Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality

Yunfeng Shang, Qin Yang, Yuanjie Pu and Farhad Taghizadeh-Hesary

Resources Policy, 2024, vol. 88, issue C

Abstract: 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 neutralization. The findings indicate that increased industrial robot installation facilitates short-term and long-term carbon neutralization. In addition, an increase in energy efficiency facilitates short-term and long-term carbon neutralization. Investing in artificial intelligence (AI) and robotic technologies to boost carbon neutralization is recommended. Key practical recommendations from this research include promoting sustainable AI, investing in green technologies, and hiring a green-minded, skilled workforce.

Keywords: Resource utilization; Resource efficiency; Carbon neutralization; Artificial intelligence; Sustainable robot (search for similar items in EconPapers)
JEL-codes: C23 D61 Q30 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0301420723012217
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723012217

DOI: 10.1016/j.resourpol.2023.104510

Access Statistics for this article

Resources Policy is currently edited by R. G. Eggert

More articles in Resources Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().