Abstract: Generative Artificial Intelligence (GenAI) has emerged as one of the most influential technological developments shaping modern learning environments. Tools such as ChatGPT, Google Gemini, and Microsoft Copilot are increasingly being used by Indian students and teachers for explanation, summarization, content generation, and academic support. This study examines how these tools influence learning efficiency in the Indian education system. Using a mixed-method design consisting of a structured student–teacher survey and focused interviews, the study explores changes in understanding, productivity, doubt-clearing, academic confidence, and skill development. Findings reveal that GenAI significantly enhances conceptual clarity, reduces learning time, and supports self-paced learning. However, concerns remain regarding over-dependence, misinformation, ethical use, and unequal access. The paper concludes with recommendations for responsible AI integration in Indian classrooms.
Abstract: This study investigates the relationship between national income and tourism expenditure, framed within the context of the Engel curve, for six South Asian nations with significant potential for Halal tourism: Bangladesh, India, Maldives, Nepal, Pakistan, and Sri Lanka. Utilizing a Generalized Least Squares (GLS) model on panel data from 2000 to 2024, we analyze the impact of GDP per capita on outbound tourism expenditure. Our findings indicate a positive and elastic income elasticity of tourism demand (0.989), signifying that tourism is a luxury good and that financial outlay on travel increases more than proportionally with income. The results underscore the critical opportunity for these countries to develop their Halal tourism sectors to capture a share of this elastic expenditure, thereby fostering economic diversification and employment generation. The study concludes with targeted policy recommendations aimed at leveraging this income-elastic demand for sustainable economic development.
Abstract: This study investigates the perceived barriers hindering the adoption of green products within the educational ecosystem of Meerut, India, specifically adopting an institutional perspective. Recognizing educational institutions as crucial agents for promoting sustainability, the research aims to identify the structural, procedural, and normative impediments faced by schools, colleges, and universities in transitioning towards environmentally preferable goods and services. Utilizing a qualitative approach, data was gathered from secondary sources, through online mode and focus group discussions with key institutional stakeholders, including administrators, and faculty members in Meerut. The analysis reveals a complex interplay of perceived barriers operating at multiple institutional levels. Key impediments identified include: 1) Economic Constraints: Predominant concerns regarding the higher initial costs, green products and stringent, inflexible budgetary allocations; 2) Structural & Procedural Hurdles: Lack of clear institutional green procurement policies, cumbersome bureaucratic approval processes, and limited access to reliable suppliers/vendors offering certified green alternatives; 3) Behavioral & Awareness Factors: Insufficient institutional commitment and leadership prioritization, resistance to changing established procurement habits, and a lack of awareness or training among institution stakeholders regarding the benefits and availability of green options. The findings emphasize that overcoming these barriers requires targeted intervention sat the institutional level, including the formulation of supportive green procurement policies, dedicated budgetary provisions, streamlined processes, capacity building, and fostering a stronger organizational culture of sustainability.
Abstract: This study provides a comprehensive assessment of the components and effectiveness of the money supply process in Bangladesh, with a particular focus on its underlying determinants, trends, and policy implications. The primary objective is to evaluate whether the existing money supply mechanism, as implemented by the Bangladesh Bank, is effective in meeting the country’s macroeconomic objectives of price stability, economic growth, and financial stability. The research adopts a mixed-method approach, integrating both descriptive and econometric analyses. Descriptive statistics and trend analysis are used to examine the historical patterns of monetary aggregates namely the monetary base (H), money multiplier (m), narrow money (M1), and broad money (M2) over the past two decades.
The results reveal that the money supply process in Bangladesh exhibits both short-run volatility and long-run stability, with the monetary base and money multiplier jointly influencing the expansion of M2. Co-integration tests confirm the existence of long-term equilibrium relationships among monetary aggregates, while ECM results suggest a moderate speed of adjustment toward equilibrium following shocks. However, structural break analysis indicates that global financial crises, domestic policy shifts, and recent pandemic-related disruptions have caused significant short-term deviations.
The findings highlight that although the Bangladesh Bank’s monetary policy framework has been largely effective in steering the long-run trajectory of the money supply, challenges remain in managing short-run fluctuations and in aligning monetary expansion with real economic growth. The study concludes with policy recommendations aimed at enhancing the effectiveness of the money supply process, including improving forecasting models, strengthening monetary transmission mechanisms, and enhancing coordination between monetary and fiscal policy.
Abstract: The National Stock Exchange (NSE) of India plays a crucial role in trading stocks, derivatives, and debt instruments. Between 2021 and 2025, global economic uncertainty, driven by pandemic effects, fluctuating interest rates, geopolitical conflicts, and shifts in capital movements, significantly impacted financial markets, including the NSE. This research investigates how challenges like post-pandemic recovery, changes in foreign investment, and tightening monetary policies affected the NSE’s income and trading activity. By analysing secondary data from financial statements and economic reports, the study evaluates trends in revenue, net profits, and trading volumes. Increased global uncertainty led to market volatility and corrections in equity indices. Despite these challenges, the NSE's robust domestic investor base and diversified revenue helped mitigate adverse effects. The findings highlight the importance of adaptive risk management and regulatory consistency in maintaining financial performance during global instability.
Abstract: This study examines pawnbroking's impact on social entrepreneurship and its implications for social development. It posits that Pawnbroking aids vulnerable entrepreneurs, often excluded from formal credit, in accessing quick financial resources, thereby enhancing social entrepreneurship. Through a meta-analysis and literature review, including three case studies from Bangladesh, the findings indicate that, despite exploitative practices, pawnshops are vital for providing the impoverished with financial access and supporting social welfare. However, risks such as asset loss, debt cycles, and exploitation of desperate borrowers are also highlighted. The study emphasizes the need for regulatory oversight and more accessible financial systems that protect borrowers while maintaining accessibility. Overall, pawnbroking offers both advantages and challenges for local communities in Bangladesh, necessitating a balance between quick cash access and consumer protections to promote healthier community dynamics.