The asymmetric nexus between air pollution and COVID-19: Evidence from a non-linear panel autoregressive distributed lag model

Intermodal travel planning and decision support integrated with transportation and energy systems

The fast urbanization in China makes it all the more important to find sustainable solutions that are both comprehensive and energy-efficient. Because of its important role in lowering logistical expenses and pollutant emissions, intermodal transport is generally seen as an effective method of coordinating transportation operations, helping to address the growing economic and environmental issues. Considering the characteristics of a growing city, this article lays out a multi-criteria method for selecting which new initiatives for China's public transportation system should be prioritized. "Electric municipality bus," "light rail system," and "modernization to the current fleet and optimization" are the three enhancement initiatives that are outlined. Using transportation-related economic, social, and environmental sub-criteria, this research applies TOPSIS, an analytic hierarchy method and fuzzy approach for order preference by resemblance to ideal circumstance application, to prioritize transportation projects. The study aims to improve city life in Chongqing, China, by identifying the most environmentally friendly development projects. Applying the analytical hierarchy method (AHP), the relative importance of several sustainability criteria was established for use in making strategic decisions. The alternative projects for the given city have been ranked using the fuzzy TOPSIS approach. However, the investigated results show the supportive response of hybrid to environmental sustainability and vice versa for non-hybrid vehicles. However, the energy consumption in public transport remains a leading hurdle in sustainability across the three modes of transport: taxis, rail transit and buses. Finally, computer trains in public transport also surprisingly deal with environmental sustainability to keep the current & forthcoming generation from ecological harm. However, theoretical and empirical policy suggestions have been proposed to become clean & green shortly.

Asymmetric effects of fine particulate matter and stringency policy on COVID-19 intensity

This study aims to examine the influence of environmental performance (PM2.5) on COVID-19 intensity . For this purpose, we employ the newly introduced Hidden Panel Cointegration test and Nonlinear Panel Autoregressive Distributed Lag model. Results indicate the asymmetric linkages between PM2.5 and COVID-19 intensity, as the positive shock in PM2.5 raises the COVID-19 intensity by 21%, whereas the negative shock in PM2.5 decreases COVID-19 intensity by 12% in long-run. On the contrary, the positive shock in stringency measures decreases COVID-19 intensity by 42.8%, while the negative shock in stringency policy increases COVID-19 intensity by 66.7%. These findings imply that higher pollution increases the COVID-19 severity while higher stringency measures slow down people's movement and reduce COVID-19 intensity. However, a sudden negative shock in lockdown increases people's interaction, leading to a higher spread of the virus. These results suggest that governments should adopt stringent action plans to contain the transmissibility of COVID-19.

A model for green-resilient supplier selection: fuzzy best-worst multi-criteria decision-making method and its applications

Supplier selection is regarded as the primary goal of supply chain management (SCM) because it affects its performance, productivity, pleasure, flexibility, and system speed in lockdown. A new method is proposed based on a multi-stage fuzzy sustainable supplier index (FSSI). Experts can use the triple bottom line (TBL) criteria to select the best supplier. In addition, the worst method is proposed based on trapezoidal membership and fuzzy membership functions, which can cover uncertainties and ambiguous environments. Because it collects the related criteria and sub-criteria and uses a direct fuzzy methodology, this research has impacted the SCM literature because it helps solve previous expert methods' computational difficulties. In addition, an ordered mean integration representation method has been implemented to prioritize the selection of the best supplier (SS) based on the sustainability performance of the best supplier, which improves the selection accuracy compared to the previous ranking method. This study can be used as a benchmark to determine which supplier is the best in sustainability. To provide the superiority and broad applicability of the proposed model, a practical case study was completed. On the other hand, the COVID-19 pandemic harms productivity, company performance, and selecting the best suppliers based on sustainability performance. The lockdown situation caused by the COVID-19 pandemic hurts company performance and management.

Impact of the COVID-19 outbreak on China's tourism economy and green finance efficiency

As a result of the COVID-19 pandemic, production costs have grown, while human and economic resources have been reduced. COVID-19 epidemic costs can be reduced by implementing green financial policies, including carbon pricing, transferable green certificates, and green credit. In addition, China's tourist industry is a significant source of revenue for the government. Coronavirus has been found in 30 Chinese regions, and a study is being conducted to determine its influence on the tourism business and green financial efficiency. Econometric strategies that are capable of dealing with the most complex issues are employed in this study. According to the GMM system, the breakout of Covid-19 had a negative effect on the tourism business and the efficiency of green financing. Aside from that, the effects of gross capital creation, infrastructural expansion, and renewable energy consumption are all good. The influence of per capita income on the tourism industry is beneficial but detrimental to the efficiency of green finance. Due to the current pandemic condition, this report presents a number of critical recommendations for boosting tourism and green financial efficiency.

