Impact of geographical, meteorological, demographic, and economic indicators on the trend of COVID-19: A global evidence from 202 affected countries.

Research problem: Public health and the economy face immense problems because of pathogens in history globally. The outbreak of novel SARS-CoV-2 emerged in the form of coronavirus (COVID-19), which affected global health and the economy in almost all countries of the world. Study design: The objective of this research is to examine the trend of COVID-19, deaths, and transmission rates in 202 affected countries. The virus-affected countries were grouped according to their continent, meteorological indicators, demography, and income. This is quantitative research in which we have applied the Poisson regression method to assess how temperature, precipitation, population density, and income level impact COVID-19 cases and fatalities. This has been done by using a semi-parametric and additive polynomial model. Findings: The trend analysis depicts that COVID-19 cases per million were comparatively higher for two groups of countries i.e., (a) average temperature below 7.5 °C and (b) average temperature between 7.5 °C and 15 °C, up to the 729th day of the outbreak. However, COVID-19 cases per million were comparatively low in the countries having an average temperature between 22.5 °C and 30 °C. The day-wise trend was comparatively higher for the countries having average precipitation between (a) 1 mm and 750 mm and (b) 750 mm and 1500 mm up to the 729th day of the outbreak. The day-wise trend was comparatively higher for the countries having more than 1000 people per sq. km. Discussing the COVID-19 cases per million, the day-wise trend was higher for the HICs, followed by UMICs, LMICs, and LIC. Conclusion: The study highlights the need for targeted interventions and responses based on the specific circumstances and factors affecting each country, including their geographical location, temperature, precipitation levels, population density, and per capita income.

Achieving sustainable environment through infrastructure and energy structure developments: empirical evidence from BRICS.

The development of an environment that is sustainable requires infrastructure matching this goal. Moreover, it is almost impossible to achieve this goal without the requisite energy structure. Devising an energy structure that is both effective and efficient must precede the desired infrastructure to achieve sustainability goals. Therefore, it is important to look into the nexus of energy structure, infrastructure, and carbon emissions in "Brazil, Russia, India, China, and South Africa (BRICS)" countries under the growth and environment hypothesis. To empirically estimate the said nexus, robust econometric techniques are adopted. This paper employs panel data analysis techniques to investigate the relationship between infrastructure, energy consumption, and carbon emissions in the BRICS countries. The econometric estimation methodology includes a cross-sectional dependence test, unit root attribute of the panel data using the cross-sectionally augmented Im Pesaran and Shin (CIPS) test, and estimation of co-integration among the variables, and to address the issues in the panel data, augmented mean group (AMG) technique and common correlated effects mean group (CCEMG) estimator were employed. Findings suggest the existence of a supportive role of infrastructure and energy structure in abating carbon emissions. It is suggested that the BRICS economies need to enhance their investment in infrastructure and energy structure for them to create a sustainable environment. Findings are also robust to short- and long-run policy implications. This study is a step forward toward the Sustainable Development Goals (SDGs).

Financial intermediation through risk sharing vs non-risk sharing contracts, role of credit risk, and sustainable production: evidence from leading countries in Islamic finance.

The asset side of Islamic banks has two different portfolios running side by side, namely risk-sharing (PLS) and non-risk sharing (non-PLS) financing. The segregation of PLS and non-PLS financing has gathered some attention recently owning to its relative importance for sustainable economic output. This study attempts to analyze the impact of decomposed Islamic financing modes (PLS and non-PLS) with a particular focus on their impact on real economic activity. In addition, we moderated the relationship with asset quality of aggregate Islamic banking sector. Quarterly data from 2014 to 2021 have been sourced from datasets of the Islamic financial service board (IFSB), the International Monetary Fund (IMF), World Bank, and Central banks' data streams. Eleven countries have been selected based on the highest local and global share in global Islamic financial assets. Panel data regression model has been used in this study. The findings indicate that PLS financing is a weaker driver to channelize funds. However, industrial production output is significantly affected by non-PLS financing. Further the results suggest, Islamic finance-output nexus found to have a stronger relationship in the presence of higher asset quality of Islamic banks. The results show that firms mostly rely on non-PLS financing, due to reduced asymmetry and higher transparency in non-PLS contracts compared to PLS modes. The results have implications for governing bodies of Islamic financial system in boosting risk-sharing contracts and firms to limit agency conflicts arising from fluctuating cost of financing.

Embracing green banking as a mean of expressing green behavior in a developing economy: exploring the mediating role of green culture.

