Climate Change Data Portal
DOI | 10.1016/j.resourpol.2024.104793 |
Balancing sustainability and innovation: The role of artificial intelligence in shaping mining practices for sustainable mining development | |
Liang, Guangqi; Liang, Yi; Niu, Dongxiao; Shaheen, Musarat | |
发表日期 | 2024 |
ISSN | 0301-4207 |
EISSN | 1873-7641 |
起始页码 | 90 |
卷号 | 90 |
英文摘要 | Attaining sustainable development involves a mounting role in modern innovations especially in the mining industry. It is anticipated that the world's need for minerals will increase extensively. The research is of paramount significance as it scrutinizes how artificial intelligence can act as a central force in balancing sustainability and innovation within the mining industry for China over the period 1960 to 2022. In this regard, it paves the way for sustainable mining development and the resolution of pressing environmental and social issues. The finding of (ADF) Augmented Dickey-Fuller & Phillips Perron (PP) unit root tests advocate that variables follows order of integration 1 & (ARDL) bound test of Autoregressive Distributed Lag and Nonlinear Autoregressive Distributed Lag (NARDL) approve a long-term association between concerned variables. The ARDL and Fully Modified Ordinary Least Squares (FMOLS) results depict that the coefficient of artificial intelligence has a positive and substantial impact on mining sustainability in both the short-run (SR) and long-run (LR). Additionally, the outcomes of NARDL reveal that there lies an asymmetric LR relationship between artificial intelligence and mining sustainability. Additionally, the impact of economic growth, climate change, and political stability on mining sustainability has been examined. Based on the findings, it is proposed that incentives should be given to mining companies for investment and adoption of artificial intelligence-related activities and implement such policies that enhance transparency and accountability in the mining sector to attain sustainability, efficiency, and reduction in the social and environmental costs of various mining activities. |
英文关键词 | Mineral policy; ARDL; Artificial intelligence; Mining sustainability; NARDL; Mining development |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology |
WOS类目 | Environmental Studies |
WOS记录号 | WOS:001196443100001 |
来源期刊 | RESOURCES POLICY |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/289570 |
作者单位 | North China Electric Power University; Hebei GEO University; Hebei GEO University; Universite de Montreal; HEC Montreal |
推荐引用方式 GB/T 7714 | Liang, Guangqi,Liang, Yi,Niu, Dongxiao,et al. Balancing sustainability and innovation: The role of artificial intelligence in shaping mining practices for sustainable mining development[J],2024,90. |
APA | Liang, Guangqi,Liang, Yi,Niu, Dongxiao,&Shaheen, Musarat.(2024).Balancing sustainability and innovation: The role of artificial intelligence in shaping mining practices for sustainable mining development.RESOURCES POLICY,90. |
MLA | Liang, Guangqi,et al."Balancing sustainability and innovation: The role of artificial intelligence in shaping mining practices for sustainable mining development".RESOURCES POLICY 90(2024). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。