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

被引：54
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
收藏
页码：330 / 343
页数：14
相关论文
共 59 条
  • [31] PATENT STATISTICS AS ECONOMIC INDICATORS - A SURVEY
    GRILICHES, Z
    [J]. JOURNAL OF ECONOMIC LITERATURE, 1990, 28 (04) : 1661 - 1707
  • [32] Hall A.B., 2000, MARKET VALUE PATENT
  • [33] Hall Dame Wendy, 2017, Growing the artificial intelligence industry in the UK
  • [34] The dark side of the sun: solar e-waste and environmental upgrading in the off-grid solar PV value chain
    Hansen, Ulrich Elmer
    Nygaard, Ivan
    Dal Maso, Mirko
    [J]. INDUSTRY AND INNOVATION, 2021, 28 (01) : 58 - 78
  • [35] Hascic I., 2015, MEASURING ENV INNOVA, DOI DOI 10.1787/5JS009KF48XW-EN
  • [36] Herweijer C., 2018, 4 IND REVOLUTION EAR
  • [37] Regional load forecasting in Taiwan - applications of artificial neural networks
    Hsu, CC
    Chen, CY
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2003, 44 (12) : 1941 - 1949
  • [38] Klein M., 2021, ENCY ARTIFICIAL INTE
  • [39] Mapping Knowledge Space and Technological Relatedness in US Cities
    Kogler, Dieter F.
    Rigby, David L.
    Tucker, Isaac
    [J]. EUROPEAN PLANNING STUDIES, 2013, 21 (09) : 1374 - 1391
  • [40] Does a local knowledge base in Industry 3.0 foster diversification in Industry 4.0 technologies? Evidence from European regions
    Laffi, Matteo
    Boschma, Ron
    [J]. PAPERS IN REGIONAL SCIENCE, 2022, 101 (01) : 5 - 35
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