Artificial intelligence, machine learning and big data in natural resources management: a comprehensive bibliometric review of literature spanning 1975–2022

DK Pandey, AI Hunjra, R Bhaskar, MAS Al-Faryan - Resources Policy, 2023 - Elsevier
Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …

Exploring the nexus between monetary uncertainty and volatility in global crude oil: a contemporary approach of regime-switching

M Yu, M Umair, Y Oskenbayev, Z Karabayeva - Resources Policy, 2023 - Elsevier
Understanding the complex relationship between global crude oil market volatility and
monetary uncertainty motivates the study. Understanding crude oil's volatility is crucial …

The protective nature of gold during times of oil price volatility: an analysis of the COVID-19 pandemic

Y Li, M Umair - The Extractive Industries and Society, 2023 - Elsevier
This research explores gold's safe-haven properties amid oil price instability, focusing on the
COVID-19 pandemic. The study examines how gold hedges against oil price swings in the …

[HTML][HTML] Modern DC–DC power converter topologies and hybrid control strategies for maximum power output in sustainable nanogrids and picogrids—a …

A Ganguly, PK Biswas, C Sain, TS Ustun - Technologies, 2023 - mdpi.com
Sustainable energy exhibited immense growth in the last few years. As compared to other
sustainable sources, solar power is proved to be the most feasible source due to some …

How good is green finance for green innovation? Evidence from the Chinese high-carbon sector

L Ma, N Iqbal, E Bouri, Y Zhang - Resources Policy, 2023 - Elsevier
In this study, we examine the impact of green finance on green innovation in the Chinese
high-carbon sector. Utilizing the panel dataset of listed companies in Shenzhen and …

Impact of natural resources and technology on economic development and sustainable environment–Analysis of resources-energy-growth-environment linkages in …

H Kuang, Y Liang, W Zhao, J Cai - Resources Policy, 2023 - Elsevier
To examine the effects of technological advancements and natural resources in the energy-
growth-environment nexus for a panel of BRICS (Brazil, Russia, India, China, and South …

Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality

Y Shang, Q Yang, Y Pu, F Taghizadeh-Hesary - Resources Policy, 2024 - Elsevier
This study collected annual data from 2000 to 2020 for ten polluting industries in China,
investigating the impact of energy efficiency and artificial intelligence on carbon …

Unveiling the role of artificial intelligence in influencing enterprise environmental performance: Evidence from China

K Cheng, Z Jin, G Wu - Journal of Cleaner Production, 2024 - Elsevier
Motivated by the emerging prospects regarding the integration of artificial intelligence (AI)
and cleaner production, we specifically examine the role of AI in affecting enterprises' …

Will artificial intelligence make energy cleaner? Evidence of nonlinearity

CC Lee, J Yan - Applied Energy, 2024 - Elsevier
Energy plays a vital part in stimulating economic progress, and the shift towards a cleaner
energy system is highly significant for ensuring the sustainable development of the …

Adoption of digital innovation for resource efficiency and sustainability in the metal industry

A Rahmani, R Aboojafari, AB Naeini, J Mashayekh - Resources Policy, 2024 - Elsevier
Digital transformation (DT) enables small and medium enterprises (SMEs) in the metal
industry to enhance their resource efficiency and sustainability in a volatile and competitive …