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Title: An Analytical Study of the Legal Position and Role of Securities & Exchange Board of India (SEBI)

Abstract: This paper highlights a long journey towards regulatory enhancement within the SEBI ecosystem through the lens of data analysis. The objective is to clear amalgamate existing SEBI systems with those deemed desirable according to the fundamental principles of regulation. It also provides the whole outcome of the research study based on the analysis. It also suggest various policy implications to the researcher and government for an efficient and transparent regulatory environment in the country. In conclusion, it provides a thorough analysis of the enforcement procedures employed by the Securities and Exchange Board of India (SEBI), elucidating their effectiveness, equity, and efficiency. Through rigorous data analysis and empirical inquiry, we have dissected the regulatory landscape, uncovering insights that transcend mere statistics. Our findings add to the current conversation about how well regulations work, how accountable institutions are, and how safe investors are in India's financial markets. They also aim to make SEBI's regulatory system more open, accountable, and trustworthy.

By M.P. Verma, Deepa Singh Yadav
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: Impact Assessment of Rural Credit Mechanisms on Agricultural Growth and Livelihood Improvement

Abstract: Rural credit plays a crucial role in promoting agricultural growth and improving the livelihoods of rural households in developing economies, particularly in India. This research paper evaluates the impact of various rural credit mechanisms, including institutional finance, cooperative credit, microfinance, and government-sponsored schemes, on agricultural productivity and livelihood enhancement. Using secondary data from national surveys, published research, and policy documents, the study highlights how access to affordable and timely credit facilitates technological adoption, crop diversification, employment generation, income growth, and poverty reduction. The findings indicate that institutional credit significantly contributes to agricultural productivity and livelihood security. However, challenges such as regional imbalances, procedural complexities, and rising indebtedness remain. The study concludes with policy recommendations to strengthen rural credit delivery systems and ensure sustainable and inclusive rural development.

By Imran Ahmed, Arvind Kumar Yadav
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: 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
Title: The Inflation-Unemployment Trade-Off in Bangladesh: Empirical Insights for Accelerating Progress towards Zero Poverty (SDG 1)

Abstract: This study empirically investigates the inflation-unemployment trade-off in Bangladesh and assesses its implications for achieving Sustainable Development Goal 1 (SDG 1) of zero poverty. High inflation erodes the real income of the poor, while unemployment directly limits earning capabilities, making the interplay between these variables a central determinant of poverty reduction. Using annual time-series data from 1990 to 2024, we employ an Autoregressive Distributed Lag (ARDL) model to test for the existence and stability of a long-run relationship. Our findings confirm a significant short-run trade-off but reveal that this relationship is unstable and weakens in the long run, suggesting that other structural factors dominate. The results indicate that unanticipated inflationary shocks disproportionately harm the poor, and persistent unemployment remains a formidable barrier to inclusive growth. The study concludes that a singular focus on either price stability or employment generation is insufficient for attaining SDG 1. Instead, Bangladesh requires an integrated policy framework that combines prudent monetary policy to control the inflation rate with targeted fiscal measures, investments in human capital, and productive sector diversification to generate new employment opportunities. This holistic approach is essential to effectively manage the trade-off and accelerate progress towards eliminating poverty.

By Shuvongkor Kumar Datta, S.K.S. Yadav, Jubair Ansary, Ariful Islam
In Volume: 14,Issue: 2

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Volume:13, Issue:1

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Volume:13, Issue:2

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