Plastics are the most common form of debris found along the Argentine coastline. The Río de la Plata estuarine area is a relevant case study to describe a situation where ample policy exists against a backdrop of plastics disposed by populated coastal areas, industries, and vessels; with resultant high impacts of plastic pollution on marine turtles and mammals. Policy and institutions are in place but the impact remains due to ineffective waste management, limited public education and awareness, and weaknesses in enforcement of regulations. This context is frequently repeated all over the world. We list possible interventions to increase the effectiveness of policy that require integrating efforts among governments, the private sector, non-governmental organizations and the inhabitants of coastal cities to reduce the amount of plastics reaching the Río de la Plata and protect threatened marine species. What has been identified for Argentina applies to the region and globally.

Anthropogenic occurring nanoparticles (NPs) have been one of the principal catalytic components of marine pollution throughout its history. The phosphogypsum (PG) factories present environmental risks and evident marine pollution in different parts of the world. Many of these factors continue to operate, however, some have already been abandoned by the private sector. The general objective of this manuscript is to analyze the real nanoparticles (NPs) present on a beach in southern Brazil to illustrate the need to create public policies and projects for environmental recovery. This work focused on real representative sampling of suspended sediments (SSs), and on a modern analytical procedure via advanced electron microscopes (field emission scanning electron microscope-FE-SEM and high resolution transmission electron microscope-HR-TEM coupled with an energy dispersive X-ray microanalysis system-EDS) to analyze NPs containing hazardous elements (HEs). The results presented in this work demonstrate who the size, morphology, among other physical-geochemical characteristics influence in the adsorption of HEs by the NPs and their respective agglomerates. This study is of great importance for carrying out the application of advanced techniques and methods to better understand the formation and transport of NPs on beaches, which allows assisting in the management of waste from plaster factories on a global scale.

This paper explores the governance characteristics of marine plastic debris, some of the factors underpinning its severity, and examines the possibility of harnessing corporate social responsibility (CSR) to manage plastic use within the contextual attitudes of a contemporary global society. It argues that international and domestic law alone are insufficient to resolve the “wicked problem” of marine plastic debris, and investigates the potential of the private sector, through the philosophy of CSR, to assist in reducing the amount and impacts of marine plastic debris. To illustrate how CSR could minimise marine plastic pollution, an industry-targeted code of conduct was developed. Applying CSR would be most effective if implemented in conjunction with facilitating governance frameworks, such as supportive governmental regulation and non-governmental partnerships. This study maintains that management policies must be inclusive of all stakeholders if they are to match the scale and severity of the marine plastic debris issue.

This study determines the impacts of gross domestic product, domestic bank credits given to private sector, and military expenditures on carbon emissions based on 1990–2019 time period. The panel quantile regression approach is applied for the Visegrád group countries. Our empirical results reveal that domestic bank credit given to private sector has a positive and meaningful impact on carbon emissions at medium and high quantile levels. On the other hand, it has been determined that gross domestic product has a reducing impact on carbon emissions, but military expenditures have an increasing impact on carbon emissions. Besides, as consequences of such tests, the difference between the quantiles, that is, the heterogeneous structure was revealed. A separate model was created with a different panel quantile approach for robustness control, and the results were compared by giving different values to penalty term. These results provide strong evidence for decision-makers and implementers.

In thirst for economic growth, economies are engaged in anti-environmental activities that drive them towards climate change and CO₂ emissions. Extensive CO₂ emissions is a serious threat around the globe, especially in low-income countries that can prove detrimental to the environment. To prevent the worst impacts of carbon emission, it becomes necessary to explore the cause of CO₂ emissions. In this vein, this work is conducted to evaluate the determinants of CO₂ emissions in low-income countries spanning from 2000 to 2020. For estimation of models, panel data techniques are employed. The outcome of the study revealed that trade FDI, urbanization, and GDP per capita are the main contributing factors to environmental degradation. Trade openness has also impacted environmental degradation positively but insignificantly. In contrast, population density and domestic credit to private sector (DCPS) have negatively impacted low-income countries’ carbon emissions. The study extended important policy implications to low-income countries’ governments and environmental policymakers.

