AIMC Topic: Conservation of Natural Resources

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Does China's green credit interest subsidies policy promote enterprises' green technology innovation quality? Based on the perspective of financial and fiscal coordination.

Journal of environmental management
Against the backdrop of escalating energy and environmental challenges, examining how the green credit policy empowers enterprises to build external pressure transmission mechanisms, activate internal governance capacities, and enhance green technolo...

Multi-scale transformation and evolutionary factors of ecological security patterns in the Yangtze River Economic Belt.

Journal of environmental management
Ecological security is vital for ecosystem sustainability and varies across scales. Macro-scale assessments often miss local details, whereas micro-scale evaluations may overlook broader patterns. Multi-scale analysis of ecological security patterns ...

Artificial intelligence-driven internet of things-based green supply chain for carbon reduction in sustainable manufacturing.

Journal of environmental management
Recent advancements in sustainable business practices and information technology trends have led to the rise of green smart supply chains. These green sustainable supply chains are a novel approach that involves information technology to enhance the ...

Spatiotemporal variations and driving mechanisms of carbon storage in Central Asia: Insights from the PLUS-InVEST models and machine learning.

Journal of environmental management
Against the backdrop of global climate change and rapid socioeconomic advancement, significant land use/cover changes(LUCC) in Central Asia have profoundly impacted terrestrial ecosystem carbon storage(CS). However, the assessment and spatiotemporal ...

Analysis of the influence of climate change on wetland evolution and its driving process from an integrated perspective of landscape connectivity and fragmentation.

Journal of environmental management
The evolution of wetland ecosystems from the perspectives of landscape connectivity and fragmentation is a critical interdisciplinary topic in contemporary wetland science and landscape ecology. In the context of global warming, the mechanisms by whi...

Does AI-driven innovation improve green productivity? The role of heterogeneous information infrastructure.

Journal of environmental management
Artificial intelligence (AI) 's rapid advancement presents opportunities and challenges for achieving sustainable development goals. In particular, understanding how AI can enhance green productivity is crucial for promoting high-quality, low-carbon ...

Profiling of mangrove forest dynamics in the Fly River delta, Papua New Guinea.

Marine pollution bulletin
Mangrove forests (MFs), as vital ecosystems in tropical and subtropical coastal regions, play a significant role in the global carbon cycle. However, MFs are currently facing unprecedented risks of degradation due to both natural and anthropogenic fa...

Building efficiency: How the national AI innovation pilot zones enhance green energy utilization? Evidence from China.

Journal of environmental management
Improving energy efficiency is a pivotal strategy for achieving energy conservation, emission reduction, and green development goals, while also serving as a critical indicator for evaluating high-quality economic growth and sustainable development. ...

The role of artificial intelligence and bureaucracy in frugal innovation for social and environmental performance: A structuration theory approach.

Journal of environmental management
Artificial Intelligence (AI) has played a crucial role in decision-making within public departments. The impact of AI on the discretion exercised by public officials and bureaucrats has attracted significant scholarly attention. Despite the growing b...

The impact of socio-economic factors on the ecological footprint in Turkey: A comprehensive analysis using machine learning approaches.

Journal of environmental management
This study undertakes a comprehensive investigation into the impact of socioeconomic factors on the ecological footprint (EFP) in Turkey. It employs robust econometric methods and advanced Machine Learning (ML) models. The study employs Generalized L...