Global warming and greenhouse gas emissions have become a severe threat to our ecosystem. Prior studies on environment posit that ample exhaustion of fossil fuels for energy is one of the fundamental causes of environmental degradation and naturally replenished energy sources are affordable over fossil fuels. This study set out to examine the role of financial sectors and globalization (in the presence of energy and renewable energy consumption) for a sustainable environment in the panel of Central and Eastern European (CEE) countries in One Belt and One Road initiative perspective. The current study uses annual data of 16 CEE countries covering the period of 1980 to 2016. After confirmation of cross-sectional dependency and co-integration among variables, we applied the Dynamic Seemingly Unrelated Regression and Dumitrescu-Hurlin causality approach for long-run estimations and to check the causal relationship, respectively. The empirical findings of the study certify the existence of an environmental Kuznets curve for the selected panel countries. Globalization is enhancing the environmental quality of the CEE economies. It is important to note that energy consumption and renewable energy consumption have a positive and statistically significant whack on carbon emission. In addition, we do not find a significant link between financial development and carbon emission. Granger casualty test confirms a two-way causal relationship between economic growth and carbon emission, globalization and environmental degradation, globalization and renewable energy consumption, economic growth and renewable energy consumption, and between financial development and energy consumption. Moreover, we found one-way causality from energy consumption (renewable and non-renewable) to carbon emissions. Based on the findings, a number of appropriate policy suggestions are presented in the perspective of Central and Eastern European Countries.
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http://dx.doi.org/10.1007/s11356-019-05714-w | DOI Listing |
Microb Biotechnol
January 2025
Institute of Bio- and Geosciences, IBG-1: Biotechnology, Forschungszentrum Jülich GmbH, Jülich, Germany.
Glucose is the most abundant monosaccharide and a principal substrate in biotechnological production processes. In Pseudomonas, this sugar is either imported directly into the cytosol or first oxidised to gluconate in the periplasm. While gluconate is taken up via a proton-driven symporter, the import of glucose is mediated by an ABC-type transporter, and hence both require energy.
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January 2025
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
Machine learning algorithms have proven to be effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementation of these algorithms at cryogenic temperatures is essential. Here we utilize magnetic topological insulators as memristors (termed magnetic topological memristors) and introduce a cryogenic in-memory computing scheme based on the coexistence of a chiral edge state and a topological surface state.
View Article and Find Full Text PDFSci Rep
January 2025
Minerals Beneficiation and Agglomeration Department, Minerals Technology Institute, Central Metallurgical Research & Development Institute (CMRDI), P.O. Box 87, Helwan, Cairo, 11722, Egypt.
Fine grinding using a stirred ball mill can enhance ore liberation but incurs high energy consumption, which can be minimized by optimizing operating conditions. This study explores the impact of key operational parameters-grinding time, stirrer tip speed, solid concentration, and feed size-on grinding efficiency, evaluated using specific energy inputs, in stirred milling of Egyptian copper ore. The particle size distribution (PSD) of ground products was simulated using the Gates-Gaudin-Schuhmann model (GGS) and the Rosin-Rammler-Benne (RRB) function.
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January 2025
Business School, Hebei University of Economics and Business, Shijiazhuang, 050062, China.
The development and implementation of county carbon control action plans in the Yellow River Basin (YRB) are crucial for realizing the "dual carbon" goals and modernizing national governance. Utilizing remote sensing data from 2001 to 2020, this study constructs a light-carbon conversion model and a carbon footprint model to simulate the carbon footprint of county energy consumption in the YRB. Employing spatial autocorrelation and spatial Durbin models, the study examines the temporal-spatial evolution characteristics and spatial effect mechanism.
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January 2025
PV Unit, Solar and Space Research Department, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt.
The inadequate thermal insulation of the building envelope contributes significantly to the high power consumption of air conditioners in houses. A crucial factor in raising a building's energy efficiency involves utilizing bricks with high thermal resistance. This issue is accompanied by another critical challenge: recycling and disposing of waste in a way that is both economically and environmentally beneficial, including using it to fuel industrial growth, in order to reduce the harmful effects of waste on the environment as waste generation in our societies grows.
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