Governance
- 01Government Policies, Interventions and ICT
- 02Good Governance, Accountability and Civil Services
- 03Development Processes: NGOs, SHGs, Cooperatives and Stakeholders
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Contents
Government Policies, Interventions and ICT
Development Interventions: Design and Implementation Issues
Chapter Overview
Governments change outcomes through development interventions: schemes, missions and laws aimed at income, water, health and access to services. Since 2017-18 a consolidated Outcome Budget has tied large schemes to measurable results, and digital platforms now carry much of the delivery, from DBT (2013) to UMANG’s 2,585 services (July 2026).
Topic 1 explains how interventions are designed and why they falter, with Atal Bhujal Yojana as a case. Topics 2 to 4 trace ICT across the policy cycle, in e-governance and its models, and in the Digital India programme and its platforms. Topic 5 shows the result in welfare delivery: DBT built on the JAM trinity.
- 1Development Interventions: Design and Implementation
- delivered better through
- 2ICT in Policy Making and Implementation
- institutionalised as
- 3E-Governance: Models, Benefits and Challenges
- scaled up nationally by
- 4Digital India: Pillars and Platforms
- whose rails carry
- 5DBT and the JAM Trinity
A development intervention is a planned public action (a scheme, mission or law) meant to change outcomes such as income, water or health; Article 38 asks the state to secure a social order in which “justice, social, economic and political, shall inform all the institutions of the national life”. Since 2017-18 a consolidated Outcome Budget has linked each large scheme’s outlay to its outputs and outcomes.
Why the State Intervenes and What Good Design Needs
- Growth with equity: the state steers the economy through fiscal, monetary and regulatory tools so that growth also reduces inequality and poverty; e.g. Article 39 on fair distribution of resources; top 1% held 40.1% of wealth in 2022-23 (World Inequality Lab); GST (2017), Finance Commission (see GS-2 Polity Ch 3, Topic 4).
- Clear objectives: a sound scheme fixes measurable outputs and outcomes in advance, so money is judged by results rather than by spending; e.g. Outcome Budget 2026-27 (Output-Outcome Monitoring Framework, OOMF) covers 172 schemes with outlays of ₹500 crore or more.
- Targeting and convergence: benefits reach the right people when departments pool funds and data around one area and compete on ranked indicators; e.g. Aspirational Districts Programme (January 2018): 117 districts, 49 KPIs; Aspirational Blocks (2023): 513 blocks (see GS-2 Polity Ch 10, Topic 1).
- Community participation: Gram Sabhas and panchayats that plan, run and audit a scheme give it local ownership and better use; e.g. Article 243G on panchayat plans; social audit by the Gram Sabha under Section 17 of MGNREGA.
- Monitoring and evaluation: independent evaluation and outcome indicators show what works, so weak schemes can be redesigned, merged or closed; e.g. NITI Aayog’s DMEO (September 2015); OOMF covered over 600 schemes and nearly 6,000 indicators in 2021-22.
Implementation Issues across Sectors
- Social sectors: weak infrastructure and quality in health and education, and barriers faced by SC and ST groups and women, blunt welfare outcomes; e.g. Ayushman Bharat (2018), NEP 2020; low learning levels in ASER surveys (see GS-2 Social Justice: Health Sector; Education Sector).
- Agriculture and markets: fragmented markets and low price realisation limit the gains from farm schemes, so direct income support is added on top; e.g. MSP; PM-KISAN direct income support since 2019 (see GS-3).
- Weak regulation: weak enforcement lets consumer, financial and service rules lag behind practice, which erodes trust in public programmes; e.g. Consumer Protection Act, 2019; RBI and SEBI (see GS-2 Polity Ch 10, Topic 4).
- Environment and growth: pollution, resource depletion and climate shocks mean that projects ignoring environmental costs often undo their own gains; e.g. groundwater over-use tackled by Atal Bhujal Yojana; SDG 13 on climate action.
| Intervention | Design feature | Implementation issue |
|---|---|---|
| MGNREGA (2005) | Demand-driven wage work; social audit by the Gram Sabha (Section 17) | Wage delays; weak follow-up of audit findings |
| PM-KISAN (2019) | ₹6,000 a year to landholding farmer families through DBT | Tied to land records, so tenant farmers and landless workers are left out |
| Jal Jeevan Mission (2019) | Tap water to every rural home; about 81.8% of rural households covered by 31 March 2026 | Source sustainability and upkeep; JJM 2.0 (approved March 2026) aims at Har Ghar Jal in all Gram Panchayats by December 2028 |
| Smart Cities Mission (2015) | 100 cities, special purpose vehicles and command centres; ₹48,000 crore central outlay | Closed on 31 March 2025; 94% of projects complete by May 2025; SPVs now being repurposed (Advisory 27, June 2025) |
| Swachh Bharat Mission-Grameen (2014) | Over 10 crore household toilets; over 6 lakh villages ODF by 2019 | Keeping toilets in use and managing solid and liquid waste (Phase II) |
Atal Bhujal Yojana: Objectives, Design and Impact
- Objectives: improves groundwater management through community participation, mainly by cutting demand and changing water use under panchayat leadership; e.g. launched on 25 December 2019 as Atal Jal (Ministry of Jal Shakti).
