arbiter
JournalsPricingAccount

Is investment in technology a threat to employment in the BRICS region

Tavishi Tewary et al.

International Journal of Technology and Globalisation2020https://doi.org/10.1504/ijtg.2020.112175article
AJG 1
Weight
0.26

What the paper says

This paper makes an attempt to understand and quantify the impact of investment in technology in the BRICS region. The paper adopts the computable general equilibrium model with the GTAP 10 database to achieve the objective. Three scenarios are built to measure the ramifications of this structural transformation. The paper concludes that there will be mixed results for different sectors, and governments of these countries have to step forward to bridge the gap created by the advent of new technologies such as blockchain, and artificial intelligence and robotics. Governments will have to find answers to some pertinent questions such as what policies are required to be framed to enjoy the benefits of technological changes and how can the functioning of labour markets be improved in view of the technological revolution. They will also have to ensure inclusiveness and income equality through new policies.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1504/ijtg.2020.112175

Or copy a formatted citation

@article{tavishi2020,
  title        = {{Is investment in technology a threat to employment in the BRICS region}},
  author       = {Tavishi Tewary et al.},
  journal      = {International Journal of Technology and Globalisation},
  year         = {2020},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtg.2020.112175},
}

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

Flag this paper

Is investment in technology a threat to employment in the BRICS region

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

Evidence weight

0.26

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

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.20 × 0.15 = 0.03
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.