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This article examines the role of legal structure in explaining financial development in twenty-three emerging markets, which has not been explored in institutional economics literature before. This study relied on Pedroni, and Kao cointegration tests, which is followed by the renowned panel cointegration technique. The results of the Pedroni and Kao cointegration tests show that the variables understudy is cointegrated in the long-run. These findings are confirmed by the panel cointegration showing that legal structure (LS) has positive impact on financial development (FIND) in long-run that support Law and Finance, and New Institutional Economics theories in emerging markets. This study is the first to directly examine the long-run impact of LS on FIND in emerging markets, and the result remains consistent across alternative measure of FIND. The findings of this study have important policy implications for emerging markets. Policymakers should focus on creating a legal environment that is conducive to financial development. This includes strengthening the legal framework, improving regulatory regimes, and promoting market autonomy. Additionally, policymakers should work to attract foreign investment, which can help spur economic growth and development in emerging markets. The findings of the study are consistent across battery of robustness testing., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Anser et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

Energy poverty alleviation has emerged as a critical economic problem in recent years. Given the enormous number of people without essential energy services, a crucial concern is whether providing universal access to electrification will considerably affect environmental quality. The present research evaluates the asymmetric energy poverty-environmental quality nexus in South Asian economies. Previous works adopted panel data techniques, resulting in distinctive conclusions about the energy poverty-environmental quality nexus, irrespective of the truth that several nations could not establish such a correlation separately. This research, conversely, applies the Quantile-on-Quantile methodology, which enables independent determinations of time-series interconnection in all nations to offer worldwide yet economy-particular evidence concerning the relationship between the variables. The results indicate that energy poverty degrades environmental quality in most selected economies at particular data distribution quantiles. Moreover, the findings disclose that the ranks of asymmetries between the variables change by country, emphasizing the requirement of governments to take special care when accepting policies linked to energy poverty and environmental quality., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Pakistan's forest cover is experiencing significant degradation in the ongoing efforts to combat climate change. The current state of the climate catastrophe is acknowledged. Nevertheless, there is a significant lack of readiness to tackle it effectively, especially regarding safeguarding the welfare of forthcoming generations. Pakistan bears significant relevance for future generations in this global crisis. The primary objective of this study is to examine the environmental difficulties faced by Pakistan and emphasize the critical need to safeguard its natural resources, considering the well-being of present and future generations. By using rigorous correlation and robust least squares regression methods, we investigate the complex interplay of financial aid, environmental legislation, precipitation, population growth, foreign direct investment, and afforestation within the time frame spanning from 1990 to 2022. The findings demonstrate that providing financial aid for afforestation initiatives significantly expands forested areas in Pakistan. Furthermore, the expansion of the population, the implementation of rigorous environmental restrictions, and the yearly amount of precipitation all play a role in the augmentation of forest coverage in Pakistan. Nevertheless, an alarming pattern of diminishing forest coverage over the years presents noteworthy obstacles. The importance of governance in promoting afforestation initiatives and sustainable development is highlighted by the emergence of adequate regulatory quality as a key factor. The average amount of precipitation has a discernible beneficial influence, underscoring the significance of climatic factors. The results above emphasize the need to implement cautious water resource management strategies and regulations responsive to climatic conditions. Based on these observations, the study proposes promoting sustainable agricultural and forest management, adopting a well-balanced strategy towards population expansion, implementing regulatory changes, and prudent use of water resources., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)

Financial inclusion is critical element of economic growth as it makes financial services available to all facets of society and hence has an influence on environmental quality. Using data from 2004 to 2019, this research evaluates the asymmetric nexus between financial inclusion and environmental quality in the top-10 polluted nations (China, India, Russia, USA, Japan, Iran, Germany, Saudi Arabia, South Korea, and Indonesia). Previous research used panel data approaches, which resulted in usual findings of the connection between financial inclusion and environmental quality, even with the reality that numerous nations did not show such a linkage individually. This research, conversely, utilizes an exclusive method 'Quantile-on-Quantile (QQ)', which permits us to probe each nation distinctly to provide multilateral yet country-specific information about the relation between the variables. The estimations demonstrate that financial inclusion degrades environmental quality in 7 out of the 10 economies at many quantiles of data distribution. Additionally, the outcomes reveal that the degree of asymmetry between financial inclusion and carbon emissions differs by nation, stressing the need of governments giving particular attention while implementing policies related to financial inclusion and a sustainable environment., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

The global outbreak of COVID-19 caused serious threats to public health and economic growth all around the world, but on the other hand, the betterment of the environment took place. How pandemics' health uncertainty will affect environmental quality is a crucial matter to address. The paper investigates the asymmetric association between pandemics-related health uncertainty and greenhouse gas emissions (GHG) in the top emitter European Union economies (Italy, Germany, France, Poland, Netherlands, Spain, Czech Republic, Belgium, Romania, and Greece). Employing data from 1996 to 2019, a unique approach called 'Quantile-on-Quantile', is adopted to evaluate the influence of various quantiles of the health uncertainty on GHG emissions. According to estimates, health uncertainty enhances environmental quality by minimizing GHG in most of our chosen nations at certain quantiles of data, which makes pandemics a blessing in disguise for environmental quality. Additionally, the estimations indicate that the grades of asymmetry between our variables varies by locality, accentuating the requisite for authorities to give specific consideration while executing health uncertainty and environmental quality policies., Competing Interests: Conflict of InterestThe corresponding author declares that there is no conflict of interest with this work on behalf of all coauthors., (© University of Tehran 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

