N4S
This article explores how India is shifting towards evidence-based policymaking (EBPM). UPSC often asks such topics by linking them to broader governance issues -like the 2018 GS2 question on policy contradictions. Where aspirants usually falter is in reducing these topics to mere institutional listing without engaging with the underlying structural reforms – like regular rule reviews, digital governance platforms, or the need for a unified regulation-making law. This article helps bridge that gap. It explains key changes like Mandatory Public Consultation and Economic Impact Analysis in a simple, relatable way. A standout section is “EBPM across Schemes”, which gives practical examples – from JAM to Swachh Bharat to NEP – that can be used in GS2, GS3, Ethics, and Essay papers. It also connects Indian reforms with global practices (like US OIRA and EU’s ex-post review), helping aspirants frame comparative arguments. Most importantly, the article makes a data-heavy, abstract topic feel human and real – something aspirants often miss.
PYQ ANCHORING
GS 2 : Policy contradictions among various competing sectors and stakeholders have resulted in inadequate ‘protection and prevention of degradation’ to environment. “ Comment with relevant illustration. [2018]
MICROTHEMES: Structural Reforms & actions
For the first time, India’s top financial regulators – the Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) – have laid down clear steps for how they’ll make, update, and review regulations. This is a big shift toward more transparent, data-backed, and accountable governance.
Changes made by RBI and SEBI
1. Mandatory Public Consultation
Before any new rule is finalised, there’s now a 21-day window where the public can give feedback.
Example: If SEBI plans to change investment rules, investors, companies, or citizens can send suggestions.
2. Clear Objectives and Impact Analysis
- RBI must explain the possible economic impact of its proposed regulations.
- SEBI must clearly state the intent and purpose behind a rule.
Example: Before regulating digital lending, RBI must study how it would impact consumers and lending companies.
Why Is Economic Rationale Important in Rule-Making?ReasonWhy It MattersExampleTargets real problemsPrevents over-regulation or solving non-issuesRBI acted against predatory digital lendersSaves resourcesFocuses time and money on actual needsSEBI watches high-risk products, not safe onesData-driven policyPromotes evidence-based decision-makingPost-2008, capital norms based on risk dataCost vs. benefit clarityAvoids excessive burden on stakeholdersDisclosure norms reviewed before enforcementBuilds public trustTransparency boosts confidence in regulatorsBan on front-running explained with logic |
3. Regular Review of Old Rules
Both regulators will now revisit older regulations to see if they still make sense in today’s context.
Example: SEBI might reassess mutual fund norms to match current market realities.
Learnings from USA and EU
Global Practice | How It Works | Example |
Cost-benefit analysis | Mandatory economic impact review before any rule | US OIRA reviews federal rules |
Problem & options assessment | Define the problem, evaluate all policy options | EU did this before appliance labelling reforms |
Monitoring post-implementation | Evaluate success after rules are rolled out | EU uses ex-post reviews regularly |
Recent trend of reforms in India
In recent times, India’s financial sector has shown a clear shift toward evidence-based policymaking, with regulators increasingly relying on data, public feedback, and impact assessments to frame and refine policies. This shift is marked by a move away from purely top-down decision-making toward a more transparent, consultative, and analytical approach. Key developments include:
Trend | Example |
Public consultation in regulation-making | SEBI and RBI now publish draft rules for feedback. |
Digital governance platforms | RBI’s PRAVAAH for tracking regulatory approvals. |
Unified regulatory review | IFSCA mandates rule review every 5 years. |
Cross-sectoral issues like fintech, ESG, climate risk | All regulators moving toward global norms and digital innovation. |
Need for a common law on regulation-making | Experts demand a law like the U.S. Administrative Procedure Act in India. |
Evidence-Based Policymaking (EBPM)
Evidence-Based Policymaking refers to the systematic use of data, research, and empirical analysis to inform and guide policy decisions. Rather than relying on ideology, intuition, or political expediency, EBPM insists that policies must be:
- Grounded in verifiable evidence,
- Evaluated through cost-benefit and impact assessments,
- Designed to address real problems, not perceived ones.
