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.

Regional artificial intelligence and the geography of environmental technologies: does local AI knowledge help regional green-tech specialization? / Cicerone, Gloria; Faggian, Alessandra; Montresor, Sandro; Rentocchini, Francesco. - In: REGIONAL STUDIES. - ISSN 0034-3404. - 57:2(2023), pp. 330-343. [10.1080/00343404.2022.2092610]

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

Sandro Montresor;
2023-01-01

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.
2023
2
Cicerone, Gloria; Faggian, Alessandra; Montresor, Sandro; Rentocchini, Francesco
Regional artificial intelligence and the geography of environmental technologies: does local AI knowledge help regional green-tech specialization? / Cicerone, Gloria; Faggian, Alessandra; Montresor, Sandro; Rentocchini, Francesco. - In: REGIONAL STUDIES. - ISSN 0034-3404. - 57:2(2023), pp. 330-343. [10.1080/00343404.2022.2092610]
File in questo prodotto:
File Dimensione Formato  
Regional_Studies_2023_57(2)_330-343.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 1.74 MB
Formato Adobe PDF
1.74 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/407090
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 26
  • ???jsp.display-item.citation.isi??? 25
social impact