Public Policy

Authors : Anuja Amralkar , Yashaswini Yadav , Anushka Dixit

ABSTRACT

This study examines the legal, constitutional, and administrative effects of the Transgender Persons (Protection of Rights) Act and the later 2026 amendment, alongside the constitutional protections guaranteed under Articles 14, 15, 19, and 21 of the Indian Constitution and the Supreme Court’s landmark judgment in NALSA v. Union of India. By looking closely at how procedural delays, medical board rules, and mandatory ID checks create administrative gatekeeping hurdles that impact personal dignity, this research maps out a constructive way forward using global models and cooperative federalism. Using a qualitative doctrinal and desk-based legal and policy analysis rather than primary field case studies, the paper clearly separates what the written statutory text says from actual administrative realities and prospective projections. It highlights practical policy solutions, such as official selfidentification, simpler paperwork, community support groups, and better trans-friendly healthcare. Ultimately, this study shows how public systems can be reformed to truly protect personal dignity, guarantee fair welfare access, and uphold constitutional rights for all genderdiverse people.

Keywords:
Transgender Rights, NALSA Precedent, Article 14, 15, 19 and 21, Constitutional Protections, Self-Identification, Cooperative Federalism, Personal Dignity, Gender Diversity

Authors : Mannat Siwach , Siddhant Pandey , Priyanshi Jha , Mishka Singh , Tarandeep Kaur , Rajnish Katare

ABSTRACT

Artificial Intelligence, as a disruptive force, is bringing unprecedented changes in the skills and competencies required for a graduate to become employable in today’s day and age; however, India’s National Education Policy (NEP) 2020 has come forward as a framework for strengthening higher education through the inclusion of multidisciplinary learning, skill development, practical exposure, and increasing alignment with industry requirements. This paper examines whether these strategies remain sufficiently responsive to an evolving AIdriven labour market. The study employs a mixed-method approach, combining a review of existing literature with primary questionnaire-based research. On the survey responses of students and professionals, the study applies descriptive statistics, frequency distributions, percentages, and mean scores to assess perceptions of implementation, AI readiness, and emerging skill requirements. Further, it uses a thematic analysis to compare the emerging patterns with themes identified in the literature. The findings indicate that although NEP 2020 provides a relevant framework for developing multidisciplinary and future-oriented competencies, gaps remain between its intended provisions and students’ practical exposure to AI-related skills, industry requirements, and employability preparation, suggesting that the policy is conceptually relevant but insufficiently aligned with emerging AI-era requirements. The study recommends increased emphasis on effective policy implementation and a shift in the core framework towards AI literacy, upskilling and greater integration of digital and data capabilities within higher education.

Keywords
National Education Policy 2020, Employability, AI Literacy, Multidisciplinary Learning, Higher Education, Future-ready Skills

Authors : Aditi Tiwari , Aditi Thakur , Upama Paul

Abstract

India’s unemployment sector showcases an unusual trend. Unemployment rises with education rather than falling. This study is being conducted to find whether the source of this issue lies in the demand side or the supply side of the sector. The supply side predicts that the issue lies with the lack of skills within the youth. Whereas the demand side of the issue states the problem lies in the volume of formal wage jobs present in the economy. We find through our research that available evidence is stronger in support of the demand side explanation of the problem. This evidence is presented through the administrative and audit reports of Pradhan Mantri Kaushal Vikas yojana, the periodic labour force data and the CAG’s 2025 report. The analysis relies on aggregate secondary data rather than individual level data, therefore these findings are presented as associations and not established causal effects. The study showcases how while upskilling is important, it is not enough to solve the problem of educated unemployment within the country.

Keywords:
Educated unemployment, Periodic Labour Force Survey, skill development, PMKVY, labour demand

Authors : Akshita Bhatt , Ishika Agrawal , Ishita Tripathi , Ishita Khandelwal , Joel Kimanthi

Abstract

Digitalisation is often presented as a way to make public-service delivery more efficient, but greater administrative efficiency does not necessarily mean lower costs for citizens. This paper examines how digital public services can contribute to socioeconomic exclusion through the redistribution of access and transaction costs. Using secondary evidence from India and Kenya, the paper examines how digital requirements interact with unequal resources, accessibility conditions and available support. Across the evidence, barriers involving connectivity, literacy, documentation, authentication and service design can create additional costs for citizens in the form of time, expenditure, effort, repeated attempts and reliance on others. These burdens are uneven and can affect whether access is independent, assisted, burdened or results in exclusion. The evidence differs across the two countries, but in both settings digitalisation can change where the work and costs involved in accessing a service are located. Assessing digital governance therefore requires looking at citizen-side burdens alongside administrative efficiency.

