Technological relatedness and industrial transformation: Introduction to the Special Issue

被引:10
作者
Amoroso, Sara [1 ,2 ]
Diodato, Dario [1 ]
Hall, Bronwyn H. [3 ,4 ]
Moncada-Paterno-Castello, Pietro [1 ]
机构
[1] European Commiss, Joint Res Ctr, Seville, Spain
[2] German Inst Econ Res DIW, Berlin, Germany
[3] Univ Calif Berkeley, NBER, Inst Fiscal Studies, Berkeley, CA 94720 USA
[4] Max Planck Inst Munich, Munich, Germany
关键词
technological spillovers; industrial specialization; industrial diversification; new technologies; industrial innovation; INNOVATION;
D O I
10.1007/s10961-022-09941-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article introduces eleven research articles that connect concepts of technological relatedness and diffusion with the transformation of industrial and innovation systems. These studies focus on the role of knowledge spillovers, regional variations in innovation and performance, and the evolution of new technologies, such as green and digital technologies. Regional capabilities and ability to diversify are key in accelerating the transformation process of existing industries Taken all together, these studies suggest that industrial transformation hinge on firms capability to absorb domestic or foreign knowledge, regions capabilities, development trajectories, and their ability to network. In particular, regions capacity to diversify and leverage existing related knowledge are key in accelerating the green and digital transformation process of existing industries.
引用
收藏
页码:469 / 475
页数:7
相关论文
共 27 条
[1]   Unpacking the polarization of workplace skills [J].
Alabdulkareem, Ahmad ;
Frank, Morgan R. ;
Sun, Lijun ;
AlShebli, Bedoor ;
Hidalgo, Cesar ;
Rahwan, Iyad .
SCIENCE ADVANCES, 2018, 4 (07)
[2]  
Antras, 2019, W26539 NBER
[3]   Path Creation as a Process of Resource Alignment and Anchoring: Industry Formation for On-Site Water Recycling in Beijing [J].
Binz, Christian ;
Truffer, Bernhard .
ECONOMIC GEOGRAPHY, 2016, 92 (02) :172-200
[4]  
Boschma R., 2009, Dynamic Geographies of Knowledge Creation and Innovation
[5]   Towards an Evolutionary Perspective on Regional Resilience [J].
Boschma, Ron .
REGIONAL STUDIES, 2015, 49 (05) :733-751
[6]   Relatedness and technological change in cities: the rise and fall of technological knowledge in US metropolitan areas from 1981 to 2010 [J].
Boschma, Ron ;
Balland, Pierre-Alexandre ;
Kogler, Dieter Franz .
INDUSTRIAL AND CORPORATE CHANGE, 2015, 24 (01) :223-250
[7]   The emerging empirics of evolutionary economic geography [J].
Boschma, Ron ;
Frenken, Koen .
JOURNAL OF ECONOMIC GEOGRAPHY, 2011, 11 (02) :295-307
[8]   What Can Machines Learn and What Does It Mean for Occupations and the Economy? [J].
Brynjolfsson, Erik ;
Mitchell, Tom ;
Rock, Daniel .
AEA PAPERS AND PROCEEDINGS, 2018, 108 :43-47
[9]   Innovation and industrial dynamics [J].
Coad, Alex ;
Grassano, Nicola ;
Hall, Bronwyn H. ;
Moncada-Paterno-Castello, Pietro ;
Vezzani, Antonio .
STRUCTURAL CHANGE AND ECONOMIC DYNAMICS, 2019, 50 :126-131
[10]   The geography of Industry 4.0 technologies across European regions [J].
Corradini, Carlo ;
Santini, Erica ;
Vecciolini, Claudia .
REGIONAL STUDIES, 2021, 55 (10-11) :1667-1680