Exploring the impact of financial globalization, good governance and renewable energy consumption on environmental pollution: Evidence from BRICS-T countries DOI Creative Commons

Ruikun Lu,

Yue Yang,

Jianwen Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33398 - e33398

Published: June 21, 2024

The nations of Brazil, Russia, India, China, South Africa, and Turkey (BRICS-T) have yet to find a satisfactory answer the problem how reduce environmental pollution in their environments significantly. Using panel data from 1990 2022, this study analyzes dynamic relationship between energy financial globalization (FG), good governance (GG), renewable consumption (REC), urbanization (URB), economic growth (GDP), pollution. To estimate long-run short-run interaction among variables, research included Cross-sectional- ARDL. This shows that growth, use, urbanization, degradation correlate positively In contrast, BRICS-T economies significantly reduced due FG, GG REC. These results also lend credence Environmental Kuznets Curve (EKC) concept for developing nations, which has been focus recent attention. Additionally, fixed effects-difference differences (FE-DK) AMG robustness tests validate CS-ARDL estimator. Finally, findings found countries may benefit study.

Language: Английский

Partnerships for Sustainable Development: a Quintuple Helix Framework for Research, Innovation, and Extension in Philippine State Universities DOI Creative Commons
Kenneth L. Armas,

Marivic N. Villegas

Journal of Lifestyle and SDGs Review, Journal Year: 2025, Volume and Issue: 5(2), P. e03158 - e03158

Published: Jan. 17, 2025

Objectives: This study investigates the potential use of Quintuple Helix Model in strengthening Research, Innovation and Extension (RIE) functions among State Universities Colleges (SUCs) Philippines. It assesses dynamics between SUCs, government, industry, civil society, as well natural environment. Method: conducts a systematic review literature government reports: data from peer-reviewed journals, policy documents, publications various key agencies such Commission on Higher Education (CHED), Department Science Technology (DOST), National Economic Development Authority (NEDA) are analyzed. Patterns, gaps opportunities based were coded using thematic content analysis. Results Discussion: SUCs identified central to knowledge generation transformation but their is dependent three interlinked factors; inadequate infrastructures, limited funding fragmented policies. Theoretical collaborations, technology transfer processes community engagement efforts, shed light partnerships across different sectors manifested experimental projects, though persistent challenges present intellectual property troubles or misaligned interests often hinder successful cooperation. Research Implications: The research highlights need for coordinated investments infrastructure, skills governance reforms. Public-private Partnerships inter-disciplinary then recommended maximize contribution sustainable development. Originality/Value: presents corroborated discourse application Philippine context its results can yield practical insights, scalable strategies enhance RIE, thus serving valuable reference policymakers, educators, researchers.

Language: Английский

Citations

0

Optimization of Material Composition for Improving Mechanical Properties of Fly Ash-Slag-Based Geopolymers: A Deep Learning Approach DOI
Hang Z. Yu, Yongqi Zhou, Wenjing Xia

et al.

Langmuir, Journal Year: 2025, Volume and Issue: unknown

Published: April 9, 2025

Geopolymer is regarded as a novel type of eco-friendly material that may replace cement. To improve the prediction accuracy mechanical properties fly ash-slag-based geopolymer (FASGG), well optimize composition and mix design, this study utilizes seven key parameters variables, compressive flexural strengths were outputs. Deep learning techniques applied to train predict 600 sets experimental data, developing predictive model MK-CNN-GRU, which integrated Maximal Information Coefficient-K-median algorithm, Convolutional Neural Network, Gated Recurrent Unit algorithms. Results indicated ranking input related with strength was curing age, Ca/Si ratio, ash-to-slag Si/Al water-to-binder alkali activator modulus, equivalent. Three classical models selected benchmarks for predicting at different ages. The MK-CNN-GRU could fully exploit internal features data learn its variation patterns, resulting in more stable performance. An ablation submodels confirms considers temporal dependencies, long- short-term features, local dependencies hierarchical feature representations within data. Experimental suggested an exponential relationship between FASGG. predictions effectively captured variations, demonstrating good generalization ability applicability. This enhances estimation regarding behavior FASGG, offering theoretical framework refining design.

Language: Английский

Citations

0

Innovation and Carbon Emissions: A Southeast Asian Perspective DOI
Irsan Hardi, Mustafa Necati ÇOBAN,

Michael Provide Fumey

et al.

Ekonomikalia Journal of Economics, Journal Year: 2025, Volume and Issue: 3(1), P. 15 - 32

Published: April 4, 2025

In an era where sustainable development is paramount, understanding the relationship between innovation and environmental impact has become increasingly critical. As Southeast Asian (SEA) economies strive to transition toward more knowledge-based technology-driven growth, it crucial assess whether fosters sustainability or exacerbates degradation. This study examines of ecosystem on CO2 emissions in selected SEA countries, utilizing various metrics from Global Innovation Index (GII) grouped into five categories: institutions, human capital research, infrastructure, market sophistication, creative outputs. By employing Generalized Linear Models (GLMs) conducting robustness checks with Robust Least Squares (RLS), reveals that all GII categories significantly emissions. However, findings indicate this positive, meaning landscape continues contribute rising The country-specific analysis also confirms most are still not environmentally friendly. evidence underscores need for policymakers countries prioritize frameworks promote adoption inclusive green technologies practices mitigate adverse effects

Language: Английский

Citations

0

The Intersection of Digitalization, Innovation, and Information Technology: A New Era of Sustainable Development in EU DOI Creative Commons
Jana Hojnik,

Simona Kustec,

Ana Zalokar

et al.

Sustainable Development, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

ABSTRACT Environmental issues have been at the heart of global and EU member states policy agenda least for last decade. Currently, support innovation is one focal areas environmental sustainability development, with a focus on digitalization information technology as leading driving forces current sixth wave development. This paper examines whether how level use technologies, digitalization, in case Member States, are related. We assume that tight interconnection between exists both normative real‐life making. conducted literature review existing documents from field sustainability, already studies statistical analysis data European Innovation Scoreboard 2023, conducting Pearson correlation test linear regression. Our results indicate positive well technology, but not sustainability. The findings provide valuable insights reflection innovation, among advocates such development it opens need to build bridge words everyday attitudes toward innovation. More action required sense putting into research findings.

Language: Английский

Citations

0

Exploring the impact of financial globalization, good governance and renewable energy consumption on environmental pollution: Evidence from BRICS-T countries DOI Creative Commons

Ruikun Lu,

Yue Yang,

Jianwen Liu

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(13), P. e33398 - e33398

Published: June 21, 2024

The nations of Brazil, Russia, India, China, South Africa, and Turkey (BRICS-T) have yet to find a satisfactory answer the problem how reduce environmental pollution in their environments significantly. Using panel data from 1990 2022, this study analyzes dynamic relationship between energy financial globalization (FG), good governance (GG), renewable consumption (REC), urbanization (URB), economic growth (GDP), pollution. To estimate long-run short-run interaction among variables, research included Cross-sectional- ARDL. This shows that growth, use, urbanization, degradation correlate positively In contrast, BRICS-T economies significantly reduced due FG, GG REC. These results also lend credence Environmental Kuznets Curve (EKC) concept for developing nations, which has been focus recent attention. Additionally, fixed effects-difference differences (FE-DK) AMG robustness tests validate CS-ARDL estimator. Finally, findings found countries may benefit study.

Language: Английский

Citations

3