After the COVID-19 outbreak, this study examines the influence of modifications in China's Sustainable Growth Goals (SDGs) and economic development goals on Chinese enterprises' energy conservation and emissions reduction behavior. Meanwhile, the COVID-19 epidemic has erupted, displacing the flimsy traditional techniques. As a result, the post-COVID-19 pandemic emphasizes the need for a long-term sustainable development method compatible with the local and regional environmental systems. The main objective of this study is used as a roadmap to steer the post-COVID-19 pandemic on a sustainable green path by emphasizing sustainable energy strategies to connect in SDG-related efforts. The investigation in this paper begins with examining significant impacts in the energy industry and their impact on progress toward sustainability. The empirical findings that the CO 2 emissions reduction objectives in long-term development plans had a considerable impact on energy saving and emissions reduction, lowering energy consumption intensity by 3.33% and carbon emission intensity by 4.23% between 2010 and 2019. Besides, the results and long and short run techniques are built to describe the Sustainable Development Goals interface, with the result revealing that Sustainable Development Goals enhance the green economic recovery performance. Furthermore, this study recommends that the key natural resources and green economic recovery policies to overcome the climate change impacts by COVID-19 pandemic., (© 2022 Elsevier Ltd. All rights reserved.)

Studies in the Benin Republic have identified contextual factors that determine health facility delivery among women of reproductive age. However, it is not certain if the same set of factors predicts facility delivery for women who enrolled in health insurance and those who did not. The study seeks to compare the determinants of health facility delivery for mothers under health insurance and those that are not in the Benin Republic. The study used data for 33,078 women of reproductive age, drawn from the most recent Benin demographic and health survey (2017-18). The characteristics of the women were described using simple proportions and frequency. Binary Logistic regression was used to examine determinants of health facility delivery for both groups of women. The result showed that only 0.7% of the women were under health insurance coverage. The prevalence of health facility delivery was high in the enrolled group but not in the unenrolled group (98.3% vs. 87.8%). The uniform determinants of health facility delivery across the two groups were household wealth, education, employment, land/house ownership, media exposure, a minimum of four antenatal contacts, and place of residence. To improve the coverage of health facility delivery, a multi-pronged approach should be used to improve household socioeconomic status, encourage media use among women, expand education opportunities for women, and specifically target rural women in Benin.

The effect of quality institutions on growth-environmental nexus is a generally ignored topic, especially in South Asia economies affiliated with the belt and road initiatives (BRIs). To fill this gap, we have examined the effect of BRI policy, economic freedom (EF), and institutional quality (IQ) on growth-environmental nexus in the South Asian region from 1984 to 2019. We have used CO 2 emission as a proxy for the environment in this study. To prevent variable bias, we also included energy consumption (EN) and trade openness (TO) as key factors in the model. To solve the problem of cross-sectional dependence, we have used the second-generational unit root test. The results of unit root tests indicate that the variable IQ is stationary at the level and other variables are stationary at the first difference. Furthermore, all of the variables are cointegrated, according to the panel cointegration test. Thus, we have used the panel autoregressive distributed lag (ARDL) method to estimate the long-run (LR) and short-run (SR) impact of response factors on economic growth. Furthermore, this research utilized the Granger causality test among the selected variables to inquire into the causalities. The basic findings are as follows: (i) A significantly positive interaction variable (CO 2 IQ) among CO 2 and IQ suggests that effective and fair political institutions are critical for increasing economic development and decreasing CO 2 emissions simultaneously. (ii) Economic growth is invigorated by energy consumption, trade, economic freedom, and institutional quality. (iii) Since 2013, more significant economic growth has been stimulated by BRI policy in BRI-associated countries; thus, both the SR and LR results are significantly positive. Hence, it is essential to improve the quality of institutions to reduce carbon emissions during economic growth., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study's objective is to examine the relationship between COVID-19 cases, environmental sustainability ratings, and mineral resource rents in a large cross section of 97 countries. The emergence of novel coronavirus 2019 (COVID-19) enlarges its magnitude across the international borders and damages social, economic, and environmental infrastructure with a high rate of human death tolls. The mineral resources are also devastated, which served as a primary raw input into the production system. The adverse effects of the COVID-19 pandemic on the environment and mineral resources are studied in a large panel of countries and found that mineral resource rents and population growth improve environmental sustainability rating (ESR). In contrast, an increase in coronavirus cases decreases the rating scale across countries. Further, mineral resources first decrease along with increased COVID-19 cases due to strict government policies, including the mandatory shutdown of economic institutions. Further, mineral resource rents increase later because of resuming economic activities in many parts of the world. The high rate of population growth is another important factor that negatively affects mineral resources across countries. Through impulse response and variance decomposition estimates, an exacerbated coronavirus cases and population growth would likely negatively affect ESR and mineral resources. In contrast, COVID-19 recovered cases will likely play a more significant role in securing mineral resources over time. Therefore, the global mineral resource conservation policies and improving ESR are highly needed during the COVID-19 to keep the significant economic gains in unprecedented times., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The linkage between renewable energy resources and environmental influences on economic growth among selected Asian economies play a vital role in sustainable economic development. This study encompasses the panel data sets for eight selected Asian countries, and the period starts from 1990 to 2018. This research relies on the panel vector error correction model (PVECM) for data estimation. The overall findings indicate that biomass, geothermal, and wind power sources of energy have a positive and significant impact on the economic advancement of Asian economies. Besides that, as opposed to the other two renewable energy sources, windpower has a greater impact on economic development. Furthermore, the empirical findings of current research have significant implications towards selected Asian countries' energy policy related to both private and public sector enterprises as it helps in identifying the industrial sectors which have greater contribution towards the economy and their energy requirements in long term., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

