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Tourism is one of the important factors that can affect the environmental and economic situation of any economy. This study investigates the relationship between tourist arrivals and CO2 emission in the top 20 tourist destinations using data from quarterly observations from 1995 to 2018. A unique technique via quantile-on-quantile regression and Granger causality in quantiles was used. In particular, how the quantiles of tourist arrivals impact quantiles of CO2 emission was analyzed. The empirical results suggest a combination of both positive and negative effects of tourist arrivals and CO2 emission in most tourist destinations. Predominantly, at both high and low tails, in the USA, Spain, Hong Kong, and Austria, tourist arrival has a positive effect on CO2 emission, whereas in the case of Canada, France, Germany, Mexico, and Malaysia, the association was negative. On the other hand, China, Greece, Russia, Japan, Italy, South Korea, Thailand, and Turkey have both positive and negative effects of tourism on CO2 emissions at low and high tails. Tourism can be an important factor while formulating policy for environmental and climate aspects. [ABSTRACT FROM AUTHOR]

An era of rapid changes in the technological and economic aspects of developing and developed countries can have detrimental extortions on the environment around the world. From the perspective of globalization, the rapid development and growth can reroute to enhance the interaction between people, organizations, and countries across the globe including China through the usage of information and communication technology which in turn contributes to the economic growth of one side, whereas on the other side, it affects the environmental quality. Referring to this aspect, this study is focused to inspect the link between information and communication technology, and globalization with the facets of degradation in the environment that as CO2 emission and ecological footprint by keeping the view of economic growth prospects as well via using the EKC hypothesis. In our study, time-series data was employed from 1987 to 2020 for China using the Dynamic ARDL approach. Grounded on the findings of the study, economic growth from the sight of GDP fallouts in rising the emission of CO2 and EFP in the short and long run whereas GDP sqr cause decrease in the CO2 emission and EFP. Thus, this authorizes the presence of inverted U-shaped existence among GDP sqr, CO2 emission, and EFP. Therefore, this provides provision for the EKC hypothesis in China. Furthermore, ICT and globalization cause a decline in the emission of CO2 and EFP in the short and long run respectively. In combatting challenges linked to the environment, globalization, as well as ICT, is seen as a crucial factor based on the pieces of evidence in our study while the policy implications are also proposed in the paper. [ABSTRACT FROM AUTHOR]

This fresh examination was a thought-provoking area that was required to be undertaken and to fill this gap, the researchers have examined the impact of Covid-19 and health expenditure on the global supply chain by utilizing balanced panel data for the period from January 2020 to June 2020. This study utilized a random effect, fixed effect, GMM, and FGLS approach. The outcomes of COVID-19 demonstrate a significant negative influence as per the FGLS model, whereas the health expenditure demonstrates a significant negative effect on the global supply chain under both the dynamic models i.e. GMM and FGLS. As far as manufacturing value-added is concerned it indicates a positive and significant influence on the global supply chain according to the FGLS model whereas, last but not least the logistics performance index has a significant positive effect on the global supply chain according to the results of GMM and FGLS models respectively. The global supply chain is the lifeline for the global economy; thus, it is suggested that under COVID-19 pandemic situation policymakers need to react quickly and take suitable policy actions to deal with this unprecedented pandemic driven economic crises and further the cross-border trading activities should not be stopped, rather governments should formulate smart lockdown strategies. [ABSTRACT FROM AUTHOR]

For the last couple of decades, consumer awareness and strict environmental policies create pressure on the corporate sector to adopt sustainable practices, reducing the harmful effect on environmental sustainability. This study aims to assess the procedures and significance of green practices in food supply chains. The study used internal environmental management (IEM), the greens information system (GIS), green manufacturing (GM), green design and packaging (GDP), and transportation (GT) as explanatory variables, while the data is gathered from 267 food processing firms located in China and Pakistan to test hypotheses through PLS-SEM modeling. The findings revealed that internal environmental management and green information systems are positively and strongly associated with adopting green supply chain practices. The results also show that green practices in the food supply chain have a significant role in increasing organizational performance. In last, the study has drawn policy implications and framework for governmental bodies, practicing managers, nutritional experts, and consumer rights activists. These policy implications will further promote green practices in the food processing industry to achieve 3Ps (people, profit, and the planet). [ABSTRACT FROM AUTHOR]

