Robots for sustainability: Evaluating ecological footprints in leading AI-driven industrial nations

Lei Liu, Zeeshan Rasool, Sajid Ali, Canghong Wang and Raima Nazar

Technology in Society, 2024, vol. 76, issue C

Abstract: By automating tasks with precision and efficiency, industrial robots help minimize resource utilization and emissions, making them indispensable allies in our quest to minimize our ecological footprint. The core intention of the present article is to scrutinize the impact of industrial robots on the ecological footprint in ten leading industrial artificial intelligence nations (Singapore, South Korea, Japan, Germany, Sweden, Denmark, USA, China, France, and Italy) from 2007 to 2020. Prior investigations have chosen panel data methodologies to detect the association between industrial robots and ecological footprint. Nonetheless, these studies often overlooked the variations in this relationship across different countries. In contrast, this article choses the Quantile-on-Quantile approach to assess this relationship on a country-specific basis. This methodology offers a comprehensive global perspective while delivering tailored insights relevant to each nation. The findings suggest that industrial robots improve environmental quality by decreasing ecological footprint across different data quantiles in chosen nations. The findings also underline that the asymmetries between our variables differ from country to country. These revelations underscore the importance of policymakers carefully assessing and skillfully managing strategies related to both industrial robots and the ecological footprint.

Keywords: Industrial robots; Environmental quality; Ecological footprint; Industrial nations; Quantile estimation (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X24000083
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:teinso:v:76:y:2024:i:c:s0160791x24000083

DOI: 10.1016/j.techsoc.2024.102460

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

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