Showing papers in "Environmental Science and Pollution Research in 2021"

Renewable and non-renewable energy consumption, economic complexity, CO2 emissions, and ecological footprint in the USA: testing the EKC hypothesis with a structural break

Abstract: The economic complexity index, which indicates the level of knowledge and skills needed in the production of the exported goods, is a measure of economic development. Some researchers have investigated the validity of the environmental Kuznets curve (EKC) hypothesis by considering the effect of economic complexity on environmental pollution. This study, for the first time, examines the impact of economic complexity, globalization, and renewable and non-renewable energy consumption on both CO2 emissions and ecological footprint within the framework of the EKC hypothesis in the USA. To this end, the combined cointegration test and three different estimators are utilized for the period from 1980 to 2016. The main finding of the study indicates that the inverted U-shaped EKC relationship between economic complexity and environmental pollution holds for the USA. In addition to this finding, globalization and renewable energy consumption play a dominant role in reducing environmental pollution, while non-renewable energy consumption contributing factor to environmental pressure. Overall, the outcomes indicate that increasing economic complexity helps to minimize environmental degradation after a threshold, and the US government can provide a better environment by using renewable energy sources and globalization. Graphical abstract.

A state-of-the-art review on wastewater treatment techniques: the effectiveness of adsorption method.

Abstract: The world’s water supplies have been contaminated due to large effluents containing toxic pollutants such as dyes, heavy metals, surfactants, personal care products, pesticides, and pharmaceuticals from agricultural, industrial, and municipal resources into water streams. Water contamination and its treatment have emerged out as an escalating challenge globally. Extraordinary efforts have been made to overcome the challenges of wastewater treatment in recent years. Various techniques such as chemical methods like Fenton oxidation and electrochemical oxidation, physical procedures like adsorption and membrane filtration, and several biological techniques have been recognized for the treatment of wastewater. This review communicates insights into recent research developments in different treatment techniques and their applications to eradicate various water contaminants. Research gaps have also been identified regarding multiple strategies for understanding key aspects that are important to pilot-scale or large-scale systems. Based on this review, it can be determined that adsorption is a simple, sustainable, cost-effective, and environmental-friendly technique for wastewater treatment, among all other existing technologies. However, there is a need for further research and development, optimization, and practical implementation of the integrated process for a wide range of applications.

Dynamic relationship between technological innovations, financial development, renewable energy, and ecological footprint: fresh insights based on the STIRPAT model for Asia Pacific Economic Cooperation countries.

Abstract: This article seeks to analyze the impact of technological innovations, financial development, renewable energy consumption, economic growth, and population on the ecological footprint in Asia Pacific Economic Cooperation (APEC) countries by utilizing the balanced longitudinal data set during the period from 1990 to 2017. This study creates a new technological innovation index through principle component analysis including three important indicators that represent the technology and employs a consistent environmental framework identified as Stochastic Impacts by Regression on Population, Affluence and Technology (STIRPAT) model. The second generation panel estimation technique is employed to calculate robust and reliable outcomes. After confirming the cross-sectional dependency among series, panel unit root tests confirm that all variables are stationary at their first integrated order. Furthermore, Westerlund cointegration test confirms the presence of long-run association among variables. The outcomes explore that financial development and renewable energy utilization significantly accelerate the environmental quality by 0.0927% and 0.4274%, respectively. While, the increase in technological innovation activities, economic growth, and population size has a detrimental effect on environmental quality in the long run by 0.099%, 0.517%, and 0.458%, respectively. Moreover, the results of panel Dumitrescu and Hurlin (D-H) non-causality test discovered the bidirectional causality relationship between financial development, technological innovations, renewable energy consumption, economic growth, and population size with the ecological footprint. These empirical findings provide some vital policy implications for central authority and policymakers to overcome the detrimental impact on environmental quality in the APEC region.

Effect of microplastics in water and aquatic systems.

Abstract: Surging dismissal of plastics into water resources results in the splintered debris generating microscopic particles called microplastics. The reduced size of microplastic makes it easier for intake by aquatic organisms resulting in amassing of noxious wastes, thereby disturbing their physiological functions. Microplastics are abundantly available and exhibit high propensity for interrelating with the ecosystem thereby disrupting the biogenic flora and fauna. About 71% of the earth surface is occupied by oceans, which holds 97% of the earth's water. The remaining 3% is present as water in ponds, streams, glaciers, ice caps, and as water vapor in the atmosphere. Microplastics can accumulate harmful pollutants from the surroundings thereby acting as transport vectors; and simultaneously can leach out chemicals (additives). Plastics in marine undergo splintering and shriveling to form micro/nanoparticles owing to the mechanical and photochemical processes accelerated by waves and sunlight, respectively. Microplastics differ in color and density, considering the type of polymers, and are generally classified according to their origins, i.e., primary and secondary. About 54.5% of microplastics floating in the ocean are polyethylene, and 16.5% are polypropylene, and the rest includes polyvinyl chloride, polystyrene, polyester, and polyamides. Polyethylene and polypropylene due to its lower density in comparison with marine water floats and affect the oceanic surfaces while materials having higher density sink affecting seafloor. The effects of plastic debris in the water and aquatic systems from various literature and on how COVID-19 has become a reason for microplastic pollution are reviewed in this paper.