It is well known that pandemic-related uncertainty affects various macroeconomic indicators, including environmental quality. Due to pandemic outbreaks, the reduction in economic activities affects the environmental quality in many economies. The study explores the impact of pandemic uncertainty on environmental quality in East-Asia and Pacific countries. Most past research use only CO 2 emissions, which is an inappropriate measurement of environmental quality. Besides CO 2 emissions, we have utilized other pollutants like N 2 O and CH 4 emissions along with ecological footprint. The traditional econometric approaches ignore cross-sectional dependence and heterogeneity and give biased outcomes. Hence, we have employed a new method, "Dynamic Common Correlated Effects (DCCE)," which can excellently deal with the problems mentioned above. The short-run and long-run DCCE estimations show a negative and significant influence of pandemic uncertainty on ecological footprint, CO 2 and CH 4 emissions in whole and lower-income group of East-Asia and Pacific region. Moreover, pandemic uncertainty has a negative relationship with all indicators of environmental quality in higher-income economies. The study provides a unique opportunity to examine how pandemic uncertainty through anthropogenic activities affects environmental quality and serves as a significant resource for policymakers in planning and estimating the effectiveness of environmental quality measures. It is necessary to carry out sustainable environmental policies in East-Asia and Pacific region according to the vulnerabilities and resilience to global pandemic uncertainty., Competing Interests: Competing interestsThe authors declare no competing interests., (© The Author(s), under exclusive licence to Springer Nature B.V. 2022.)

The world faces a high alert of coronavirus disease 2019 (COVID-19), leading to a million deaths and could become infected to reach a billion numbers. A sizeable amount of scholarly work has been available on different aspects of social-economic and environmental factors. At the same time, many of these studies found the linear (direct) causation between the stated factors. In many cases, the direct relationship is not apparent. The world is unsure about the possible determining factors of the COVID-19 pandemic, which need to be known through conducting nonlinearity (indirect) relationships, which caused the pandemic crisis. The study examined the nonlinear relationship between COVID-19 cases and carbon damages, managing financial development, renewable energy consumption, and innovative capability in a cross section of 65 countries. The results show that inbound foreign direct investment first increases and later decreases because of the increasing coronavirus cases. Further, the rise and fall in the research and development expenditures and population density exhibits increasing coronavirus cases across countries. The continued economic growth initial decreases later increase by adopting standardized operating procedures to contain coronavirus disease. The inter-temporal relationship shows that green energy source and carbon damages would likely influence the coronavirus cases with a variance of 17.127% and 5.440%, respectively, over a time horizon. The policymakers should be carefully designing sustainable healthcare policies, as the cost of carbon emissions leads to severe healthcare issues, which are likely to get exposed to contagious diseases, including COVID-19. The sustainable policy instruments, including renewable fuels in industrial production, advancement in cleaner production technologies, the imposition of carbon taxes on dirty production, and environmental certifications, are a few possible remedies that achieve healthcare sustainability agenda globally., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

To boost the stability of economic and financial aspects along with the apprehensions for sustainability, it is important to promote the development of clean energy stocks around the globe. In the current research, the researchers have examined the impact of oil prices, coal prices, natural gas prices, and gold prices on clean energy stock using the autoregressive distribution lag (ARDL) approach from the year 2011 to the year 2020. The result of daily data analysis specifies that in the long as well as in the short run, gold prices, oil prices, and coal prices have a positive and significant effect on clean energy stock. On the other side, natural gas prices in the long as well as in the short run have a negative and significant effect on clean energy stock. So, the empirical analysis of our study is of interest to investors at an institutional level who aim at detecting the risk associated with the clean energy market through proper financial modeling. Besides, this study opens up a new domain to sustain financial as well as economic prospects by protecting the environment through clean energy stock as the investment in clean energy stocks results in producing a substantial effect on the economy and the environment as well., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The United Nations sustainable development goals (SDGs) proposed 17 effective plans linked with three principal aims, i.e., eradicating poverty, conserving the natural environment, and ensuring prosperity for all. Travel and tourism are the leading stream sector through which all the three stated United Nations themes could be achieved efficiently. The future project of Saudi Arabia's vision is also in line with the United Nation SDGs that much emphasized on tourism expansion, innovation, and sustainable development, which directly supports the SDG-8 (i.e., decent work and economic growth), SDG-9 (i.e., industries, innovation, and infrastructure), SDG-12 (i.e., responsible consumption and production), and SDG-13 (i.e., climate change). The study's objective is to evaluate the country's e-tourism initiatives and green development agenda in the long-run by using the quarterly data from 1995Q1 to 2018Q4. The study employed the autoregressive distributed lag (ARDL) model for estimating the short- and long-run relationship between the variables. Further, the study developed an "e-tourism index" that combines ICT's share in tourism income and expenditures items by principle component matrix (PCM). The results show that oil rents, ores and metal exports, and railways goods transportation depleted natural resources, while ICT's share in energy demand, inbound tourism, and trade openness conserve natural resources via the adoption of advanced technologies, eco-tourism knowledge, and green technology imports in a country. The results confirmed the U-shaped relationship between the country's per capita income and natural resource depletion in a given period. The positive relationship (negative impact) of air transportation freight and trade openness with carbon emissions is evident in the short-run; however, the result is insignificantly determined in the long-run. The industry value-added and ICT's share in energy demand substantially delimit carbon emissions through cleaner production techniques and green innovation. The U-shaped relationship in the short- and flat relationship in the long-run is found for carbon-growth nexus. In the long-run, inbound tourism has a positive (negative impact) relationship with carbon emissions that need sustainable tourism policies to delimit carbon emissions. The air-railways passengers carried and trade openness is the main antecedents that influenced fossil fuel energy consumption in the short- and long-run, while in the long-run, tourism income, ICT's share in energy demand, and industry value-added delimit fossil fuel combustion. The study confirmed the inverted U-shaped relationship between carbon emissions and per capita income in a country. The e-tourism index positively influences the country's economic growth, mobile share in the energy demand, industry value-added, and railways goods transportation. In the long-run, the mobile share in energy demand and railways goods transported increase while air transport freight decreases economic growth. Finally, the e-tourism index is positively influenced by industrial value-added and ICT's share in fossil fuel energy demand. Simultaneously, air transportation passengers carried and ICT's share in carbon emissions negatively affected the e-tourism index in a country. The study concludes that Saudi Arabia's vision 2030 of e-tourism and green sustainable development could be achieved by promoting green ICTs, cleaner production technologies, sustainable consumption and production, tight environmental regulations, and green travel and tourism infrastructure, which ultimately will support the Saudi's vision realization programs towards the country's prosperity., (© 2020. Springer-Verlag GmbH Germany, part of Springer Nature.)