Academic Roots of EBPM
Aspect | Details |
Origin | Emerged from evidence-based medicine in the UK during the 1990s, where doctors used clinical data rather than anecdotal experience to treat patients. |
Expansion into Public Policy | Popularized in governance through think tanks and public administration schools (e.g., LSE, Harvard Kennedy School). |
Influential Thinkers | – Thomas Kuhn (scientific paradigms), – Donald Campbell (social experimentation), – Carole Weiss (policy evaluation). Also influenced by Rational Choice Theory and Behavioral Economics. |
Global Spread | Adopted in OECD countries, especially in the UK (Blair Government), USA (Obama’s Evidence-based Budgeting), and EU. |
Core Philosophy Behind EBPM
Principle | What it Means |
Rationality | Decisions should stem from reason and analysis, not guesswork. |
Transparency | Policymakers must clearly state what evidence they used. |
Accountability | Evidence allows policies to be tested, reviewed, and improved. |
Adaptability | Policies must evolve with new data and evaluation. |
Democratic Legitimacy | Opens the policymaking process to stakeholders, building trust. |
EBPM across Schemes
1. Aspirational Districts Programme (ADP): Launched by NITI Aayog in 2018.
Evidence Used: Real-time data from 112 underdeveloped districts on health, education, infrastructure, etc.
Tools: Use of Champions of Change Dashboard, ranking districts on performance metrics.
Impact: Led to targeted intervention and measurable improvement in outcomes like institutional deliveries and school attendance.
2. JAM Trinity in DBT (Jan Dhan, Aadhaar, Mobile): Reform of subsidy delivery through Direct Benefit Transfers (DBT).
Evidence Used: Leakages in PDS, LPG, and MNREGA identified through pilot projects and CAG audits.
Outcome: Over ₹2.2 lakh crore reportedly saved in leakage (as per govt reports), while increasing inclusion.
3. National Education Policy (NEP) 2020: Revamp of India’s education system.
Evidence Used: Based on over 2 lakh suggestions, committee recommendations, and academic studies on learning outcomes and dropout rates.
Key Shift: Emphasis on foundational literacy, flexible curriculum, and local language teaching.
4. Swachh Bharat Mission – Gramin: Nationwide sanitation campaign to end open defecation.
Evidence Used: Baseline surveys in 2013 and independent impact assessments by WaterAid, UNICEF, etc.
Policy Change: Shift from toilet construction targets to behavioural change campaigns.
6. Farm Laws and Repeal :Three farm laws were introduced to reform agricultural marketing.
Gap in EBPM:
- Limited public consultation,
- Lack of pilot testing,
- Absence of broad stakeholder consensus, especially with farmer unions.
Outcome: Widespread protests, followed by repeal.
Lesson: Highlights the consequences of ignoring evidence and consensus-building in policymaking.
7. COVID-19 Vaccination Strategy (CoWIN Platform): Nation-wide vaccine rollout.
Evidence Used: Data on supply chains, real-time coverage, and vulnerable groups.
Tools: CoWIN dashboard, GPS-linked vaccine monitoring, demographic analytics.
Challenges in EBPM
Challenge | Explanation | Example |
Data Gaps and Poor Quality | Lack of granular, updated, and reliable data hampers effective decision-making. | Health and education data often outdated or inconsistent across states. |
Limited Institutional Capacity | Policymakers may lack training or tools to analyze and apply evidence. | Many local governments lack data analysts or dedicated policy cells. |
Low Use of Impact Evaluation | Policies are rarely tested through pilots or evaluated after implementation. | Schemes like MGNREGA lack rigorous impact assessment across all regions. |
Political and Bureaucratic Resistance | Decisions may be driven by ideology or electoral concerns, not data. | Farm loan waivers often announced despite contrary economic evidence. |
Weak Feedback Loops | Limited mechanisms to revise or withdraw ineffective policies. | Poor-performing schemes often continue due to lack of sunset clauses. |
Fragmented Data Ownership | Data scattered across ministries with poor interoperability. | Employment data split between Labour Ministry, NSSO, and private platforms. |
Access and Transparency Issues | Many datasets are not publicly available or easily accessible. | Delays in releasing official surveys like the NFHS or PLFS. |
Over-reliance on Tech without Context | Digital tools used without understanding ground realities or local needs. | Implementation of AgriTech apps without farmer literacy or connectivity. |
Way Forward
- National Evidence Ecosystem:
Create an independent Evidence Advisory Body under NITI Aayog to guide ministries and coordinate evaluations. - Data Infrastructure:
Develop a unified national data portal with real-time, disaggregated, and publicly accessible datasets. - Impact Evaluation:
Make pilot testing and independent impact evaluation mandatory for all major government schemes. - Local Government Capacity:
Deploy trained data and policy officers at the district level to support evidence-based planning. - Policy-Academia Linkages:
Fund and formalize partnerships between ministries and research institutions for evidence generation. - Transparency & Feedback:
Mandate public release of evaluation reports and integrate citizen feedback into policy design.