This document is a retraction note for an article titled "The step towards environmental mitigation in Pakistan: do transportation services, urbanization, and financial development matter?" published in Environmental Science & Pollution Research. The publisher has retracted the article due to concerns identified during an investigation, including compromised peer review process, inappropriate references, nonstandard phrases, and being out of scope for the journal. The authors Salman Sarwat, Arshian Sharif, Danish Iqbal Godil, and Muhammad Sajjad Ashraf disagree with the retraction, while the authors Kittisak Jermsittiparsert, Paiman Ahmad, and Syed Hassan have not responded to correspondence regarding the retraction. Springer Nature, the publisher, remains neutral regarding jurisdictional claims and institutional affiliations. [Extracted from the article]

This paper aims to examine the role of blockchain technology for the circular economy to enhance organisational performance in the context of China–Pakistan-Economic-Corridor (CPEC). A close-ended questionnaire-based survey of manufacturing firms was administered to collect cross-sectional data from 290 respondents, which has been analysed through structural equation modelling. The circular economy approach in supply chain management offers environmental as well as economic benefits to the organisations. With the beginning of the Industry 4.0 era, there is an emphasis on technology in every field. A relatively recent phenomenon of blockchain technology promises lots of potential improvement in business operations. According to our results, with features such as visibility, transparency, relationship management, and smart contracting, blockchain technology was found to play a positive role in the circular economy. Furthermore, green practices were found to have a positive nexus with environmental and economic pathways to the firms' performance, whereas environmental performance was also found to have a positive nexus with the economic health of the firm. Last but not the least, both environmental and economic performances were found to be the cause of a boost in organisational performance. [ABSTRACT FROM AUTHOR]

This paper aims to validate the EKC hypothesis for BRICS countries, in the presence of natural resources, renewable energy, and globalization factors. FMOLS, DOLS, Method of Moments Quantile Regression (MMQR), and heterogeneous panel causality tests have been applied on the BRICS panel from 1990 to 2014. According to FMOLS and DOLS techniques, the EKC hypothesis does exist in BRICS countries in the presence of alternative energy resources and globalization, whereas quantile level analysis does not support globalization as a significant factor for environmental degradation. Quantile regression validates the EKC hypothesis with a direct association of natural resources and inverse association of renewable energy with environmental degradation. Heterogeneous panel causality also confirms the bidirectional Granger causality between all the variables and CO2, except globalization, which means that panel causality is endorsing the results of MMQR. Thus, it is recommended to encourage the usage of renewable energy resources in BRICS countries. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study aims to empirically evaluate the effect of low carbonation, crime rate, and logistical infrastructure on tourism and economic development of the Association of Southeast Asian Nations (ASEAN) tourist countries through structural equation modeling for the sample period from 2011 to 2019. The proposed model presented six hypotheses among four constructs that suggest that logistic performance and renewable energy consumption positively affect tourism, whereas the crime rate harms tourism in ASEAN countries. As far as the economic growth of ASEAN countries is concerned, it is positively affected by logistic performance, renewable energy, and tourism. Thus, it can be concluded that better ecological conditions with less carbon emission through the use of renewable energy, efficient logistics services and infrastructure, and a peaceful environment with a low‐crime rate can boost the tourists' arrival, which in turn would be beneficial for the economy of ASEAN countries. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 (N2O) 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 N2O 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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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 CO2 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 CO2 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. [ABSTRACT FROM AUTHOR]

This endeavor explores the nexus between health expenditure, consumption of renewable energy, economic growth, and the quality of the environment in 10 central European nations from 2005 to 2018 utilizing the techniques of fully generalized least square (FGLS) and generalized method of moments (GMM) estimation. The outcomes reveal the significant association between health, economic, and environmental factors with green energy utilization. The utilization of fossil fuels negatively influences the quality of the environment and boosts the risk of several diseases associated with the undernourishment and respiratory system and thus increases the death ratio. Furthermore, the utilization of operations based on renewable energy usage exerts a substantial favorable influence upon residents of Central European (CE) nations and thus helps decrease health and pollution‐related expenses. So, there needs to be a collaboration among all the stakeholders so that green growth in the service and industrial sectors can be achieved. [ABSTRACT FROM AUTHOR]