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread to more than 200 countries with a current case fatality ratio (CFR) of more than 2% globally. The concentration of air pollutants is considered a critical factor responsible for transmitting coronavirus disease among the masses. The photochemical process and coal combustions create respiratory disorders that lead to coronavirus disease. Based on the crucial fact, the study evaluated the impact of nitrous oxide (N 2 O) emissions, coal combustion, and traffic emissions on COVID-19 cases in a panel of 39 most affected countries of the world. These three air pollution factors are considered to form a lethal smog that negatively affects the patient's respiratory system, leading to increased susceptibility to coronavirus worldwide. The study used the Markov two-step switching regime regression model for obtaining parameter estimates. In contrast, an innovation accounting matrix is used to assess smog factors' intensity on possibly increasing coronavirus cases over time. The results show that N 2 O emissions, coal combustion, and traffic emissions increase COVID-19 cases in regime-1. On the other hand, N2O emissions significantly increase coronavirus cases in regime-2. The innovation accounting matrix shows that N2O emissions would likely have a more significant share of increasing coronavirus cases with a variance of 33.902%, followed by coal combustion (i.e., 6.643%) and traffic emissions (i.e., 2.008%) over the time horizon. The study concludes that air quality levels should be maintained through stringent environmental policies, such as carbon pricing, sustainable urban planning, green technology advancement, renewable fuels, and pollution less accessible vehicles. All these measures would likely decrease coronavirus cases worldwide., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

We assessed the influence of wealth and selected socio-demographic characteristics on antenatal care (ANC) utilization among 900 women within the reproductive ages across eight rural communities in Delta State, Southern part of Nigeria. Both descriptive and predictive analyses were undertaken. The characteristics of the women were presented with the use of simple proportion and frequency. The Chi-square test was used to examine the factors that were significantly associated with a minimum of eight antenatal care contacts. Multivariate logistic regression was used to examine factors that explained a minimum of eight antenatal contacts. Women on the highest wealth quintile were 2.6 times more likely to meet the recommended number of 8 ANC visits (aOR: 2.6, 95% CI: 0.63-3.86). This finding has an implication for the free maternal care policy currently in operation in Delta State. It implies that the policy has not succeeded in redressing problems of financial barriers in access to maternal care. The lesson, therefore, is that the policy of free maternal care is not enough, but if the government desires to maximize the dividend from the policy, then it must go beyond absolving pregnant women of ANC charges to provide other form of supports.

The novel coronavirus disease-2019 (COVID-19) is a deadly disease that increases global healthcare sufferings. Further, it affects the financial and natural resource market simultaneously, as both are considered complementary goods. The volatility in the oil prices deteriorates the global financial market to substantiate the "financial resource (oil) curse" hypothesis primarily filled with earlier studies. In contrast, this study moved forward and extended the given relationship during the COVID-19 pandemic in a panel of 81 different countries. The study's main objective is to examine the volatility in the domestic credit provided to the private sector due to oil shocks and the COVID-19 pandemic across countries. The study is essential to assess the healthcare vulnerability in the COVID-19 pandemic, leading to the damage of financial stability, causing deterioration in the oil rents to affect the global sustainability agenda. The study employed statistical techniques to get sound inferences of the parameter estimates, including robust least squares regression, seemingly unrelated regression, and innovation accounting matrix to get a variable estimate at the level and inter-temporal framework. The results confirmed the U-shaped relationship between oil rents and financial development during the COVID-19 pandemic. Thus, it verifies the "financial resource (oil) curse" hypothesis at the initial stage of the COVID-19 pandemic. Later down, it supports the capital market when economies are resuming their economic activities and maintaining the SOPs to restrain coronavirus at a global scale. The qualitative assessment confirmed the negative effect of financial development and oil shocks on environmental quality during the pandemic crisis. The innovation accounting matrix shows that the COVID-19 pandemic will primarily be the main factor that intervenes in the relationship between oil rents and financial development, which proceed towards the "resource curse" hypothesis during the following years' time period. Therefore, the need for long-term economic policies is highly desirable to support the financial and resource market under the suggested guidelines of restraining coronavirus worldwide., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The adverse effects of the coronavirus 2019 (COVID-19) pandemic are widely visible in the economic structure, while the principal causal factor is the disruption of the supply chain process that leads to the economies into a global depression. The purpose of the study is to identify the critical factors that affect the global sustainable supply chain process in the cross-sectional panel of 38 European countries, 14 North American countries, 40 Asian countries, and a heterogeneous panel of 111 countries. The results show that an increase in susceptible coronavirus cases and death tolls limits the supply chain process because of nationwide closures of industries and business activities. In contrast, an increase in the number of recovered cases supports economic activities and improved logistic performance index across countries. The innovation accounting matrix shows that since August 2020, the global coronavirus cases will decline and start resuming economic activities to increase the supply chain process. The result is further supported by the estimates of reduction in the proportion of death to recovered cases (case fatality ratio 1) to increase sustainable logistics activities. However, the supply chain process could affect an increasing death toll and case fatality ratio 2 (i.e., the proportion of death to registered cases) over time. The global economies should ensure a free flow of sustainable logistics supply, especially the supply of healthcare medical equipment that would help control the coronavirus pandemic, which escapes from the nations from a global depression., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The novel coronavirus 2019 (COVID-19) emerges from the Chinese city Wuhan and its spread to the rest of the world, primarily affected economies and their businesses, leading to a global depression. The explanatory and cross-sectional regression approach assesses the impact of COVID-19 cases on healthcare expenditures, logistics performance index, carbon damages, and corporate social responsibility in a panel of 77 countries. The results show that COVID-19 cases substantially increase healthcare expenditures and decrease corporate social responsibility. On the other hand, an increase in the coronavirus testing capacity brings positive change in reducing healthcare expenditures, increased logistics activities, and corporate social responsibility. The cost of carbon emissions increases when corporate activities begin to resume. The economic affluence supports logistics activities and improves healthcare infrastructure. It linked to international cooperation and their assistance to supply healthcare logistics traded equipment through mutual trade agreements. The greater need to enhance global trade and healthcare logistics supply helps minimize the sensitive coronavirus cases that are likely to provide a safe and healthy environment for living., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

