Characteristics of the Labour Market and Innovations in the Digital Economy: Exploring Their Relationship in OECD Countries
DOI:
https://doi.org/10.15678/krem.18630Keywords:
digital economy, Industry 4.0, innovation, labour market, labour market institutionsAbstract
Objective: This paper examines the relationship between labour market characteristics and innovations in the OECD countries. Specifically, this study adopts a quantitative approach, primarily focused on employing correlation analysis to explore the relationship between labour market institutions, labour market outcomes, and indicators measuring innovations in the OECD countries.
Research Design & Methods: The study uses data from a diverse range of OECD countries to analyse the relationship between institutional frameworks, labour market outcomes and various dimensions of innovation. Through a correlation analysis of key indicators such as innovation and technological adoption rates, employment and participation patterns, and labour market institutions, the study highlights various ways in which labour markets respond to the demands of an increasingly digitised economy.
Findings: The results indicate that investments in information and communication technology in the OECD countries are positively associated with public spending on labour market policies. Additionally, the empirical analysis indicates a positive relationship between people employed in high-skill occupations and indicators measuring innovation. In contrast, the relationship between people employed in low and medium-skill occupations and indicators measuring innovation was negative. Furthermore, stricter employment protection legislation is usually associated with lower values in indicators measuring innovation in the OECD countries. The results also indicate that the relationship between indicators measuring innovation and employment can vary across different sectors.
Implications / Recommendations: The findings underline the critical importance of institutional dynamics in fostering digital progress and provide essential insights for researchers, policymakers, and others interested in the labour markets in the digital age.
Contribution: The originality of the study lies in its extensive discussion of the impact of innovation and new technologies on labour markets in the digital economy, as well as its analysis of relationships between labour market outcomes, labour market institutions and indicators measuring innovation.
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Acemoglu, D., & Restrepo, P. (2020). Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), 2188–2244. https://doi.org/10.1086/705716 DOI: https://doi.org/10.1086/705716
Agolla, J. E. (2018). Human Capital in the Smart Manufacturing and Industry 4.0 Revolution. In: A. Petrillo, R. Cioffi, F. De Felice (Eds), Digital Transformation in Smart Manufacturing (pp. 41–58). IntechOpen. https://doi.org/10.5772/intechopen.73575 DOI: https://doi.org/10.5772/intechopen.73575
Arntz, M., Gregory, T., & Zierahn, U. (2016). The Risk of Automation for Jobs in OECD Countries: A Comparative Analysis (OECD Social, Employment and Migration Working Papers No. 189). OECD Publishing. https://doi.org/10.1787/5jlz9h56dvq7-en
Braesemann, F., Stephany, F., Teutloff, O., Kässi, O., Graham, M., & Lehdonvirta, V. (2022). The Global Polarisation of Remote Work. PLoS ONE, 17(10), e0274630. https://doi.org/10.1371/journal.pone.0274630 DOI: https://doi.org/10.1371/journal.pone.0274630
Bukht, R., & Heeks, R. (2017). Defining, Conceptualising and Measuring the Digital Economy (Development Informatics Working Paper No. 68). Centre for Development Informatics Global Development Institute, SEED. https://doi.org/10.2139/ssrn.3431732 DOI: https://doi.org/10.2139/ssrn.3431732
Corrocher, N., Moschella, D., Staccioli, J., & Vivarelli, M. (2023). Innovation and the Labor Market: Theory, Evidence and Challenges (GLO Discussion Paper No. 1284). Global Labor Organization (GLO). DOI: https://doi.org/10.2139/ssrn.4467960
Costa Dias, M., Joyce, R., Postel-Vinay, F., & Xu, X. (2020). The Challenges for Labour Market Policy during the COVID-19 Pandemic. Fiscal Studies, 41(2), 371–382. https://doi.org/10.1111/1475-5890.12233 DOI: https://doi.org/10.1111/1475-5890.12233
European Commission. (2022a). Digital Economy and Society Index (DESI) 2022. Methodological Note. Retrieved from: https://digital-strategy.ec.europa.eu/en/policies/desi (accessed: 30.04.2024).
European Commission. (2022b). Digital Economy and Society Index (until 2022). Retrieved from: https://digital-decade-desi.digital-strategy.ec.europa.eu/datasets/desi-2022/indicators#desi_subdim (accessed: 30.04.2024).
Frey, C. D., & Osborne, M. A. (2017). The Future of Employment: How Susceptible Are Jobs to Computerisation? Technological Forecasting and Social Change, 114, 254–280. https://doi.org/10.1016/j.techfore.2016.08.019 DOI: https://doi.org/10.1016/j.techfore.2016.08.019
ILOSTAT. (2024). ILOSTAT Data Explorer. Employment by Sex, Age and Occupation (Thousands) – Annual. Retrieved from: https://rshiny.ilo.org/dataexplorer26/?lang=en&id=EMP_TEMP_SEX_AGE_OCU_NB_A (accessed: 2.05.2024).
IMF. (2018). Measuring the Digital Economy. International Monetary Fund. Retrieved from: https://www.imf.org/en/%20Publications/Policy-Papers/Issues/2018/04/03/022818-measuring-the-digital-economy (accessed: 30.04.2024).
Kryńska, E. (2004). Niedopasowania podaży i popytu na pracę w Polsce. In: E. Kryńska (Ed.), Polski rynek pracy – niedopasowania strukturalne (pp. 13–40). Instytut Pracy i Spraw Socjalnych.
