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The potential for labor productivity growth in the context of digital transformation


TERRA ECONOMICUS, , Vol. 18 (no. 4),

Digital transformation permeates all aspects of life. Recent years have shown an increasing growth in the number of studies on the impact of digitalization on industrial and economic development, business environment, employment and labor quality. This article attempts to identify the relationship between increasing labor productivity and indicators that characterize the digital transformation of the economy. Relatively high level of regional differentiation and socio-economic development of territories in Russia makes the digital transformation of production and social processes uneven; the estimates within this study focus on the Federal districts of the Russian Federation. The authors apply macroeconomic analysis of the overall efficiency of the Russian economy (refined by the labor productivity indicators of the Federal districts), statistical and econometric methods for data analysis, and the multiple regression analysis of the selected data sets, including labor productivity indicators and digital economy development indicators from the official data collected by the Federal State Statistics Service of the Russian Federation. Analysis of the Networked Readiness Index, the Global Innovation Index and the Knowledge Economy Index, that demonstrate the significance of the culture of digital services consumption and digital skills training on the national level, shows a significant gap between Russia and the top ten leading countries. The authors emphasize the necessity for statistical monitoring of the current state and the development of digital skills among the population through the system of continuing education, as well as their utilization based on time and spatial factors.
Citation: Borovskaya, M. A., Masych, M. A., Fedosova, T. V. (2020). Reserves for growth of labor productivity in the context of the digital transformation. Terra Economicus, 18(4), 47–66. DOI: 10.18522/2073-6606-2020-18-4-47-66 (In Russian)


Keywords: digital economy; labor productivity growth; parameters of digitalization; Knowledge Economy Index; Networked Readiness Index; digital skills

