arbiter
JournalsPricingAccount

The impact of the digital economy on the employment structure of economies - the example of western countries

Hui Liu

International Journal of Technology Intelligence and Planning2024https://doi.org/10.1504/ijtip.2024.145526article
AJG 1
Weight
0.30

What the paper says

The study examines the impact of the digital economy on the employment structure of the regional economy. The quantitative analysis model constructed by vector autoregression (VAR) and vector error correction (VEC) methods. The results of the study show that the ratio of output of secondary and tertiary industries has the greatest impact on the share of employment in the service sector, with contributions ranging from 2.86% to 33.05%. The contribution of the digital economy to the employment share of workers with high levels of education ranges from 51.97% to 59.46%. The results of the study suggest that the digital economy can contribute to an increase in the ratio of output in the region's secondary and tertiary sectors and increase the employment rate of workers with high levels of education.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijtip.2024.145526

Or copy a formatted citation

@article{hui2024,
  title        = {{The impact of the digital economy on the employment structure of economies - the example of western countries}},
  author       = {Hui Liu},
  journal      = {International Journal of Technology Intelligence and Planning},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtip.2024.145526},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

The impact of the digital economy on the employment structure of economies - the example of western countries

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.