Converging concepts of sustainability and supply chain networks: a systematic literature review approach

In recent years, companies have been under increasing pressure from consumers, grassroots and community organizations, governments, and shareholders to develop and practice sustainable business practices. Academic and corporate interest in sustainable supply chain management has risen considerably in recent years. This can be seen in the number of papers published. This paper aims to systematically investigate the discipline of supply chain management (SCM) within the context of sustainability. The two concepts are increasingly aligned, and sustainable supply chain management (SSCM) represents an evolving field where they explicitly interact. The study proposes a conceptual framework to classify various factors along the triple bottom-line pillars of sustainability issues in the context of supply chains. The findings indicate that the existing literature is primarily focused on individual sustainability and supply chain dimensions rather than taking a more integrated approach. Also, the economic benefits of developing a sustainable supply chain for an organization are discussed in addition to specific features of sustainable supply chains and limitations of existing research; this should stimulate further research. Our analysis revealed trends and gaps, allowing us to create a solid agenda for additional SSCM research.

A hybrid model analysis of digitalization energy system: evidence from China's green energy analysis

The integration of renewable energy sources can be supported by the digitalization of energy systems, which increase dependability and lower costs of energy production and consumption. However, the energy digitalization support energy infrastructures and technologies currently in place are insufficient. This research presented the study results by using the generalized least square estimates (GLS) model and the international sample of China regions from 2003 to 2017. Main results of the dynamic fixed effect (DFE) estimator for the autoregressive distributed lag (ARDL) method, establishing ES goals for lowering energy consumption and pollution emission fosters a country's renewable energy business sector's digital transformation in the short term, while encouraging the use of renewable energy sources fosters a country's long-term digitalization efforts. Based on this, the direct effects and dynamic effects of digitalization and financial development on environmental are explored, respectively, using the panel data regression model and panel vector autoregression (PVAR) model. The threshold regression model is then used to examine the two parameters' threshold effects on eco-efficiency. An accurate estimate of the resource consumption in smart factories is made possible by the digital twin that is created using the product's and its attributes as well as manufacturing data. The results suggests the future directions for the associated stakeholders.

Financial impact of cost of capital on tourism-based SMEs in COVID-19: implications for tourism disruption mitigation

Opportunities for funding Tourism SMEs are emerging globally due to the expansion of tourism sector. However, it is still being determined how these financial arrangements will be controlled at more significant sizes equitably. In the contemporary period, E7 economy is deficient in producing the financial resources to ensure the availability of funds for the acquisition of funds for tourism-based SMEs. However, this research tested the empirical position of cost of debt in E-7 economies during COVID-19 crises. Study findings have shown significant outcomes between the constructs. The variation of conditions, structural uncertainty, transection systems, and variation in support by the financial institution for tourism-based SMEs are the main reasons that lessen borrowing and lending system of funds, from banks to SMEs. However, theorists must revisit the transaction system of debt financing for SMEs. Policymakers are suggested to develop viable and SME system-friendly policies to finance through debt capital from the banks in the time of structural imposed crises, like COVID-19.

Does green finance and ICT matter for sustainable development: role of government expenditure and renewable energy investment

Green financing and renewable energy growth are commonly influenced by public expenditure on health and R&D; however, data supporting this claim is scarce, especially in the 65 countries that are part of the Belt and Road Initiative (BRI). The study applied Augmented Mean Group (AMG) analysis on panel data from 2005 to 2018 for BRI nations to look at the interplay between R&D and health budgets, GDP growth, FDI, carbon emissions, green finance, and renewable energy deployment. This study uses the two models for green finance and renewable energy development. In the light of the first model, economic growth, public expenditures on health and R&D, and foreign direct investment cause to increase the level of green finance in BRI economies, while the emissions cause to reduce the level of green finance. Similarly, renewable energy development uses another explained variable by this study and found the positive contribution of growth, public expenditures, and FDI inflows to renewable energy development. In contrast, environmental pollution decreases the level of renewable energy development. In order to obtain the desired level of green finance and renewable energy development, policies are suggested by the study.

