RuEn

Journal section "Regional economics"

Development of Small and Medium-Sized Enterprises in the Regions of Russia: Cluster Analysis Taking into Account the Economic Development of the Territory

Zakharova K.A., Baburina N.A.

Volume 16, Issue 4, 2023

Zakharova K.A., Baburina N.A. (2023). Development of small and medium-sized enterprises in the regions of Russia: Cluster analysis taking into account the economic development of the territory. Economic and Social Changes: Facts, Trends, Forecast, 16(4), 109–130. DOI: 10.15838/esc.2023.4.88.6

DOI: 10.15838/esc.2023.4.88.6

Abstract   |   Authors   |   References
  1. Ayyagari M., Beck T., Demirguc-Kunt A. (2007). Small and medium enterprises across the globe. Small Business Economics, 29, 415–434. DOI: 10.1007/s11187-006-9002-5
  2. Barinova V.A., Gladkii A.S., Demidova K.V. et al. (2022). Malyi i srednii biznes v regionakh Rossii: trendy, draivery i antikrizisnaya politika: Natsiona’nyi doklad [Small and Medium-Sized Business in Russian Regions: Trends, Drivers and Anti-crisis Policy: National Report]. Moscow: Rossiiskaya akademiya narodnogo khozyaistva i gosudarstvennoi sluzhby pri Prezidente Rossiiskoi Federatsii.
  3. Bekeris R. (2012). The impact of macroeconomic indicators upon SME’s profitability. Ekonomika, 91(3), 117–128. DOI: 10.15388/Ekon.2012.0.883
  4. Božić L., Rajh E. (2016). The factors constraining innovation performance of SMEs in Croatia. Economic Research-Ekonomska Istraživanja, 29(1), 314–324. DOI: 10.1080/1331677X.2016.1168040
  5. Corak M., Heisz A. (1996). Alternative measures of the average duration of unemployment. Review of Income and Wealth, 42, 63–74. DOI: 10.1111/j.1475-4991.1996.tb00146.x
  6. Cui M. (2020). Introduction to the k-means clustering algorithm based on the elbow method. Geoscience and Remote Sensing, 3, 9–16. DOI: 10.23977/geors.2020.030102
  7. Filonova E.S., Bukreeva Yu.V. (2013). Analysis of the situation in central federal district regions based on small- and medium-business companies’ performance. Vestnik Finansovogo universiteta=Bulletin of the Financial University, 6(78), 35–47 (in Russian).
  8. Genc E., Dayan M., Genc O.F. (2019). The impact of SME internationalization on innovation: The mediating role of market and entrepreneurial orientation. Industrial Marketing Management, 82, 253–264. DOI: 10.1016/j.indmarman.2019.01.008
  9. Gherghina Ș.C., Botezatu M.A., Hosszu A., Simionescu L.N. (2020). Small and medium-sized enterprises (SMEs): The engine of economic growth through investments and innovation. Sustainability, 12, 347. DOI: 10.3390/su12010347
  10. Golikova V., Kuznetsov B. (2017). Suboptimal size: Factors preventing the growth of Russian small and medium-sized enterprises. Foresight and STI Governance, 11(3), 83–93. DOI: 10.17323/2500-2597.2017.3.83.93
  11. Haddoud M.Y., Beynon M.J., Jones P., Newbery R. (2018). SMEs’ export propensity in North Africa: A fuzzy c-means cluster analysis. Journal of Small Business and Enterprise Development, 25(5), 769–790. DOI: 10.1108/JSBED-02-2017-0077
  12. Hagen B., Zucchella A., Cerchiello P., De Giovanni N. (2012). International strategy and performance – clustering strategic types of SMEs. International Business Review, 21(3), 369–382. DOI: 10.1016/j.ibusrev.2011.04.002
  13. Ipinnaiye O., Dineen D., Lenihan H. (2017). Drivers of SME performance: A holistic and multivariate approach. Small Business Economics 48, 883–911. DOI: 10.1007/s11187-016-9819-5
  14. Jami Pour M., Asarian M. (2019). Strategic orientations, knowledge management (KM) and business performance: An exploratory study in SMEs using clustering analysis. Kybernetes, 48(9), 1942–1964. DOI: 10.1108/K-05-2018-0277
  15. Kelarev V.V. (2021). Poverty as a phenomenon of the Russian economy and its negative impact on the practical development of small business in the country. Gosudarstvennoe i munitsipal’noe upravlenie. Uchenye zapiski=State and Municipal Management. Scientific Notes, 4, 86–92. DOI: 10.22394/2079-1690-2021-1-4-86-92 (in Russian).