On the economic side, China has attained rapid development; yet, the ecological aspects pose threats to its sustainable development. The nexus between economic growth, natural resources, human capital, and financial development has an important inference for the environment, and therefore, this endeavor examines the influence of said variables on the ecological footprint in China via adopting the novel dynamic simulated ARDL approach by utilizing the data from 1985 to 2018. The outcomes of the analysis confirm that natural resources and financial development have a considerable positive short- and long-run relation with the ecological footprint. Besides, this depicts that natural resources and financial development lead to an upsurge in ecological footprint in China. Furthermore, human capital also upsurges the negative influence on the environment. Economic growth also upsurges the ecological footprint; however, the outcomes also yielded an interesting insight lending credence to the existence of the environmental Kuznets curve in China. So, it is important to offer awareness sessions to the community as well as to human resources working in different sectors regarding the significance of sustainability by giving training related to the reduction of the excessive consumption of scarce resources. Moreover, a watchful deliberation must be given while implementing strategies about sustainability concerning the specified factors and their potential impact on ecological footprints so that the targets of Sustainable Development Goals 7, 8, and 13 could be accomplished by the Chinese economy., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

This study analyzes the relationship between globalization, energy consumption, and economic growth among selected South Asian countries to promote the green economy and environment. This study also finds causal association between energy growth and nexus of CO 2 emissions and employed the premises of the EKC framework. The study used annual time series analysis, starting from 1985 to 2019. The data set has been collected from the World Development Indicator (WDI). The result of a fully modified ordinary least square (FMOLS) method describes a significantly worse quality environment in the South Asian region. The individual country as Bangladesh shows a positively significant impact on the CO 2 emissions and destroys the level of environment regarding non-renewable energy and globalization index. However, negative and positive growth levels (GDP) and square of GDP confirm the EKC hypothesis in this region. This study has identified the causality between GDP growth and carbon emission and found bidirectional causality between economic growth and energy use., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Without enhancing the quality of the environment, the goals of sustainable development remain unachievable. In order to minimize the damage to the planet, sustainable practices need to be considered. This study is conducted to identify some of the drivers behind the increasing sustainability issues and tried to investigate the impact of natural resources, financial development, and economic growth on the ecological footprint in Malaysia from the year 1980-2019 by utilizing the dynamic simulated autoregressive distribution lag approach. It was identified that financial development, economic growth, and natural resources are the determinants behind the upsurge of the ecological footprint as all three show a positive and significant effect on ecological footprint. However, in the long run, the presence of the Environmental Kuznets Curve hypothesis was also validated in Malaysia. Therefore, it is recommended to increase awareness among the public regarding the adoption of sustainable practices in everyday life and to use green technologies that offer maximum efficiency and minimum damage to the environment in commercial and domestic activities. Finally, based on the research results, a comprehensive policy framework was proposed which could allow the Malaysian economy to attain the objectives of Sustainable Development Goals (SDGs) 7, 8, and 13., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The study's objective is to evaluate the impact of environmental sustainability rating, financial development, changes in the price level and carbon damages on the new COVID-19 cases in a cross-sectional panel of 17 countries. The study developed two broad models to analyse the relationship between the stated factors at the current level and forecast level. The results show that improvement in the environmental sustainability rating and financial efficiency reduces the COVID-19 cases, while continued economic growth and changes in price level likely to exacerbate the COVID-19 cases across countries. The forecast results suggest the U-shaped relationship between COVID-19 cases and carbon damages controlling financial development, price level and environmental sustainability rating. The variance decomposition analysis shows that carbon damages, environmental sustainability rating and price level changes will largely influence COVID-19 cases over the next year. The soundness of economic and ecological regulated policies would be helpful to contain coronavirus cases globally., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