- Water Security Plans: Gram Panchayats measure and publicly share groundwater data and prepare yearly water budgets and Water Security Plans; e.g. piezometers, digital water-level recorders and rain gauges in the panchayats.
- Funding and incentives: a ₹6,000 crore outlay, half of it a World Bank loan, funds capacity building and rewards states for measured results; e.g. incentive funds released only after Quality Council of India verification; six years of work from 1 April 2020.
- Targeted coverage: the scheme concentrates on water-stressed areas instead of spreading thin across the country; e.g. 8,203 Gram Panchayats in 229 blocks of 80 districts in seven states, including Uttar Pradesh (see GS-5).
- Impact on water: groundwater levels have improved where communities acted and efficient irrigation has spread, but gains remain uneven across the covered blocks; e.g. 1,603 Gram Panchayats in only 83 of the 229 blocks improved; about 9 lakh hectares under drip and sprinkler (July 2025).
- Behaviour change: recharge works and public data have raised community awareness and participation in conserving groundwater; e.g. about 81,000 check dams, ponds and recharge shafts built or renovated; QCI found better awareness in Atal Jal areas.
Shortcomings in Design and Delivery
Good designs often stumble in delivery: thin staff, departmental silos and leakages decide how much of a scheme reaches people, and weak data hides the gap.
- Capacity and coordination: vacancies, red tape and overlapping departments slow projects and break convergence at the district level; e.g. 1,300 IAS vacancies against 6,877 sanctioned posts on 1 January 2025 (Lok Sabha reply, 2026).
- Leakages: middlemen, ghost beneficiaries and petty corruption eat into benefits before they reach the poor; e.g. fake and duplicate ration cards and LPG connections later weeded out by DBT (see Topic 5).
- Fiscal space: low social spending and fiscal limits restrict the scale and quality of welfare and infrastructure programmes; e.g. education 2.7% of GDP (2023-24 BE); social services 7.9% of GDP (2025-26 BE), Economic Survey.
- Informality and jobless growth: growth of about 6–7% has not created enough secure jobs, so most workers stay outside formal schemes; e.g. about 82% of the workforce in the informal sector and about 90% informally employed (India Employment Report 2024); over 31 crore workers on e-Shram by January 2026 (see GS-2 Social Justice: Workers and the Unorganised Sector).
- Data and last-mile gaps: weak data and low connectivity in villages hide exclusion and slow the digital delivery of schemes; e.g. 76.59 internet subscribers per 100 people (TRAI, March 2026).
Reforms and Way Forward
- Pay for results: link funds to verified outcomes, as Atal Jal does, and publish outcome data for every large scheme; e.g. Outcome Budget with OOMF; third-party verification by the Quality Council of India.
- Saturation through convergence: pool schemes in lagging areas and aim for full coverage of key indicators within fixed timelines; e.g. Sampoornata Abhiyaan (July to September 2024) for six indicators in aspirational districts and blocks.
- Community-led plans: let communities prepare and own local plans, so that their data and priorities, not central templates, decide what each scheme builds; e.g. Gram Panchayat Water Security Plans under Atal Jal; citizen involvement in planning urged by the Second ARC 12th Report (2009); social audit (see Ch 2, Topic 1).
- Digital delivery and skills: shift benefits to direct transfers and train officials for outcome-focused, technology-based delivery; e.g. DBT (see Topic 5); Mission Karmayogi (2020) (see Ch 2, Topic 4).
Interventions work when they set clear outcomes, give communities ownership and use reliable data; scaling the Atal Jal model of paying for verified results can turn spending into lasting change.
Based on NCERT, Standard Books references, Keywords from Syllabus and Previous Year question Papers
ICT in Policy Making and Implementation
Good design (Topic 1) increasingly rests on ICT in governance: the use of computers, networks, data and mobile platforms at every stage of public policy. The Information Technology Act, 2000 gave electronic records and digital signatures legal validity and so made digital government possible.
ICT in Policy Making: Data, Evidence and Consultation
ICT now does more than deliver services: it shapes how problems are found, how options are compared and how citizens are consulted.
- Geospatial planning: shared GIS layers and big data let ministries plan roads, railways and utilities together instead of in separate silos; e.g. PM GatiShakti National Master Plan: about 1,700 data layers from 57 ministries and 36 States/UTs; 293 projects worth ₹13.59 lakh crore evaluated (August 2025).
- AI strategy: artificial intelligence helps forecast risks and target scarce resources in health, farming and disaster planning; e.g. NITI Aayog’s National Strategy for AI (June 2018), branded “#AIforAll”, with five focus sectors.
