E-commerce development in Russian regions: Spatial clustering research
https://doi.org/10.18184/2079-4665.2025.16.4.710-728
Abstract
Purpose: the article substantiates the expediency of a differentiated approach to the development of online commerce in the regions of the Russian Federation based on their spatial clustering.
Methods: the article applied spatial analysis methods. A preliminary analysis of the variability of e-commerce turnover volume and growth rate per capita in Russian Federation regions was conducted. To assess the general distribution pattern of turnover and its changes by region, global Moran’s spatial autocorrelation indices were calculated. Clusterization and identification of atypical regions were carried out based on local Moran’s spatial autocorrelation indices.
Results: though the variation is steadily decreasing, Russian regions differ in terms of e-commerce turnover per capita. Since 2020, there has been a statistically significant trend toward spatial clustering of regions by turnover. According to the 2023 results, two clusters of regions with positive spatial autocorrelation of average per capita e-commerce turnover were identified. Although spatial patterns in the rate of increase of e-commerce turnover per capita have not been confirmed at the global level, local clusters have been identified.
Conclusions and Relevance: the strengthening role of regions and the existence of global statistically significant spatial patterns and local spatial clusters allow us to conclude that a differentiated approach to the development of regional e-commerce may be rather appropriate. The approach may be considered relevant both for the government, which regulates online commerce and is interested in mitigating regional socio-economic imbalances, and for business entities engaged in trading activities in regional markets.
About the Authors
N. V. Lyasnikov
Central Economics and Mathematics Institute of the Russian Academy of Sciences
Russian Federation
Competing Interests:
Russian Federation
Nikolay V. Lyasnikov, Doctor of Economic Sciences, Professor, Chief Researcher, Laboratory of Modeling the Eurasian Integration, Leading Researcher at the Presidential Academy (RANEPA)
Scopus ID: 56328199200
Moscow
Competing Interests:
The authors declare that there is no Conflict of Interest, including related to the participation of N.V. Lyasnikov in the editorial board of the journal "MIR (Modernization. Innovation. Research)".
E. G. Abramov
Central Economics and Mathematics Institute of the Russian Academy of Sciences
Russian Federation
Competing Interests:
Russian Federation
Egor G. Abramov, Candidate of Economic Sciences, Senior Researcher at the Laboratory of Digital Economy
Scopus ID: 58655617500; Researcher ID: K-2813-2014
Moscow
Competing Interests:
The authors declare that there is no Conflict of Interest, including related to the participation of N.V. Lyasnikov in the editorial board of the journal "MIR (Modernization. Innovation. Research)".
E. A. Mayorova
Plekhanov Russian University of Economics
Russian Federation
Competing Interests:
Russian Federation
Elena A. Mayorova, Candidate of Economic Sciences, Associate Professor, Associate Professor of the Department of Trade Policy
Scopus ID: 56208986700; Researcher ID: H-1698-2016
Moscow
Competing Interests:
The authors declare that there is no Conflict of Interest, including related to the participation of N.V. Lyasnikov in the editorial board of the journal "MIR (Modernization. Innovation. Research)".
References
1. Grebenkina A.M., Kuznetsova M.N., Sinelnikova-Muryleva Е.V. The impact of the development of E-commerce on inflation in Russia. Finance: Theory and Practice. 2023; 27(4):194–205. EDN: https://elibrary.ru/milfjw. https://doi.org/10.26794/2587-5671-2023-27-4-194-205 (In Russ.)
2. Kaluzhsky M.L. Institutionalization of digital trade in the Russian Federation: countdown. Information Society. 2022; (6):59–66. EDN: https://elibrary.ru/apxkzg. https://doi.org/10.52605/16059921_2022_06_59 (In Russ.)
3. Jo Y., Matsumura M., Weinstein D.E. The impact of retail E-commerce on relative prices and consumer welfare. The Review of Economics and Statistics. 2024; 106(6):1675–1689. https://doi.org/10.1162/rest_a_01272 (In Eng.)
