Big Data Analytics and Exports—Evidence for Manufacturing Firms from 27 EU Countries
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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in: Open Economies Review, Jahrgang 36, Nr. 3, 07.2025, S. 825-834.
Publikation: Beiträge in Zeitschriften › Zeitschriftenaufsätze › Forschung › begutachtet
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TY - JOUR
T1 - Big Data Analytics and Exports—Evidence for Manufacturing Firms from 27 EU Countries
AU - Wagner, Joachim
N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2025/7
Y1 - 2025/7
N2 - 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.
AB - 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.
KW - Big data analytics
KW - D22
KW - Exports
KW - F14
KW - Firm level data
KW - Flash Eurobarometer 486
KW - Economics
UR - http://www.scopus.com/inward/record.url?scp=85196502522&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/6ce68d7b-4e39-39b7-94c1-9200c92c82a5/
U2 - 10.1007/s11079-024-09777-2
DO - 10.1007/s11079-024-09777-2
M3 - Journal articles
AN - SCOPUS:85196502522
VL - 36
SP - 825
EP - 834
JO - Open Economies Review
JF - Open Economies Review
SN - 0923-7992
IS - 3
ER -