Our Journals

Latest Issues

Our Experts

Latest Articles/Papers

Title: Impact of Generative AI (ChatGPT, Gemini, Copilot) on Learning Efficiency in the Indian Education System

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.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 2
Title: Components of the Money Supply Process in Bangladesh: An Analysis

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.

By Sabiha Akter
In Volume: 14,Issue: 2
Title: Liquidity Crisis in the Banking Sector: Actions, Implementation, and Solutions: Bangladesh Perspective

Abstract: This research report provides an in-depth analysis of the persistent liquidity crisis within Bangladesh's banking sector. Characterized by a severe shortage of available cash to meet obligations, the crisis threatens financial stability and long-term economic growth. The study identifies the multifaceted causes of the crisis, which are predominantly rooted in systemic governance failures rather than external shocks. Key factors include alarming levels of Non-Performing Loans (NPLs) driven by poor credit governance and willful defaults, a declining trend in deposit growth, significant capital flight, and foreign currency mismanagement. The report assesses the profound impacts of this crisis, including constrained credit flow to productive sectors, erosion of public trust, and heightened systemic risk. It evaluates recent regulatory interventions by Bangladesh Bank, such as the unification of weak banks and the introduction of the Bank Resolution Ordinance 2025. Through analytical review, the report concludes that while these are positive steps, their long-term efficacy depends on rigorous implementation. The study recommends a holistic strategy encompassing stringent governance reforms, aggressive NPL resolution through asset reconstruction companies, monetary and fiscal policy coordination, technological integration for transparency, and confidence-building measures to attract deposits. The findings underscore that a sustainable solution requires unwavering political will to address deep-seated institutional corruption and mismanagement.

By Selina Akhter
In Volume: 14,Issue: 2
Title: Impact of Generative AI (ChatGPT, Gemini, Copilot) on Learning Efficiency in the Indian Education System

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.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 2
Title: A Comparative Performance Appraisal of Bajaj Finance Ltd. and Tata Capital Financial Services Ltd.

Abstract: Non-Banking Financial Companies (NBFCs) play a crucial role in the Indian financial system by complementing banks in providing credit, promoting financial inclusion, and offering specialised financial services. The present study aims to evaluate the performance of selected NBFCs in India using key financial indicators. This research analyses profitability, liquidity, solvency, and efficiency ratios to assess the overall financial health of these organisations. Secondary data has been collected from annual reports and published financial statements of the selected NBFCs for a specific period. The findings reveal performance variations among NBFCs, highlighting strengths, weaknesses, and areas for improvement. This study conducts a comparative performance appraisal of two major Non-Banking Financial Companies operating in the National Capital Region (NCR) of India: Bajaj Finance Ltd. (Gurgaon) and Tata Capital Financial Services Ltd. (Noida). Using key financial metrics such as Assets Under Management (AUM), profitability ratios (Return on Assets - ROA, Return on Equity - ROE), net interest margin (NIM), asset quality (non-performing assets - NPAs), and capital adequacy, this paper evaluates the financial health, operational efficiency, and performance dynamics of both NBFCs. The findings highlight significant differences arising from their business strategies, asset quality, and scale of operations, providing actionable insights for investors, regulators, and stakeholders.

By Firoj Ahmed, Arvind Kumar Yadav
In Volume: 14,Issue: 2
Title: Hydrogen Peroxide: Poverty Implications on Green and Renewable Energy-Related Financial Literacy in Mexico and Bangladesh

Abstract: This comprehensive research examines the intricate and multifaceted relationship between financial literacy in green energy and entrenched poverty in Mexico and Bangladesh. It explores how systemic socioeconomic barriers fundamentally constrain accessibility to renewable energy technologies and associated financial services. Employing a robust mixed-methods strategy—integrating quantitative econometric analysis, qualitative evaluation of national policy frameworks, and advanced time series diagnostics—this study demonstrates that poverty generates multi-dimensional impediments to renewable energy uptake. These impediments include severely restricted access to tailored financial products, a profound lack of comprehension regarding green financing mechanisms, and deficient technical know-how. The findings reveal that both Mexico's ambitious goal of generating 35% of its electricity from clean sources by 2024 and Bangladesh's targets of 10% renewable energy by 2025 and 40% by 2041 are critically hindered within impoverished communities. In these contexts, financial literacy rates exhibit a strong negative correlation with poverty indices. Furthermore, the study employs unit root (ADF, KPSS, PP) and cointegration (Johansen) tests to analyze temporal trends, revealing the non-stationary nature of key variables like energy poverty and identifying long-run equilibrium between financial inclusion and technology adoption. The results provide critical, policy-relevant insights into how socioeconomic determinants shape energy transition dynamics in emerging economies, offering evidence-based recommendations for designing interventions that promote equitable and inclusive access to renewable energy technologies. The application of hydrogen peroxide H2O2 as a clean energy carrier has significant implications for financial literacy related to green and renewable energy, especially in countries like Mexico and Bangladesh. This comparative analysis seeks to explore how the adoption of H2O2 technology can enhance financial understanding and decision-making in impoverished communities.

By Muhammad Mahboob Ali, José G. Vargas-Hernández
In Volume: 14,Issue: 2

Latest / Previous Editions

abc

Volume:14, Issue:2

Jul-Dec
abc

Volume:14, Issue:1

Jan-Jun
abc

Volume:13, Issue:1

Jan-Jun
abc

Volume:13, Issue:2

Jul-Dec