- IndiaAI Mission: public compute, datasets and models lower the cost of building AI tools for government and start-ups; e.g. approved on 7 March 2024 with ₹10,371.92 crore; over 38,000 GPUs at ₹65 an hour by February 2026.
- Language access: AI translation and speech tools let people use services and give feedback in their own language; e.g. Bhashini (July 2022): 36+ languages and over 350 AI models (February 2026).
- Public consultation: online platforms and the public release of draft laws bring citizens’ views into policy before it is finalised; e.g. Pre-Legislative Consultation Policy (2014): drafts public for at least 30 days; MyGov polls and discussions (see Topic 3).
- Social media: official handles spread information in real time and pick up public mood and complaints quickly; e.g. COVID-19 vaccination and Swachh Bharat awareness campaigns.
ICT in Implementation and Service Delivery
- Project monitoring: video-conferencing, data and geospatial images let the top leadership clear stalled projects with states; e.g. PRAGATI (Pro-Active Governance and Timely Implementation, 2015): projects worth over ₹85 lakh crore fast-tracked; 2,958 of 3,187 issues resolved (January 2026).
- Public procurement: an online marketplace makes government buying open, faster and cheaper and lets small firms sell to the state; e.g. GeM (2016): ₹18.4 lakh crore cumulative GMV by June 2026; over 11 lakh MSMEs.
- Single-window services: one app, one document wallet and village kiosks bring many services to the citizen’s doorstep; e.g. UMANG, DigiLocker and 5.16 lakh CSCs (see Topic 4).
- Benefit transfer: money moves straight to bank accounts at national scale, cutting delay and middlemen in welfare delivery; e.g. PM-KISAN has paid over ₹4.46 lakh crore since 2019 (see Topic 5).
- Blockchain and IoT: tamper-proof ledgers and connected sensors make records harder to alter and services easier to track; e.g. blockchain pilots in land records and supply chains; IoT sensors linked to Smart City command centres.
ICT for Monitoring and Feedback
- Live dashboards: public dashboards rank districts and states on real-time data, turning monitoring into healthy competition; e.g. Champions of Change dashboard for aspirational districts; NITI Aayog’s SDG India Index (2018).
- City command centres: data, AI and IoT let city officials watch traffic, water and waste on one screen and respond quickly; e.g. Integrated Command and Control Centres in all 100 Smart Cities.
- Citizen feedback: online grievance systems and social media close the loop by telling officials what is failing on the ground; e.g. CPGRAMS (2007); redress time cut from 30 to 21 days in August 2024 (see Ch 2, Topic 3).
Limits: How Far Has ICT Helped?
ICT has made delivery faster and more visible, but its gains depend on who is connected, how good the data is and whether rights are protected.
- Digital divide: people without internet, devices or digital skills cannot use online services or join e-consultations; e.g. 48.31 internet subscribers per 100 people in rural areas against 126.80 in urban areas (TRAI, March 2026).
- Algorithmic bias: models trained on flawed data can wrongly exclude people, and opaque automated decisions are hard to appeal; e.g. the IndiaAI Mission (2024) keeps a separate “Safe and Trusted AI” pillar for this risk.
- Privacy: large government databases raise risks of profiling, surveillance and leaks unless their use is limited by law; e.g. Puttaswamy (2017): privacy is “an intrinsic part of the right to life and personal liberty under Article 21”; DPDP Act, 2023 (see Topic 3).
- Misinformation: fake news spreads faster than official correction and can derail health or law-and-order responses; e.g. IT Rules, 2021 (25 February 2021): grievance officers and first-originator tracing for large platforms.
- Capacity and cost: advanced systems are costly, and many offices lack the skilled staff to run them, so they stay under-used; e.g. automation may also displace routine clerical jobs.
- On balance: ICT has been highly useful in speeding delivery, procurement and monitoring, but only partly useful for the poorest and least connected; e.g. GeM and PRAGATI gains alongside the rural connectivity gap.
Reforms and Way Forward
- Responsible AI: test public AI systems for bias, keep a human decision-maker and allow appeals against automated outcomes; e.g. NITI Aayog’s AI strategy (2018) flags ethics, privacy and security.
- Assisted inclusion: offer assisted and vernacular channels so that digital-first services never become digital-only services; e.g. CSC operators in villages; IVR and SMS channels for app-based services.
- Rights-respecting regulation: curb misinformation through transparent rules that can stand judicial scrutiny and still protect free speech; e.g. Bombay High Court (Kunal Kamra, 20 September 2024) struck down the Fact Check Unit as violating Article 19.
- Skills and process reform: train officials and simplify processes before digitising them, so technology changes outcomes and not just forms; e.g. iGOT Karmayogi (see Ch 2, Topic 4); Second ARC 11th Report (2008) (see Topic 3).
ICT now runs through the whole policy cycle, from GatiShakti maps to PRAGATI reviews; closing the access gap and guarding rights will decide how far it helps the poorest.
Based on NCERT, Standard Books references, Keywords from Syllabus and Previous Year question Papers