According to the United Nations World Tourism Organization (UNWTO), tourism sector ranks high in terms of her contribution to economic growth and employment opportunity generation in most economies. Several studies have been documented in the extant literature on the nexus between emission, tourism, and economic growth. However, the role of foreign direct investment that highlights either pollution haven or halo hypothesis and pivotal role of domestic credit to private sector in an environmental Kuznets curve (EKC) environment is lacking in the extant literature. To this end, this study used augmented mean group (AMG) and method of moment quantile regression (MM-QR) approaches to explore the nexus between per capital income and its square, tourism, foreign direct investment, domestic credit to private sector and CO₂ emission. Empirical results show that tourism had a negative significant relationship with CO₂ emission. Furthermore, income on the other hand had positive relationship with emissions while its square had negative relationship with emissions. This result also shows the presence of EKC indicating the inverted U-shaped curve. FDI has shown a positive significant relationship with pollution which indicates the pollutant haven hypothesis (PHH), and credit to private sector shows a positive relationship with CO₂ emission. On the causality analysis from Dumitrescu and Hurlin panel causality test, there was a bi-directional causality between: tourism and CO₂ emission, per capital income and CO₂ emission as well as domestic credit and CO₂ emission. From these outcomes, it shows that tourism development is not detrimental to environmental quality in the Mediterranean region investigated. However, there is need for caution on FDI influx and dirty economic activities that might compromise environmental quality in the study bloc.

Environmental sustainability is increasing emphasis on global environmental concerns at the forefront of public policy debate. This paper investigates the relationship between energy investments and environmental sustainability in China from 1980 to 2018 while considering the moderating effect of international trade and economic growth under the environment Kuznets curve (EKC) framework. We apply advanced econometric modeling for empirical analysis. Our findings show that energy investment and economic growth are positive, while international trade is negatively associated with ecological footprints. Moreover, economic growth and energy investment deteriorate, while international trade improves environmental sustainability. This empirical evidence suggests the improvements in cleaner energy infrastructure with the participation of the private sector to promote clean energy investment. We argue that policymakers should ensure environmental provisions in the regional and bilateral trade agreements to harmonize the environmental regulations, and develop crucial trade and ecological policy indicators to monitor policy consistency.

The present research article uses simultaneous equation modelling approach to investigate the three-way linkages between economic growth, energy consumption, and environmental quality in Turkey for the 1970 to 2014 period. Further, the study uses physical capital stock, labour force, manufacturing value added, trade openness, credit to private sector, and urbanisation as control variables. The paper employs generalised method of moments (GMM) technique that ensures consistent and efficient estimates of the long-run relationship. The econometric approach controls for nonstationarity, endogeneity, cross-error correlation, and heteroscedasticity problems. Further, robustness of the results is checked by using three-stage least squares (3SLS) estimator. The statistical results of the paper support the existence of bidirectional causality between energy consumption and economic growth, CO₂ emissions and economic growth, and CO₂ emissions and energy consumption. Moreover, the results indicate existence of a monotonically increasing relationship between CO₂ emissions and economic growth implying non-existence of Environmental Kuznets Curve hypothesis in Turkey during the sample period. The findings of the present study are of particular interest to policymakers as they help pursue economic policies to achieve sustainable development.

Over the last decades, the demographic changes have all altered the population structure and influenced the social, economic, and political characteristics of countries over the world. Therefore, the creation of novel ecosystems, new clusters and systems which involved technology and industry, business, education, science, and innovation are increased rapidly. However, in order to solve the future global challenges, the created various types of clusters, public and private sector systems should cooperate and work together as a unit. Therefore, one of the proposed solutions is unified regional ecosystems’ building. The Interreg European Life Science Ecosystems (ELISE) project addresses the societal challenge which is common to the European regions: to promote better health for all. This covers the need to improve health and well-being outcomes, to promote market growth, job creation, and EU competitiveness. Based on the project, three different regions of the European countries—Poland, Italy, and Germany—are selected in order to perform the analysis of drivers directly influencing the move from the existing clusters to unified regional ecosystem. The performed analysis showed that the government of a country and regional public authorities have the direct influence and play the central role in shaping unified regional ecosystems. The common economic, social, and political situation in a country is dependent on the government and it is influenced by the regional public authorities. Therefore, the collaboration and conversation among such institutions is the important factor defining how quickly different countries will create unified ecosystems and will solve the future problems.

Energy intensity reduction is an exigent issue for Iran, where energy consumption is so high. Therefore, finding effective policies to reduce energy intensity is essential. With this in mind, the impact of financial development, government investment, oil revenues, and trade openness on energy intensity is assessed in this study. We combined structural vector error correction model (SVECM) and directed acyclic graphs (DAG) technique to examine the relationships between study variables. The results of DAG prove that financial development, government investment, oil revenues, and trade openness influence the intensity of energy. Besides, the significant and long-run relationships among variables allowed us to apply SVECM. Impulse response functions and variance decomposition analysis indicate that government investment, oil revenues, and trade openness are negatively associated with the intensity of energy. Also, financial development positively influences energy intensity. Meanwhile, the impact of government investment is more significant than oil revenues, trade openness, and financial development impacts. So, government investment is the most effective policy regarding optimizing the consumption of energy and reducing energy intensity. We also advise policymakers to use oil revenues to increase government investment, enhance trade openness, and tax the private sector to improve the level of energy intensity.