journal article Aug 27, 2024

Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage

Sustainable Development Vol. 33 No. 1 pp. 1136-1156 · Wiley
Abstract
AbstractThis study explores the impact of artificial intelligence (AI) on sustainable development across 51 countries during urbanization. Using panel data, the study examines AI's effects on sustainable development through three dimensions: R&D innovation, infrastructure, and market advantage. The results demonstrate that AI promotes sustainable development, with AI R&D innovation exerting the strongest influence, followed by AI infrastructure, whereas AI market advantage has the smallest impact. Additionally, the study uncovers regional heterogeneity in AI's impacts. In countries with upper middle sustainable development levels (60%–70% quantiles), AI's promoting effect is the strongest. Moreover, urbanization plays a threshold role in the relationship between AI and sustainable development. When urbanization is below the threshold, AI infrastructure and R&D innovation promote sustainable development, whereas AI market advantage inhibit it. Conversely, when urbanization exceeds this threshold, AI infrastructure inhibits sustainable development, the impact of AI R&D innovation becomes insignificant, and AI market advantage begin to promote sustainable development. This study recommends governments should consider the level of urbanization and sustainable development when crafting sustainable development policies utilizing AI.
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References
85
[2]
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities

Tanveer Ahmad, Dongdong Zhang, Chao Huang et al.

Journal of Cleaner Production 10.1016/j.jclepro.2021.125834
[7]
The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance

Smaïl Benzidia, Naouel Makaoui, Omar Bentahar

Technological Forecasting and Social Change 10.1016/j.techfore.2020.120557
[9]
Scientific evidence on the political impact of the Sustainable Development Goals

Frank Biermann, Thomas Hickmann, Carole-Anne Sénit et al.

Nature Sustainability 10.1038/s41893-022-00909-5
[14]
The social dimension of sustainable development: Defining urban social sustainability

Nicola Dempsey, Glen Bramley, Sinéad Power et al.

Sustainable Development 10.1002/sd.417
[16]
Gallagher K. P. (2012)
[17]
GGGI (2024)
[20]
Artificial intelligence and sustainable development

Margaret A. Goralski, Tay Keong Tan

The International Journal of Management Education 10.1016/j.ijme.2019.100330
[21]
Robots at Work

Georg Graetz, Guy Michaels

Review of Economics and Statistics 10.1162/rest_a_00754
[26]
IFR. (2020).World robotics industrial robot installations database.https://ifr.org/
[29]
Short term water demand forecast modelling using artificial intelligence for smart water management

M Kavya, Aneesh Mathew, Padala Raja Shekar et al.

Sustainable Cities and Society 10.1016/j.scs.2023.104610
[34]
Deploying digitalisation and artificial intelligence in sustainable development research

Walter Leal Filho, Peter Yang, João Henrique Paulino Pires Eustachio et al.

Environment, Development and Sustainability 10.1007/s10668-022-02252-3
[35]
Leamer E. E. (1995)
[39]
Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors

Jun Liu, Huihong Chang, Jeffrey Yi-Lin Forrest et al.

Technological Forecasting and Social Change 10.1016/j.techfore.2020.120142
[41]
Mitlin D. (2014)
[42]
International sanctions and energy poverty in target developing countries

Ghislain Moteng, Chandrashekar Raghutla, Henri Njangang et al.

Energy Policy 10.1016/j.enpol.2023.113629
[44]
Nations U. (2015)

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Details
Published
Aug 27, 2024
Vol/Issue
33(1)
Pages
1136-1156
License
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Funding
National Natural Science Foundation of China Award: 72104246
Cite This Article
Qiang Wang, Fuyu Zhang, Rongrong Li (2024). Artificial intelligence and sustainable development during urbanization: Perspectives on AI R&D innovation, AI infrastructure, and AI market advantage. Sustainable Development, 33(1), 1136-1156. https://doi.org/10.1002/sd.3150