Energy structure, digital economy, and carbon emissions: evidence from China

Abstract: As a new production factor, digitalization plays a vital role in society, economy, and the environment. Based on the expanded STIRPAT model, this paper empirically tests the impact of energy structure and digital economy on carbon emissions by panel data from 2011 to 2017 in 30 provinces of China. The results show that the energy structure mainly based on coal has a significant driving effect on carbon emissions. Compared with non-resource-based provinces, the increase of energy structure dominated by coal has a greater effect on carbon emission in resource-based provinces. It is worth noting that this kind of influence has a greater impact on the central region of China, followed by the western region and the eastern region. Besides, the digital economy has a significant moderating effect. With the development of digital economy, the impact of coal-based energy structure on carbon emissions is gradually decreasing. This effect is more significant in non-resource-based provinces and eastern China, but not significant in resource-based cities and central and western China.

An update of the Worldwide Integrated Assessment (WIA) on systemic insecticides. Part 2: impacts on organisms and ecosystems.

Abstract: New information on the lethal and sublethal effects of neonicotinoids and fipronil on organisms is presented in this review, complementing the previous Worldwide Integrated Assessment (WIA) in 2015. The high toxicity of these systemic insecticides to invertebrates has been confirmed and expanded to include more species and compounds. Most of the recent research has focused on bees and the sublethal and ecological impacts these insecticides have on pollinators. Toxic effects on other invertebrate taxa also covered predatory and parasitoid natural enemies and aquatic arthropods. Little new information has been gathered on soil organisms. The impact on marine and coastal ecosystems is still largely uncharted. The chronic lethality of neonicotinoids to insects and crustaceans, and the strengthened evidence that these chemicals also impair the immune system and reproduction, highlights the dangers of this particular insecticidal class (neonicotinoids and fipronil), with the potential to greatly decrease populations of arthropods in both terrestrial and aquatic environments. Sublethal effects on fish, reptiles, frogs, birds, and mammals are also reported, showing a better understanding of the mechanisms of toxicity of these insecticides in vertebrates and their deleterious impacts on growth, reproduction, and neurobehaviour of most of the species tested. This review concludes with a summary of impacts on the ecosystem services and functioning, particularly on pollination, soil biota, and aquatic invertebrate communities, thus reinforcing the previous WIA conclusions (van der Sluijs et al. 2015).

Does globalization matter for ecological footprint in Turkey? Evidence from dual adjustment approach.

Abstract: The main aim of this paper is to explore the role of globalization on ecological footprint in Turkey while controlling energy consumption, economic growth, and trade openness. To achieve this objective, we employ dual adjustment approach. The main novelty of the dual adjustment approach is that the method offers another path to the cointegration analysis by relaxing the implicit assumption of the singular adjustment in cointegration analysis. The findings clearly reveal that (i) in the long run, globalization impacts ecological footprint positively and (ii) trade openness reduces ecological footprint in the short run, while ecological footprint is negatively affected by GDP growth in both the short and the long run. In terms of policy implications, this study suggests that in order to improve the environmental quality, Turkey should adopt such policies that encourage energy consumers to shift toward renewable energy. Moreover, the government should take necessary steps to diversify the overall energy mix toward renewable energy.

Occupational stress, job satisfaction, and intent to leave: nurses working on front lines during COVID-19 pandemic in Zagazig City, Egypt.