High levels of CO 2 emissions are extensively cited as one of the main global concerns nowadays. Therefore, researchers have been investigating the factors that affect CO 2 emissions. In the prior literature, several social, economic, and political drivers of CO 2 emissions have been investigated; however, there is a dearth of the literature on the impact of geopolitical risks (GPR) on CO 2 emissions. Hence, the objective of this study is to explore the impact of GPR on CO 2 emissions in the case of the BRICS countries while controlling the effects of population, GDP, non-renewable energy, and renewable energy consumption. The study uses the recently developed GPR index, proposed by Caldara and Iacoviello (2018), and the AMG (augmented mean group) estimator method. The findings document that GPR escalates CO 2 emissions. That is, a 1% increase in GPR escalates CO 2 emissions by 13%. Moreover, it also reports that renewable energy consumption impedes CO 2 emissions. In contrast, GDP, population, and non-renewable energy consumption surge CO 2 emissions. The study also proposes a few policy implications based on the findings: (1) policymakers and government officials should try to limit GPR through peace treaties, agreements, and negotiations; (2) share of renewable energy in total energy consumption should be increased in order to plunge CO 2 emissions., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Considering that the rigor of economic activities has widely been linked with the turbulent nature of the increasing global atmospheric and environmental hazards thus hampering environmental sustainability, it then presented a suggestive dilemma realizing that increasing unemployment, i.e., de-economizing human activities posit a desirable environmental quality effect. Given this backdrop, and employing the more recent estimation techniques, the current study probes the validity of the novel environmental Phillips curve (i.e., negative relationship between unemployment and environmental degradation) opined by Kashem and Rahman (Environ Sci Pollut Res 1-18, 2020). In this case, the panel of BRICST (Brazil, Russia, India, China, South Africa, and Turkey) economies for the selected data set over the experimental period 1992-2016 is analyzed. After using related approaches that are designed to account for probable country-specific factors, i.e., the cross-sectional dependence concern, the findings from the PMG-ARDL model affirmed the validity of the environmental Phillips curve for the BRICST countries. Thus, there is a significant trade-off between unemployment and environmental degradation. Moreover, this study concludes that renewable energy consumption improves the environmental quality, while conventional energy sources remained detrimental factors to environmental quality in the panel of the examined countries. Therefore, the study identified that the share of renewable energy in the energy mix should be escalated to improve environmental quality and maintain or improve the employment level, thus advancing the sustainable development goals (SDGs) of the BRICST countries., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

The Paris agreement (COP21) emphasized the need to progress toward using low-carbon energy technologies, including nuclear power, that is favorably looked for to meet the challenges to reduce an enormous increase in global temperature to below 2 °C. The cost of carbon pollution is highly induced by the energy sector that damages the global environmental sustainability plan. The alternative and nuclear energy demand is an optimized solution to decrease carbon damages, which can be better work under the imposition of carbon taxes on polluting industries. This study works in a given direction to analyze the role of alternative and nuclear energy, carbon pricing, FDI inflows, fossil fuel combustion, economic growth, and population density on the cost of carbon pollution in a panel of 90 selected countries for a period of 1995-2018. The results confirmed a "nuclear energy-augmented environmental Kuznets curve" with a turning point of 39.974% of total energy demand across countries. The result implies that alternative and nuclear energy initially increases carbon damages. Simultaneously, it decreases at the later stages of atomic energy expansion; thus, nuclear power growth is imperative for long-term sustainable development. A positive relationship is found between carbon pricing and carbon damage, while a negative relationship is between fossil fuel combustion and carbon damage across countries. The results conclude that expansion in nuclear energy would help reduce the cost of carbon pollution to achieve environmental sustainability agenda across countries., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature.)

Over the last few decades, economic policy uncertainty (EPU) has surged across the globe. Furthermore, EPU affects economic activities, which may also generate strong CO 2 emissions. The goal of this study is to explore the impact of EPU (measured by the world uncertainty index) on CO 2 emissions in the case of the top ten carbon emitter countries, spanning the period 1990 to 2015. The findings from the PMG-ARDL modelling approach document that the world uncertainty index (WUI) affects CO 2 emissions in both the short and the long run. In the short run, a 1% increase in WUI mitigates CO 2 emissions by 0.11%, while a 1% rise in WUI escalates CO 2 emissions by 0.12% in the long run. The findings could have some substantial practical effects on economic policies through which policy makers try to shrink any uncertainty by organizing and participating in international summits and treaties. In addition, international organizations could also launch certain programs to shrink uncertainties associated with economic policy. Finally, these countries should introduce innovation, renewable energy, and enforce alternative technologies that are environment friendly. Overall, governments must provide strong tax exemptions on the use of clean energy, while R&D budgets should also expand.

The novel coronavirus (COVID-19) is spreading exponentially, increasing fear, depression, and other mental health disorders in the general public. Pakistan's economy is suffered mainly by the novel coronavirus. The massive healthcare expenditures bring inadequacy to manage COVID-19. The study explored the effects of coronavirus fear among the students who remain in their homes due to educational institutions' closure. The study results show that female students mostly fear the coronavirus pandemic compared to their male counterparts that negatively impact their health. The "age" of the students and "household size" positively impact students' health, while the student's existing "healthcare profile" is not competitive enough to escape from the deadly coronavirus. The "knowledge" for the coronavirus pandemic and its prevention guidelines is the only solution to contain coronavirus. Simultaneously, "ignorance" is the foremost factor that could be more dangerous to spread coronavirus among the students; besides the COVID-19 pandemic, students and general public health mainly suffered from environmental pollution. The current epidemic also exacerbated environmental concerns among students isolated in their homes, and their outdoor activities are primarily limited. Hence, the student's quality of life is exposed mainly to environmental pollution over time. The "healthcare expenditures" and "government support" both are not competitive enough to control novel coronavirus. Thus, it required more sustainable strategic policies and national unity to controlled coronavirus with firm conviction and provincial synchronization.

