Now Reading: MP cabinet clears Rs 1,740 crore for 19 welfare schemes
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MP cabinet clears Rs 1,740 crore for 19 welfare schemes
The Madhya Pradesh cabinet has approved Rs 1,740 crore for 19 social welfare schemes run by the Social Justice and Divyangjan Empowerment Department, covering the financial years 2026 to 2031. The decision…
The Madhya Pradesh cabinet has approved Rs 1,740 crore for 19 social welfare schemes run by the Social Justice and Divyangjan Empowerment Department, covering the financial years 2026 to 2031. The decision was taken at a cabinet meeting in Bhopal on Tuesday.
Separately, the cabinet approved incentives worth Rs 78 lakh for three players and three coaches who won the Women T20 Blind Cricket World Cup 2025. Each of the three players, Sunita Sarate, Durga Yeble and Sushma Patel, will receive Rs 25 lakh, comprising Rs 10 lakh in cash and a Rs 15 lakh fixed deposit. The three coaches will get Rs 1 lakh each.
The cabinet also cleared Rs 250.67 crore for programmes at the Madhya Pradesh Bhawan and the office of the Resident Commissioner in New Delhi during the 16th Finance Commission period from April 2026 to March 2031.
Indian Opinion Analysis
The five-year approval period lines up with the 16th Finance Commission's award cycle, which governs central tax devolution to states from 2026-27 to 2030-31. State governments routinely present multi-year social sector plans to the Commission to strengthen their case for higher grants. The Rs 250.67 crore allocated for the Delhi guest house and Resident Commissioner's office is a capital spend that will also figure in those submissions. What remains unstated in the cabinet note is how many of the 19 schemes are new versus renewed, and whether the allocations keep pace with inflation over a half-decade. The scheme-level break-up is yet to be published, the Finance Commission's final recommendations, due later this year, will test whether the state's social welfare ambition matches its fiscal capacity.
Source: freepressjournal.in
This brief was synthesised by AI from the source linked above.