Abstract: During epidemics, the medical working environment is highly stressful especially for the nurses. The purpose of this study was to assess occupational stress, job satisfaction, and intent to leave among nurses dealing with suspected COVID-19 patients. A comparative cross-sectional study was conducted among 210 nurses from Zagazig Fever Hospital (ZFH) which is one of COVID-19 Triage Hospitals (Group I) versus 210 nurses from Zagazig General Hospital (ZGH) (Group II) which is neither triage nor isolation hospital; dealing only with suspected COVID-19 patients in emergency at Sharkia Governorate, Egypt, from 10th to 24th of April 2020. Assessment was done through online questionnaire formed of the Expanded Nursing Stress Scale, the McCloskey/Mueller Satisfaction Scale, and questionnaire assessing specific COVID-19-associated stressors and nurses' intent to leave. Three quarters of nurses (75.2%) in ZFH had high stress level versus 60.5% in ZGH. Workload (98.6%), dealing with death and dying (96.7%), personal demands and fears (95.7%), employing strict biosecurity measures (95.2%), and stigma (90.5%) represented the highest priority stressors in ZFH, while exposure to infection risk (97.6%) was the stressor of highest priority among ZGH according to Pareto analysis. More than half of nurses (51.0%) in ZFH reported low satisfaction level versus 41.9% in ZGH. Only 4.8% of nurses in ZFH definitely had no intent to leave their present job. Type of hospital and its related workload were the most significant predictor of all the studied outcomes.

Natural resource, globalization, urbanization, human capital, and environmental degradation in Latin American and Caribbean countries.

Abstract: The world is increasingly getting urbanized and globalized, and the increase in natural resource exploration could have a far-reaching impact on environmental quality. Since most Latin American and Caribbean countries (LACCs) have proximity to the Amazon, they, therefore, rely heavily on agriculture and mining which develop via deforestation which could exacerbate the already increasing carbon dioxide emissions (CO2 emissions). Therefore, to the best of our knowledge, this study becomes the first to investigate the link between natural resources, globalization, urbanization, and environmental degradation in LACCs countries from 1990 to 2017 with advanced panel data econometric techniques. The unit root tests affirm all the variables to be stationary at first difference, and the Westerlund (Oxf Bull Econ Stat 69(6):709–748, 2007) cointegration test confirms the long-run relationship among the variables. The augmented mean group (AMG) and the common correlated effects mean group (CCEMG) results affirm that the aforementioned variables add to CO2 emissions, while human capital mitigates it. Further findings reveal that human capital performs a moderating role in promoting urbanization sustainability. The country-specific results confirm that economic growth adds to emissions in all the countries, except in the Dominican Republic. A feedback causality exists between economic growth, globalization, urbanization, and CO2 emissions. This study argues for the development of human capital, a gradual transition to sustainable growth-driven and knowledge-based industries, and the introduction of sustainability practices in the natural resource sector to mitigate CO2 emissions in LACCs.

Linking Information Communication Technology, trade globalization index, and CO2 emissions: evidence from advanced panel techniques

Abstract: Previous studies consider ICT a two-edged sword that can harm or benefit the environment. In recent years, ICT penetration has considerably increased in the ASEAN-6 countries and the leaders of ASEAN are willing to bring a digital revolution by increasing ICT infrastructure and reducing trade barriers in the region under the Master Plan of ASEAN Connectivity-2025. Hence, this paper explores the effect of ICT and the recently developed trade globalization index on CO2 emissions in ASEAN-6 countries. The study relies on advanced panel econometric approaches, including Westerlund (2007, 2008) and Pedroni cointegration tests, CUP-FM long-run method, and panel DH causality approach. The results suggest cointegration among variables. The results of CUP-FM indicate that ICT contributes to improving environmental quality by mitigating CO2 emissions. Similarly, trade globalization is also sustainable in the region as it reduces emissions. The results are also confirmed by using the CUP-BC estimator. The findings from the DH causality test unfold causality from ICT and trade globalization index to CO2 emissions. Besides, the long-run estimates reveal the detrimental effect of energy consumption on emissions and the U-shaped association between GDP and emissions. Moreover, unidirectional causality from ICT to trade globalization index and energy consumption indicates that ICT influences trade globalization and energy consumption. Finally, environmental policies in the context of ASEAN are extensively discussed.

Nexus between green finance and climate change mitigation in N-11 and BRICS countries: empirical estimation through difference in differences (DID) approach

Abstract: Green finance is inextricably linked to investment risk, particularly in emerging and developing economies (EMDE). This study uses the difference in differences (DID) method to evaluate the mean causal effects of a treatment on an outcome of the determinants of scaling up green financing and climate change mitigation in the N-11 countries from 2005 to 2019. After analyzing with a dummy for the treated countries, it was confirmed that the outcome covariates: rescon (renewable energy sources consumption), population, FDI, CO2, inflation, technical corporation grants, domestic credit to the private sector, and research and development are very significant in promoting green financing and climate change mitigation in the study countries. The probit regression results give a different outcome, as rescon, FID, CO2, Human Development Index (HDI), and investment in the energy sector by the private sector that will likely have an impact on the green financing and climate change mitigation of the study countries. Furthermore, after matching the analysis through the nearest neighbor matching, kernel matching, and radius matching, it produced mixed results for both the treated and the untreated countries. Either group experienced an improvement in green financing and climate change mitigation or a decrease. Overall, the DID showed no significant difference among the countries.

