Skill-Biased Technological Change

From GM-RKB
Jump to navigation Jump to search

A Skill-Biased Technological Change is a technological change that disproportionately benefits skilled labor by increasing its relative productivity and relative demand, compared to unskilled labor.

  • Context:
  • Example(s):
    • The adoption of advanced manufacturing technologies, such as robotics and automation, in industries like automotive manufacturing has increased the demand for engineers and technicians while reducing the need for assembly line workers.
    • The rise of information technology in the workplace leads to greater demand for IT professionals and a decrease in jobs that require less technical skills, such as certain types of administrative work.
    • The growth of the software industry, where there is a high demand for skilled software developers, data scientists, and system analysts, contrasts with diminishing opportunities in less skill-intensive sectors.
    • Implementing AI and machine learning in financial services requires more workers with expertise in these technologies while reducing the need for traditional banking roles.
    • The shift in healthcare towards advanced diagnostic tools and telemedicine necessitates healthcare workers with skills to operate complex medical equipment and manage digital health records, impacting traditional roles in healthcare.
    • ...
  • Counter-Example(s):
  • See: Capital–Skill Complementarity, Elasticity of Substitution, Technological Unemployment, High-Skill Worker.


References

2015

2014

2004

  • (Spitz, 2004) ⇒ Alexandra Spitz. (2004). “Are Skill Requirements in the Workplace Rising. Stylized Facts and Evidence on Skill-biased Technological Change." Stylized Facts and Evidence on Skill-Biased Technological Change

2003

2002

1999

1997