The objective of the study is to analyze the dynamic linkages between technology factors and carbon emission in a panel of 26 selected European countries from 2000 to 2017. The results of the panel fixed-effect regression model show the monotonic increasing function between agriculture technology and carbon emissions. In contrast, panel quantile regression confirmed the inverted U-shaped 'Agriculture Technology Kuznets curve (ATKC)' of carbon emissions at 30th quantile distribution to 80th quantile distribution with the turning points of 12,60,000 tractors to 9,68,000 tractors, respectively. The results further exhibit the negative relationship between high-technology exports and carbon emissions, as high-technology exports have a positive impact on environmental quality in order to reduce carbon emissions across countries. The relationship between ICT goods exports and carbon emissions is complimentary, while R&D expenditures have a negative relationship with carbon emissions in a given period. The study substantiates the 'pollution haven hypothesis (PHH)' that is controlled by trade liberalization policies. The telephone and mobile penetrations have a differential impact on carbon emissions in both of the prescribed statistical techniques, which needs fair economic policies in order to delimit carbon emissions through green ICT infrastructure. The results further exhibit the 'material footprint' that is visible at the earlier stages of economic development while it is substantially decreasing at the later stages to verify 'environmental Kuznets curve (EKC)' hypothesis with a turning point of US$45,700. Finally, the study shows the positive relationship between industry value-added and carbon emissions that sabotaged the process of green development across countries. The study concludes that green ICT infrastructure is imperative for sustainable production and consumption, and climate change protection with cleaner production techniques and environmental regulations that reshape the international policies towards sustained growth.

The outbreak of the SARS-CoV-2 virus in early 2020, known as COVID-19, spread to more than 200 countries and negatively affected the global economic output. Financial activities were primarily depressed, and investors were reluctant to start new financial investments while ongoing projects further declined due to the global lockdown to curb the disease. This study analyzes the money supply reaction to the COVID-19 pandemic using a cross-sectional panel of 115 countries. The study used robust least square regression and innovation accounting techniques to get sound parameter estimates. The results show that COVID-19 infected cases are the main contributing factor that obstructs financial activities and decrease money supply. In contrast, an increasing number of recovered cases and COVID-19 testing capabilities gave investors confidence to increase stock trade across countries. The overall forecast trend shows that COVID-19 infected cases and recovered cases followed the U-shaped trend, while COVID-19 critical cases and reported deaths showed a decreasing trend. Finally, the money supply and testing capacity show a positive trend over a period. The study concludes that financial development can be expanded by increasing the testing capacity and functional labs to identify suspected coronavirus cases globally., Competing Interests: Competing interestsThe authors declare that they have no competing interests., (© The Author(s) 2021.)

It is an overwhelming concern that increases in global average temperature lead to serious consequences on the natural environment in the form of deteriorating water resource quality and damaging healthcare sustainability agenda. The sustainable innovation forum (COP21) shows a high concern on climate changes and suggested to reduce global average temperature less than 2 °C. The study brings an idea from the stated theme and analyzed the relationship between climate change and water resource quality in order to redesign economic and environmental policies to improve water quality and healthcare sustainability in the context of Pakistan. The country has serious issues regarding the provision of safe drinking water, improved water resource quality, and healthcare sustainability, which can be achieved by sustainable policies to handle the extreme temperature in Pakistan. The study employed simultaneous generalized method of moments (GMM) technique in order to estimate parameters of the study during the period of 1980-2016. The results show that energy demand and industry value added substantially decrease water resource quality (WRQ), while agriculture value added and per capita income significantly increase WRQ in a country. The other regression apparatus, where health expenditures serve as the response variable, shows that average temperature, industry value added, population growth, and foreign direct investment (FDI) inflows significantly increase healthcare expenditures while WRQ has a negative impact on healthcare expenditures in a country. The final regression model shows that average temperature and per capita income decrease, while WRQ and industrial value added increase mortality rate in a country. The overall results confirm that WRQ affected by climate change, energy demand, and population growth that need sustainable water resource policies in order to achieve long-term sustained growth. The climate actions required more policy instruments to combat environmental challenges that should support healthcare sustainability agenda across the globe.

This study investigates the effect of energy utilization, greenhouses gasses emissions, and economic activities on health risks such as mortality rate and incidence of respiratory diseases in emerging Asian economies. The study analyzes a panel data from 1995 to 2018 to examine the long-run and short-run influence of environmental pollution on health issues. The empirical findings highlight that greenhouse gasses emissions, fossil fuel consumption, and natural resources depletion in the region are key factors to increasing health risks in the long-run period, while the use of clean energy and improvement in per capita economic growth is helping to improve the health status of the households. In a short period, greenhouse gasses emission is the only significant factor responsible for the high mortality rate and occurrence of respiratory diseases in the emerging economies of Asia. According to the results, there is a need for government intervention programs to rescue the region from the negative effects of environmental pollution and the utilization of nonrenewable energy. In emerging Asian countries, the combustion of fossil fuels, environmental pollution, and limited access to clean energy are such factors responsible for high mortality rate and stimulating incidence of respiratory diseases in the individuals. The study suggests that alternative green energy can prove helpful to control greenhouse gasses emissions and to control health issues by improving environmental quality. The study further suggests that the use of clean energy from water, wind, and sunlight may prove helpful to meet the energy requirement at the domestic level and improve the health status of the individuals by reducing the incidence of respiratory diseases in emerging countries of Asia.

The study critically reviewed Pakistan's provincial updates of coronavirus disease 2019 (COVID-19) and discussed the current challenges faced by the government in a given context. The coronavirus-associated death tolls have been increasing rapidly in a country. The provincial status of confirmed cases of coronavirus is higher in Punjab, followed by the Sindh, Khyber Pakhtunkhwa (KPK), and Balochistan. The case fatality ratio shows that KPK has a higher ratio, i.e., 5.11%, followed by the Punjab, i.e., 1.82%; Sindh, i.e., 1.80%; Balochistan, i.e., 1.28%; Gilgit-Baltistan, i.e., 0.71%; and Federal territory, i.e., 0.66%. The country has a less testing capacity to identify more suspected coronavirus patients. The study calculated that if we increase five times our testing capacity from the current date, the total registered cases will be reached to 137,370 and death tolls will increase up to 3090. It is highly needed to increase testing capacity across Pakistan in order to minimize the outbreak of coronavirus. The provincial government should follow the Federal Government instructions to contain coronavirus by increasing testing capacities, tracing suspected patients, smart lockdowns, emergency relief to the poor, and vigilant monitoring system.

