Exploring the Effects of Renewable Energy, Energy Consumption, and Industrial Growth on Saudi Arabia’s Environmental Footprint: An Autoregressive Distributed Lag Analysis DOI Creative Commons
Mwahib Gasmelsied Ahmed Mohammed, Sufian Abdel-Gadir, Faizah Alsulami

и другие.

Energies, Год журнала: 2024, Номер 17(24), С. 6327 - 6327

Опубликована: Дек. 16, 2024

This study explores the long-run relationship among environmental footprint (EnF), renewable energy consumption, use, industrial growth, and urbanization in Saudi Arabia from 1990 to 2023, employing Autoregressive Distributed Lag (ARDL) model, alongside Fully Modified Ordinary Least Squares (FMOLS), Dynamic (DOLS), Canonical Cointegrating Regression (CCR) for robustness checks. Results indicate a significant long-term variables, with adoption emerging as crucial factor reducing carbon emissions. The ARDL bounds test confirms existence of cointegration, revealing dynamic interplay energy, economic sustainability. findings show that consumption significantly reduces (CO2 emissions), supporting Arabia’s Vision 2030 goals diversification sustainable development. However, expansion, while critical still contributes increased emissions, underscoring need further investment clean technologies. also highlights role urbanization, which, essential development, poses challenges Short-term dynamics, represented by Error Correction Model, fast adjustment speed toward equilibrium, deviations corrected approximately 52% each period. offers valuable insights policymakers aiming balance growth protection, emphasizing strategic investments efficiency. research understanding energy–economy–environment interactions oil-rich economies, providing foundation future studies explore impact advanced technologies policy interventions on development

Язык: Английский

Bringing Climate Action Into Perspective: Do the Engagements of Green Energy, Technological Innovation, and Tourism Matter in the Post‐COP27 Era? DOI
Jiao Zhu, Wei Zhou, Ridwan Lanre Ibrahim

и другие.

Natural Resources Forum, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

ABSTRACT This study examines how green energy, technological innovation, and tourism affect the volatility of carbon dioxide emissions in global economy, considering role globalization, economic growth, population. uses STIRPAT framework based on 1995–2019 dataset. In addition, augmented mean group estimator, fully modified ordinary least squares, dynamic method moments quantile regression are employed to analyze stated model. The results reveal that variables interrelate long run. Moreover, positively drives surge greenhouse gas across quantiles, robustly long‐run estimates obtained from other estimators. Green energy significantly mitigates upper quantiles Other covariates meet expected signs. this context, heterogeneity conditional distribution CO 2 is unveiled throughout examined. Likewise, analysis makes it possible verify functional roles current future environmental degradation. From results, some policy implications derived so respective governments can consider them. These measures focus boosting renewable resources attain sustainability.

Язык: Английский

Процитировано

0

Exploring the impact of trade openness on carbon emissions: Do scale, environmental regulations, and structural effects matter? DOI
Rui Jiang,

Z.J Jiang

Environment Development and Sustainability, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Green wheels in motion: Electric vehicle sales in the path to decarbonization DOI
Mohammad Younus Bhat, Arfat Ahmad Sofi,

Javeed Ahmad Ganie

и другие.

Transportation Research Part D Transport and Environment, Год журнала: 2025, Номер 142, С. 104704 - 104704

Опубликована: Март 25, 2025

Язык: Английский

Процитировано

0

Is natural resources curse possible under the digitalization? A loon on top digitalized economies DOI

Qizhi Zou,

Qian Wu, Jia Wang

и другие.

Resources Policy, Год журнала: 2024, Номер 92, С. 104913 - 104913

Опубликована: Апрель 5, 2024

Язык: Английский

Процитировано

4

Real-Time Scanning Curve of Soil–Water Characteristic Curve for Sustainability of Residual Soil Slopes DOI Open Access

Abdulroqeeb Mofeyisope Daramola,

Alfrendo Satyanaga,

Babatunde David Adejumo

и другие.

Sustainability, Год журнала: 2025, Номер 17(5), С. 1803 - 1803

Опубликована: Фев. 20, 2025

The scanning curve of the soil–water characteristic (SWCC) represents intermediate paths followed by soil as it transitions between initial drying and main wetting cycles. alternating occurrence climatic conditions, such rainfall evaporation in different regions globally, provides a valuable framework for understanding how these dynamics influence curve. Monitoring can provide insights managing water resources mitigating impacts drought, contributing to environmental sustainability enabling more precise agricultural practices, promoting conservation, supporting resilience ecosystems face climate change. It enhances data-driven designs that minimize resource use, reduce impact, increase slopes natural hazards like landslides flooding. Available studies determine SWCC are limited mostly conducted laboratory. This study aims real-time measurement unsaturated soil. research focuses on assessing hysteresis behavior residual slope from old alluvium through combination field instrumentation laboratory testing. pore size distribution was derived SWCC. Field monitoring (scanning curve) indicates measurable deviations experimental results, including 10% lower saturated content 25% air-entry value. demonstrates potential field-based determination curves. highlights their role improving prediction hydraulic during varying conditions.