  16. Kremin A.E., Rossoshanskii A.I. (2020). Small business and living standards of the population: Mutual influence and management issues. Ekonomicheskie i sotsial’nye peremeny: fakty, tendentsii, prognoz=Economic and Social Changes: Facts, Trends, Forecast, 13(2), 214–229. DOI: 10.15838/esc.2020.2.68.14 (in Russian).
  17. Kuznetsov Yu.A., Perova V.I. (2020). Dynamics of small business development in Russia in the context of harmonization of state and business strategies. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. Seriya: Sotsial’nye nauki=Vestnik of Lobachevsky State University of Nizhni Novgorod, 1(57), 28–36 (in Russian).
  18. Kuznetsova O.V. (2021) The economy of Russian regions in a pandemic: Do resilience factors work? Regional’nye issledovaniya, 3(73), 76–87. DOI: 10.5922/1994-5280-2021-3-7 (in Russian).
  19. Leitne K., Guldenberg S. (2010). Generic strategies and firm performance in SMEs: A longitudinal study of Austrian SMEs. Small Business Economy, 35, 169–189. DOI: 10.1007/s11187-009-9239-x
  20. Levushkina S.V. (2015). Systematic approach to the implementation chronotopic cluster analysis of development of small and medium business. Fundamental’nye issledovaniya=Fundamental Research, 5–4, 753–757 (in Russian).
  21. Li Y., Huang J., Tsai M. (2009). Entrepreneurial orientation and firm performance: The role of knowledge creation process. Industrial Marketing Management, 38, 440–449. DOI: 10.1016/j.indmarman.2008.02.004
  22. Lorentz H., Hilmola O.-P., Malmsten J., Srai J.S. (2016). Cluster analysis application for understanding SME manufacturing strategies. Expert Systems with Applications, 66, 176–188. DOI: 10.1016/j.eswa.2016.09.016
  23. Luk’yanova A.L., Oshchepkov A.Yu. (2007). Functioning of regional labor markets: wages and unemployment. In: Sotsial’naya politika: realii XXI veka. Vyp. 3 [Social Policy: Realities of the 21st century. Volume 3.]. Moscow: Nezavisimyi institut sotsial’noi politiki (in Russian).
  24. MacQueen J.B. (1967). Some methods for classification and analysis of multivariate observations. In: Proceedings of 5-th Berkeley Symposium on Mathematical Statistics and Probability. Berkeley: University of California Press.
  25. Mazzarol T., Volery T., Doss N., Thein V. (1999). Factors influencing small business start‐ups: A comparison with previous research. International Journal of Entrepreneurial Behavior & Research, 5(2), 48–63. DOI: 10.1108/13552559910274499
  26. Nanavyan A.M. (2012). Estimation of unemployment flows and long-term unemployment on the Russian labor market. Natsional’nye interesy: prioritety i bezopasnost’=National Interests: Priority and Security, 42, 44–50 (in Russian).
  27. Obraztsova O.I., Chepurenko A.Yu. (2020). Entrepreneurial activity in Russia and its cross-regional differences. Zhurnal Novoi ekonomicheskoi assotsiatsii=Journal of the New Economic Association, 2(46), 198–210. DOI: 10.31737/2221-2264-2020-46-2-12 (in Russian).
  28. Obraztsova O.I., Popovskaya E.V. (2017). An essay of the multidimensional statistical methods to characterize the entrepreneurial context in Russian regions. Sotsiologicheskie issledovaniya=Sociological Studies, 4(396), 93–106 (in Russian).
  29. Pinkovetskaya Yu.S. (2014). Small and medium entrepreneurship in the Russian Federation: Regularities of spatial distribution. Vestnik UrFU. Seriya: Ekonomika i upravlenie, 1, 27–36 (in Russian).
  30. Pinkovetskaya Yu.S. (2018). Factors influencing small and medium enterprises turnover: Evaluation of Russian regions data. Ars Administrandi. Iskusstvo upravleniya=Ars Administrandi. The Art of Governance, 10(2), 199–216. DOI: 10.17072/2218-9173-2018-2-199-216 (in Russian).
  31. Punj G., Stewart D.W. (1983). Cluster analysis in marketing research: Review and suggestions for application. Journal of Marketing Research, 20(2), 134–148. DOI: 10.1177/002224378302000204