Linking financial development, economic growth, and ecological footprint: what is the role of technological innovation?

Abstract: The literature analyzing the ecological impacts of financial development (FD) documents mixed results. In addition, very limited researches consider the role of technological innovation in ecological sustainability even though technological innovation is indispensable to achieve technological advancement, which may help in sustainable development and ecological sustainability. Therefore, this work probes the effects of technological innovation, financial development, and economic growth (GDP) on the ecological footprint (EF) controlling urbanization and employing a STIRPAT framework. The analysis of data from West Asia and Middle East nations from 1990 to 2017 revealed cointegration in the model. The long-run coefficients produced by the continuously updated fully modified technique revealed that a 1% upsurge in technological innovation decreases EF by 0.010%. Interestingly, technological innovation is helpful to decrease EF and enhance economic growth in the West Asia and Middle East (WAME) countries. However, a 1% rise in FD boosts the level of EF by 0.0016% inferring that FD stimulates ecological degradation. Likewise, urbanization in the WAME countries raises EF levels and contributes adversely to ecological quality. In addition to this, the study revealed the environmental Kuznets curve hypothesis in the selected countries accounting for technological innovation, FD, and urbanization in the model. The causal analysis provided evidence of unidirectional causality from FD to EF and bidirectional causality between technological innovation and EF. The study recommends more investment in research and development and strong collaboration between the universities and industries to promote the level of technological innovation for both sustainable development and ecological sustainability. In addition, urban sustainability policies are necessary without decreasing the urbanization level.

Do public-private partnerships in energy and renewable energy consumption matter for consumption-based carbon dioxide emissions in India?

Abstract: The present study explores the effect of renewable energy consumption and public-private partnership investment in energy on consumption-based carbon dioxide emissions for India from 1990Q1 and 2015Q4 whilst controlling technology innovation and economic growth. The study employs the Maki cointegration, Bayer-Hanck cointegration, fully modified ordinary least squares, dynamic ordinary least squares, and frequency-domain causality tests to explore these dynamics. The outcomes of the present study reveal that (i) there is a long-run cointegration equation between consumption-based carbon dioxide emissions and its possible determinants; (ii) whilst renewable energy consumption is beneficial for lowering consumption-based carbon dioxide emissions, public-private partnership investment in energy makes a positive contribution to consumption-based carbon dioxide emissions in the long-run; and (iii) public-private partnership investment in energy and renewable energy consumption also significantly causes consumption-based carbon dioxide emissions at different frequency levels in India. The present study recommends that policymakers in India should apply a series of policies to discourage the use of non-renewable energy and raise the share of renewable energy in order to reduce consumption-based carbon dioxide emissions in the country. The present study also recommends that public-private partnership investment in renewable energy should increase to achieve cleaner production processes.

Do fiscal decentralization and natural resources rent curb carbon emissions? Evidence from developed countries

Abstract: This study provides new insight by introducing the role of fiscal decentralization and natural resources rent in affecting CO2 emissions. For assessing this objective, this paper use panel data from seven highly fiscal decentralized Organization for Economic Cooperation and Development (OECD) countries from 1990 to 2018. For empirical analysis, we use the Westerlund test and cross-sectional autoregressive distributive lag model. In order to ascertain the integration order of variables, the study utilizes the Pesaran second-generation unit-root test. The findings reveal that all the variables are stationary at first difference. The long-run results confirm that fiscal decentralization and natural resources rent improve the atmosphere by reducing CO2 emissions. Moreover, gross domestic product and total natural resources rent increase, while improvement in institutional quality reduces CO2 emissions. For policy implication, this study recommends that transferring the power to the local governments will further reduce CO2 emissions and shift these countries to more environmentally friendly sources.

A systematic review of emerging human coronavirus (SARS-CoV-2) outbreak: focus on disinfection methods, environmental survival, and control and prevention strategies

