Harnessing artificial intelligence‐driven industrial robotics for sustainability: Insights from leading green economies

Author:

Qing Lingli1,Shahbaz Muhammad23,Meo Muhammad Saeed45,Jamshed Yasir6,Li Likun7

Affiliation:

1. School of Accounting Guangzhou College of Commerce Guangzhou China

2. Department of International Trade and Finance, School of Management and Economics Beijing Institute of Technology Beijing China

3. GUST Center for Sustainable Development (CSD) Gulf University for Science and Technology Hawally Kuwait

4. Sunway Business School Sunway University Sunway City Malaysia

5. Advanced Research Centre European University of Lefke Mersin Turkey

6. Faculty of Commerce & Finance Superior University Lahore Pakistan

7. Anyang Vocational and Technical College Anyang China

Abstract

AbstractIn 2023, global temperatures witnessed an alarming escalation, reaching an unprecedented 1.46°C above preindustrial levels, marking it as the hottest year on record. Simultaneously, atmospheric carbon dioxide surpassed 420 ppm, exceeding a stability maintained for over 6000 years by more than double. This troubling surge in CO2 intensifies global warming, leading to an increased frequency of extreme weather events and contributing to 24% of global deaths attributed to environmental concerns. These alarming environmental challenges demand urgent attention and the implementation of innovative policies. Responding to this imperative, the study examines the impact of artificial intelligence‐based industrial robotics (AIIR) and other control variables such as green energy, green finance, and green energy investment on CO2 emissions in economies supporting green initiatives, including Canada, Denmark, China, Japan, New Zealand, Norway, Sweden, and Switzerland. Using monthly data from 2008 to 2021 and a novel nonlinear autoregressive distributed lag approach, the results indicate that AIIR significantly reduces CO2 emissions in the sample economies. Additionally, green energy, green finance, and green energy investment also significantly decrease CO2 emissions. The study's outcomes bear policy implications for decision‐makers in the sampled economies, offering tangible insights for effective environmental management.

Publisher

Wiley

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