BRICS Labour Ministers Focus on Life-Long Learning and Employment

Tuesday, 10 September 2024, 08:47

BRICS has taken a significant step towards enhancing life-long learning strategies in its latest meeting. The BRICS Labour Ministers' declaration emphasizes comprehensive approaches for vocational guidance, continuous education, and workers' welfare.
Indiatimes
BRICS Labour Ministers Focus on Life-Long Learning and Employment

BRICS Labour Ministers Emphasize Life-Long Learning

Brazil, Russia, India, China, and South Africa convened on Tuesday for the BRICS Labour and Employment Ministers’ Meeting, adopting a declaration that highlights the critical necessity of developing comprehensive strategies for life-long learning. This two-day ministerial session, held in Russia, focused on key issues such as vocational guidance, continuous professional education, and modernizing employment services.

Commitment to Workers' Welfare

  • Safe working conditions and welfare for platform workers are prioritized.
  • Member states are urged to ensure universal social protection for all citizens.
  • India's labour secretary, Sumita Dawra, led the delegation, which included representatives from new BRICS members, Egypt, Ethiopia, Iran, and the UAE.

Prioritized Issues for Discussion

The discussions centered on several critical topics:

  1. Development of vocational guidance and skills training systems.
  2. Challenges in regulating platform employment.
  3. Ensuring health and safety in the workplace.
  4. Social protection advancements for workers.

India showcased initiatives like comprehensive internship schemes for youth and the integration of the National Career Service with the Skill India Digital Hub, aimed at enhancing employability. Additionally, significant labour reforms were highlighted, including the Code on Social Security, which introduces benefits for gig and platform workers.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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