Contents |
Authors:
Jorune Jazdauskaite, Klaipeda University Magdalena Prívarova, ORCID: https://orcid.org/0000-0003-2884-9690 University of Economics in Bratislava (Slovak Republic) Edita Baranskaite, Klaipeda University (Lithuania) Vytautas Juscius, Klaipeda University (Lithuania) Nikoletta Kelemen-Henyel, Hungarian University of Agriculture and Life Sciences (Hungary)
Pages: 153-167
Language: English
DOI: https://doi.org/10.21272/mmi.2021.4-12
Received: 10.06.2021
Accepted: 20.11.2021
Published: 30.12.2021
Download: |
Views: |
Downloads: |
|
|
|
Abstract
Science and technology have led to economic growth for more than 250 years. Three industrial revolutions were observed during this period. New technologies are still rapidly developed every day. Robots, various algorithms, 3D printing, artificial intelligence, software help people perform various tasks. The dissemination of information is digitized. Science and technology are seen as a tool of economic progress. Science and technology are composed of research and experimental development, social innovation research, high technology, and human resources in science and technology. Each of these components is linked to economic impact. One of the affected areas is the labor market. The labor market as a macroeconomic factor is described through employment and unemployment. Science and technology affect it, but the direction of impact is widely questioned. On the one hand, disseminating and implementing science and technology requires constant updating of knowledge. It could lead to widespread technological unemployment, as many people may lose their jobs due to automated jobs. On the other hand, the latest technologies could also lead to new businesses or new sectors and new jobs or professions. With the implementation of scientific technologies, the nature of work is changing. There is a need for specialists with higher qualifications, new knowledge. Such discussion reveals the lack of research that evaluates the impact of science and technology on the labor market. For revealing the impact of science and technology on the labor market, the analysis of Lithuanian statistical data and economic indicators was performed in the data collection process. The study involved correlation and regression analyses to evaluate the results. Correlation and regression analyses revealed that science and technology positively affect the growth of the country’s employment rate and monthly wages (gross) and the decrease in the unemployment rate.
Keywords: science, technology, economic, impact, labor market.
JEL Classification: J0, J19.
Cite as: Jazdauskaite, J., Privarova, M., Baranskaite, E., Juscius, V., & Kelemen-Henyel, N. (2021). Evaluation of the impact of science and technology on the labour market. Marketing and Management of Innovations, 4, 153-167. https://doi.org/10.21272/mmi.2021.4-12
This work is licensed under a Creative Commons Attribution 4.0 International License
References
- Afonso, O. (2016). R&D intensity, economic growth and firm-size growth: theory and practice. Applied Economics, 48(32), 2973-2993. [Google Scholar] [CrossRef]
- Bekesiene, S. (2015). Duomenų analizes SPSS pagrindai: mokomoji knyga. Vilnius: Generolo Jono Zemaicio Lietuvos karo akademija. [Google Scholar]
- Bilan, S., Mishchuk, H., Samoliuk, N., & Ostasz, G. (2020). Effectiveness of social dialogue in the system of sustainable economic development factors. In Proceedings of the 34th International Business Information Management Association Conference, IBIMA (pp. 13303-13313). [Google Scholar]
- Bite, P., Szombathelyi, M. K., & Vasa, L. (2020). The concept of labour migration from the perspective of Central and Eastern Europe. Economics & Sociology, 13(1), 197-216. [Google Scholar]
- Cangia, F. (2019). “Switzerland Doesn’t Want Me”-Work, Precarity and Emotions for Mobile Professionals’ Partners. Migration Letters, 16(2), 207-217. [Google Scholar]
- Cekanavicius, V., & Murauskas, G. (2014). Taikomoji regresine analize socialiniuose tyrimuose, Vilniaus universiteto leidykla, 561 p.
