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Regional artificial intelligence and the geography of environmental technologies: does local AI knowledge help regional green-tech specialization?

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  • Gloria Cicerone
  • Alessandra Faggian
  • Sandro Montresor
  • Francesco Rentocchini

Abstract

We investigate the extent to which artificial intelligence (AI) is harnessed by regions for specializing in green technologies. By considering the transformative role that AI is playing in the invention process and connecting it to the regional development of environmental technologies, we examine the relationship between green-revealed technological advantages and local AI for EU-28 (NUTS-3) regions over the period 1982–2017. Results show that AI knowledge favours the green-tech specialization of regions, provided that they were already green-tech specialized in the past. Conversely, AI even reduces this capacity in regions that have not already specialized in green technologies.

Suggested Citation

  • Gloria Cicerone & Alessandra Faggian & Sandro Montresor & Francesco Rentocchini, 2023. "Regional artificial intelligence and the geography of environmental technologies: does local AI knowledge help regional green-tech specialization?," Regional Studies, Taylor & Francis Journals, vol. 57(2), pages 330-343, February.
    • Handle: RePEc:taf:regstd:v:57:y:2023:i:2:p:330-343
    DOI: 10.1080/00343404.2022.2092610
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    Cited by:

    1. Corrocher, Nicoletta & Grabner, Simone Maria & Morrison, Andrea, 2024. "Green technological diversification: The role of international linkages in leaders, followers and catching-up countries," Research Policy, Elsevier, vol. 53(4).
    2. Yugang He, 2024. "Artificial intelligence and socioeconomic forces: transforming the landscape of religion," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    3. Adelia Fatikhova & Fabrizio Fusillo & Sandro Montresor, 2024. "Green-tech transition beyond regional borders: the role of embodied green knowledge flows," Papers in Evolutionary Economic Geography (PEEG) 2413, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised May 2024.
    4. Abbasiharofteh, Milad & Kriesch, Lukas, 2024. "Not all twins are identical: the digital layer of “twin” transition market applications," Papers in Innovation Studies 2024/16, Lund University, CIRCLE - Centre for Innovation Research.
    5. Zhengang Zhang & Peilun Li & Liangxiong Huang & Yichen Kang, 2024. "The impact of artificial intelligence on green transformation of manufacturing enterprises: evidence from China," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-36, August.
    6. Anabela Marques Santos & Francesco Molica & Carlos Torrecilla Salinas, 2024. "EU-funded investment in Artificial Intelligence and regional specialization," GEE Papers 181, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Jul 2024.

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