This study is a scholarly effort to broaden the existing literature on the impact of transportation services, urbanization, and financial development on ecological footprints in Pakistan. Data used in this study covers the period of 39 years from 1980 to 2018. This study adopted the QARDL model to tackle the non-linear association of variables and test their long-run stability across the different quantiles. The findings of this study indicated a significant negative association of transportation services and financial development with ecological footprints in Pakistan at almost all quantiles whereas, the urban population was found to be positively associated with the ecological footprint in Pakistan. Results also justify the existence of the EKC hypothesis in the scenario of Pakistan. Policymakers are advised to frame strategies for investors to invest more in eco-friendly projects to curtail the ecological footprints in Pakistan. Minimizing the dependency of the transportation sector on fossil fuel, and increased use of energy-efficient appliances in the urban population would be beneficial to control the negative influence on ecological footprints in Pakistan. [ABSTRACT FROM AUTHOR]

With the growing interest among researchers in analyzing the ecological footprint of any country, this study focuses on new dimensions to analyze the long-run and short-run asymmetric impact of tourism, financial development, and globalization on ecological footprint in Turkey by using Quantile Autoregressive Distributed Lag model for the period from 1986 to 2018. Further, the EKC hypothesis was also tested. The results show that tourism, globalization, and financial development are positively and significantly associated with the EFP. This means that the increase in these variables will further increase the ecological footprint in Turkey. The U-shaped EKC curve was found to be valid in Turkey. The results also depict nonlinear and asymmetric association among most of the variables. Hence, based on the results, further research directions and practical implications can be suggested. [ABSTRACT FROM AUTHOR]

This study examines the association between transportation services (i.e., passenger and freight) and carbon emissions concerning the US economy. The monthly data for this study were collected for the period from 2000 M1 to 2019 M8. In this study, QARDL econometric approach as discussed by Cho et al. (2015) has been used to tests the relationship between transportation services and CO2 emissions. Due to the chaotic and nonlinear behavior of our concerning variables, it was quite difficult to gauge the principle properties of their variations. Therefore, we relied on QARDL, which has been missing in previous researches. By utilizing the QARDL method, this research assesses the long-term stability of the nexus across the quantiles to provide an econometric framework that is more flexible than the traditional ones. In particular, the authors have analyzed how the quantiles of transportation (i.e., passenger and freight) influence the quantiles of CO2 emissions (environmental degradation). The empirical evidence revealed the negative significant relationship of both the transportation system (i.e., passenger and freight) with carbon emissions; however, this relationship holds at low quantiles of freight transport, whereas the same relationship has been observed at the majority of quantiles of passenger transport. So, this depicts that the transportation system of the USA helps to reduce CO2 emissions. Therefore, to maintain this situation, the government shall introduce more technologies that are fuel-efficient and promote clean consumption, thus reducing CO2 emissions, boosting economic growth, and making green transportation services. [ABSTRACT FROM AUTHOR]

This novel research is an argumentative subject which was needed to be addressed and to fill this gap, the author examined the effect of financial development, information and communication technology, and institutional quality on CO2 emission in Pakistan by using quantile autoregressive distributed lag (QARDL) model. The data were obtained for the period from 1995Q1 to 2018Q4. In the long run, GDP and institutional quality have a positive impact on CO2 emission when this emission is already high, which shows that if the GDP and institutional quality increases, the CO2 emission also increases. Moreover, financial development and ICT has a negative impact on CO2 emission irrespective of emission level that whether it is high or low in the country, which shows that if financial enhancement and ICT increases, carbon emission decreases. The study also supported the EKC hypothesis in Pakistan. [ABSTRACT FROM AUTHOR]

