Distribution characteristics, risk assessment, and source analysis of heavy metals in typical lake sediments in Inner Mongolia, China DOI Creative Commons
Hui Zhang,

Shengnan Zhao,

Xiaohong Shi

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112341 - 112341

Published: July 9, 2024

As an important indicator of water pollution, heavy metals in lake sediments can reflect the severity pollution entire study area. Although risk assessment sediment from various lakes has been widely studied, there is a lack understanding on overall Inner Mongolia located cold and arid regions. This based data 2019 to 2023 (Cu, Zn, Pb, Cr, Cd) typical Mongolia, combining toxicity, ground accumulation index, potential ecological risks with Monte Carlo simulation evaluate lakes. Furthermore, origins were quantitatively analyzed using qualitative analysis absolute principal component core–multiple linear regression model. presented following results. Firstly, according toxicity coefficient, Cd Cr identified as most hazardous toxic elements Mongolia. Secondly, degree followed light gradient, central > eastern western. The western primarily originated natural factors, whereas mainly affected by pollutants industry, agriculture, human activities. Eastern experienced animal husbandry activities factors. comprehensive this serve valuable reference for restoration polluted

Language: Английский

Economic policy uncertainty: Global energy security with diversification DOI
Vishal Dagar, Leila Dagher,

Amar Rao

et al.

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 82, P. 248 - 263

Published: March 11, 2024

Language: Английский

Citations

44
Spatial-temporal characteristics and drivers of urban built-up areas land low-carbon efficiency in China DOI Creative Commons
Jinjun Guo, Pengfei Feng, Han Xue

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 10, 2025

Understanding the evolution of low-carbon efficiency in urban built-up areas is essential for developing countries striving to meet sustainable development goals. However, mechanisms driving and associated pathways remain underexplored. This study applies Global Data Envelopment Analysis (DEA) model, Malmquist-Luenberger Index, econometric models evaluate its determinants across China's from 2010 2022. The findings reveal a significant increase efficiency, 0.555 0.785 2022, reflecting an overall improvement 41.4% (P < 0.05). Spatially, demonstrates pronounced "east-high west-low" distribution, highlighting regional disparities spatial correlations. Temporal changes are primarily driven by technological advancements shifts frontier. disproportionate gains during periods high resource input suggest inefficiencies production factor allocation, particularly densely populated centers. Unlike natural endowments, concentrated inputs such cities often impede improvements. underscore need context-sensitive strategies, as one-size-fits-all model may not address diverse challenges posed disparities. By leveraging market optimize allocation strengthen interregional connectivity, this provides actionable insights promoting land economies.

Language: Английский

Citations

2
Spatial differences and dynamic evolution of economic resilience: from the perspective of China’s eight comprehensive economic zones DOI

Kaiming Cheng,

Xinyu Wang, Liu Shucheng

et al.

Economic Change and Restructuring, Journal Year: 2024, Volume and Issue: 57(2)

Published: March 21, 2024

Language: Английский

Citations

12
Does energy transformation improve green development efficiency? Evidence from Sichuan Province, China DOI Creative Commons
Qiaochu Li, Peng Zhang, Junhua Chen

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 12, P. 861 - 871

Published: July 6, 2024

Language: Английский

Citations

9
Toward a sustainable future: Determinants of renewable energy utilisation in Canada DOI
Vu Ngoc Xuan

Energy Reports, Journal Year: 2025, Volume and Issue: 13, P. 1308 - 1320

Published: Jan. 11, 2025

Language: Английский

Citations

1
Robot race in geopolitically risky environment: Exploring the Nexus between AI-powered tech industrial outputs and energy consumption in Singapore DOI
Md. Monirul Islam, Muhammad Shahbaz, Faroque Ahmed

et al.

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 205, P. 123523 - 123523

Published: June 15, 2024

Language: Английский

Citations

8
Role and applications of advanced digital technologies in achieving sustainability in multimodal logistics operations: A systematic literature review DOI Creative Commons
Anaiz Gul Fareed, Fabio De Felice, Antonio Forcina

et al.

