Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/296510 
Autor:innen: 
Erscheinungsjahr: 
2024
Schriftenreihe/Nr.: 
Working Paper Series in Economics No. 428
Verlag: 
Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre, Lüneburg
Zusammenfassung: 
The use of digital technologies like artificial intelligence, robotics, or smart devices can be expected to go hand in hand with higher productivity and lower trade costs, and, therefore, to be positively related to export activities. This paper uses firm level data for manufacturing enterprises from the 27 member countries of the European Union to shed further light on this issue by investigating the link between the digitalization intensity of a firm and extensive margins of exports. Applying a new machine-learning estimator, Kernel-Regularized Least Squares (KRLS), which does not impose any restrictive assumptions for the functional form of the relation between margins of exports, digitalization intensity, and any control variables, we find that firms which use more digital technologies do more often export, do more often export to various destinations all over the world, and do export to more different destinations.
Schlagwörter: 
Digital technologies
exports
firm level data
Flash Eurobarometer 486
kernelregularized least squares (KRLS)
JEL: 
D22
F14
Dokumentart: 
Working Paper

Datei(en):
Datei
Größe
320.01 kB





Publikationen in EconStor sind urheberrechtlich geschützt.