Executive summary
Higher living standards require sustained gains in output per worker, broad participation and competitive firms. Aggregate GDP alone is not a sufficient measure of development. Expand competitive manufacturing and tradable services; improve the business environment for MSMEs; lower logistics friction; strengthen cities as productive clusters. This working paper proposes a phased, measurable agenda for economy and identifies evidence that expert contributors should test before a final policy recommendation is published.
1. Problem definition and scope
The mission focuses on economy as a determinant of India's living standards and long-run resilience. Progress cannot be judged by a single headline number: outcomes must be assessed across regions, genders, income groups and access to opportunity.
Three priority constraints shape this research agenda: Productivity and per-capita income; Export competitiveness; Regional inequality. Each requires a baseline, causal diagnosis and an explicit view of which levers belong to national government, state government, municipalities, enterprises or civil society.
2. Key research questions
- What is the scale and distribution of productivity and per-capita income, and which public datasets can establish a reproducible baseline?
- What is the scale and distribution of export competitiveness, and which public datasets can establish a reproducible baseline?
- What is the scale and distribution of regional inequality, and which public datasets can establish a reproducible baseline?
- Which interventions show credible evidence of impact in Indian states or comparable economies?
- What implementation costs, institutional capabilities and unintended effects must be evaluated?
3. Proposed interventions
3.1 — Manufacturing and services competitiveness
Design: Test manufacturing and services competitiveness in a limited geography or sector, using clear eligibility criteria and published operating rules. Delivery: Identify a lead implementing body, local partners, an independent evaluator and a route for citizen or business feedback. Evidence: Track a baseline, a comparison group where feasible, costs per beneficiary and quality-of-service measures.
3.2 — Skills and innovation investment
Design: Test skills and innovation investment in a limited geography or sector, using clear eligibility criteria and published operating rules. Delivery: Identify a lead implementing body, local partners, an independent evaluator and a route for citizen or business feedback. Evidence: Track a baseline, a comparison group where feasible, costs per beneficiary and quality-of-service measures.
3.3 — Efficient logistics
Design: Test efficient logistics in a limited geography or sector, using clear eligibility criteria and published operating rules. Delivery: Identify a lead implementing body, local partners, an independent evaluator and a route for citizen or business feedback. Evidence: Track a baseline, a comparison group where feasible, costs per beneficiary and quality-of-service measures.
4. Illustrative demonstration project
Before launch, develop a feasibility note covering beneficiaries, budget envelope, delivery owners, privacy safeguards, monitoring design and a stop-or-scale decision gate.
5. Phased implementation roadmap
6. Measurement framework
The following indicators are proposed for an MDI dashboard. Definitions, sources, frequency and disaggregation should be finalized with domain experts.
- Productivity per worker
- real median household income
- exports by complexity
- formal enterprise growth.
7. Risks, trade-offs and safeguards
Implementation risk: Ambitious national targets may obscure weak local delivery. Mitigation: publish state and district dashboards and stage investments around independent evaluations.
Equity risk: Benefits may concentrate among better-connected communities. Mitigation: track distributional outcomes and design accessibility, language and inclusion safeguards.
Measurement risk: Correlation may be mistaken for impact. Mitigation: document baselines, methods, data limitations and alternative explanations.
Financial risk: Costs may exceed expected benefits. Mitigation: assess unit economics, fiscal sustainability and opportunity costs before scaling.
8. Expert consultation agenda
- Which assumption in this brief is weakest, and what evidence could falsify it?
- Which state, district or industry offers the best first pilot?
- What would a realistic five-year target look like?
- Which institution should be accountable for the outcome?
- What should be excluded to keep the intervention feasible?
9. Reference sources and evidence plan
- NITI Aayog — Strategic Imperatives for Viksit Bharat @2047
- NITI Aayog — DPI@2047 roadmap
- World Bank — India data
- GDP and national accounts: MOSPI
- labour indicators: PLFS
- trade: Ministry of Commerce
- World Bank development indicators.
This is an original editorial working brief, not a peer-reviewed paper. It intentionally avoids presenting unsupported numerical forecasts as established facts. Consult linked primary sources for current statistics.
Contribute expertise →