Accelerating Progress towards Sustainable Development Goals in India: A 2025 Perspective
Abstract India, a signatory to the 2030 Agenda for Sustainable Development, has made notable progress in achieving the Sustainable Development Goals (SDGs). However, with 2025 marking the midpoint, it is important to assess the country's progress and challenges. This paper focuses on India's advancements in five key SDGs: No Poverty (SDG 1), Quality Education (SDG 4), Clean Water and Sanitation (SDG 6), Affordable and Clean Energy (SDG 7), and Sustainable Cities and Communities (SDG 11). Through a mixed-methods approach, combining quantitative data and qualitative insights, the study identifies achievements in poverty reduction, education, and infrastructure, while highlighting ongoing challenges such as regional disparities and policy gaps. The paper offers strategic recommendations for accelerating progress. The analysis draws from national datasets, government reports, and field-level observations to provide a comprehensive overview. It finds that targeted social welfare schemes have played a significant role in reducing poverty levels, particularly in rural areas. Improvements in access to primary education and digital learning have contributed to better educational outcomes. However, quality and equity in education remain pressing concerns. Progress in water and sanitation has been significant through programs like Swachh Bharat Abhiyan, yet issues like water scarcity and poor urban sanitation persist. Similarly, while renewable energy capacity has expanded under initiatives such as the National Solar Mission, challenges in energy access and affordability continue. Urban development remains uneven, with rapid urbanization straining housing, transportation, and waste management systems. The paper concludes with actionable policy suggestions emphasizing inclusive growth, decentralized planning, and stronger inter-sectoral coordination to ensure India remains on track to achieve the SDGs by 2030.
Institutions
- Department of Commerce (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-28
- DOI
- https://doi.org/10.5281/zenodo.15674062
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00