Routine jobs, employment and technological innovation in global value chains

Marcolin, Luca; Miroudot, Sébastien; Squicciarini, Mariagrazia

doi:10.1787/5jm5dcz2d26j-en

Cited by 73 publications

(88 citation statements)

References 42 publications

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“…While these studies can only show a static picture, as time-series data is currently unavailable, they are able to account for the diversity of tasks within occupations. Moreover, they can analyze the degree of influence that workers have on how they perform their jobs, and how often workers plan their own activities or organize their own time-routine jobs are characterized by low scores in these aspects [12]. This alternative approach confirms the high importance of the routine content of jobs in CEE post-transition economies.…”

Section: Task Content Of Jobs In Central and Eastern Europementioning

confidence: 74%

“…This alternative approach confirms the high importance of the routine content of jobs in CEE post-transition economies. All CEE countries, except the Czech Republic and Estonia, exhibited a higher average share of highly routine jobs in manufacturing in 2000, 2005, and 2008-2011, than the OECD average [12]. In services, this was true for medium-routine jobs.…”

Section: Task Content Of Jobs In Central and Eastern Europementioning

confidence: 85%

“…On the other hand, there was no statistically significant relationship between routine cognitive task intensities and the considered covariates [9]. A study using data produced by PIAAC to analyze manufacturing and services employment in the OECD countries, including CEE, found that higher skills were associated with higher employment in non-routine and low-routine-intensive occupations [12]. This was reflected in lower employment in routine-intensive jobs within sectors.…”

Section: Supply-side Factors-workforce Upskillingmentioning

confidence: 94%

“…It also showed that CEE countries exhibit both below-average ICT use and above-average relative importance of routine cognitive work. In addition, studies found that technology adoption, proxied by R&D spending [9], and by ICT intensity of industries [12], complements workforce upskilling, and that a positive relationship emerges between technology adoption measures and non-routine cognitive work, while a negative relationship emerges between technology and routine work, especially manual.…”

Section: Supply-side Factors-workforce Upskillingmentioning

confidence: 99%

“…Such studies assume that the contents of particular occupations around the world are the same as in the US. This is a strong assumption, although it has been shown that the US occupation-based and non-US skill-survey-based measures lead to very similar outcomes for European countries [12]. Furthermore, it is methodologically valid to use O*NET data to construct occupational measures in Europe [9].…”

Section: Limitations and Gapsmentioning

confidence: 99%

See 4 more Smart Citations

The changing nature of jobs in Central and Eastern Europe

Lewandowski¹

2017

izawol

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Section: Task Content Of Jobs In Central and Eastern Europementioning

confidence: 74%

Section: Task Content Of Jobs In Central and Eastern Europementioning

confidence: 85%

Section: Supply-side Factors-workforce Upskillingmentioning

confidence: 94%

Section: Supply-side Factors-workforce Upskillingmentioning

confidence: 99%

Section: Limitations and Gapsmentioning

confidence: 99%

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The changing nature of jobs in Central and Eastern Europe

Lewandowski¹

2017

izawol

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The non‐linear impacts of innovation on unemployment: Evidence from panel data

Law

2022

Int. J Fin Econ

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This article examines the linear and non‐linear impacts of innovation on unemployment in 61 countries, covering annual data from 2007 to 2016. The relationship is estimated by deploying the system generalised method of moments (SGMM) estimation. Alternative instruments for the SGMM estimation and cross‐sectional threshold estimation are utilised to investigate the estimation robustness. Although the negative linear relationship between innovation and unemployment is not robustly supported in the linear models, the empirical results of non‐linear models suggest the existence of an inverted‐U effect of innovation on unemployment rate. The marginal impact of innovation also supports the inverted‐U relationship in which only the innovation at the maximum and mean level contributes to lower unemployment. Additionally, the negative marginal effect is larger at the maximum level compared to the mean level. The robustness estimations that use alternative instruments and the Hansen threshold regression also support the non‐linear relationship. On the basis of the findings, although innovation should be encouraged to create more jobs, policymakers are advised to consider interventions in job protection, such as offering reskilling programs to mitigate rising unemployment following the initial efforts to promote innovation.

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Technopreneurship: A Discursive Analysis of the Impact of Technology on the Success of Women Entrepreneurs in South Africa

Irene

2019

Palgrave Studies of Entrepreneurship in Africa

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The Consortium for Educational Access, Transitions and Equity (CREATE) is a Research Programme Consortium supported by the UK Department for International Development (DFID). Its purpose is to undertake research designed to improve access to basic education in developing countries. It seeks to achieve this through generating new knowledge and encouraging its application through effective communication and dissemination to national and international development agencies, national governments, education and development professionals, non-government organisations and other interested stakeholders. Access to basic education lies at the heart of development. Lack of educational access, and securely acquired knowledge and skill, is both a part of the definition of poverty, and a means for its diminution. Sustained access to meaningful learning that has value is critical to long term improvements in productivity, the reduction of inter-generational cycles of poverty, demographic transition, preventive health care, the empowerment of women, and reductions in inequality.

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Routine jobs, employment and technological innovation in global value chains

Cited by 73 publications

References 42 publications

The changing nature of jobs in Central and Eastern Europe

The changing nature of jobs in Central and Eastern Europe

The non‐linear impacts of innovation on unemployment: Evidence from panel data

Technopreneurship: A Discursive Analysis of the Impact of Technology on the Success of Women Entrepreneurs in South Africa

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