Sustainable Futures, Journal Year: 2024, Volume and Issue: 8, P. 100278 - 100278

Published: Aug. 12, 2024

Integration of advanced digital technologies along with ensuring environmental sustainability in the logistics sector is becoming need hour novel multimodal transportation concept. The rapid technological development era industry 4.0 can not only create new opportunities achieving highly efficient, intelligent, and smart systems but also enable business models for value addition, additionally, this system will avoid degradation use scarce natural resources that contribute to climate change. This paper summarizes research trends these since 2005 through a systematic literature review. results revealed mixed picture situation, starting from emerging like artificial intelligence, machine learning, blockchain key concepts government policy hurdles lack impact breakthroughs industry. However, show adaptation improves overall environmental, economic, social system.

Language: Английский

Citations

7
Sustainable financial institution in Indonesia: An empirical analysis of social-cultural context, nepotism, and moral hazard on the shaping of non-performing loans DOI Creative Commons
Tia Rahmania,

Septantri Shinta Wulandari,

Asep Marfu

et al.

Sustainable Futures, Journal Year: 2024, Volume and Issue: 8, P. 100279 - 100279

Published: Aug. 23, 2024

This study investigates the complex relationships among social and cultural contexts, nepotism, moral hazard, non-performing loans (NPLs) within Indonesian financial institutions. Using survey data from a sample of these institutions, it employs structural equation modeling (SEM) to analyze relationships. The findings reveal significant paths: context significantly influences nepotism (β = 0.345 or 34.5%) hazard 0.347 34.7%), while has notable effects on 0.157 15.7%) NPLs 0.379 37.9%). Nepotism 0.168 16.8%) 0.325 32.5%) also directly impact NPLs, highlighting their roles as mediators between contexts loan portfolio quality. These results underscore pivotal factors in shaping organizational behavior risk management practices. provides critical insights for practitioners, policymakers, scholars focused enhancing sustainability integrity institutions Indonesia. However, its reliance cross-sectional self-reported surveys, focus solely may affect generalizability findings. Despite limitations, underscores importance addressing issues like improve stability region.

Language: Английский

Citations

7
Searching for complexity. Application of the set-theory to the analysis of urban mobility readiness index DOI Creative Commons
Cayetano Medina Molina, Noemí Pérez-Macías, María Coronado Vaca

et al.

Discover Sustainability, Journal Year: 2024, Volume and Issue: 5(1)

Published: Jan. 26, 2024

Abstract Numerous initiatives have been developed to monitor the sustainability performance of cities, with rankings and indicators emerging as crucial tools for understanding complex urban phenomena. However, these indices require deeper analytical methods fully interpret their results. This study highlights application Set-Theory methods, specifically Qualitative Comparative Analysis process-tracing in analyzing Urban Mobility Readiness Index (UMR) across 60 cities 2021 2022. Our primary achievement is demonstration Set-Theory´s ability unravel causal complexity dynamics. We find that mobility readiness its negation are not determined by singular conditions but a combination conditions. Necessary such infrastructure socioeconomic factors identified, which critical achieving higher level UMR, negation. Cities lacking less likely reach desired sustainable development. Additionally, we reveal certain serve beyond scope definitions, actively triggering mechanisms both insight underscores multifaceted nature sustainability, guiding towards effective strategies thus contributes nuanced mobility, essential policymakers planners.

Language: Английский

Citations

6
Economic globalization and ecological impact in emerging economies in the post‐COP21 agreement: A panel econometrics approach DOI
Festus Vıctor Bekun, İlhan Öztürk

Natural Resources Forum, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 5, 2024

Abstract Globally, the need for ecological well‐being and sustainable development attracted research policy attention over years. However, issues concerning nexus between globalization safety remain contentious unresolved. Therefore, this study contributes to discourse by evaluating impact of economic on footprints in seven emerging economies (E7) while accounting other drivers environmental degradation outlined bloc period 1990–2021. The present leverages panel data econometric techniques achieve objectives. findings shows that increase activities drive a higher footprint thus reduce quality economies. This concludes progress increasing wave their integration is detrimental environmentally development. recommends, among insightful inferences, global agenda should be prioritized, environment‐friendly pursued. Environmental regulations strictly observed countries bid integration.

Language: Английский

Citations

6