Volume 1, Issue 2 (2025)

Uttar Pradesh occupies a distinctive position in India’s demographic and rural-development landscape because of its exceptionally large population, predominantly rural settlement structure, intensive agricultural economy and pronounced intra-state inequalities. This paper examines the geographical relationships between population dynamics and rural development in Uttar Pradesh, with particular attention to fertility transition, population momentum, age structure, land fragmentation, agricultural change, employment, poverty and regional disparities. The study adopts a descriptive, analytical and comparative research design based exclusively on secondary data. It draws primarily on Census of India 2011, official population projections for 2011–2036, NFHS-5, PLFS 2023–24, the National Multidimensional Poverty Index, Agriculture Census 2015–16, Agricultural Statistics at a Glance 2024–25 and recent official and scholarly studies. The analysis shows that fertility has declined substantially, yet population momentum continues: Uttar Pradesh is projected to have about 242.9 million residents in 2026, while the working-age share is projected at 62.8 per cent. Rural areas continue to contain the majority of the population, and demographic pressure interacts with highly fragmented operational holdings, limited non-farm employment and uneven infrastructure. At the same time, strong foodgrain production and substantial multidimensional-poverty reduction demonstrate that high population density does not mechanically produce rural stagnation. Development outcomes are mediated by irrigation, market accessibility, agrarian relations, human capabilities and regional location. The paper concludes that Uttar Pradesh requires geographically differentiated rural-development strategies that combine demographic transition with productive employment, farm consolidation through cooperation, human-capital investment and improved service functionality.

Artificial intelligence (AI) is rapidly becoming a general-purpose technology, but its environmental footprint is also expanding through electricity demand, data-centre construction, semiconductor production, cooling, water use and accelerated turnover of electronic equipment. This paper evaluates environmental sustainability in the era of AI through a life-cycle framework focusing on energy consumption, electronic waste (e-waste), water demand, critical minerals, rebound effects and emerging governance challenges. The study applies a descriptive and analytical secondary-data methodology using evidence from the International Energy Agency (IEA), International Telecommunication Union (ITU), United Nations Institute for Training and Research (UNITAR), United Nations Conference on Trade and Development (UNCTAD), United Nations Environment Programme (UNEP), Organisation for Economic Co-operation and Development (OECD), and peer-reviewed studies published through 2025. The IEA estimated global data-centre electricity consumption at about 415 TWh in 2024, roughly 1.5% of global electricity use, and projected approximately 945 TWh by 2030 in its base case, with AI as the most important contributor to growth. Global e-waste reached 62 million tonnes in 2022, while only 22.3% was documented as formally collected and environmentally soundly recycled; the total is projected to reach 82 million tonnes by 2030. The analysis shows that efficiency gains alone cannot guarantee sustainability because growing demand, increasingly complex models, short hardware replacement cycles and rebound effects may offset resource savings. A sustainable AI pathway therefore requires transparent life-cycle measurement, low-carbon electricity, efficient and task-appropriate models, water-sensitive infrastructure, extended hardware life, circular-economy systems and environmental standards that distribute benefits and burdens more equitably.

Rapid urbanisation, industrialisation, motorisation and energy consumption have intensified atmospheric pollution across Indian cities, yet the spatial distribution of urban pollution is considerably more complex than the conventional image of a uniformly polluted city centre. This paper examines the spatio-temporal characteristics, principal drivers and environmental implications of urban pollution domes in India through a critical synthesis of satellite observations, ground-based air-quality measurements, meteorological evidence and recent peer-reviewed research. The study is secondary-data based and adopts a descriptive-analytical and comparative geographical approach. Particular attention is given to the Urban Aerosol Island framework, in which aerosol optical depth or particulate concentrations over urban areas are compared with their non-urban surroundings. Evidence from 141 Indian cities demonstrates a pronounced geographical contrast: conventional Urban Aerosol Pollution Islands are more prevalent in southern and southeastern cities, whereas many northern and northwestern cities display relative Urban Aerosol Clean Islands because high regional background aerosol loading can obscure or “puncture” the urban dome. Seasonal variations are equally important, with post-monsoon conditions favouring positive urban aerosol contrasts, while transported mineral dust increasingly influences northern and western India during winter and pre-monsoon periods. Local emissions, urban morphology, wind stilling, atmospheric stability, regional dust transport, biomass burning and agricultural land-use cycles collectively determine pollution-dome intensity. The paper concludes that Indian urban air pollution cannot be effectively governed through city-specific emission control alone. Integrated urban–regional airshed management, improved urban–rural monitoring and stronger coupling of satellite and surface observations are required for effective clean-air policy.

Geography occupies a distinctive position in Indian higher education because it connects the physical sciences, social sciences, environmental studies and rapidly expanding geospatial technologies. Yet its undergraduate status remains marked by a paradox: the societal relevance of geographical knowledge is increasing at the same time as longstanding concerns persist regarding disciplinary identity, curriculum modernisation, teaching quality, infrastructure and graduate employability. This paper examines the changing position of undergraduate geography in India and evaluates its future prospects in the context of higher-education expansion, the National Education Policy (NEP) 2020 and the emerging geospatial economy. The study adopts a descriptive, analytical and comparative secondary-data design. Evidence is drawn primarily from the All India Survey on Higher Education (AISHE) 2023–24, University Grants Commission frameworks, NEP 2020, national geospatial policy documents, selected university curricula and peer-reviewed scholarship on geography education. The analysis shows that India’s higher-education system has expanded substantially and curricular reform is creating opportunities for interdisciplinary, flexible and skill-oriented geography programmes. Simultaneously, the discipline faces uneven curricular modernisation, limited comparability of undergraduate geography statistics, variable access to laboratories and geospatial facilities, fragmentation between physical and human geography, and the risk of reducing GIS education to software training. The paper argues that geography’s future does not depend on becoming solely technical or vocational. Its strongest prospect lies in integrating critical spatial thinking, field-based inquiry, human–environment analysis, quantitative and qualitative methods, GIS and remote sensing, sustainability and locally grounded research. Such integration can reposition undergraduate geography as an intellectually coherent and professionally relevant discipline in India.

The expansion of higher education in India has intensified concern about whether undergraduate degrees provide graduates with capabilities that can be converted into meaningful employment and professional mobility. Geography occupies a distinctive position in this debate because it combines knowledge of human–environment relations with field investigation, quantitative analysis, cartography, Geographic Information Systems (GIS), remote sensing and other forms of spatial analysis. This paper examines the relationship between employability and skill development in undergraduate geography education in India and evaluates the extent to which recent higher-education and geospatial policies create conditions for stronger labour-market relevance. The study adopts a qualitative, analytical and secondary-data-based research design. Evidence is drawn from the All India Survey on Higher Education (AISHE) 2023–24, Periodic Labour Force Survey (PLFS) 2025, National Education Policy 2020, University Grants Commission frameworks and guidelines, the National Geospatial Policy 2022, recent government initiatives, and peer-reviewed scholarship on graduate employability and geography education. The analysis finds that geography possesses substantial intrinsic employability potential, particularly through geospatial, field-based, analytical and interdisciplinary competencies. However, this potential is not automatically converted into graduate employability. Major constraints include uneven curricular standardisation, variable institutional capacity, inadequate integration of authentic projects and work experience, weak career signalling, and limited national data on undergraduate geography outcomes. The paper argues for an outcomes-based geography curriculum combining disciplinary depth with progressively developed geospatial skills, field inquiry, data literacy, internships, applied projects and professional portfolios. Such reform can strengthen employability without reducing geography to narrowly vocational training.