Abstract: Recently, an outbreak of a novel human coronavirus which is referred to as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (COVID-19) by the World Health Organization (WHO) was identified in Wuhan, China. To help combat the pandemic, a systematic review (SR) was performed to collect all available studies concerning inactivation methods, environmental survival, and control and prevention strategies. A comprehensive literature survey yielded 42 eligible studies which included in the SR. The results confirmed that the WHO recommended two alcohol-based hand rub formulations (ethanol 70–95% and 2-propanol 70–100%) had an efficient virucidal activity in less than 60 s by more and equal 4 log10 (≥ 99.99) approximately and could be used for disinfection in public health and health-care facilities. The findings indicated that SARS-CoV-1 and SARS-CoV-2 can survive under different environmental conditions between 4 and 72 h approximately. The results also demonstrate that temperature and relative humidity are important factors in the survival of SARS-CoV-2. The main strategies recommended by the WHO to avoid contracting SARS-CoV-2 are hand washing several times in the day and maintaining social distancing with others. It is important to note that the more studies require addressing, the more possible airborne transmission due to the survival of SARS-CoV-2 in aerosols for 3 h approximately. We hope that the results of the present SR can help researchers, health decision-makers, policy-makers, and people for understanding and taking the proper behavior to control and prevent further spread of SARS-CoV-2.

The dynamic links among energy consumption, tourism growth, and the ecological footprint: the role of environmental quality in 38 IEA countries

Abstract: We examine the impact of energy consumption and tourism growth on the ecological footprints and economic growth of 38 International Energy Agency (IEA) countries, as moderated by labor and capital, over the 1995-2018 period. We develop a comprehensive empirical analysis that applies second-generation unit root and cross-section dependence analysis. The co-integration analysis indicates long-run relationships among the variables, while the fully modified least square (FMOLS) approach specifies that energy consumption promotes economic growth and degrades environmental quality in the long run, and tourism growth improves environmental quality and stimulates economic growth in the long run. In addition, the result of a pairwise Granger causality test reveals bidirectional causality between energy consumption and economic growth and unidirectional causality from the ecological footprint to energy consumption. Policy implications for theory and practice and directions for future research in the area are presented.

Modeling CO2 emissions in Malaysia: an application of Maki cointegration and wavelet coherence tests

Abstract: One of humanity's most significant problems in the twenty-first century revolves around how to balance the mitigation of environmental pollution while achieving sustainable economic development. Despite increased awareness and dedication to climate change, the planet is still seeing a drastic decrease in the volume of pollutant emissions. This study explores the long-run and causal impact of economic growth, financial development, urbanization, and gross capital formation on Malaysia's CO2 emissions based on the STIRPAT framework. The current paper employs recently developed econometric techniques such as Maki co-integration, auto-regressive distribution lag (ARDL), fully modified OLS (FMOLS), dynamic ordinary least square (DOLS), and wavelet coherence and gradual shift causality tests to investigate these interconnections. The advantage of the gradual shift causality test is that it can capture the causality in the presence of a structural break(s). The findings from the Maki co-integration and ARDL bounds tests reveal evidence of cointegration among the variables. The ARDL test reveals that economic growth, gross capital formation, and urbanization exert a positive impact on CO2 emissions. Furthermore, the wavelet coherence test reveals that there is a significant dependency between CO2 emissions and economic growth, gross capital formation, and urbanization. The Toda Yamamoto and Gradual shift causality tests reveal that there is a (a) unidirectional causality from urbanization to CO2 emissions, (b) unidirectional causality from economic growth to CO2 emissions, and (c) unidirectional causality from gross capital formation to CO2 emissions.

The dynamic linkage between globalization, financial development, energy utilization, and environmental sustainability in GCC countries.

Abstract: This study investigates the impact of globalization, financial development, and energy utilization on environmental sustainability in the Gulf Cooperation Council (GCC) countries. GCC countries are currently experiencing higher demand and utilization of energy resources, high global integration, and improvements in the financial sector that poses serious environmental sustainability challenges. We have employed a relatively comprehensive proxy, i.e., ecological footprint for environmental sustainability and more advanced and robust econometric strategies (second-generation) to examine the impact of globalization, financial development, and energy utilization on environmental sustainability in the GCC countries, which have a significant departure from the extant literature. The results of this study show that globalization, financial development, and energy utilization are significantly deteriorating the environmental quality in the GCC countries. Additionally, in order to account for the national heterogeneity, we have performed country-specific analysis and interestingly, results reveal that globalization, financial development, and energy utilization negatively influence the environmental sustainability in each sample country that is consistent with the findings of overall panel. Furthermore, the findings are robust to various robustness checks that we have performed for checking the reliability of our main findings. This study also offers some useful policy implications to the stakeholder in general and specifically concerning the GCC countries for promoting their environmental sustainability.

Remittance inflows affect the ecological footprint in BICS countries: do technological innovation and financial development matter?