Язык: Английский

Процитировано

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

и другие.

Heliyon, Год журнала: 2024, Номер 10(13), С. e33398 - e33398

Опубликована: Июнь 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.

Язык: Английский

Процитировано

3

Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression DOI Creative Commons
Mohammad Ridwan,

Afsana Akther,

Md. Ahsanul Tamim

и другие.

Discover Sustainability, Год журнала: 2024, Номер 5(1)

Опубликована: Ноя. 25, 2024

In recent years, the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) region has faced pressing environmental concern, containing deforestation, pollution, biodiversity depletion, increasing vulnerability to change. Since many member countries depend highly on Bengal's ecosystem livelihoods economic activities, addressing such challenges is crucial sustainable development. This research examines impacts forestry, urbanization, financial inclusion load capacity factor (LCF) in period 2000–2022. The study seeks understand factors influencing regional LCF using econometric methods, as cross-sectional dependence, slope homogeneity tests, second-generation unit root panel cointegration analyses. Driscoll Kraay Standard Error (DKSE) method reveals a U-shaped connection between income LCF, supporting hypothesis Load Capacity Curve (LCC) BIMSTEC zone. result indicates strong positive connections while highlighting adverse effects inclusion. Additional quantile regression (QR) analysis validation confirms steady association across various quantiles. highlights benefits forestry urbanization drawbacks population size. suggests promoting balanced urban development, cautious inclusion, management, providing insights policymakers develop strategies resilience prosperity region.

Язык: Английский

Процитировано

3

The spillover effect of economic institutions on the environment: A global evidence from spatial econometric analysis DOI Creative Commons
Olivier Joseph Abban, Gulasekaran Rajaguru, Alex O. Acheampong

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123645 - 123645

Опубликована: Дек. 16, 2024

This study examines the impact of economic institutions on ecological footprint and their spatial spillover effects globally, covering period from 2000 to 2021. We focus because that espouse freedom are essential for safeguarding environmental quality. hypothesize influence these varies both globally regionally. The Moran's I test reveals significant associations among countries, while Wald likelihood tests identify Durbin model as most appropriate approach. Furthermore, Hausman indicates a fixed best captures coefficients. Globally, demonstrate direct reduction effect 16.4% 4.4% footprint. However, show considerable regional variation. In North America, East Asia Pacific, Middle East, Africa, Europe, Central Asia, effectively reduce footprint, is negligible in other regions. These differences underscore importance addressing institutional deficiencies, encouraging policymakers regions with limited learn practices enhance effectiveness. insights collectively advance literature economics, emphasizing policy adaptation transboundary findings further reveal moderate GDP per capita curb significantly. conclusions hold even after endogeneity using generalized two-stage least squares method. recommends policies promoting mitigate global degradation.

Язык: Английский

Процитировано

3

Urban Green Space Regulation: Challenges to Water Resources Conservation in Indonesia and Australia DOI Creative Commons

Jundiani Jundiani,

Moh. Fadli, Indah Dwi Qurbani

и другие.

Journal of Human Rights Culture and Legal System, Год журнала: 2024, Номер 4(1), С. 169 - 193

Опубликована: Фев. 19, 2024

The escalating environmental crisis and pressing water resource conservation issues globally necessitate comprehensive research. This study investigates urban green space regulations challenges in Indonesia Australia. Employing a comparative analysis, it examines the legal frameworks, policies, implementations both countries. research aims to identify innovative sustainable strategies for protection. Findings reveal substantial disparities regulatory approaches, public involvement, integration of technologies management between two nations. needs help enhancing institutional capacity integrating policies into planning, while Australia focuses on climate change adaptation management. advocates cross-sectoral collaboration ecosystem principles practical objectives. It contributes fresh perspectives policy frameworks addressing through management, offering recommendations cohesive development.

Язык: Английский

Процитировано

2

Leading role of natural resources, eco-efficiency assessment, and energy transition in environmental sustainability: A depth of digital transformation DOI
Bin Li

Resources Policy, Год журнала: 2024, Номер 94, С. 105145 - 105145

Опубликована: Июнь 7, 2024

Язык: Английский

Процитировано

2