Some approaches to evaluation macroeconomic efficiency of digitalisation
Abstract
Purpose – the purpose of the article is to study the effect of digitalisation development indicators on per-capita GDP growth.
Research methodology – the basic research method is the fixed-effects panel regression that describes the effect of the digitalisation development indicators on per-capita GDP between 1999 and 2017.
Findings – research showed the most critical factors for per-capita GDP growth are the ones that linked with fixed and mobile subscriptions.
Research limitations – The limitations of the research stem from the limitations of analysis as the method that has been employed makes it possible to measure the effect of the selected variables on per-capita GDP, but further research requires a detailed analysis of the factors being studied in application to each country.
Practical implications – The findings can be used as a basis for choosing areas of more detailed factor analysis of the digitalisation process effectiveness and can support investment decision-making.
Originality/Value – The study enables one to identify the most and the least important factors that are reflected by digitalisation indicators that have an impact on the per-capita GDP.
Keyword : digitalisation, Industry 4.0, new industrialisation, high technology exports ICT technologies
How to Cite
Stremousova, E., & Buchinskaia, O. (2019). Some approaches to evaluation macroeconomic efficiency of digitalisation. Business, Management and Economics Engineering, 17(2), 232-247. https://doi.org/10.3846/bme.2019.11326
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Biggs, P. (2017). The State of Broadband 2017: Broadband Catalyzing Sustainable Development. Broadband Commission. Retrieved from https://www.itu.int/dms_pub/itu-s/opb/pol/S-POLBROADBAND.18-2017-PDF-E.pdf
Biryukova, O. V., & Matyukhina, A. I. (2016). BRICS countries in the global ICT services market. Latin America, 9, 41-54.
Cetrulo, A., & Nuvolari, A. J. (2019). Industry 4.0: revolution or hype? Reassessing recent technological trends and their impact on labour. Journal of Industrial and Business Economics, 46(3), 391-402. https://doi.org/10.1007/s40812-019-00132-y
Chakravorti, B., Tunnard, C., & Chaturvedi, R. (2017). Where the digital economy is moving the fastest. Retrieved from https://hbr.org/2015/02/where-the-digital-economy-is-moving-the-fastest
Davidavičienė, V., Paliulis, N. K., Sabaitytė, J., & Davidavičius, S. (2016). Analysis of Lithuania e-commerce situation. In EU and its Eastern Neighborhood: Fostering deeper Europeanization of Moldova. Moldova: Jean Monnet Publication.
Dobrota, M., Jeremic, V., & Markovic, A. (2012). A new perspective on the ICT Development Index. Information Development, 28(4), 271-280. https://doi.org/10.1177/0266666912446497
Evangelista, R., Guerrieri, P., & Meliciani, V. (2014). The economic impact of digital technologies in Europe. Economics of Innovation and New Technology, 23(8) 802-824. https://doi.org/10.1080/10438599.2014.918438
Grewal, R., Chakravarty, A., & Saini, A. (2010). Governance mechanisms in business-to-business electronic markets. Journal of Marketing. https://doi.org/10.1509/jmkg.74.4.45
Hirsch-Kreinsen, H. (2016). Digitization of industrial work: Development paths and prospects. Journal for Labour Market Research, 49(1), 1-14. https://doi.org/10.1007/s12651-016-0200-6
Karnitis G., Virtmanis, A., & Karnitis, E. (2019). Key drivers of digitalisation; EU context and Baltic Case. Baltic Journal of Modern Computing, 7(1), 70-85. https://doi.org/10.22364/bjmc.2019.7.1.06
Kapranova, L. D. (2018). The digital economy in Russia: its state and prospects of development. Economics, Taxes & Law, 11(2), 58-69. https://doi.org/10.26794/1999-849X-2018-11-2-58-69
Kefela, G.T. (2010). Knowledge-based economy and society has become a vital commodity to countries. International NGO Journal, 5(7), 160-166.
