Template-Type: ReDIF-Paper 1.0
Author-Name: Tamas Berki
Author-X-Name-First: Tamas
Author-X-Name-Last: Berki
Author-Email: berkit@mnb.hu
Author-Workplace-Name: Magyar Nemzeti Bank (the Central Bank of Hungary)

Title:ICT Usage Intensity in the Hungarian Corporate Sector: Stylised Facts on Microdata

Abstract: In this paper, we investigate the information and communication technology (ICT) usage patterns of Hungarian companies,
relying on a company-level questionnaire survey conducted in 2020, and combining it with data from corporate annual
reports. Our main objective is to construct an index of ICT usage patterns in the Hungarian business sector that reflects
the digitisation level (ICT usage intensity) of companies and amalgamates into a single indicator the questionnaire survey
information relevant to ICT usage. After aggregating (scoring) the qualitative questionnaire data, we used factor analysis
to identify four distinct areas that are associated with the digitisation levels of the different business functions. These
are the following: area responsible for integrating business functions, e-administration, IT infrastructure, and marketing
and communications. The digitisation headline index is derived from the subindices of these four areas. Our paper also
aims to map the patterns of ICT use by company size, sector, productivity and export activity. The intensity of ICT use
is closely correlated with company size, export activity and productivity. Companies with more employees or higher
productivity tend to be more intensive users of technologies. Firms that also export tend to use ICT more extensively than
non-exporting ones. Technology use varies markedly from sector to sector, both in terms of the range of technologies
used and their sophistication.




Length: 54 pages

Creation-Date: 2024

File-URL: https://www.mnb.hu/letoltes/mnb-op-149-final.pdf

File-Format: Application/pdf
Number: 2024/149
Classification-JEL: C43, C81, L25, O30.
Keywords: use of information and communication technologies, enterprise microdata, questionnaire survey,
composite index, factor analysis.


Handle: RePEc:mnb:opaper:2024/149