JEL codes: J24, О47, C13

References:
  • Abdrakhmanova, G. I., Vishnevsky, K. O., Gokhberg, L. M. et al. (2020). Indicators of the digital economy (2020): statistical collection. Moscow: HSE Publishing House, 360 p. (In Russian.)
  • Abramova, N., Grishchenko, N. (2020). ICTs, Labour Productivity and Employment: Sustainability in Industries in Russia. Procedia Manufacturing, (43), 299–305. DOI: 10.1016/j.promfg.2020.02.161
  • Ballestar, M., Díaz-Chao, Á., Sainz, J., Torrent-Sellens, J. (2020). Knowledge, robots and productivity in SMEs: Explaining the second digital wave. Journal of Business Research, (108), 119–131. DOI: 10.1016/j.jbusres.2019.11.017
  • Basaev, Z. V. (2018). Digitalization of the economy: Russia in the context of global transformation. World of the New Economy, 12(4), 32–38. DOI: 10.26794 / 2220-6469-2018-12-4-32-38 (In Russian.)
  • Bufetova, A. N. (2017). Spatial aspects of labor productivity dynamics in Russia. World of Economics and Management, 17(4), 142–57. (In Russian.)
  • Bufetova, A. N. (2019). Research of spatial effects in regional dynamics of labor productivity. Region: Economics and Sociology, (2), 80–100. DOI: 10.15372/REG20190204 (In Russian.)
  • Chung, H. (2018). ICT investment-specific technological change and productivity growth in Korea: Comparison of 1996–2005 and 2006–2015. Telecommunications Policy, (42), 78–90.
  • Elokhov, A. M., Alexandrova, T. V. (2019). Approaches to assessing the results of the digital transformation of the Russian economy. Accounting. Analysis. Audit, 6(5), 24–35. DOI: 10.26794/2408-9303-2019-6-5-24-35 (In Russian.)
  • Eskindarov, M. A., Maslennikov, V. V., Maslennikov, O. V. (2019). Risks and chances of the digital economy in Russia. Finance: theory and practice, 23(5), 6–17. DOI: 10.26794 / 2587-5671-2018-23-5-6-17 (In Russian.)
  • Espinoza, H., Kling, G., McGroarty, F., O’Mahony, M., Ziouvelou, X. (2020). Estimating the impact of the Internet of Things on productivity in Europe. Heliyon, 6(5). DOI: 10.1016/j.heliyon.2020.e03935
  • Faltsman, V. K. (2014). Assessment of the competitiveness of Russian products in the world, in the CIS, EurAsEC and foreign markets. Problems of forecasting, 1(142), 87–98. (In Russian.)
  • Faltsman, V. K. (2016). Problems of structural, investment and innovation policy during the crisis. Problems of Forecasting, 4(157), 14–23. (In Russian.)
  • Fatula, D. (2018). Selected micro- and macroeconomic conditions of wages, income and labor productivity in Poland and other European Union countries original article. Contemporary economics, 12(1), 17–32. DOI: 10.5709/ce.1897-9254.261
  • Fedchenko, A. A. (2016). Methodological approaches to the study of productivity. Labor Economics, 3(1), 41–62. DOI: 10.18334 / FL.3.1.35153 (In Russian.)
  • Geissinger, F., Laurell, Ch., Sandström, Ch., Eriksson, K., Nykvist, R. (2019). Digital entrepreneurship and field conditions for institutional change – Investigating the enabling role of cities. Technological Forecasting and Social Change, (146), 877–886. DOI: 10.1016/j.techfore.2018.06.019
  • Grigoli, F., Koczan, Z., Topalova, P. (2020). Automation and labor force participation in advanced economies: Macro and micro evidence. European Economic Review, (126). DOI: 10.1016/j.euroecorev.2020.103443
  • Gunina, I. A. (2018). Problems of labor productivity growth: theory, methodology, practice. Production Organizer, 26(4). DOI: 10.25987/VOLGSTU.2018.10.81. 003 (In Russian.)
  • Hall, R. E., Jones, C. I. (1999). Why do some countries produce so much more output per worker than others? Q. J. Econ, 114(1), 83–116.
  • Hartwell, C. A., Horvath, R., Horvathova, E., Popova, O. (2019). Democratic institutions, natural resources, and income inequality. Comparative Economic Studies, 61(4), 531–550. DOI: 10.1057/s41294-019-00102-2
  • Kapeliushnikov, R. (2014). Labor productivity versus labor compensation: Some simple arithmetic. Voprosy Ekonomiki, (3), 36–61. DOI: 10.32609/0042-8736-2014-3-36-61 (In Russian.)
  • Kondratiev, V. B., Kurenkov, Yu. V. (2008). Problems of increasing the efficiency of the Russian economy. World economy and international relations, (12), 34–43. (In Russian.)
  • Kudrov, V. M. (2011). International economic comparisons and problems of innovative development. Moscow: Justicinform Publ., 616 p. (In Russian.)
  • Kudrov, V. M. (2013). Exit from the crisis and an innovative model of the economy. Social Sciences and Modernity, (4), 5–15. (In Russian.)
  • Kurt, R. (2019). Industry 4.0 in terms of industrial relations and its impacts on labour life. Procedia Computer Science, (158), 590–601. DOI: 10.1016/j.procs.2019.09.093