Assessing the determinants of renewable energy and energy efficiency on technological innovation: Role of human capital development and investement

With rising global production and population, the globalized globe has also seen severe environmental damage. This is why renewable energy sources are important for the planet's future and human progress. In order to fight climate change and decrease emissions, promoting energy efficiency is one of the most valuable strategies. Trade patterns across borders, however, have significantly evolved. This analysis provides new evidence regarding the influence of technological progress, and more specifically, industrial innovation, on the OECD countries' international competitiveness. This article aims to analyse the effects of international commerce, FDI, and human capital on the development of renewable energy sources, energy efficiency measures, and cutting-edge technologies. In this analysis, we look at how different variables, including GDP per capita, trade, FDI, human capital, and urbanization, affect one another. To conduct the analysis, researchers used a pool of annual time series data from 2000 to 2019 for OECD economies. The long-term relationship between the variables is estimated using the AMG estimation, Cup-FM, and Cup-BC test. AMG estimation, Cup-FM estimation, and Cup-BC estimation were all used, providing valid results for the investigation. Research shows that energy efficiency, renewable energy, and technological innovation are negatively affected by FDI and urbanization but positively affected by GDP per capita, trade, and human capital. There is no statistically significant effect of human capital on the dependent variables. The estimated results also provide important policy consequences for the chosen and the other emerging economies in creating an adequate route ahead to sustainable development.

Evaluating low-carbon economic peer effects of green finance and ICT for sustainable development: a Chinese perspective

With the adoption of the United Nations Sustainable Development Goals and the Paris Climate Agreement, ADB's involvement should not be ignored. The Global Environment Facility (GEF) and ADB have teamed up to provide climate change financing for developing countries. Included in this is climate protection finance, the financing method that offers cash to assist the region in achieving ecological responsibility. Using a systematic framework, the researchers in this study examined the rationale for building a cohort result of green management in China in the new phase of the country's development. As part of a multiplicative framework, the long-term correlation between variables is quantified using the dynamic common correlated effect (D-CCE) and interactive fixed effect. According to the findings, renewable energy and green financing are good environmental indicators. Environmental degradation is negatively affected by green governance. Some people are concerned about how to dispose of ICT, yet on the other side, ICT can help cut carbon emissions with new clean technologies. Moreover, the findings show that urbanization and per capita income increase carbon emissions. The results suggest that Chinese officials need to support reducing carbon emissions through the development of ICT infrastructure, green financing, and renewable energy.

Unleashing the mechanism among environmental regulation, artificial intelligence, and global value chain leaps: a roadmap toward digital revolution and environmental sustainability

Strengthening environmental regulation and adhering to the green as well as sustainable development of China's manufacturing industry has become an inevitable trend. Technological innovation leads to industrial transformation, and artificial intelligence becomes a new driving force for core competitiveness and value chain upgrading. Is there a link between environmental regulation, artificial intelligence, and the jump in global value chains? Does AI have a mediating effect? This paper draws the following conclusions through panel estimation: environmental regulation plays a positive role in global value chains, and artificial intelligence has improved the level of global value chains as well. Further analysis of the mediation effect of artificial intelligence finds that artificial intelligence replaces low-end labor, reduces labor costs for enterprises, and promotes the leap of the global value chain. The strengthening of environmental regulation has greatly improved the total factor productivity of enterprises, artificial intelligence has significantly improved production efficiency, and total factor productivity has shown a positive influence on the global value chain as well.

Identifying the pathways through digital transformation to achieve supply chain resilience: an fsQCA approach

The manufacturing industry has placed a greater emphasis on digital transformation, especially under the impact of COVID-19. However, the influence mechanism between digital transformation and supply chain resilience is still a topic of discussion. Resource orchestration theory indicates that a firm not only need to emphasize the investment of resources but also pays attention to the allocation of resources. Therefore, based on the resource orchestration theory, this study divides the digital transformation into digital transformation breadth and digital transformation depth and combines R&D spending (R&D intensity and R&D employee) and contingency factors (firm size) to construct a theoretical path of "digital transformation-supply chain resilience." This research uses fuzzy sets qualitative comparative analysis to explore how to configure the digital transformation to achieve high supply chain resilience based on data from 193 listed manufacturing firms. Using the fsQCA software, it was discovered that there were no necessary conditions for achieving high supply chain resilience; sufficient condition analysis revealed that there are six paths to achieving high supply chain resilience, four of which can be summarized as digital transformation driven and the other two as R&D spending driven. These several approaches highlight the complicated causal relationship between digital transformation and supply chain resilience, as well as give theoretical and practical recommendations for firms looking to implement digital strategies and enhance their supply chains.

How green finance reduces CO2 emissions for green economic recovery: empirical evidence from E7 economies

The present study examines the effects of green finance on green economic performance index in the presence of income per capita, corporate social responsibilities, green energy, and technical innovations in emerging seven (E7) countries from 2005 to 2018. This study employed second-generation panel cointegration methodologies. The result of the cross-sectional dependency and slope heterogeneity test confirms that the panels are correlated and there exists slope heterogeneity. The results for the short- and long-run confirm the relationship between green economic performance index, green finance, GDPC, technological innovation, CSR, and green energy. In both the short- and long-run, green finance, technological innovation, and CSR decrease the carbon emissions and increase green economic growth, whereas income per capita and GDPC significantly increase the carbon emissions. The robustness check findings obtained D-H panel causality test validate the results. Reducing energy usage by adopting efficient technologies should be encouraged through green financing reforms implemented by policymakers.

