Journal of Applied Economic Research
ISSN 2712-7435
Determinants of the Use of Big Data Technologies by Organizations in Russian Regions
Julia A. Varlamova, Ekaterina I. Kadochnikova
Kazan (Volga Region) Federal University, Kazan, Russia
Abstract
A scientific discussion is unfolding around data as a new factor of production that contributes to the transformation of traditional sectors of the economy, industrial integration, and ensures interregional interaction. At the same time, the question of the relationship with such traditional production factors as labor and capital needs to be answered. The study aims to identify the determinants of organizations' use of Big Data at a regional level. The main hypothesis of the study suggests that the key determinants of organizations' use of big data technologies are digital labor, digital capital and the socio-economic characteristics of regions. In the study we proposed a modified knowledge production function which was tested on open data from the Federal State Statistics Service for 85 regions of Russia in 2021-2022. Panel models were constructed using the method of least squares, generalized feasible least squares. The study presents illustrative material made using cartograms and graphical methods. The results of the study distinguished the spatial heterogeneity in the use of Big Data technologies in Russia's regions and differentiation of the regions by volume of digital capital and digital labor. Panel data models with random effects confirmed the positive impact of digital labor and digital capital on organizations' use of Big Data. Among the socio-economic characteristics of regions as determinants of the use of big data technologies, significant effects were obtained for the share of urban population, gross regional product and share of innovation costs. The study identifies the determinants of the development of the data economy in Russian regions, considering geographic, technological, and economic differentiation. The theoretical significance of the study lies in the proposal of the author's concept of a modified knowledge production function, which can be used as a fundamental basis for the development of the theory of data economics. The practical significance of the study lies in the validity of the value of Big Data, the use of which can help institutions and government authorities find new opportunities for the development of the data economy, taking into account regional differentiation, improving the methodology for monitoring the use of digital technologies by organizations, and identifying the key factors influencing the use of Big Data technologies by organizations.
Keywords
data economics; Big Data; digital economy; regional economics; knowledge production function; panel data models.
JEL classification
O18, O33, R11References
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Acknowledgements
The research was supported by the Russian Science Foundation grant No. 23-28-01290, https://rscf.ru/project/23-28-01290/. The authors would like to express their sincere gratitude to the anonymous reviewers for their comments.
About Authors
Julia Andreyevna Varlamova
Candidate of Economic Sciences, Associate Professor, Institute of Management, Economics and Finance, Kazan (Volga Region) Federal University, Kazan, Russia (420008, Kazan, Kremleyvskaya street, 18); ORCID: https://orcid.org/0000-0003-3255-9880 e-mail: jillmc@yandex.ru
Ekaterina Ivanovna Kadochnikova
Candidate of Economic Sciences, Associate Professor, Institute of Management, Economics and Finance, Kazan (Volga Region) Federal University, Kazan, Russia (420012, Kazan, Butlerova street, 4); ORCID: https://orcid.org/0000-0003-3402-1558 e-mail: kad-ekaterina@yandex.ru
For citation
Varlamova, J.A., Kadochnikova, E.I. (2024). Determinants of the Use of Big Data Technologies by Organizations in Russian Regions. Journal of Applied Economic Research, Vol. 23, No. 2, 422-451. https://doi.org/10.15826/vestnik.2024.23.2.017
Article info
Received February 14, 2024; Revised April 24, 2024; Accepted May 15, 2024.
DOI: https://doi.org/10.15826/vestnik.2024.23.2.017
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