- Chiacchio, F., Petropoulos, G., & Pichler, D. (2018). The impact of industrial robots on EU employment and wages: A local labour market approach. Bruegel Working Paper, 1(2), 1-33. [Google Scholar]
- Chinoracký, R., & Corejova, T. (2019). Impact of digital technologies on labor market and the transport sector. Transportation research procedia, 40, 994-1001. [Google Scholar] [CrossRef]
- Dachs, B. (2017). The impact of new technologies on the labour market and the social economy (No. 90519). University Library of Munich, Germany. [Google Scholar]
- De Groen, W. P., & Maselli, I. (2016). The Impact of the Collaborative Economy on the Labour Market (No. 11625). Centre for European Policy Studies. [Google Scholar]
- Donate, M. J., & Guadamillas, F. (2011). Organizational factors to support knowledge management and innovation. Journal of Knowledge Management, 15(6), 890-914. [Google Scholar][CrossRef]
- Dudu, S. (2021). Effects of Migration Experience on Labour Income in Turkey. Migration Letters, 18(5), 591-600. [Google Scholar]
- Fedaraviciute, K. (2008). Mokslinių tyrimų ir eksperimentines pletros efektyvumas ir įtaka ekonomikos raidai Europos Sąjungos salyse (Doctoral dissertation, Vytautas Magnus University). [Google Scholar]
- Gataulinas, A. (2015). Dirbanciųjų skurdas Lietuvoje ES kontekste: socialines, ekonomines ir demografines priezastys. Lietuvos socialine raida: Uzimtumo politikos ir socialines pagalbos įtaka socialinei stratifikacijai, 75-87. [Google Scholar]
- Gedviliene, G., & Kankeviciene, L. (2014). Informacines visuomenes technologijos ir jų kaita svietimo sistemoje. Versus aureus. [Google Scholar]
- Gervyte, A. (2009). Lietuvos darbo rinka. Mikroekonomine analyze (Doctoral dissertation, Mykolas Romeris University). [Google Scholar]
- Gulbiniene, N., Jankauskiene, A., & Sileikaite, G. (2011). Darbo rinkos pletros galimybes kaimo vietovese. Ekonomika ir vadyba: aktualijos ir perspektyvos, (4), 102-112. [Google Scholar]
- Karacsony, P., Izsak, T., & Vasa, L. (2020). Attitudes of Z generation to job searching through social media. Economics & Sociology, 13(4), 227-240. [Google Scholar]
- Karacsony, P., Vasa, L., Bilan, Y., & Liptak, K. (2021). Hungarian experiences of the transition from traditional work to telework. Transformations in business & economics= Verslo in ekonomikos transformacijos. Brno, Kaunas, Riga, Vilnius: Vilniaus universitetas, 2021, vol. 20, no. 3. [Google Scholar]
- Kvedariene, A., & Svediene, L. (2016). Aukstųjų technologijų sektoriaus pletra: viesosios paramos sistemos. Viesasis administravimas= Public administration, 3(51), 4. [Google Scholar]
- Martinez, W. (2018). How science and technology developments impact employment and education. Proceedings of the National Academy of Sciences, 115(50), 12624-12629. [Google Scholar] [CrossRef]
- Mićić, L. (2017). Digital transformation and its influence on GDP. Economics, 5(2), 135-147. [Google Scholar] [CrossRef]
- Mishchuk, H., Bilan, S., Yurchyk, H. & Sułkowska, J. (2020). Social Protection of Employees as A Tool of Social Responsibility and Increase of Business Efficiency Proceedings of the 35th International Business Information Management Association (IBIMA), ISBN: 978-0-9998551-4-0, 1-12 April 2020, Seville, Spain, p. 9459-9469.
- Paliunaite, E. (2011). Nedarbas ir jo atsiradimo priezastys. Vilnius: Mykolo Romerio universitetas. [Google Scholar]
- Pocius, A., & Neverauskiene, L. O. (2015). Tikslinių grupių integracijos į darbo rinką galimybių vertinimas. Lietuvos socialine raida, Uzimtumo politikos ir socialines pagalbos įtaka socialinei stratifikacijai, 38-60. [Google Scholar]
- Prívara, A., Rievajova, E., & Barbulescu, A. (2020). Attracting High Skilled Individuals in the EU: The Finnish Experience. Migration Letters, 17(2), 369-377. [Google Scholar]
- Raisiene, A. G., Rapuano, V., Dőry, T., & Varkuleviciute, K. (2021). Does telework work? Gauging challenges of telecommuting to adapt to a “new normal”. Human Technology, 17(2), 126-144. [Google Scholar]
- Rechnitzer, J., Berkes, J., & Filep, B. (2019). The most important city development initiatives of Hungary. Regional Statistics, 9(2), 20-44. Google Scholar[]
- Simanaviciene, A., & Uzkuryte, L. (2009). Pokyciai darbo rinkoje ekonominio nuosmukio metu: Lietuvos atvejis. In Ekonomika ir vadyba (No. 14, pp. 940-946). [Google Scholar]
- Supa, M. (2018). Kas yra naujosios technologijos? Apibrezimo ir technologinio turinio problematika ekspertiniuose dokumentuose ir korporatyvineje komunikacijoje. Informacijos mokslai, (83), 101-120. [Google Scholar]
- Tomaseviciene, O., & Staroselskaja, J. (2018). Lietuvos darbo rinkos pokyciai 2008–2016 metais. In Socialinių mokslų studijos (No. 10 (2), pp. 322-340). [Google Scholar]
- Upadhyay, V. (2015). Can capitalism survive high degree of automation? A comparison with Thomas Piketty’s argument. A Comparison with Thomas Piketty’s Argument (February 2, 2015). [Google Scholar]
- West, D. M. (2015). What happens if robots take the jobs? The impact of emerging technologies on employment and public policy. Centre for Technology Innovation at Brookings, Washington DC. [Google Scholar]
- Zhang, F., Wang, Y., & Liu, W. (2020). Science and technology resource allocation, spatial association, and regional innovation. Sustainability, 12(2), 694. [Google Scholar] [CrossRef]
|