4. Pérez-Trujillo M., Torrejón C.A., Calderón M.L. Is E-commerce an opportunity for boosting employment in developing countries? A study for the Chilean case. Asia-Pacific Journal of Regional Science. 2024; 8:1077–1110. https://doi.org/10.1007/s41685-024-00356-4 (In Eng.)
5. Kwon H.U. E-commerce and employment growth in Japan: an empirical analysis based on the establishment and enterprise census. In: Competition, Innovation, and Growth in Japan. Eds. Honjo Y. Springer, Singapore. 2017. Р. 177– 199. https://doi.org/10.1007/978-981-10-3863-1_9 (In Eng.)
6. Mustafaeva S.R. Regional differences in the distribution of internet trade in Russia. Economic sciences. 2024; (232):279– 283. EDN: https://elibrary.ru/liricw. https://doi.org/10.14451/1.232.279 (In Russ.)
7. Olumekor M. Factors influencing regional disparities in online shopping. Digital Sociology. 2024; 7(3):15–23. EDN: https://elibrary.ru/pmyqsh. https://doi.org/10.26425/2658-347X-2024-7-3-15-23 (In Russ.)
8. Sharova I.V. The impact of the E-commerce market on the socio-economic situation in the region. Journal of Economics, Entrepreneurship and Law. 2024; 14(3):799–810. EDN: https://elibrary.ru/ebccqg. https://doi.org/10.18334/epp.14.3.120636 (In Russ.)
9. Revinova S.Yu., Kaisarova T.S. The impact of the digital divide of the Russian Federation regions on the e-commerce expansion. Regional Economics: Theory and Practice. 2023; 21(5(512)):896–927. EDN: https://elibrary.ru/uvafrr. https://doi.org/10.24891/re.21.5.896 (In Russ.)
10. Krasilnikova E.A. Regions-drivers of development for e-commerce in the Russian Federation. Problems of management theory and practice. 2019; (11):22–34. EDN: https://elibrary.ru/yfzxwm. (In Russ.)
11. Bragin L.A., Nikishin A.F., Pankina T.V. Current trends and prospects for the development of the e-commerce market. Ekonomika i upravlenie: problemy, resheniya. 2024; 2(2(143)):157–166. EDN: https://elibrary.ru/ugbgdr. https://doi.org/10.36871/ek.up.p.r.2024.02.02.017 (In Russ.)
12. Fedyunina A.A., Gorodnyi N.A., Simachev Yu.V., Drapkin I.M. How has the COVID-19 pandemic accelerated E-commerce in Russia: evidence from firm-level data with spatial factors. Economy of Regions. 2022; 18(4):988–1002. EDN: https://elibrary.ru/injpbp. https://doi.org/10.17059/ekon.reg.2022-4-2 (In Eng.)
13. Antineskul E.A. Differentiation of Russian territories by the level of digital transformations of food retail in the service sector. Bulletin of the Volga State University of Service. Series: Economy. 2023; 19(1(72)):5–9. EDN: https://elibrary.ru/irwcgh. (In Russ.)
14. Kabanova E.E. Impact of digital transformation on the life of Russian population. Population. 2024; 27(1):48–59. EDN: https://elibrary.ru/pfxtul. https://doi.org/10.24412/1561-7785-2024-1-48-59 (In Russ.)
15. Prokhorov Yu.N., Karashchuk O.S. Retail internet trade in Russia: standing, trends and further development. Vestnik of the Plekhanov Russian University of Economics. 2020; 17(5(113)):196–206. EDN: https://elibrary.ru/fhuoee. https://doi.org/10.21686/2413-2829-2020-5-196-206 (In Russ.)
16. Baysaeva M.U., Shamsadova M.Sh. Trends in the development of the e-commerce market in the regions of the North Caucasus Federal District. Economy and Business: Theory and Practice. 2024; (5-1(111)):22–24. EDN: https://elibrary.ru/sbwzgi. https://doi.org/10.24412/2411-0450-2024-5-1-22-24 (In Russ.)
17. Kipkeeva A.M., Baychorov D.T., Tokbaeva M.I. Development of online commerce in the Karachay-Cherkess Republic: challenges and prospects. Management Accounting. 2024; (7):266–271. EDN: https://elibrary.ru/bsncds (In Russ.)