#BACK2BASICS: Financial Regulatory Ecosystem
It refers to the network of institutions, laws, and mechanisms that govern financial markets and institutions – ensuring stability, protecting consumers, promoting competition, and preventing fraud or misuse.
Core Financial Regulators in India
Regulator | Area It Regulates | Key Functions |
RBI (Reserve Bank of India) | Banks, NBFCs, Payments, Monetary Policy | Controls interest rates, inflation, currency supply; regulates banks and digital payments. |
SEBI (Securities and Exchange Board of India) | Stock Markets, Mutual Funds, Brokers | Protects investors, curbs fraud, regulates trading, ensures market transparency. |
IRDAI (Insurance Regulatory and Development Authority of India) | Life, Health, and General Insurance | Approves products, fixes premiums, protects policyholders, ensures insurance company solvency. |
PFRDA (Pension Fund Regulatory and Development Authority) | National Pension System (NPS), Pension Sector | Regulates pension funds and ensures transparency and returns for retirement savings. |
IFSCA (International Financial Services Centres Authority) | GIFT City and Offshore Financial Services | One-stop regulator for banking, insurance, markets, and fintech within GIFT City. |
Ministry of Finance (GoI) | Overall financial policy, budget, fiscal strategy | Coordinates policy, tax decisions, public debt, and controls Public Sector Banks. |
FSDC (Financial Stability and Development Council) | Inter-regulatory coordination | Ensures stability across sectors; headed by Finance Minister; not a statutory body. |
Supporting Institutions
Institution | Role |
NABARD | Regulates and refinances rural credit; supports agri and rural banks. |
SIDBI | Promotes and finances MSMEs. |
National Financial Reporting Authority (NFRA) | Regulates and enforces accounting standards for large listed companies. |
CERSAI | Maintains central registry to prevent loan frauds on movable assets. |
DICGC (Deposit Insurance and Credit Guarantee Corp.) | Provides insurance to bank deposits up to ₹5 lakh. |
Key Laws Governing Financial Regulation
Law | Area Covered |
RBI Act, 1934 | Monetary and banking regulation |
Banking Regulation Act, 1949 | Licensing and functioning of banks |
SEBI Act, 1992 | Capital markets and securities |
Insurance Act, 1938 and IRDAI Act, 1999 | Insurance sector |
PFRDA Act, 2013 | Pension regulation |
IFSCA Act, 2019 | Regulation in GIFT IFSC |
Companies Act, 2013 | Corporate governance and financial disclosures |
SARBFAESI Act, 2002 | Recovery of bad loans without court intervention |
Insolvency and Bankruptcy Code, 2016 (IBC) | Time-bound resolution of insolvency cases |
Challenges in the Ecosystem
- Jurisdiction Overlap:
Multiple regulators oversee similar products, causing confusion. (e.g., SEBI-IRDAI over ULIPs) - Regulatory Arbitrage:
Firms choose lenient regulators to bypass strict norms. (e.g., NBFCs vs banks) - Poor Coordination in New Areas:
Fragmented oversight in fintech, crypto, AI. (e.g., RBI vs MeitY on digital lending) - Gaps in Climate Finance Regulation:
No unified framework for green bonds or ESG disclosures. (e.g., SEBI vs RBI roles) - Weak Protection in Informal Sector:
Unregulated products expose consumers to risk. (e.g., chit funds, informal loans) - Slow Regulatory Adaptation:
Laws lag behind market innovation. (e.g., delayed crypto regulation)
India’s financial regulatory ecosystem is broad, multi-layered, and evolving — aiming to balance stability, transparency, and innovation. As the financial world changes rapidly, India needs stronger coordination, more transparent rule-making, and a common legal and institutional framework to stay resilient and globally competitive.
SMASH MAINS MOCK DROP
In the context of evolving regulatory governance in India, evaluate the role of evidence-based policymaking (EBPM) in ensuring transparency, accountability, and public trust.