Abstract: This study examines the impact of remittance inflows, technological innovations, and financial development on environmental quality in Brazil, India, China, and South Africa (BICS) economies over 1990-2016. This study employed a comprehensive environment proxy, i.e., ecological footprint for environmental quality, and also considers more advanced and robust econometric (second-generation) techniques. The outcomes of the current study reveal that remittance inflows and financial development significantly deteriorate the environmental quality, while technological innovations are an essential factor for the reduction of ecological footprint level. Furthermore, the results of the interaction terms show a significantly adverse effect on the ecological footprint. Additionally, the findings of country-wise analysis reveal that remittance inflows and financial development worsen the environmental quality in each sample country, while the technological innovations promote the environmental sustainability that is steady with panel results. Besides, the environmental Kuznets curve (EKC) hypothesis was verified across the BICS economies. Consistent with the key findings, an inverted U-shaped relationship exists between economic growth and ecological footprint in the case of Brazil and South Africa. In contrast, the U-shaped EKC hypothesis exists in the case of China and India. For robust policy implication, the findings of this study highlighted the dire need for "green policy tools" that should be linked with the BICS economy policies and driver for sustained growth.

Evaluating green innovation and performance of financial development: mediating concerns of environmental regulation

Abstract: This research measures the relationship between green innovation and the performance of financial development by using an econometric estimation during the year of 2000 to 2018 in 28 Chinese provinces. It is intended to explore the relative role of green technological innovation in driving green financial development in the west and central China, as well as how it influences economic growth in these regions. Ordinary least square (OLS) framework was utilized in mainland China to perform empirical studies by using an econometric estimation. This study claims that China has adopted research-based education system, while those for economic growth and expenditure in the regions while the innovation parts results shows that the tertiary education were 12.42% and 13.53% versus the 10.50% and 10.6% in the eastern area. The research-based education increases the patents in green innovation and boosts the environmental policy. The financial development led to green technological development and innovation. Green innovation and financial development decrease the emissions, and it is apparent that as environmental regulations stimulate technical development, the superiority of human resources increases. The findings indicate that green financing reduces short-term lending, thus limiting clean energy overinvestment, while the long-term loans have little impact on renewable energy overinvestment, and the intermediary effect is unmaintainable. Meanwhile, the green financial growth will reduce renewable energy overinvestment and increase renewable energy investment productivity to certain amount.

Assessing energy security in Africa based on multi-dimensional approach of principal composite analysis

Abstract: The concept of energy security has become an increasingly challenging issue in Africa, forcing energy-deficient countries to forge mutual partnerships with energy sufficient countries to access it for their domestic consumption. This study formulates a composite index of energy security in Africa as well as evaluates its impacts and trends using a sample of 28 countries on the continent, during the 2000–2018 period by using a principal composite factor analysis (PCA), with the series of 13 variables. Further interpretation was carried out using these tests: Kaiser-Meyer-Olkin measure of sampling adequacy and Bartlett’s test of sphericity, Pearson correlation test, and Cronbach’s alpha test. The key results show a trend of energy insecurity among the countries studied, as energy imports loads high in most countries as well as per capita emission, together with fossil fuel source consumption correlating high. These results validate the stark reality on the African continent. The inference from the results of the anaylsis conclude that the principal component analysis (PCA) results of the energy index were considered fit and reliable for the analysis, with the most important Cronbach’s alpha test coefficient of 0.8797, far above the standard 0.6 model reliability level. Based on this study, the paper proffers there should be increased intra-regional trading of energy among the various power pools on the continent and increased regional renewable energy investments as well as investment in energy infrastructure, measures to reduce electricity system losses, environmental sustainability, and the adoption of energy in efficiency on the continent.

It is time to control the worst: testing COVID-19 outbreak, energy consumption and CO 2 emission.

Abstract: During the COVID-19 outbreak, managing energy consumption and CO2 emission remained a serious problem. The previous literature rarely solved this real-time issue, and there is a lack of public research proposing an effective way forward on it. However, the study examines the impact of the COVID-19 outbreak on energy consumption and CO2 emission. The design of the study is quantitative, and the data is acquired from different online databases. The model of the study is inferred by using panel unit root test and ARDL test. The robustness of study findings was checked through panel quantile regression. The findings highlighted that the COVID-19 outbreak is negatively significant with energy consumption and CO2 emission. The study suggested revising the energy consumption patterns by developing and implementing the national action plan for energy consumption and environmental protection. The study also contributed in knowledge by suggesting the novel insight into CO2 emission and energy consumption patterns during COVID-19 pandemic and recommended to consider renewable energy transition methods as an opportunity for the society. For a more effective management of energy consumption and environmental pollution, country-specific measures are suggested to be taken, and the national government should support the concerned public departments, ministries and private organizations on it. To the best of our study, this is one of the pioneer studies studying this novel link and suggesting the way forward on recent topicality.

3D printing filament as a second life of waste plastics-a review.