18. Nadaenko A. Dynamics of internet trade development in Russia. The North and the Market: forming the economic order. 2016; (3(50)):88–95. EDN: https://elibrary.ru/yqdyst (In Russ.)
19. Sadowski A., Lewandowska-Gwarda K., Pisarek-Bartoszewska R., Engelseth Р. A longitudinal study of e-commerce diversity in Europe. Electronic Commerce Research. 2021; 21:169–194. https://doi.org/10.1007/s10660-021-09466-z (In Eng.)
20. Zhang Y., Chen J., Zhang S. Analysis of spatial pattern and influencing factors of e-commerce. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017; XLII-2/W7:1461–1467. https://doi.org/10.5194/isprs-archives-XLII-2-W7-1461-2017 (In Eng.)
21. Timiryanova V.M., Zimin A.F., Zhilina E.V. The spatial change of the indicators of consumer market. Economy of Regions. 2018; 14(1):164–175. EDN: https://elibrary.ru/ywwbrm. https://doi.org/10.17059/2018-1-13 (In Russ.)
22. Needham C., Strugnell C., Orellana L., Allender S., Sacks G., Blake M.R., Horta A. Using spatial analysis to examine inequalities and temporal trends in food retail accessibility. Public Health Nutrition. 2024; 27(1):e222. https://doi.org/10.1017/S1368980024001344 (In Eng.)
23. Kirillov A.M. Spatial analysis of food inflation in Russian regions. Spatial Economics. 2017; (4):41–58. EDN: https://elibrary.ru/zxxwvp. https://doi.org/10.14530/se.2017.4.041-058 (In Russ.)
24. Timiryanova V.M., Lakman I.A., Krasnoselskaya D.Kh., Stol A.V. Dynamics of spatial dependences of prices for vegetables and fruits. Spatial Economics. 2023; 19(2):94–125. EDN: https://elibrary.ru/wefnoq. https://doi.org/10.14530/se.2023.2.094-125 (In Russ.)
25. Wu G., Zhang C., Liu P., Ren W., Zheng Y., Guo F., Chen X., Higgs R. Spatial quantitative analysis of garlic price data based on ArcGIS technology. Computers, Materials and Continua. 2019; 58(1):183–195. https://doi.org/10.32604/cmc.2019.03792 (In Eng.)
26. Lakman I.A., Timiryanova V.M., Popov D.V. Spatial analysis of the relationship between income and consumption of the population based on panel data. Voprosy statistiki. 2021; 28(2):128–139. EDN: https://elibrary.ru/zvwwyv. https://doi.org/10.34023/2313-6383-2021-28-2-128-139 (In Russ.)
27. Yong F. Agglomeration and spatial distribution of e-commerce sector in China: a case study of Jiangsu province. Wireless Communications and Mobile Computing. 2022; 2022(1):7284213. https://doi.org/10.1155/2022/7284213 (In Eng.)
28. Sousa L.T.M., Oliveira I.K., Oliveira L.K., Santos Junior J.L., Bertoncini B.V. Spatial relationship between sociodemographic and retail access data and e-commerce deliveries: the case of Belo Horizonte (Brazil). Transportes. 2023; 31(2):e2820. https://doi.org/10.58922/transportes.v31i2.2820 (In Eng.)
29. Karashchuk O.S., Boldyasov A.I. Differences in the development of domestic trade in the federal districts of Russia. Leasing. 2022; (5):5–17. EDN: https://elibrary.ru/ghnocw. https://doi.org/10.33920/VNE-03-2205-01 (In Russ.)
30. Batrakova L.G. Regional inequality in the socio-economic development of Russia. Social and political researches. 2021; (4(13)):61–84. EDN: https://elibrary.ru/lfwyab. https://doi.org/10.20323/2658-428X-2021-4-13-61-84 (In Russ.)
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For citations:
Lyasnikov N.V., Abramov E.G., Mayorova E.A. E-commerce development in Russian regions: Spatial clustering research. MIR (Modernization. Innovation. Research). 2025;16(4):710-728. (In Russ.) https://doi.org/10.18184/2079-4665.2025.16.4.710-728
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