Big data analytics and exports: Evidence for manufacturing firms from 27 EU countries

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: Working Paper Series in Economics ; No. 421

Classification and Topics

• Classification: Wirtschaft ; Firm Behavior: Empirical Analysis ; Empirical Studies of Trade
• Subject: Big data analytics ; exports ; firm level data ; Flash Eurobarometer 486

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Wagner, Joachim
• Event: Veröffentlichung
• (who): Leuphana Universität Lüneburg, Institut für Volkswirtschaftslehre
• (where): Lüneburg
• (when): 2023

Further information

• Handle: http://hdl.handle.net/10419/283390
• Last update: 10.03.2025, 11:42 AM CET