  32. Shpak A.S., Shatalova A.S., Sal’nikov K.N. (2019) Evaluation of small business development in the Far Eastern federal district. Fundamental’nye issledovaniya=Fundamental Research, 12-1, 211–217. DOI: 10.17513/fr.42650 (in Russian).
  33. Sibirskaya E.V., Ivanov H., Sheremet N.G. (2016). Cluster analysis of small and middle business in the regions of Russia. Srednerusskii vestnik obshchestvennykh nauk=Central Russian Journal of Social Sciences, 4, 127–135. DOI: 10.12737/21327 (in Russian).
  34. Smirnov V.V. (2021). The content analysis of regional entrepreneurship. Natsional’nye interesy: prioritety i bezopasnost’=National Interests: Priorities and Security, 17, 3(396), 556–584. DOI: 10.24891/ni.17.3.556 (in Russian).
  35. Storey D.J. (1991). The birth of new firms? Does unemployment matter? A review of the evidence. Small Business Economics, 3(3), 167–178. DOI: 10.1007/bf00400022
  36. Sukhanova E.I., Shirnaeva S.Yu., Konstantinova E.O. (2019). Statistical analysis and modeling of the influence of socio-economic factors on the level of small business development in the regions of the Russian Federation. Fundamental’nye issledovaniya=Fundamental Research, 5, 126–132 (in Russian).
  37. Sun L., Chen G., Xiong H., Guo С. (2017) Cluster analysis in data‐driven management and decisions. Journal of Management Science and Engineering, 2(4), 227–251. DOI: 10.3724/SP.J.1383.204011
  38. Surya B., Menne F., Sabhan H. et al. (2021). Economic growth, increasing productivity of SMEs, and open innovation. Journal of Open Innovation: Technology, Market, and Complexity, 7(1), 20. DOI: 10.3390/joitmc7010020
  39. Tambunan T. (2008). SME development, economic growth, and government intervention in a developing country: The Indonesian story. Journal of International Entrepreneurship, 6, 147–167. DOI: 10.1007/s10843-008-0025-7
  40. Tambunan T.T.H. (2009). SME development pattern: A theoretical consideration. In: SMEs in Asian Developing Countries. London: Palgrave Macmillan. DOI: 10.1057/9780230250949_2
  41. Tarunina E.N., Mavrina E.O. (2015). Level of economic development as a factor of early entrepreneurial activity. Vestnik Nizhegorodskogo universiteta im. N.I. Lobachevskogo. Seriya: Sotsial’nye nauki=Vestnik of Lobachevsky State University of Nizhni Novgorod. Series: Social Sciences, 2(38), 9–17 (in Russian).
  42. Toomsalu L., Tolmacheva S., Vlasov A., Chernova V. (2019). Determinants of innovations in small and medium enterprises: A European and international experience. Terra Economicus, 17(2), 112–123. DOI: 10.23683/2073-6606-2019-17-2-112-123
  43. Ward J.H. (1963). Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association, 58(301), 236¬–244. DOI: 10.1080/01621459.1963.10500845
  44. Yuan C., Yang H. (2019). Research on k-value selection method of k-means clustering algorithm. J – Multidisciplinary Scientific Journal, 2(2), 226–235. DOI: 10.3390/j2020016
  45. Zemtsov S.P. (2016). Typology of Russian regions for development purposes of small and medium-size business. Gosudarstvennoe i munitsipal’noe upravlenie. Uchenye zapiski=State and Municipal Management. Scientific Notes, 4, 99–102 (in Russian).
  46. Zemtsov S.P. (2020). Institutes, entrepreneurship, and regional development in Russia. Zhurnal Novoi ekonomicheskoi assotsiatsii=Journal of the New Economic Association, 46(2), 168–180. DOI: 10.31737/2221-2264-2020-46-2-9 (in Russian).
  47. Zemtsov S.P., Mikhailov A.A. (2021). Trends and factors of development of small and medium-sized businesses in Russian regions during corona crisis. Ekonomicheskoe razvitie Rossii=Russian Economic Development, 28(4), 34–45 (in Russian).
  48. Zhou B. (2016). Lean principles, practices, and impacts: A study on small and medium-sized enterprises (SMEs). Annals of Operations Research, 241, 457–474. DOI: 10.1007/s10479-012-1177-3

View full article