Опубликована: Янв. 1, 2024
Язык: Английский
Finance & Accounting Research Journal, Год журнала: 2024, Номер 6(5), С. 763 - 791
Опубликована: Май 21, 2024
This study critically evaluates the effectiveness of global governance mechanisms in promoting environmental sustainability and enhancing international relations. Employing a systematic literature review content analysis, research scrutinizes peer-reviewed articles, official reports, policy documents published between 2010 2024. The main objectives were to analyze role sustainability, assess its impact on relations, propose strategic recommendations for frameworks. methodology focused identifying, selecting, analyzing relevant based predefined inclusion exclusion criteria, emphasizing contributions multilateral agreements, organizations, public-private partnerships, involvement civil society non-governmental organizations. Key findings reveal that while have significantly contributed advancing goals, challenges related implementation, compliance, stakeholder engagement, integration technological innovations persist. concludes adaptive structures responsive evolving issues needs are crucial. Strategic include strengthening legal institutional frameworks, leveraging advancements. Directions future emphasize exploring emerging investigating non-traditional actors shaping policies. Keywords: Global Governance, Environmental Sustainability, International Relations, Systematic Literature Review.
Язык: Английский
Процитировано
18
Journal of Environmental Management, Год журнала: 2025, Номер 379, С. 124781 - 124781
Опубликована: Март 9, 2025
Язык: Английский
Процитировано
0
Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Апрель 28, 2025
The rapid decline in environmental quality and the expanding ecological footprint (EFP) have become critical challenges, particularly for G20 nations that play a central role global economic growth. This study investigates determinants of its sub-components across 17 G 20 countries over period 1996 to 2021. Using advanced econometric methods such as cross-sectional dependence tests, slope homogeneity unit root cointegration GMM, fixed effect models, Granger causality analysis, this research provides comprehensive analysis key drivers. findings highlight technological advancements significantly reduce footprint, especially by enhancing regulations fostering sustainable practices. Human capital (HC) institutional (IQ) emerge contributors sustainability, while globalization (GB) demonstrates mixed effects on outcomes. Moreover, stringent policies (EPS) exhibit robust bidirectional causal relationships with EFP, underscoring their vital mitigating degradation. underscores importance targeted governmental interventions promote innovation, strengthen frameworks, enforce rigorous regulations. These insights provide actionable guidance balance growth aligning sustainability goals.
Язык: Английский
Процитировано
0
Frontiers in Environmental Science, Год журнала: 2024, Номер 12
Опубликована: Март 11, 2024
Africa’s economy continues to be characterized by increasing environmental pollution caused anthropogenic activities. Despite the implications of in continent, little attention has been paid it, although almost all its countries are signatories Paris Agreement. One macroeconomic variable that proven a major driver region is industrialization. However, despite numerous explorations on connection between industrialization and degradation, limited studies have examined linkage amidst series East Africa. This study was, therefore, conducted help fill gap. In accomplishing this goal, econometric techniques control cross-sectional correlations, heterogeneity, endogeneity, among others, were employed for analysis. From results, panel under consideration was heterogeneous cross sectionally correlated. addition, studied first differenced stationary co-integrated long run. The elasticities regressors explored via augmented autoregressive distributed lag (CS-ARDL) estimator, (CS-DL) mean group (AMG) estimator. According led reduction quality through high CO 2 emissions. financial development, foreign direct investments, urbanization, energy consumption not environmentally friendly bloc. On causal linkages amid series, bidirectional causalities emissions, investments emissions detected. Finally, one-way movements from development urbanization unraveled. These findings useful helping stimulate emission mitigation agenda region. Based findings, recommended, national policies can promote conservation at industrial level convert structure low carbon-intensive one should formulated.
Язык: Английский
Процитировано
2
Water Air & Soil Pollution, Год журнала: 2024, Номер 235(5)
Опубликована: Апрель 29, 2024
Abstract In this research, deep learning and machine methods were employed to forecast the levels of stack gas concentrations in a coal-fired power plant situated Türkiye. Real-time data collected from continuous emission monitoring systems (CEMS) serves as basis for predictions. The dataset includes measurements carbon monoxide (CO), sulfur dioxide (SO 2 ), nitrogen oxides (NOx), oxygen (O dust levels, along with temperatures recorded. For analysis, such multi-layer perceptron network (MLP) long short-term memory (LSTM) models used, while techniques included light gradient boosted (LightGBM) stochastic descent (SGD) applied. accuracy was determined by analysing their performance using mean absolute error (MAE), root means square (RMSE), R-squared values. Based on results, LightGBM achieved highest (0.85) O predictions, highlighting its variance-capturing ability. LSTM excelled NOx (R-squared 0.87) SO 0.85) prediction, showing top (0.67) CO. Both LGBM values 0.78 indicating strong variance explanation. Conclusively, our findings highlight most effective approach concentration forecasting, closely followed good LightGBM. importance these results lies potential effectively manage emissions plants, thereby improving both environmental operational aspects. Graphical
Язык: Английский
Процитировано
2
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1