According to a plethora of research and publications, the volume and amount of pollution are largely attributable to human-made emissions. Even during the recently ended Covid-19 outbreak, there was a notable decrease in global pollution, particularly in Pakistan's heavily populated cities. Due to the current situation, it is strategically important to safeguard the environment, and there are many criteria and predictors that should be used to encourage green behavior. This study examines green banking as a means of demonstrating ecologically responsible conduct in a developing nation. A survey questionnaire was used to collect information from 280 respondents via human contact and an internet platform. Software called SmartPLS3.0 was used to analyze the structural relationships between the study's variables. The results show that customers' adoption of green banking practices is statistically significantly influenced by their level of environmental consciousness and attitude. Similarly, green culture exhibits a substantial mediating influence between the independent variables and green behavior as well as a positive significant effect on green behavior. However, it is established that the consumer's apparent behavioral control is negligible. Particularly, the cognitive connection between behavior and culture is weak and insufficient to forecast behavior. For policymakers, especially those working in the field of green education, this study has many real-world applications.

ESG performance, capital financing decisions, and audit quality: empirical evidence from Chinese state-owned enterprises.

We study the nexus between environmental, social, and governance (ESG) performance and corporate capital financing decisions. Further, we also analyze the effect of audit quality and type of ownership (state-owned enterprises (SOEs) vs non-state-owned enterprises (non-SOEs), local vs central SOEs in this relationship. By applying panel regression (fixed effects) on 6295 firm-year observations of Chinese A-listed enterprises data for 2010-2019, we conclude that firms' ESG information is crucial to their financing decisions. In particular, firms with superior ESG performance have lower debt financing. The findings suggest that enterprises with strong ESG performance have easy access to equity funding via stock markets. Further, this relationship is more pronounced in SOE compared to non-SOEs and in central SOEs compared to local SOEs. These results demonstrate that the market may promote desired social outcomes by rewarding ESG performance; however, we find no significant effect of audit quality in this relationship. Findings are robust to different sensitivity tests, including an alternative estimation, sysGMM regression to address endogeneity issues, and lagged regressions to address reverse causality.

Role of Managerial Ability in Environmental, Social, and Economics Sustainability: An Empirical Evidence from China.

The current study analyzed whether the enhancement in managerial ability accelerates the environmental, social, and economic sustainability practices or not. Using panel data methodology on Chinese listed firms data from 2010 to 2019, we report that CEOs' managerial ability impacts the overall (environmental, social, and economic) sustainability practices of the firms positively. Moreover, we find that social sustainability and economic sustainability also increase with the increase of the CEO's managerial ability in the firm. The results remain robust after several alternative empirical tests. The findings justify the relationship between management skills and sustainability and demonstrate how each one of the sustainability pillars is affected individually. The support for sustainability practices that can be achieved through the communication of management skills is an essential conclusion for practitioners. Findings establish the link between CEO's managerial ability and environmental, social, and economic sustainability performance by taking insights from upper echelon theory.

Impact of Environmental Fluctuations on Stock Markets: Empirical Evidence from South Asia.

The proportionate use of energy represents economic activity as well as environmental degradation. This study intends to examine the volatility spillover of environmental fluctuations (energy prices) to the stock markets of south Asian countries (i.e., Bangladesh, India, and Pakistan). In this regard, the data have been gathered from the Thomson Reuters DataStream from 2013 to 2021. This study has applied the Granger causality test and ARCH-GARCH (1, 1). It concludes that the bidirectional causality exists between the environmental prices (i.e., energy market) and Bangladesh, Pakistan, and India stock markets (BSE-100, DSE-30, and KSE-100, respectively). The empirical findings of this study show that there are volatility spillovers from the energy to the stock markets of Pakistan and India. On the other hand, no volatility spillover is observed from the energy to the stock market of Bangladesh. Moreover, the study implies that investors should invest in these stock markets to reduce the risk involved with diversification.

Do Chief Executives Matter in Corporate Financial and Social Responsibility Performance Nexus? A dynamic Model Analysis of Chinese Firms.

This study examined the relationship between Corporate Financial Performance (CFP) and Corporate Social Responsibility Performance (CSRP). Furthermore, it explored the effectiveness of chief executive characteristics as a moderator in the CFP-CSRP nexus. We employed a dynamic sysGMM regression model on 2,439 firm-year observations of Chinese firms. The results reveal that CFP (market-based) has a significant positive impact on CSRP. However, CFP (historical) is significantly negatively related to CSRP. Furthermore, the study found that CEO turnover and CEO duality negatively moderate the CFP-CSRP relationship, while CEO as CFO positively moderates this relationship. The findings have substantial implications for all stakeholders, including investors, CEOs, corporate regulators, and policymakers.