Asymmetric dynamic risk transmission between financial stress and monetary policy uncertainty: thinking in the post-covid-19 world

Considering the dramatically increasing impact of the COVID-19 outbreak on monetary policy and the uncertainty in the financial system, we aim to examine the dynamic asymmetric risk transmission between financial stress and monetary policy uncertainty. Our sample covers 30 years of data. We first employ the conventional Granger causality test to examine the average relationship between financial stress and monetary policy uncertainty, and the results cannot provide evidence of causality between them. However, from an asymmetric perspective, we further detect the strongly apparent existence of the asymmetric structure of causality between them. Finally, we conduct further research on the asymmetric impacts from a time-varying perspective. The time-varying test finds that this relationship can be influenced by major events, especially the dot-com bubble, the 2009 financial crisis, and the current COVID-19 pandemic. Thus, one can learn more information about the influencing mechanism between financial stress and monetary policy with our work, which may be beneficial for making better decisions in the future.

The influence and mechanism of health expenditures on investment of financial assets decisions: A case study of China's economy

Policymakers worldwide have been actively involved in the past few decades to ensure that human diseases are kept to a minimum. A new econometric technique, dynamic ARDL simulations, was used in this study to estimate and model the influence of health expenditures on investment in non-financial assets in China from 1990 to 2019. An economic growth framework, gross capital formation, information and communication technologies, foreign direct investment, and carbon emissions are all considered in the empirical model-the analysis produced interesting results. First, the estimates show that health expenditures and foreign direct investment have a significant long-run decreasing impact on non-financial assets in China by 0.451 and 0.234%. Second, economic growth and gross capital formation significantly affect the economy's non-financial assets. Likewise, ICT and carbon emissions also positively correlate with an explained variable in China. The findings show that the economy is becoming less investment-intensive as health spending and foreign direct investment rise. The study develops important policy implications for the selected country to achieve desired targets based on the empirical results.

A comparative analysis of renewable and non-renewable energy generation to relegate CO2 emissions and general costs in household systems

Ensuring adequate implementation of solar energy for providing environment-friendly energy to the household sector, which can considerably abate pollutants in the environment and make power industry structure sustainable, is necessary for developing countries. Comparison in terms of environmental and cost impacts of renewable energy (hybrid solar system) with non-renewable energy sources, water and planning development authority (WAPDA), and diesel generators (DGs) has been examined in the household sector of Pakistan. Primary data of hybrid solar systems have been obtained from 10 different households segregated them into two categories according to their income as medium-income households (MIHs) and lower income households (LIHs) containing 5 kW and 3 kW of hybrid solar energy systems, respectively. While operating with a hybrid solar energy system instead of a non-renewable energy system, in terms of average generated power and average running load, carbon dioxide (CO₂) emissions can be reduced up to 8,446.6 kg CO₂ and 6,131.725 kg CO₂, respectively, in the next 25 years. Comparison of costs indicated that renewable energy has a comparatively low cost per electric unit. It can pay back its total installation cost in just 8 years and can save a sum of $4,936.4375, along with many more ecological, economic, and societal benefits. Pakistan can efficiently utilize solar energy to relegate CO₂ emissions and general costs as it has distinct geographical features to access sunlight in most days of the year.

Sustainable impact of COVID-19 on education projects: aspects of naturalism

History records show that pandemics and threats have always given new directions to the thinking, working, and learning styles. This article attempts to thoroughly document the positive core of coronavirus 2019 (COVID-19) and its impact on global social psychology, ecological stability, and development. Structural equation modeling (SEM) is used to test the hypotheses and comprehend the objectives of the study. The findings of the study reveals that the path coefficients for the variables health consciousness, naturalism, financial impact and self-development, sustainability, compassion, gregariousness, sympathy, and cooperation demonstrate that the factors have a positive and significant effect on COVID-19 prevention. Moreover, the content analysis was conducted on recently published reports, blog content, newspapers, and social media. The pieces of evidence from history have been cited to justify the perspective. Furthermore, to appraise the opinions of professionals of different walks of life, an online survey was conducted, and results were discussed with expert medical professionals. Outcomes establish that the pandemics give birth to creativity, instigate innovations, prompt inventions, establish human ties, and foster altruistic elements of compassion and emotionalism.