Solar energy systems are a cheaper and easy solution to cope with severe energy crisis especially in emerging economies including Turkey which exerted huge efforts to enhance the existing solar power projects. However, the selection of the optimal site for the installation of solar projects needs vigorous investigation through various factors. Adequate quantitative scientific research is required for the process of site selection in Turkey. This paper categorizes various sites in Turkey through various factors such as economic, environmental, and social factors. Various major criteria have been combined through mathematical development to install the solar power project in remote areas of Turkey. The scientific evaluation of remote and rural solar projects in Turkey has been taken as a case study in the current paper. Additionally, the analytical hierarchy process (AHP) and F-VIKOR methods were used to aggregate the criteria. The results show that economic and social ratio is significant, whereas the transmission matrix, land cost, and the sun irradiance got a major score in order to generate electricity. The study results show that total sunshine time per year determined is 2741 h (a total of 7.5 h per day) and the total solar energy obtained each year is 1527 kWh per square meter per year (a total of 4.18 kWh per square meter per day).

Environmental problems, including extreme weather phenomena, unprecedented global warming, and environmental disasters caused by increasing levels of CO 2 and other toxic emissions, along with rapidly increasing economic development and energy consumption, require global development and policies to meet sustainable development goals. The traditional data envelopment analysis (DEA) model has limited practical applicability for measuring environmental performance, as it lacks the computational capacity to deal with undesirable outputs. The current study employs "radial" and "non-radial" DEA technology, and acknowledges the associations of a mathematical foundation to increase the analytical capability of the environmental performance of DEA. Results show that in the measurement of environmental performance analysis, the non-radial DEA model has a higher discriminating power compared to radial DEA. Results show that the average values of radial and non-radial environmental performance are highest for Latin America and the Caribbean, at 0.99 and 0.96, respectively, while the former USSR has the lowest values of 0.22 and 0.32, respectively. The South Asian region shows relatively stable values of about 0.58 to 0.65, and Latin America & Caribbean countries and sub-Saharan Africa also show a stable radial environmental performance ranging from 0.82 to 1.00. These results indicate a considerable difference among the eight world regions.

Optimal stockpiling is the best possible strategy to overcome the problem of peak oil periods of oil producer economies. We measured the properties of strategic petroleum oil reserve and general equilibrium and its peak oil effects. Measured the optimized scales of SPR through using oil price model, global oil market, and depletion effects of oil production classification. The peak oil period occurs from the interection between the geological era, proficiency in a practical skill, economy of consumers, and geopolitics, and the quality of deciding of demand and supply in which we have done a general dynamic balance model. Results reveal that peak oil time periods may lead towards diverse oil prices time profiles, economic development, and commodity flows. Interestingly, the macroeconomic effects of peak oil and the trajectories in objective function of two options maximize the households' welfare and oil revenues and its effect on growth trajectories of oil-consuming countries. If an oil supply disruption happens, the rate of oil acquisition will be considerably decreased, though it may not be a good strategy to interrupt the activities of oil reserve with the aim of minimizing the overall costs.

The study aims to examine the effects of coronavirus disease-2019 (COVID-19) measures on global environment and fertility rate by using the data of 1980 to 2019. The results show that communicable diseases including COVID-19 measures decrease carbon emissions and increase the chances of fertility rates in an account of city-wide lockdown. The knowledge spillover substantially decreases carbon emissions, while high energy demand increases carbon emissions. Poverty incidence increases fertility rate in the short-run; however, in the long-run, the result only supported with vulnerable employment and food prices that lead to increase fertility rates worldwide. The study concludes that besides some high negative externalities associated with COVID-19 pandemic in the form of increasing death tolls and rising healthcare costs, the global world should have to know how to direct high mass carbon emissions and population growth through acceptance of preventive measures, which would be helpful to contain coronavirus pandemic at a global scale., (© Springer Nature B.V. 2020.)

The study examined the long-run and causal relationship between international tourism receipts (ITR), social distribution, FDI inflows, and carbon (CO2) emissions to verify the different alternative and plausible hypotheses, i.e., environmental Kuznets curve (EKC) hypothesis, "pollution haven" hypothesis (PHH), and "resource efficiency" (REF) hypothesis, in a panel of Group of Seven (G-7) countries for the period of 1995-2015. The study employed panel random effect (RE) regression and panel causality test for robust inferences. The results show that ITR and FDI inflows increase CO2 emissions to verify PHH while government education expenditures (GEE) decrease CO2 emissions to substantiate the REF hypothesis across countries. The results validate the inverted U-shaped EKC relationship between CO2 emissions and economic growth (EG) with the turning point of US$30,900. In addition, GEE increase ITR while healthcare expenditures (HEXP) decrease ITR, which partially supported the REF hypothesis in a panel of countries. The impact of income inequality (INEQ) on ITR is positive at current time period while at later stages INEQ declines ITR that supported an inverted U-shaped relationship between them. The causality estimates confirm the bidirectional relationship between ITR and EG, while there is unidirectional casualty running from (i) ITR, EG, FDI inflows, and GEE to CO2 emissions, (ii) FDI inflows to ITR, (iii) GEE to EG, (iv) EG to social expenditures, (v) income inequality to health expenditures, (vi) social expenditures (SEXP) to ITR, and (vii) INEQ to ITR. There is no causal relationship found between ITR and EG during the study time period. The findings endorse the need for efficient resource spending, sustainable tourism (STR), and rational income distribution to improve environmental sustainability agenda in a panel of G-7 countries.