Abstract: In recent times, the issue of plastic recycling has become one of the leading issues of environmental protection and waste management. Polymer materials have been found an application in many areas of daily life and industry. Along with their extended use, the problem of plastic wastes appeared because, after withdrawal from use, they became persistent and noxious wastes. The possibility of reusing polymeric materials gives a possibility of valorization-a second life-and enables effective waste utilization to obtain consumable products. The 3D printing market is a well-growing sector. Printable filaments can be made from a variety of thermoplastic materials, including those from recycling. This paper focuses on a review of the available literature on the production of filaments for 3D printers from recycled polymers as the alternative to present approach of central selective collection of plastics. The possibility of recycling of basic thermoplastic materials and the impact of processing on their physicochemical and mechanical properties were verified (Lanzotti et al. 2019). In addition, commercially available filaments produced from recycled materials and devices which allow self-production of filaments to 3D printing from plastic waste were reviewed.

Effects of the spread of COVID-19 on public health of polluted cities: results of the first wave for explaining the dejà vu in the second wave of COVID-19 pandemic and epidemics of future vital agents.

Abstract: The pandemic of coronavirus disease 2019 (COVID-19), caused by the novel coronavirus SARS-CoV-2, is generating a high number of deaths worldwide. One of the current questions in the field of environmental science is to explain how air pollution can affect the impact of COVID-19 pandemic on public health. The research here focuses on a case study of Italy. Results suggest that the diffusion of COVID-19 in cities with high levels of air pollution is generating higher numbers of COVID-19 related infected individuals and deaths. In particular, results reveal that the number of infected people was higher in cities with more than 100 days per year exceeding limits set for PM10 or ozone, cities located in hinterland zones (i.e. away from the coast), cities having a low average speed of wind and cities with a lower average temperature. In hinterland cities having a high level of air pollution, coupled with low wind speed, the average number of infected people in April 2020-during the first wave of the COVID-19 pandemic-is more than tripled compared to cities with low levels of air pollution. In addition, results show that more than 75% of infected individuals and about 81% of deaths of the first wave of COVID-19 pandemic in Italy are in industrialized regions with high levels of air pollution. Although these vital results of the first wave of the COVID-19 from February to August 2020, policymakers have had a low organizational capacity to plan effective policy responses for crisis management to cope with COVID-19 pandemic that is generating recurring waves with again negative effects, deja vu, on public health and of course economic systems.

Impact of foreign direct investment, natural resources, renewable energy consumption, and economic growth on environmental degradation: evidence from BRICS, developing, developed and global countries

Abstract: This research examined the impact of foreign direct investment, natural resources, renewable energy consumption, and economic growth on environmental degradation in BRICS, developing, developed, and global countries for the time period from 1991 to 2018 by using dynamic fixed effect model, GMM, and system GMM estimators. The examined results indicate that FDI causes environmental degradation in BRICS and developing countries while in developed countries, FDI helps environmental degradation reduction. The empirical results indicate that fuel resources and renewable energy consumption help to reduce the environment degradation in BRICS, developing, developed, and global countries while ore and metal resources cause environment degradation improvement in developed countries. Total natural resources (coal, oil, natural gas, and mineral rents) and economic growth are the main factors that boost the environmental degradation in BRICS, developing, developed, and global countries. Based on the examined results, policies are suggested for BRICS, developing, developed, and global countries. It is suggested that policy makers in these countries not only reply to protect environmental degradation but also support the growth of fuel resources, ore, and metal resource and total natural resources.

The role of technology innovation and people's connectivity in testing environmental Kuznets curve and pollution heaven hypotheses across the Belt and Road host countries: new evidence from Method of Moments Quantile Regression

Abstract: The Belt and Road Initiative (BRI) is closely linked to the ecological sustainability of the infrastructure ventures that intrinsically include the aspects of climate change and pollution. Though there exists literature on the environmental Kuznets curve (EKC) and pollution haven hypothesis (PHH), very few explore the scope in the light of Belt and Road host countries (B&RCs). Therefore, the study examines the income-induced EKC and Chinese outward foreign direct investment (FDI)-based PHH in the multivariate framework of people's connectivity and technology innovation in B&RCs from 2003 to 2018. The outcome of the study reveals that the observed relationship is quantile-dependent, which may disclose misleading results in previous studies using traditional methodologies that address the averages. Utilizing the novel "Method of Moments Quantile Regression (MMQR)" of Machado and Silva (J Econom 213:145-173, 2019), the findings confirm an inverted U-shape association between economic growth and CO2 emissions only at lower to medium emission countries, thus validating the EKC hypothesis. The Chinese outward FDI flows increase carbon emissions at medium to high emission countries, thereby confirming PHH. The findings also indicate that people's connectivity contributes to increasing emissions while innovation mitigates carbon emissions at lower to medium polluted countries. Moreover, the outcomes of Granger causality confirm one-way causality between economic growth and CO2 emissions, between FDI and CO2 emissions, between people's connectivity and CO2 emissions, and between innovation and CO2 emissions. The results offer valuable insight for legislators to counteract CO2 emissions in B&RCs through innovation-led energy conservation in infrastructure projects while adopting green and sustainable financing mechanisms to materialize mega construction projects under the BRI.