Cumulative effects of air pollution and climate drivers on COVID-19 multiwaves in Bucharest, Romania

Over more than two years of global health crisis due to ongoing COVID-19 pandemic, Romania experienced a five-wave pattern. This study aims to assess the potential impact of environmental drivers on COVID-19 transmission in Bucharest, capital of Romania during the analyzed epidemic period. Through descriptive statistics and cross-correlation tests applied to time series of daily observational and geospatial data of major outdoor inhalable particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) or ≤ 10 µm (PM10), nitrogen dioxide (NO₂), ozone (O₃), sulfur dioxide (SO₂), carbon monoxide (CO), Aerosol Optical Depth at 550 nm (AOD) and radon (²²²Rn), we investigated the COVID-19 waves patterns under different meteorological conditions. This study examined the contribution of individual climate variables on the ground level air pollutants concentrations and COVID-19 disease severity. As compared to the long-term average AOD over Bucharest from 2015 to 2019, for the same year periods, this study revealed major AOD level reduction by ~28 % during the spring lockdown of the first COVID-19 wave (15 March 2020-15 May 2020), and ~16 % during the third COVID-19 wave (1 February 2021-1 June 2021). This study found positive correlations between exposure to air pollutants PM2.5, PM10, NO₂, SO₂, CO and ²²²Rn, and significant negative correlations, especially for spring-summer periods between ground O₃ levels, air temperature, Planetary Boundary Layer height, and surface solar irradiance with COVID-19 incidence and deaths. For the analyzed time period 1 January 2020-1 April 2022, before and during each COVID-19 wave were recorded stagnant synoptic anticyclonic conditions favorable for SARS-CoV-2 virus spreading, with positive Omega surface charts composite average (Pa/s) at 850 mb during fall- winter seasons, clearly evidenced for the second, the fourth and the fifth waves. These findings are relevant for viral infections controls and health safety strategies design in highly polluted urban environments.

Modeling oil price uncertainty effects on economic growth in Mexico: a sector-level analysis

This paper analyzes the impact of international oil price uncertainty on the different economic sectors (primary, secondary, and tertiary) in Mexico in the period 1993:1-2020:4 through a bivariate structural vector autoregressive (VAR) model with a generalized autoregressive conditional heteroskedasticity (GARCH) in mean to capture the impact of oil volatility on economic growth at the sectoral level of economic activity. The results show that the uncertainty of the international price of oil has a differentiated effect on the different sectors of economic activity in Mexico since it does not influence the primary sector; it negatively impacts the secondary sector, and there is mixed evidence in the tertiary sector. Additionally, evidence is provided that both positive and negative shocks to the international oil price have asymmetric effects at the sectoral level in Mexico. The results highlight the need to implement public policies, at the country level, that help mitigate the effect of uncertainty in the oil market and promote economic stability at the sector level.

The Atmospheric Environment Effects of the COVID-19 Pandemic: A Metrological Study

Since the COVID-19 outbreak, the scientific community has been trying to clarify various problems, such as the mechanism of virus transmission, environmental impact, and socio-economic impact. The spread of COVID-19 in the atmospheric environment is variable and uncertain, potentially resulting in differences in air pollution. Many scholars are striving to explore the relationship between air quality, meteorological indicators, and COVID-19 to understand the interaction between COVID-19 and the atmospheric environment. In this study, we try to summarize COVID-19 studies related to the atmospheric environment by reviewing publications since January 2020. We used metrological methods to analyze many publications in Web of Science Core Collection. To clarify the current situation, hotspots, and development trends in the field. According to the study, COVID-19 research based on the atmospheric environment has attracted global attention. COVID-19 and air quality, meteorological factors affecting the spread of COVID-19, air pollution, and human health are the main topics. Environmental variables have a certain impact on the spread of SARS-CoV-2, and the prevalence of COVID-19 has improved the atmospheric environment to some extent. The findings of this study will aid scholars to understand the current situation in this field and provide guidance for future research.

Assessing the nexus between fiscal policy, COVID-19, and economic growth

The COVID-19 issue deteriorated South Africa's already dire economic situation, exacerbated by years of considerable debt increase. The COVID-19 pandemic has disrupted trade to such an extent that some enterprises are barely working at a quarter of their potential. Furthermore, economic agents delay economic decisions while waiting to see how the crisis develops. According to some economists, increased government expenditure will raise GDP enough to keep the country's debt-to-GDP ratio steady and restore fiscal sustainability. We use a panel data model to estimate a fiscal reaction function, which we then apply to historical data to assess the government's prior efforts to maintain or restore budgetary sustainability. We calculate the impact fiscal balance, government expenditure, interest rate, and revenue changes that the government will have to make to restore the country's fiscal stability due to the financial impact of the COVID-19 issue.The findings show that fiscal balance and tax revinue have a significant impact on the economics growth, while government expenditure and corruption reduce the growth of the country.

