Measuring and analyzing the impact of using robots on unemployment rates: A study of selected countries' experiences for the period (2000 – 2023(

Authors

  • Salwa Bayz Kareem
  • Younis Ali Ahmed

DOI:

https://doi.org/10.31272/40v2hn46

Keywords:

Technological Advancement, Robots, Unemployment Rates, ARDL, Pooled Mean Group (PMG) model.

Abstract

All sectors and fields are affected by rapid developments and changes in technology, which greatly affects labour supply and demand, as well as wage levels, productivity and work efficiency in companies and projects, especially in unemployment rates. To diagnose the factors affecting unemployment rates in (5) leading countries in the robotics industry, including (China, Japan, the United States of America, South Korea, and Germany) during the period (2000-2023), a regression was conducted on the unemployment rate as a dependent variable on (3) independent variables (number of robots, population

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Published

2024-12-05