Assessing the perceived impact of exploration and production of hydrocarbons on households perspective of environmental regulation in Ghana.

Abstract: This paper seeks to critically study the perceived impacts of the exploration of hydrocarbons in selected coastal communities in the Western region, the oil and gas industry benefits to local communities, and to determine whether hydrocarbon development is a means for sustainable development. The study uses both quantitative and qualitative approaches using a questionnaire survey, key informant interview, and focus group discussion tools to understand the impact of oil and gas exploration and production in selected affected communities along the coast of Ghana. The activities of oil production and exploration impact negatively on communities; it also leads to a sharp increase in food prices thereby increasing their costs of living. The activity has also caused a decline in fish catch levels which happens to be the main economic activity as a result of exclusion zones created by oil companies which limited the extent fishermen can go fishing. In terms of infrastructure, the three communities are lacking, 77% of respondents from Princess Town hold the view that there is no motorable road linking their community in the next town and 60% from Aketakyi also hold the same view. Infrastructure such as roads, schools, water provision, and clinics are woefully provided in these communities.

Wavelet analysis of impact of renewable energy consumption and technological innovation on CO2 emissions: evidence from Portugal

Abstract: This paper uncover a new perception of the dynamic interconnection between CO2 emission and economic growth, renewable energy use, trade openness, and technological innovation in the Portuguese economy utilizing innovative Morlet wavelet analysis. The research applied continuous wavelet transform, wavelet correlation, the multiple and partial wavelet coherence, and frequency domain causality analyses are applied on variables of investigation using dataset between 1980 and 2019. The result of these analyses disclosed that the interconnection among the indicators progresses over time and frequency. The present analysis finds notable wavelet coherence and significant lead and lag interconnections in the frequency domain, while conflicting relationships among the variables are found in the time domain. The wavelet analysis according to economic viewpoint affirms that renewable energy consumption helps to curb CO2 while trade openness, technological innovation, and economic growth contribute to CO2. The outcomes also proposed that renewable energy consumption decreases CO2 in medium and long run in Portugal. Therefore, policymakers in Portugal should stimulate investment in renewable energy sources, establish restrictive laws, and enhance energy innovation.

Pollution, economic growth, and COVID-19 deaths in India: a machine learning evidence

Abstract: This study uses two different approaches to explore the relationship between pollution emissions, economic growth, and COVID-19 deaths in India. Using a time series approach and annual data for the years from 1980 to 2018, stationarity and Toda-Yamamoto causality tests were performed. The results highlight unidirectional causality between economic growth and pollution. Then, a D2C algorithm on proportion-based causality is applied, implementing the Oryx 2.0.8 protocol in Apache. The underlying hypothesis is that a predetermined pollution concentration, caused by economic growth, could foster COVID-19 by making the respiratory system more susceptible to infection. We use data (from January 29 to May 18, 2020) on confirmed deaths (total and daily) and air pollution concentration levels for 25 major Indian cities. We verify a ML causal link between PM2.5, CO2, NO2, and COVID-19 deaths. The implications require careful policy design.

Water-energy nexus: desalination technologies and renewable energy sources

Abstract: Rapid population growth and industrialization have contributed to a dramatic decline in the supply of freshwater. As a result, desalination is an important choice to solve the global problem of water scarcity. Nevertheless, the hyper-saline by-product, the high capital costs, and the high energy demands currently met by fossil fuels are key obstacles to the widespread adoption of desalination systems. Furthermore, desalination plants powered by fossil fuels have negative environmental impacts due to greenhouse gases (GHGs) emissions. In contrast to fossil fuels, renewable energy is abundant and clean and is therefore a promising alternative for powering desalination plants. This is why the water-energy nexus is a crucial step towards a sustainable future. Therefore, the integration of renewable energy sources (RES) into desalination is very important. The main objective of this review to analyze and evaluate desalination technologies (thermal-based and membrane-based) and RES (solar, wind, hydropower, geothermal, and biomass) that could be combined as an integrated process. Social-economic factors, environmental concerns, current challenges, and future research areas for both desalination and RES are discussed.