Determining the COVID-19 effects on spillover between oil market and stock exchange: a global perspective analysis

This paper investigates volatility spillovers between the global crude oil market and the stock markets of the global oil stock markets (Russian, Canada, China, Kuwait, and the USA) pre and after the COVID-19 pandemic. We use wavelet Granger causality methods to study the volatility spillovers between global oil stock markets, mainly from January 1, 2019, to March 31, 2021. Our Results (1) shows that WTI and Brent oil prices had a negative mean return before COVID-19 but a positive mean return during the pandemic spread. Other Results (2) find the positive, significantly lowest, and highest frequency during the COVID-19 outbreak for all selected countries. The results also show that the link between oil WTI & Brent prices and stock markets return in the lowest (33-66 days) and highest frequency range (4-16) before the Covid-19 epidemic, especially in the first quarter of 2020. Before the COVID-19 period, the Russian oil stock market is seriously prejudiced with oil prices on a modest scale, but not after the pandemic's start. This study also perceives direction opposite between the COVID-19 period. The Canadian and United States America oil and stock markets influence the lowest scale in the previous COVID-19 sample for the U.S. market. Moreover, this paper exposed that oil marketing highest oil futures in their portfolios than stock shares for all times. We found that oil price shocks had a more significant impact on the stock markets of the United States and Canada than on the stock markets of other countries.

Impacts of exposure to air pollution, radon and climate drivers on the COVID-19 pandemic in Bucharest, Romania: A time series study

During the ongoing global COVID-19 pandemic disease, like several countries, Romania experienced a multiwaves pattern over more than two years. The spreading pattern of SARS-CoV-2 pathogens in the Bucharest, capital of Romania is a multi-factorial process involving among other factors outdoor environmental variables and viral inactivation. Through descriptive statistics and cross-correlation analysis applied to daily time series of observational and geospatial data, this study aims to evaluate the synergy of COVID-19 incidence and lethality with air pollution and radon under different climate conditions, which may exacerbate the coronavirus' effect on human health. During the entire analyzed period 1 January 2020-21 December 2021, for each of the four COVID-19 waves were recorded different anomalous anticyclonic synoptic meteorological patterns in the mid-troposphere, and favorable stability conditions during fall-early winter seasons for COVID-19 disease fast-spreading, mostly during the second, and the fourth waves. As the temporal pattern of airborne SARS-CoV-2 and its mutagen variants is affected by seasonal variability of the main air pollutants and climate parameters, this paper found: 1) the daily outdoor exposures to air pollutants (particulate matter PM2.5 and PM10, nitrogen dioxide-NO₂, sulfur dioxide-SO₂, carbon monoxide-CO) and radon - ²²²Rn, are directly correlated with the daily COVID-19 incidence and mortality, and may contribute to the spread and the severity of the pandemic; 2) the daily ground ozone-O₃ levels, air temperature, Planetary Boundary Layer height, and surface solar irradiance are anticorrelated with the daily new COVID-19 incidence and deaths, averageingful for spring-summer periods. Outdoor exposure to ambient air pollution associated with radon is a non-negligible driver of COVID-19 transmission in large metropolitan areas, and climate variables are risk factors in spreading the viral infection. The findings of this study provide useful information for public health authorities and decision-makers to develop future pandemic diseases strategies in high polluted metropolitan environments.

Macroeconomic lockdown effects of COVID-19 on small business in China: empirical insights from SEM technique

The coronavirus (COVID-19) outbreak in the China has exposed small- and medium-sized enterprises (SMEs) to a variety of challenges, some of which are potentially life-threatening to their sustainability. Therefore, this study aims to investigate the macroeconomic lockdown effects of COVID-19 on small business in China. A survey questionnaire with 313 participants was used to collect the data. In this study, the SEM technique was used to analyse model. The data have been gathered for the study from the managers and employees of Chinese SMEs. The findings of the study show that COVID-19 has a significant negative impact on financial performance, operational performance, profitability, access to finance, and customer satisfaction. According to the study's findings, external support aids have a greater impact on SMEs' ability to survive and thrive through innovation than on their actual performance. The findings of this study have a number of important practical consequences for small- and medium-sized business owners, governments, and policymakers.

