are promising strategies that can also enable countries and local governments to pursue visible economic growth. This study investigates the role of export diversification, environment-related technological innovation, and fiscal decentralization in effectively achieving carbon neutrality target for 37 OECD (Organization for Economic Cooperation and Development) economies from 1970 to 2019. For empirical analysis, it uses second-generation tests that deal with heterogeneity and cross-sectional dependence issues. To this end, this study employs updated cointegration techniques. The augmented mean group (AMG) approach is used to examine the long-run dynamic equilibrium among the variables of interest. The findings indicate that export diversification and fiscal decentralization followed by GDP growth affect carbon dioxide emission positively. While renewable energy consumption and environment-related technological innovation assure environmental improvement. Additionally, short-run causal and unidirectional links are found running from fiscal decentralization, export diversification, and environment-related technological innovation to carbon emissions. Our findings suggest that OECD partner countries need to be careful while devising fiscal decentralization and export diversification policies. They should increase the share of renewable energy, and expand environment-related technological innovation. Such strategic efforts would direct the OECD countries to meet the climate change mitigation agenda of sustainable development goals.

Correlation between environmental pollution indicators and COVID-19 pandemic: A brief study in Californian context.

In December 2019, the novel coronavirus COVID-19 outbreak was first detected in Wuhan Hubei province, China. The April 24, 2020, the Centers for Disease Control and Preventions (CDC) has confirmed more than 39,000 cases, including >1800 deaths. California's Governor Gavin Newsom ordered mandatory stay at home after World Health Organization (WHO) declared COVID-19 as a global pandemic in early March. We have evaluated the correlation between environmental pollution determinants and the COVID-19 outbreak in California by using the secondary published data from the Centers for Disease Control and the Environmental Pollution Agency (EPA). We employed Spearman and Kendall correlation tests to analyze the association of PM 2.5, PM 10, SO2, NO2, Pb, VOC, and CO with COVID-19 cases in California. Our findings indicate that environmental pollutants such as PM10, PM2.5, SO2, NO2, and CO have a significant correlation with the COVID-19 epidemic in California. Overall, our study is a useful supplement to encourage regulatory bodies to promote changes in environmental policies as pollution source control can reduce the harmful effects of environmental pollutants.

The cryptocurrency environmental attention and green bond connectedness.

We study the dynamic connectedness between green bonds and the cryptocurrency environmental attention index (ICEA), using the TVP-VAR methodology. The spillovers increase with the level of environmental attention, suggesting cross-market activism by green investors. Denmark, the Euro area, Hong Kong, Australia, and the US are the source of spillovers, while Japan, the UK, and Switzerland are major recipients. The return spillovers exceed volatility spillovers and rise in strength during COVID-19 and the geopolitics-induced military hostilities in Ukraine. Several imperative implications of the findings are notable for policymakers, market participants, and practitioners.

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. The study is carried out following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In total, 73 articles were found to be eligible to be included in the systematic review, which was published on EMA in small- and medium-sized enterprises in China. Our study aims to document barriers to the adoption of EMA among Chinese SMEs. The review concluded that strict legislation and the availability of flexible financing options for SMEs can promote the adoption of EMA by SMEs. The establishment of environmental reporting systems and auditing mechanisms can further increase the utilization of EMA by small and medium firms. Barriers to EMA adoption can be mitigated after careful consideration of the current situation in SMEs. Documentation of significant barriers may help to form supportive policies which ultimately add to the efforts toward climate change mitigation.

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. To this end, we use the latest and annual data set comprising 31 OBOR countries from 1996 to 2018, and employ panel econometric techniques that effectively deal with the threat of endogeneity. Results show that human capital improves environment while financial globalization deteriorates it. Interestingly, high power distance and uncertainty avoidance can reverse the positive impact of human capital. Similarly, financial globalization is favorable for environment in countries with low power distance and uncertainty avoidance. The findings are robust to the use of alternative specifications. Theoretical underpinnings and implications are discussed arising from the interesting reversal of traditional impacts in different cultural scenarios. Specifically, we recommend a culture of entrepreneurship, innovation, and inclusivity, promoted through increased tolerance towards risk-taking and participative decision-making to reap the benefits of human capital and globalization in improving the environment. Our results have important implications for climate change mitigation endeavors in OBOR countries and understanding the cultural context in this regard. Additionally, our study opens a vast avenue for the related research work in the future.

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). Additionally, there are differences between these currencies in their responses to the changing levels of this pandemic's intensity. Most of the currencies absorbed the small shocks of COVID-19 by registering positive gains but failed to resist against the huge changes except Bitcoin, ADA, CRO, and up to some extent Ethereum. Our results reveal new and asymmetric dynamics of this emerging asset class against an extremely stressful and unpredictable event (COVID-19). Moreover, these results are robust to the use of alternative proxy (COVID-19 deaths) for pandemic intensity. Our findings help to improve investors and policymakers' understanding of the cryptocurrencies' market dynamics, especially in the times of extremely stressful and unseen events.

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 (PM2.5) 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. Overall empirical results show that temperature may not be a determinant to induce COVID-19 spread in Spain, while the rising temperature may reduce the virus transmission. However, the correlation and regression findings illustrate that air quality may speed up the transmission rate of COVID-19. Our findings are contrary to the earlier studies, which show a significant impact of temperature in raising the COVID-19 spread. The conclusions of this work can serve as an input to mitigate the rapid spread of COVID-19 in Spain and reform policies accordingly.

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. Empirical results have shown that the relationship between temperature and COVID-19 is mostly positive for Hubei, Hunan, and Anhui, while mostly negative for Zhejiang and Shandong provinces. The remaining five provinces Guangdong, Henan, Jiangxi, Jiangsu, and Heilongjiang are showing the mixed trends. These differences among the provinces can be explained by the differences in the number of COVID-19 cases, temperature, and the province's overall hospital facilitations. The study concludes that maintaining a safe and comfortable atmosphere for patients while COVID-19 is being treated may be rational.

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 results have revealed a significant coherence between the series at different time-frequency combinations. The overall results suggest the insignificance of an increase in temperature to contain or slow down the new COVID-19 infections. The RMB exchange rate and the COVID-19 showed an out phase coherence at specific time-frequency spots suggesting a negative but limited impact of the COVID-19 outbreak in Wuhan on the Chinese export economy. Our results are contrary to many earlier studies which suggest a significant role of temperature in slowing down the COVID-19 spread. These results can have important policy implications for the containment of COVID-19 spread and macro-economic management with respect to changes in the weather.

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. We have used wavelet analysis (wavelet transform coherence (WTC), partial (PWC), and multiple wavelet coherence (MWC), due to its advantages over traditional time series methods, to study the co-movement nexus between our selected data series. Findings suggest a notable coherence between air quality index, humidity, and mortality in Wuhan during a recent outbreak. Humidity is negatively related to the COVID-19-related deaths, and bad air quality leads to an increase in this mortality. These findings are important for policymakers to save precious human lives by better understanding the interaction of the environment with the COVID-19 disease.