  • Kvasnikova, M. A. (2020). Digital inequality and its impact on the socio-economic development of regions in Russia. Socio-political research, (6), 43–58. DOI: 10.20323 / 2658-428X-2020-1-6-43-58 (In Russian.)
  • Litvintseva, G. P., Karelin, I. N. (2020). Effects of digital transformation of the economy and quality of life in Russia. Terra economicus, 18(3), 53–71. DOI: 10.18522/2073-6606-2020-18-3-53-71 (In Russian.)
  • Litvintseva, G. P., Shmakov, A. V., Stukalenko, E. A., and Petrov, S. P. (2019). Digital component of people’s quality of life assessment in the regions of the Russian Federation. Terra Economicus, 17(3), 107–127. DOI: 10.23683/2073-6606-2019-17-3-107-127 (In Russian.)
  • Lobanova, N. M, Altukhova, N. F. (2019). Efficiency of information technologies. Moscow: Yurait Publ.,237 p. (In Russian.)
  • Lobanova, V. A., Trofimova, N. V. (2015). Dynamics of labor productivity: calculation and features in the regions. Izvestiya Saratovskogo universiteta. The Economic Series. Management. Law, 15(2), 125–131. (In Russian.)
  • Malyshkin, N. G., Halimon, E. A. (2018). Analysis of the level of development of the digital economy in Russia. Bulletin of the University, (8), 79–86. (In Russian.)
  • Masych, M. A., Panichkina, M. V. (2017). Trends and patterns of socio-economic development of Russia and foreign countries from the perspective of labor productivity. Scientific and technical statements of SPbGPU. Economic Sciences, (6), 50–63. (In Russian.)
  • Masych, M. A., Panichkina, M. V., Burova, I. V. (2017). Territorial and sectoral aspects of labor productivity in the Russian economy. Scientific notes of the Vernadsky Crimean Federal University. Economics and management, (3), 134–145. (In Russian.)
  • Negroponte, N. (1995). Being Digital. New York: Alfred A. Knopf.
  • Philip, L., Williams, F. (2019). Remote rural home based businesses and digital inequalities: Understanding needs and expectations in a digitally underserved community. Journal of Rural Studies, (68), 306–318. DOI: 10.1016/j.jrurstud.2018.09.011
  • Polterovich, V. (2009). The innovation pause hypothesis and the strategy of modernization. Voprosy Ekonomiki, (6), 4–23. DOI: 10.32609/0042-8736-2009-6-4-23 (In Russian.)
  • Polterovich, V. M. (2007). On Russiaʼs catch-up development strategy. Economic Science of Modern Russia, (3), 17–23. (In Russian.)
  • Polterovich, V. M. (2010). Strategy of Modernization of the Russian economy. St. Petersburg: Aleteia Publ, 424 p. (In Russian.)
  • Popov, V. V. (2011). Strategies of Economic Development. Moscow: HSE Publishing House, 335 p. (In Russian.)
  • Reshetilo, T. V., Chernova, T. V., Oleynikova, I. N., Maksimenko, T. S. (2019). Imperatives of labor productivity growth in the Russian economy. Vestnik of ASTU. Economics Series, (1), 15–28. (In Russian.)
  • Rukobratsky, P. B. (2019). Analysis of factors for increasing labor productivity in the Russian economy. Bulletin of the expert Council, 2(17), 94–105. (In Russian.)
  • Salvatore, D. (2008). Growth, productivity and compensation in the United States and in the other G-7 countries. Journal of Policy Modeling, 30(4), 627–631.
  • Schwab, K. (2018). The fourth industrial revolution. Moscow: “E” Publishing House, 208 p. (In Russian.)
  • Shumilina, V. E., Tsvil, M. M. (2019). Statistical modeling and forecasting of the labor productivity index in the Russian Federation. Bulletin of Eurasian science, (1) (https://esj.today/PDF/63ECVN119.pdf). (In Russian.)
  • Spasskaya, N. V., Kireev, V. E. (2015). Investment aspects of increasing labor productivity in the regions of Russia. Regional economy: theory and practice, (39), 17–29. (In Russian.)
  • Tekic, Z., Koroteev, D. (2019). From disruptively digital to proudly analog: A holistic typology of digital transformation strategies. Business Horizons, 62(6), 683–693. DOI: 10.1016/j.bushor.2019.07.002
  • Verhoef, P., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J., Fabian, N., Haenlein, M. (2019). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, (2). DOI: 10.1016/j.jbusres.2019.09.022
  • Voskoboynikov, I. B., Timmer, M. P. (2014). Is mining fuelling long-run growth in Russia? Industry productivity growth trends since 1995. Review of Income and Wealth, (60), 398–422.
  • Voskoboynikov, I., Gimpelson, V. (2015). Productivity growth, structural change and informality: The case of Russia. Voprosy Ekonomiki, (11), 30–61. DOI: 10.32609/0042-8736-2015-11-30-61 (InRussian.)
Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606