Does green finance mitigate the effects of climate variability: role of renewable energy investment and infrastructure

Few researches have inspected the task of green finance in reducing CO2 emissions, while earlier studies have inspected the influence of economic development on carbon emissions. A green finance development index is built using four indicators to fill in this knowledge gap: green credit, green insurance, green securities, and green investing. Using data spanning the years 2005-2019, a panel quantile regression is applied to investigate the links between green finance, renewable energy, and CO2 emissions. Increases in renewable energy use and advances in the green finance development index have contributed to a reduction in CO2 emissions from BRICS countries. CO2 emissions on the other hand slowed the growth of renewable energy use, slowed the flow of investment to green projects, and ultimately hampered the development of green finance. There was also a clear policy-driven influence on renewable energy spending in the countries of the BRICS region. Green finance policies, on the other hand, have consistently failed to have a long-term impact. Therefore, rising the consumption of renewable energy and creating a carbon trading market are all part of this study's recommendations for green finance policy improvement.

Assessing the Role of Green Finance and Education as New Determinants to Mitigate Energy Poverty

Energy poverty (EP) is a problem that affects developed and developing economies, and its mitigation is of great significance to social welfare. EP affects Latin American countries, and policymakers have recently attempted to address this issue, particularly in the aftermath of the recent economic crisis. It is essential to measure and evaluate EP to implement strategies and policies effectively. Using a panel quantile regression approach, we investigate the heterogeneous impact of green finance, renewable energy (RE), and energy efficiency (EE) on EP for 33 Latin American countries from 2000 to 2018. Furthermore, certain associated control variables are incorporated into our model to avoid an omitted variable bias. According to empirical results, the impact of independent variables on EP is heterogeneous. Specifically, green finance is an essential source of alleviating EP, and it has a significant positive effect across all quantiles, but it is especially strong in the middle quantiles. RE and EE significantly mitigate EP, with the strongest effects occurring at higher quantiles. By including green finance, RE, and EE as the main explanatory determinants of EP, the findings urge policymakers in Latin American countries to design a comprehensive energy conservation policy to minimize the effects of massive EP.

Relating Sustainable Business Development Practices and Information Management in Promoting Digital Green Innovation: Evidence From China

Digital green innovations are being implemented in manufacturing to help organizations achieve sustainability by adopting sustainable development practices (SDPC). However, little is known about the impact of the information management process (IMP) on organizations' digital green innovation. To address this gap, we devised a multidimensional framework based on the resource-based view (RBV) theory that serves as a basis for sculpting how the IMP captured and sustained organizational digital green innovation via SDPCs. 533 respondents from big and medium-sized manufacturing businesses in China were surveyed, and data were analyzed using the structural equation modeling (SEM) approach. The study makes numerous significant findings. Firstly, the SDPC's dimensions (environment, economic, and social) are considerably improved by the IMP' dimensions (acquisition, dissemination, and application). Secondly, SDPC's dimensions are critical for attaining organizations' digital green innovation. Thirdly, SDPCs' implementation mediates the linkage between the IMP and organizations' digital green innovation. Our findings suggest that investing in and implementing cutting-edge technology and sustainable practices are critical for long-term success. Still, soft issues, such as organizational information management, are equally critical in today's information-based economy. Finally, in light of the study findings, we present theoretical and managerial implications.

The Mexican Ecological Conscience: A Predictive Model

Recently, the number of Mexicans who buy sustainable products has been increasing, which has led to sustainable trade. Therefore, the objective of this study is to determine which variables have a greater effect on Mexicans’ intention to buy green products, their ecological awareness, or moral obligation, and, in turn, to determine the degree to which moral obligation is affected by ecological awareness. A sample of 690 Mexicans was obtained, and a PLS–SEM model was applied for data analysis. The results confirmed that both a moral obligation and ecological awareness explain the intention to purchase green products, with ecological awareness contributing the most to the intention. Furthermore, the findings showed that moral obligation is affected by ecological awareness. The originality of the article is that it contributes to the consumer behavior literature by providing an insight for companies that manufacture sustainable products to understand and promote environmentally conscious consumer behavior. However, there are some limitations that can be addressed in future research.

Modeling COVID-19 Impact on Consumption and Mobility in Europe: A Legacy Toward Sustainable Business Performance

This article has explored the impact of coronavirus disease 2019 (COVID-19)-induced decline in consumer durables and mobility on nitrogen dioxide (NO2) emission in Europe by providing empirical and graphical justifications based on consumer price index (CPI) and gross domestic product (GDP) deflator indexes. The empirical estimations show that carbon dioxide (CO2) and NOx emission along with other greenhouse gases drastically decreased in the wake of COVID-19-induced lockdowns and decrease in the demand of consumer goods in Europe. This means that COVID-19 improved environment in the European region. However, high cost (e.g., unemployment, loss of life, and social segregation) makes COVID-19 an unstable solution to environmental woes where positive impact of COVID-19 on environment achieved in short run cannot be guaranteed in the long run. Besides environment, COVID-19 drastically curtailed economic activities and exposed them to the risk of economic crisis particularly in case of Europe.

