Information technology and the labor market in China

Zhang, Fan; Meng, Lei; Sun, Wen; Si, Yanwu

doi:10.1016/j.eap.2021.06.015

Cited by 11 publications

(2 citation statements)

References 19 publications

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“…Also, labour is essential to the production and marketing value chain and several studies have shown that it is a significant contributor to economic growth (Tsani et al, 2013;Liu, 2014;Docquier et al, 2019;Cylus & Al Tayara, 2021;Hou et al, 2021;F. Zhang et al, 2021;X.…”

Section: Introductionmentioning

confidence: 99%

“…Labour is needed in all spheres of the economy as the labour force participation 2 rate measures the active workforce of an economy calculated by the sum of all workers that are employed or actively seeking employment divided by the number of the working-age population. Some studies have also connected the ICT-labour nexus to show that ICT enables the performance of labour (Ceccobelli et al, 2012;Herman, 2020;Kim et al, 2021;F. Zhang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

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ICT Leapfrogging Amidst Labour Force-Economic Growth Nexus in EAP and ECA Regions

Adeleye

Achugamonu

George

et al. 2023

Sci. Ann. Econ. Bus.

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Towards achieving the 2030 United Nations Sustainable Development Goals, this study revisits the information and communication technology (ICT) leapfrogging hypothesis of Steinmueller (2001), and Fong (2009) to expand the literature by testing its relevance in the labour force-growth dynamics in Asia. To achieve this, the study addresses four objectives: (i) test the ICT leapfrogging hypothesis; (ii) investigate the growth-enhancing impact of labour; (iii) examine whether ICT enhances or distorts the productivity of labour on economic growth; and (iv) if these effects differ by economic development. The study uses an unbalanced panel data on 81 countries located in East Asia and Pacific (EAP) and Europe and Central Asia (ECA) from 2010 to 2019. Two estimation techniques, namely panel spatial correlation consistent fixed effects (PSCC-FE) and random effects instrumental variables two-stage least squares (RE-IV2SLS), are deployed. To appraise if the impact differs by economic development, the study engages income group analysis. Among other findings: the leapfrogging hypothesis holds; labour is a significant predictor of economic growth; mobile phones usage is a more potent ICT indicator with more leapfrogging potentials relative to fixed telephones subscription; the net effect of labour on growth is mostly positive in the mobile phones’ models.

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