Keywords:
digital governance; digital exclusion; transaction costs; administrative burden; accessibility; socioeconomic inequality

Authors : Linda John Obiorah, Banavath Ananditha, Mrinalini Menon, Paridhi Passi, B. R. Sanjeev Naick

Abstract :

Artificial Intelligence (AI) is proving to be a crucial technology to enhance public service and governance. This paper examines how governance frameworks and institutional capacities shape AI adoption and management within government systems. By adopting a qualitative comparative case study analysis, using India and Nigeria as primary cases and South Korea as a benchmark for successful AI governance implementation, this paper examines the governance and institutional preparedness of AI in the public sector and identifies practical lessons on building governance structures and institutional foundations for responsible AI adoption. The analysis suggests that India possesses a more evolved framework for AI governance, enforced by the National Strategy for Artificial Intelligence (2018), and the India AI Mission (2024), a well-developed digital public infrastructure, and a strong focus on the development of skills and training. The National Artificial Intelligence Strategy (2024) indicates Nigeria’s growing institutional commitment to AI, as well as notable strides towards preparedness. South Korea is introduced as a benchmark, representing a more advanced AI governance model that offers concrete lessons for developing economies. Despite these disparities, the common concerns include the disconnect between policy aspirations and policy implementation, difficulty in developing specific AI laws, and concerns about accountability, transparency, bias, privacy and digital inclusion. The study calls for specific AI legislation, autonomous regulatory bodies, and more effective data governance between developing countries. It contends that institutional building and the institutionalization process are key to having responsible, sustainable and adaptive AI governance in the Global South, and that governance progress must be measured against concrete indicators like enforcement action, institutional capacity, digital literacy rates, public accountability and operationalization of independent bodies rather than policy adoption alone.

Keywords:
Artificial Intelligence Governance, Institutional Readiness, Public Sector AI, Digital Governance, AI Regulation.

Authors : Rachael Osioyemi Olaiya, Shreeya Gupta, Arya Rani, Nithin Reddy

Abstract :

India and Nigeria are two of the world’s largest developing economies, both marked by young, fast-growing populations and fundamental youth unemployment, prompting governments to create entrepreneurship programmes. Despite these programmes, most businesses remain informal. Roughly 80% of Nigerian SMEs fail within five years, and nearly 90% of India’s youth workforce is informally employed. Output-focused evaluations fail to capture the implementation gap between formal policy and its on-the-ground effectiveness. This paper evaluates why youth entrepreneurship policies in India and Nigeria consistently fail to produce sustainable outcomes, and what both countries can learn from economies that have successfully closed this gap. Adopting a qualitative-comparative case study approach, the paper examines India and Nigeria as primary cases benchmarked against South Korea and Rwanda. Drawing on national MSME surveys, ILOSTAT, World Bank Enterprise Survey, GEM India, and government program evaluations, the paper applies Stam’s Entrepreneurial Ecosystem Framework as the analytical lens across all four countries. The analysis reveals that India and Nigeria’s ecosystems remain weak across formal institutions, finance, infrastructure, and intermediate organisations, reflecting a governance approach that controls outcomes rather than building conditions required by businesses to grow and formalise. South Korea’s unified SME Ministry, collateral-free policy funds, alongside Rwanda’s regulatory reforms, demonstrate that closing this gap requires deliberate ecosystem governance rather than direct financial interjection. The paper concludes that high failure rates reflect design flaws in ecosystems built for the formalized urban minority, not low entrepreneurial ambition, and calls for development policy to measure success by accessible infrastructure rather than loan disbursement volume.

Keywords:
Youth Entrepreneurship, Implementation Gap, Entrepreneurial Ecosystems, Informality, Ecosystem Governance, India, Nigeria

Authors : Ritu Sundrani, Sneha Shukla, Aviya Chauhan, Karabo Ralethohlane

Abstract :

The country-specific investigation dives into the structural challenges of youth unemployment across India, South Africa and Nigeria. It undertakes critical analysis of policies like PMKVY, PYEI and N-Power of respective nations to highlight the implementation gaps, structural mismatches and post- program “transitional cliff”. Further, the gig economy despite offering alternate livelihood opportunities creates a regulatory safety vacuum which requires structural policy actions. The study emphasizes on reorientation of policy architecture towards demanddriven ecosystem, private sector participation and digitally inclusive policies to tackle youth unemployment problem in the Global South.

KEYWORDS :
Youth unemployment, Active Labour Market Programs (ALMPs), structural mismatches, Global South, Skill development

Authors : Pushpa Akshaya Miriyala , Armaan Sareen , Shravani Tharanath

Abstract :

India’s flagship welfare schemes – Pradhan Mantri Awaas Yojana-Gramin (PMAY-G) and POSHAN Abhiyaan, represent landmark commitments to rural housing provisioning and nutritional security respectively. Yet persistent gap separates the administrative growth outputs with substantive development outcomes. This paper undertakes a qualitative output-versus- outcome analysis of both schemes, interrogating structural gaps between quantitative delivery metrics – houses sanctioned, anganwadi coverage, beneficiaries enrolled and lived realities of human capability enhancement. The study critically examines how implementation accuracy, convergence deficits, workforce vacancies, community level absorption mediate the translation of output impact to welfare impact. Data from NFHS-4&5 trends, CAG audit observations, POSHAN tracker data bring a systemic mark: output saturation co-existing with outcome stagnation. The paper argues for realigned evaluation that centres nutritional security and housing quality as primary indices of scheme effectiveness over mere physical completion rates.

KEYWORDS :

Maternal Morbidity, Open Defecation (ODF), Aspirational Districts, Anganwadi Health Workers (AHW), Take Home Rations, Growth Monitoring Promotion Sessions.