VB–G RAM G Act vs MGNREGA – Debate Over Employment Guarantee Dilution

Context:

The proposed Viksit Bharat – Guarantee for Rozgar and Ajeevika Mission (Gramin) Act (VB–G RAM G Act) has attracted criticism for potentially weakening the foundational employment guarantee principle of MGNREGA.

Key Highlights:

  • Government Initiative / Policy Details
  • VB–G RAM G Act claims to provide 125 days of guaranteed work, compared to 100 days under MGNREGA.
  • However, Section 5(1) “switch-off” provision allows the Central Government to selectively suspend the employment guarantee, raising concerns over dilution.
  • Replaces demand-driven funding with normative funding.
  • Funding Mechanism Shift
  • Normative funding = Allocation based on pre-determined norms rather than actual demand.
  • May introduce budget caps, potentially restricting employment in high-demand states.
  • Could weaken the principle of universal demand-based entitlement.
  • Technology & Governance Claims
  • Claims of reducing corruption through digital tools.
  • However, similar tools under MGNREGA (Aadhaar-based payments, digital attendance) have shown mixed outcomes, including delayed wages and exclusion errors.
  • Provisions Copied from MGNREGA
  • Social audits
  • Timely wage payments
  • Worker entitlements

Critics argue these are largely replicated provisions without structural strengthening.

  • Political & Institutional Concerns
  • Allegations that the new Act sidelines MGNREGA’s legacy.
  • Concerns that the core philosophy of a rights-based employment guarantee may be weakened.

Relevant Prelims Points:

  • MGNREGA (2005):
    • Legal guarantee of 100 days of wage employment to rural households.
    • Demand-driven scheme.
    • Wages to be paid within 15 days, failing which compensation is payable.
    • Provision for social audits by Gram Sabhas.
    • Funded by Central and State governments (cost-sharing pattern).
  • Employment Guarantee Principle:
    • Legal right to work on demand.
    • Non-provision of work attracts unemployment allowance.
  • Normative Funding vs Demand-driven Model:
    • Demand-driven → No pre-fixed cap; funds follow demand.
    • Normative funding → Allocation limited by budgetary norms.
  • Digital Governance in Welfare Schemes:
    • Aadhaar-based Direct Benefit Transfer (DBT).
    • National Mobile Monitoring System (NMMS).
  • Switch-off Provision:
    • Allows executive discretion in implementing employment guarantee — may affect universality.

Relevant Mains Points:

GS Paper 2 – Governance

  • Shift from rights-based welfare to executive-controlled welfare.
  • Implications for federalism, especially if budget caps affect poorer states disproportionately.
  • Concerns over accountability and transparency if guarantee becomes discretionary.

GS Paper 3 – Economy

  • Rural employment as an automatic stabilizer during economic distress.
  • Demand-driven public works improve rural consumption and liquidity.
  • Budget caps may weaken counter-cyclical role.
  • No strong correlation between poverty rates and MGNREGA expenditure across states — uniform caps may distort equity.

Governance & Technology Issues

  • Digital tools may increase efficiency but risk:
    • Exclusion errors
    • Wage delays
    • Reduced worker bargaining power

Way Forward:

  • Preserve demand-driven character of rural employment guarantee.
  • Ensure statutory safeguards against arbitrary suspension.
  • Strengthen social audits and grievance redressal.
  • Improve digital infrastructure without undermining worker rights.
  • Maintain cooperative federalism in fund allocation.

UPSC Relevance:

  • Welfare Schemes & Governance Reforms
    • Rights-based Legislation vs Executive Discretion
    • Rural Economy & Employment
    • Federal Fiscal Relations
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