Relevant studies have indicated that water consumption behavior varies with respect to different settings and inhabitants, making the resource subject to scarcity or availability problems. This study aims to identify essential paradigms for routing water preservation practices as the United Nations Sustainable Development Goals (SDG) suggest. Responses were gathered from Karachi (Pakistan) to enable contextualization of past knowledge with its socio-environmental structure. The objective is to gain insights into the mentioned framework to identify the collective behaviors acting within the social groups. A survey based approach was adopted for collecting data, with observed responses amounting to 339 individuals under the simple random sampling technique, followed by inferential modeling to identify the forces present in society with respect to water consumption motives. The results following PLS Structural Equation Modeling showed that the dimensions sharing identities with pricing, quality, vicinity elements, diverse actions and societal criticality all had roles in regulating consumption patterns, some with consumption motives, some without and some with vary degrees according to circumstance ambiguity. Concerned regulations are suggested to focus on motive induction in society for awareness based water conservation. This insight, through framework application, suggests water control implications to the local regulatory institutions, authorities, and managers. [ABSTRACT FROM AUTHOR]

The purpose of the research is to test the impact of Advanced Manufacturing Technology (ADMATECH) on Management accounting (MACCT) along with the impact of both of these variables i.e. ADMATECH and MACCT on company's performance (CPF). Further the mediating role of MACCT system between ADMATECH and CPF was also analyzed. Data from 263 manufacturing companies of Pakistan was collected through questionnaire that was taken from different researches. ADMATECH, MACCT and CPF were taken as exogenous, mediating and endogenous variables respectively. To analyze the contingency model of MACCT practices different test were applied that includes validity, reliability and regression. For all these analysis version 23 of SPSS was used. The outcomes showed that the usage of ADMATECH has no effect on CPF i.e. there is an insignificant influence of ADMATECH on CPF. Further results showed that ADMATECH has an effect on the usage of MACCT system i.e. ADMATECH has a significant influence on MACCT system. So it can be said that implementation of ADMATECH stresses on greater usage of MACCT system. Results have also indicated a significant influence of MACCT practices on CPF. This means MACCT system help corporations to compete in competitive environment which ultimately improves CPF. Finally it was also found that the link between AMATECH and CPF was indirect via MACCT i.e. MACCT is a full mediator between ADMATECH and CPF. According to researcher's knowledge about Pakistan, the relationship between these three factors have not been explored in Pakistan. So the researcher has tried to find out the relation between these three variables i.e. ADMATECH, MACCT and CPF. The outcomes of this research will assist managers of these companies in determining whether the usage of ADMATECH is beneficial to increase CPF, with the mediating role of MACCT system. Further this study could assist top management of manufacturing businesses towards technical alliance with ADMATECH manufacturers for designing and developing of products. [ABSTRACT FROM AUTHOR]

This research develops a dual-cycle ELV recycling and remanufacturing system to better understand and improve the efficiency of the ELV recycling and remanufacturing businesses. For the flawless operation of this system, the researchers employed evolutionary game theory to establish a game model between original vehicle manufacturers (OVMs) and third-party recyclers with the government involved. This research presents evolutionary stable strategies (ESS) that could promote an ELV recycling and remanufacturing system. Results show that OVMs' expected profit difference between choosing and not choosing authorization is crucial in their ESS. The licensing fee plays a part of OVMs' expected profit difference. Based on the results, optimal ESS could be achieved when the OVMs' expected profit difference between choosing authorization and not choosing authorization and the third-party recyclers' profit when paying the licensing fee are both positive. Then, the two groups' involvement in dual-cycle ELV recycling and the remanufacturing system can be ensured. This research implicates the government to devise appropriate reward and punishment strategy to encourage OVMs and third-party recyclers to collaborate for efficient recycling and remanufacturing systems. Particularly, the government is suggested to impose strict restrictions on OVMs to carry ELV recycling and provide support to promote recycling quantity standards. Hence, the ELV recycling and remanufacturing system would be strengthened, thus improving waste management which is crucial for both environmental and resource efficiency. [ABSTRACT FROM AUTHOR]

A Correction to this paper has been published: https://doi.org/10.1007/s11356-021-15192-8 [ABSTRACT FROM AUTHOR]