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.
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 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.
Abstract: Bangladesh's rich textile heritage offers powerful, yet distinct, models for sustainable development. This study conducts a comparative analysis of two premier handloom sectors: the intricate Jamdani weaving of Tangail and the symbolic Khadi fabric of Cumilla. Framed within green economy principles, the research examines their socio-economic viability, environmental footprint, and potential as engines for pollution-free community development. Employing a mixed-methods approach (July-December 2025), the analysis incorporates surveys, environmental impact assessment, and case studies of both a "GI Gold" Jamdani export initiative and a revived Khadi business plan. Key comparative findings reveal: (1) Both sectors possess underutilized Geographical Indication (GI) status, but face different market challenges—Jamdani contends with high-skill imitation, while Khadi battles generic, low-cost substitutes; (2) their production paradigms, though both low-pollution, differ fundamentally, with Jamdani emphasizing artistic virtuosity and Khadi embodying philosophical self-reliance; and (3) their developmental contexts vary, with Tangail's model being craft-cluster centric and Cumilla's requiring synergistic infrastructure (e.g., airport revival) for growth. The study concludes that while both heritage textiles are potent vehicles for sustainable development, tailored, integrated strategies—recognizing their unique cultural, economic, and infrastructural ecosystems—are essential to unlock their full potential for artisan well-being, cultural preservation, and green economic growth in their respective regions.
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.