OECD. (2016). Innovation and the Digital Economy. In: OECD Science, Technology and Innovation Outlook 2016. OECD Publishing. https://doi.org/10.1787/sti_in_outlook-2016-30-en
OECD. (2018). Toolkit for Measuring Digital Economy. OECD Publishing.
OECD. (2019). Going Digital: Shaping Policies, Improving Lives. OECD Publishing. https://doi.org/10.1787/9789264312012-en
OECD. (2020). A Roadmap toward a Common Framework for Measuring the Digital Economy. Report for the G20 Digital Economy Taks Force. OECD Publishing.
OECD. (2022). OECD Main Science and Technology Indicators. R&D Highlights in the March 2022 Publication. OECD Directorate for Science, Technology and Innovation. Retrieved from: http://www.oecd.org/sti/msti2022.pdf (accessed: 24.08.2023).
OECD. (2023). Public Spending on Labour Markets. https://doi.org/10.1787/911b8753-en
OECD. (2024a). Business R&D Expenditure in Information Industries as a Share of GDP. Retrieved from: https://goingdigital.oecd.org/en/indicator/31 (accessed: 2.05.2024).
OECD. (2024b). Employment by Activity. https://doi.org/10.1787/a258bb52-en
OECD. (2024c). Employment by Education Level. https://doi.org/10.1787/26f676c7-en
OECD. (2024d). Going Digital Toolkit. Retrieved from: https://goingdigital.oecd.org/ (accessed: 2.05.2024).
OECD. (2024e). ICT Investment as a Share of GDP. Retrieved from: https://goingdigital.oecd.org/indicator/30 (accessed: 2.05.2024).
OECD. (2024f). Patents in ICT Technologies, as a Share of Total IP5 Patent Families. Retrieved from: https://goingdigital.oecd.org/indicator/33 (accessed: 2.05.2024).
OECD. (2024g). Start-up Firms (up to 2 Years Old) in Information Industries as a Share of All Businesses. Retrieved from: https://goingdigital.oecd.org/indicator/34 (accessed: 6.05.2024).
OECD. (2024h). Top 10% Most-cited Documents in Computer Science, as a Share of the Top 10% Ranked Documents in All Fields. Retrieved from: https://goingdigital.oecd.org/indicator/32 (accessed: 6.05.2024).
OECD. (2024i). Venture Capital Investment in the ICT Sector as a Share of GDP. Retrieved from: https://goingdigital.oecd.org/indicator/35 (accessed: 6.05.2024).
OECD.Stat. (2023a). Main Science and Technology Indicators. Retrieved from: https://stats.oecd.org/Index.aspx?QueryId=33210 (accessed: 24.08.2023).
OECD.Stat. (2023b). Strictness of Employment Protection – Individual and Collective Dismissals (Regular Contracts). Retrieved from: https://stats.oecd.org/Index.aspx?DataSetCode=EPL_OV (accessed: 24.08.2023).
OECD.Stat. (2023c). Strictness of Employment Protection – Temporary Contracts. Retrieved from: https://stats.oecd.org/viewhtml.aspx?datasetcode=EPL_T&lang=en (accessed: 24.08.2023).
OECD.Stat. (2023d). Trade Union Density. Retrieved from: https://stats.oecd.org/Index.aspx?DataSetCode=TUD (accessed: 24.08.2023).
Pilc, M., Woźniak-Jęchorek, B., Woźniak, K., & Piątek, D. (2022). Industry 4.0 in the Messages Published by Employers and Trade Unions in France, Germany, Poland, and the UK. In: M. Ratajczak-Mrozek, P. Marszałek (Eds), Digitalization and Firm Performance: Examining the Strategic Impact (pp. 157–188). Palgrave Macmillan. https://doi.org/10.1007/978-3-030-83360-2_7 DOI: https://doi.org/10.1007/978-3-030-83360-2_7
Rojko, A. (2017). Industry 4.0 Concept: Background and Overview. International Journal of Interactive Mobile Technologies, 11(5), 77–90. https://doi.org/10.3991/ijim.v11i5.7072 DOI: https://doi.org/10.3991/ijim.v11i5.7072
Rotar, L. J. (2022). Effectiveness of Active Labour Market Policies in the EU Countries for the Young Unemployed People and Implications for the Post-pandemic Period. Engineering Economics, 33(3), 326–337. https://doi.org/10.5755/j01.ee.33.3.29652 DOI: https://doi.org/10.5755/j01.ee.33.3.29652
Schroeder, W., Greef, S., & Schreiter, B. (2017). Shaping Digitalisation. Industry 4.0 – Work 4.0 – Regulation of the Platform Economy. Friedrich-Ebert-Stiftung.
Schwab, K. (2015). The Fourth Industrial Revolution. Foreign Affairs. Retrieved from: https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution (accessed: 6.05.2024).
UNCTAD. (2024). UN Trade and Development. Statistics. Empowering Development through Data. Data Centre. Digital Economy. Retrieved from: https://unctadstat.unctad.org/datacentre/ (accessed: 6.05.2024).
Wojtkowiak, G. (2023). The Development of the Effectiveness of Remote Work as Perceived by Employees and Managers, Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie, 2(1000), 71–85. https://doi.org/10.15678/ZNUEK.2023.1000.0204 DOI: https://doi.org/10.15678/ZNUEK.2023.1000.0204
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