Achieving sustainable environmental growth and preventing further environmental degradation are challenging goals for policymakers. This study looks at environmental laws and green finance's role in fostering a more sustainable environment. The literature still needs to empirically or theoretically investigate how environmental laws and green financing affect carbon dioxide (CO2) emissions, particularly when combined with moderating factors such as social and economic globalization. As a result, this study investigates how environmental laws and green funding can help the N-11 nations cut their CO2 emissions. Our research uses empirical data from a group of the N-11 nations that span the years 2000 to 2019. To handle issues with panel data analysis, such as cross-sectional dependence and slope heterogeneity, we use advanced panel approaches (CIPS and CADF unit root and cointegration test and cross-sectional augmented ARDL). This research demonstrates that green financing (GFI) and environmental laws (ENV) have a negative but significant effect on CO2 emissions. While social globalization moderates the causal relationship between energy consumption and GDP while negatively and significantly causing GFI and ENV with CO2 emissions among the N-11 countries, economic growth has had a positive and significant effect on CO2 emissions in the N-11 countries. According to our research, nations could achieve the SDG-7 and SDG-13 goals if they adopted green financial and environmental policies.
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http://dx.doi.org/10.1007/s11356-023-26327-4 | DOI Listing |
JACS Au
January 2025
Department of Chemistry and Applied Biosciences, ETH Zürich, CH-8093 Zurich, Switzerland.
Hydrogenation of CO to methanol is foreseen as a key step to close the carbon cycle. In this study, we show that introducing Ga into silica-supported nanoparticles based on group 8-9 transition noble metals (M = Ru, Os, Rh, and Ir - Ga@SiO) switches their reactivity from producing mostly methane (sel. > 97%) to producing methanol (>50% CHOH/DME sel.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Department of Environmental Management, Institute of Environmental Engineering, RUDN University, Miklukho-Maklaya Street, 117198, Moscow, Russia.
Globally, agricultural lands are among the top emitters of greenhouse gases (GHGs), responsible for over 20% of total greenhouse gas (GHG) emissions. Climatic conditions, an acute challenge in sub-Saharan Africa (SSA), where access to mitigation technologies remains limited, have heavily influenced these lands. This study explores GHG contributions from crop production and their devastating and deteriorating impacts on the economy and environment and proposes a sustainable solution.
View Article and Find Full Text PDFAnimal
November 2024
Centro Universitario de la Región Este, Universidad de la República, Uruguay.
Cow-calf systems grazing native grasslands must transition toward improved economic performance simultaneously with the conservation and improvement of ecosystem services they provide. We present an innovation model with this objective based on a hierarchical model that links functional relationships between state variables, grazing experiments and its validation, and co-innovation at the farm level. This paper describes the hypotheses, designs, and results of the studies, and the role of grazing ecology and herbivore nutrition to support the process of ecological intensification of livestock systems on native grasslands.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, 781039, Assam, India.
The adoption of carbon capture, utilization, and storage (CCUS) technology is increasingly prevalent, driven by the global initiative to conserve energy and reduce emissions. Nevertheless, CCUS has the potential to induce corrosion in equipment, particularly in high-pressure environments containing carbon dioxide (CO). Therefore, anti-corrosion protection is necessary for the metal utilized for CO production and storage equipment.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Computer Science, American International University-Bangladesh (AIUB), Dhaka, 1229, Bangladesh.
The transportation industry contributes significantly to climate change through carbon dioxide ( ) emissions, intensifying global warming and leading to more frequent and severe weather phenomena such as flooding, drought, heat waves, glacier melting, and rising sea levels. This study proposes a comprehensive approach for predicting emissions from vehicles using deep learning techniques enhanced by eXplainable Artificial Intelligence (XAI) methods. Utilizing a dataset from the Canadian government's official open data portal, we explored the impact of various vehicle attributes on emissions.
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