Journalartikel

The digital layer: alternative data for regional and innovation studies


AutorenlisteAbbasiharofteh, Milad; Krueger, Miriam; Kinne, Jan; Lenz, David; Resch, Bernd

Jahr der Veröffentlichung2023

Seiten507-529

ZeitschriftSpatial Economic Analysis

Bandnummer18

Heftnummer4

ISSN1742-1772

eISSN1742-1780

Open Access StatusHybrid

DOI Linkhttps://doi.org/10.1080/17421772.2023.2193222

VerlagTaylor and Francis Group


Abstract
The lack of large-scale data revealing the interactions among firms has constrained empirical studies. Utilizing relational web data has remained unexplored as a remedy for this data problem. We constructed a Digital Layer by scraping the inter-firm hyperlinks of 600,000 German firms and linked the Digital Layer with several traditional indicators. We showcase the use of this developed dataset by testing whether the Digital Layer data can replicate several theoretically motivated and empirically supported stylized facts. The results show that the intensity and quality of firms' hyperlinks are strongly associated with the innovation capabilities of firms and, to a lesser extent, with hyperlink relations to geographically distant and cognitively close firms. Finally, we discuss the implications of the Digital Layer approach for an evidence-based assessment of sectoral and place-based innovation policies.



Zitierstile

Harvard-ZitierstilAbbasiharofteh, M., Krueger, M., Kinne, J., Lenz, D. and Resch, B. (2023) The digital layer: alternative data for regional and innovation studies, Spatial Economic Analysis, 18(4), pp. 507-529. https://doi.org/10.1080/17421772.2023.2193222

APA-ZitierstilAbbasiharofteh, M., Krueger, M., Kinne, J., Lenz, D., & Resch, B. (2023). The digital layer: alternative data for regional and innovation studies. Spatial Economic Analysis. 18(4), 507-529. https://doi.org/10.1080/17421772.2023.2193222



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