Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/283390 
Authors: 
Year of Publication: 
2023
Series/Report no.: 
Working Paper Series in Economics No. 421
Publisher: 
Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre, Lüneburg
Abstract: 
The use of big data analytics (including data mining and predictive analytics) by firms can be expected to increase productivity and reduce trade costs, which should be positively related to export activities. This paper uses firm level data from the Flash Eurobarometer 486 survey conducted in February - May 2020 to investigate the link between the use of big data analytics and export activities in manufacturing enterprises from the 27 member countries of the European Union. We find that firms which use big data analytics do more often export, do more often export to various destinations all over the world, and do export to more different destinations. The estimated big data analytics premia for exports are statistically highly significant after controlling for firm size, firm age, patents, and country. Furthermore, the size of these premia can be considered to be large. Successful exporters tend to use big data analytics.
Subjects: 
Big data analytics
exports
firm level data
Flash Eurobarometer 486
JEL: 
D22
F14
Document Type: 
Working Paper

Files in This Item:
File
Size
314.53 kB





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.