Improving Public Health and Governance in COVID-19 Response: A Strategic Public Procurement Perspective

Good governance is the basis of dealing with major emergencies and protecting public health. It has become a major issue of the central government to construct a scientific procurement and supply system of emergency supplies. This article constructs the analytical framework of strategic procurement and expounds the realization mechanism of strategic procurement under an emergency situation to reflect China's procurement practice in COVID-19 response and improve public health and governance. Using case study, semi-structured interviews, and the Nvivo text analysis, this study found that emphasizing the strategic function of securing the public health,the top status of MSG, cross-sector procurement team, strong procurement and supply integration, comprehensive and in-depth procurement synergy mechanism are the successful experiences of China's emergency procurement. However, due to the temporary nature of the emergency procurement mechanism, strategic procurement planning, procurement management specialization, and procurement supply integration still need to be improved. The findings of this study further suggest that to improve public health and governance, it is pivotal to reconstruct the government procurement law to make it compatible with the emergency procurement and transform the government procurement system into a strategic procurement in a consistent and coherent way.

How Do Green Finance and Energy Efficiency Mitigate Carbon Emissions Without Reducing Economic Growth in G7 Countries?

Climate change is one of the most serious threats facing the world today. Environmental pollution and depletion of natural resources have been highlighted by the United Nations Sustainable Development Goals (SDGs), paving the way for modern concepts such as sustainable growth to be introduced. Therefore, this research explores the relationship between green finance, energy efficiency, and CO₂ emissions in the G7 countries. The study uses panel data model technique to examine the dependence structure of green finance, energy efficiency, and CO₂ emissions. Moreover, we use DEA to construct an energy efficiency index of G7 countries. A specific interval exists between the values of the energy efficiency indexes. Japan, the United Kingdom, and the United States were named the most energy-efficient countries in the world, based on results obtained for five consecutive years in this category. However, according to the comparative rankings, France and Italy are the most successful of all the G7 members, followed by the United Kingdom and Germany. Our overall findings of the econometric model confirm the negative impact of green finance and energy efficiency on CO₂ emissions; however, this relationship varies across the different quantiles of the two variables. The findings in the study confirm that green finance is the best financial strategy for reducing CO₂ emissions.

Harvesting Energy from Ocean: Technologies and Perspectives

The optimal utilization of renewable energies is a crucial factor toward the realization of sustainability and zero carbon in a future energy system. Tidal currents, waves, and thermal and salinity gradients in the ocean are excellent renewable energy sources. Ocean tidal, osmotic, wave, and thermal energy sources have yearly potentials that exceed the global power demand of 22,848 TWh/y. This paper extensively reviews the technologies related to energy harvesting from waves, tidal, ocean thermals, and the salinity gradient. Moreover, the socio-economic, social, and environmental aspects of the above technologies are also discussed. This paper provides a better picture of where to invest in the future energy market and highlights research gaps and recommendations for future research initiatives. It is expected that a better insight into ocean energy and a deep understanding of various potential devices can lead to a broader adoption of ocean energy. It is also clear that further research into control strategies is needed. Policy makers should provide financial support for technologies in the demonstration stage and employ road mapping to accelerate the cost and risk reductions to overcome economic hurdles. To identify traditional and online sources on the topic, the authors used electronic databases and keyword searching approaches. Among them, the International Renewable Energy Agency data were the primary database utilized to locate sources.

Role of Energy Mix in Determining Climate Change Vulnerability in G7 Countries

Anthropogenic activities are responsible for greenhouse gas emissions, causing extreme events like soil erosion, droughts, floods, forest fires and tornadoes. Fossil fuel consumption produces CO2, and trapping heat is the major reason for a rapid increase in global temperature, and electricity generation is responsible for 25% of greenhouse gas emissions. Fossil fuel consumption, CO2 emissions and their adverse impact have become the focus of efforts to mitigate climate change vulnerability. This study explores empirical determinants of vulnerability to climate change such as ecosystem, food, health and infrastructure. The sustainable use of energy is necessary for development, and a source of response to climate change. The present study focuses on renewable energy consumption to determine climate vulnerability in G7 countries between 1995 and 2019. The panel ARDL approach showed that the renewable to non-renewable energy mix showed a quadratic effect on vulnerability, whereby a minimum threshold of renewable energy is required to witness a reduction in food, health and infrastructure vulnerability. Other results indicate that trade openness and development expenditures reduce health vulnerability. Development expenditures also decrease ecosystem vulnerability, while trade openness increases it. However, both of these variables increase infrastructure vulnerability. Avoiding severe food and water crises requires investment to tackle climate change, conserve energy and water resources, reform global trade and food markets, and adapting and adopting climate-resilient responses to change.