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

被引：71

作者：

Cicerone, Gloria ^{[1
]}

Faggian, Alessandra ^{[1
]}

Montresor, Sandro ^{[1
]}

Rentocchini, Francesco ^{[2
,3
]}

机构：

[1] Gran Sasso Sci Inst GSSI, Laquila, Italy

[2] European Commiss, JRC Seville, Seville, Spain

[3] Univ Milan, Dept Econ Management & Quantitat Methods DEMM, Milan, Italy

来源：

REGIONAL STUDIES | 2023年 / 57卷 / 02期

关键词：

green technologies; artificial intelligence; regional specialization; twin transition; INNOVATION; PROXIMITY; FIRMS;

D O I：

10.1080/00343404.2022.2092610

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页码：330 / 343

页数：14

共 59 条

[1] Patents and innovation counts as measures of regional production of new knowledge [J].