Klímová, B., Poulová, P., Šimonová, I., Pražák, P., & Cierniak-Emerych, A. (2018). Internet use by the older adults in the Czech Republic. E M Ekonomie a Management, 21(3), 220-232. https://doi.org/10.15240/tul/001/2018-3-014
Koroivuki, I. (2018). ICT indicators and the IDI. International Telecommunication Union. Retrieved from https://www.unescap.org/sites/default/files/ICT%20indicators%20and%20the%20IDI%2C%20ITU.pdf
Kovacs, O. (2018). The dark corners of industry 4.0 – Grounding economic governance 2.0. Technology in Society, 55, 140-145. https://doi.org/10.1016/j.techsoc.2018.07.009
Kravchenko, N. A., Bobylev, G. V., Valieva, O. V., & Fedorov, A. A. (2013). Competitiveness on the basis of innovation: the international position of Russia. Studies on Russian Economic Development, 24(5), 461-469. https://doi.org/10.1134/s1075700713050080
Kunešová, H., & Eger, L. (2017). Evaluation and comparison of B2C e-commerce intensity in EU member states. E M Ekonomie a Management, 20(4), 151-167. https://doi.org/10.15240/tul/001/2017-4-011
Loh, Y. A.-C., Chib, A. (2019). Tackling social inequality in development: beyond access to appropriation of ICTs for employability. Information Technology for Development, 25(3), 532-551. https://doi.org/10.1080/02681102.2018.1520190
Negroponte, N. (1995). Being digital. New York: Alfred A. Knopf.
Pfeiffer, S. (2017). The vision of “Industrie 4.0” in the making – a case of future told, tamed, and traded. NanoEthics, 11(1), 107-121. https://doi.org/10.1007/s11569-016-0280-3
Polozhikhina, M. A. (2018). The digital economy as a socio-economic phenomenon. Economic and Social Problems of Russia, 37(1), 8-38.
Porokhovskiy, A. (2019). Digitalisation and productivity. USA & Canada: ekonomika, politika, kultura, 49(8), 5-24. https://doi.org/10.31857/S032120680005964-4
Raudeliūnienė, J., Davidavičienė, V., Tvaronavičienė, M., & Radeckytė, V. (2018). A study of success factors of women’s leadership in e-commerce. Terra Economicus, 16(3), 131-149.
Richmond, K., & Triplett, R. E. (2018). ICT and income inequality: a cross-national perspective. International Review of Applied Economics, 32(2), 195-214. https://doi.org/10.1080/02692171.2017.1338677
Sabaityte, J., & Davidavichiene, V. (2018). The analysis of internet marketing research direction. Marketing and Digital Technologies, 2(1), 7-20. https://doi.org/10.15276/mdt.2.1.2018.1
Schwab, K. (2017). The fourth industrial revolution. New York: Crown Business.
Stepaniuk, K. (2017). Blog content management in shaping pro recreational attitudes. Journal of Business Economics and Management, 18(1), 146-162. https://doi.org/10.3846/16111699.2017.1280693
Stremousova, E. G., & Buchinskaia, O. N. (2018, September 6-8). Socio-economic contradictions of the sixth technological mode. In 12th International Days of Statistics and Economics, Prague, Czech Republic. Retrieved from https://msed.vse.cz/msed_2018/article/83-Stremousova-Elena-paper.pdf
Strohmaier, R., Schuetz, M., & Vannuccini, S. (2019). A systemic perspective on socioeconomic transformation in the digital age. Journal of Industrial and Business Economics, 46(3), 361-378. https://doi.org/10.1007/s40812-019-00124-y
Tapscott, D. (1995). The digital economy: Promise and peril in the age of networked intelligence. McGraw-Hill.
Tapscott, D. (2014). The digital economy anniversary edition: Rethinking promise and peril in the age of networked intelligence. McGraw-Hill.
Watanabe, C., Tou, Y., & Neittaanmäki, P. (2018). A new paradox of the digital economy – Structural sources of the limitation of GDP statistics. Technology in Society, 55, 9-23. https://doi.org/10.1016/j.techsoc.2018.05.004
World Bank. (2019). World development indicators. Retrieved from https://databank.worldbank.org/data/reports.aspx?source=world-development-indicators
Yakunina, R. P., & Bychkov, G. A. (2015). Correlation analysis of the components of the human development index across countries. Procedia Economics and Finance, 24, 766-771. https://doi.org/10.1016/S2212-5671(15)00692-9