| Title |
The emergence of a 'twin transition' scientific knowledge base in the European regions |
| ID_Doc |
61857 |
| Authors |
Damioli, G; Bianchini, S; Ghisetti, C |
| Title |
The emergence of a 'twin transition' scientific knowledge base in the European regions |
| Year |
2024 |
| Published |
|
| DOI |
10.1080/00343404.2024.2355998 |
| Abstract |
This study reveals both the spatial and the combinatory patterns of the digital and green scientific knowledge bases for the creation of new knowledge in the domain of the so-called 'twin transition'. The recent and rapid diffusion of this twin scientific knowledge in the European regions has not adhered to clearly defined spatial patterns and has been characterised by a dynamic process of actor reconfiguration. However, regions with a strong green and digital science base have a greater propensity to produce more, better quality and more visible twin knowledge. Among the most prevalent twin knowledge fields emerging today are artificial intelligence (AI)- and Internet of Things (IoT)-powered applications for energy storage, distribution and consumption; environmental monitoring and modelling; and urban planning. |
| Author Keywords |
twin transition; scientific knowledge; digital ecosystem; environmental innovation; O3; Q55 |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:001247754300001 |
| WoS Category |
Economics; Environmental Studies; Geography; Regional & Urban Planning |
| Research Area |
Business & Economics; Environmental Sciences & Ecology; Geography; Public Administration |
| PDF |
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