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: The rapid proliferation of digital technologies has fundamentally transformed the global trade landscape, with e-commerce and digital trade emerging as dominant forces reshaping traditional trade architectures. This paper examines the multifaceted impact of digital trade and e-commerce on global trade structures, analyzing key trends, challenges, and policy implications. Through comprehensive analysis of empirical data and theoretical frameworks, we demonstrate how digital platforms have reduced transaction costs, democratized access to international markets, and created new regulatory challenges. Our findings indicate that digital trade now accounts for a significant portion of global GDP, with cross-border e-commerce growing at unprecedented rates. However, this transformation has also highlighted critical issues including digital divides, data governance concerns, and the need for updated international trade frameworks. This research contributes to understanding how digital trade is reconfiguring global value chains and what policy interventions are necessary to ensure inclusive and sustainable growth in the digital economy.
Abstract: This paper intends to argue that incorporating entrepreneurial education into school and college curricula is essential for developing a creative and resilient mindset in young people, transforming job seekers into producers and improving initiatives like Startup India. It divides its analysis into four main sections: an introduction that presents entrepreneurship as an essential component of education that aligns with SDG 4's objectives for skill development; a comparison of NEP's visionary reforms towards experiential, multidisciplinary learning with pre-NEP 2020 issues like rote learning, vocational silos, and skills mismatches; an analysis of new teaching methods, emphasising flexible structures like credit banks and interdisciplinary enterprise skills; and A list of crucial actions for implementing NEP 2020, including teacher training and innovation councils, have also been analysed. This paper is a descriptive study, which relies on government reports and documents to study the performance of NEP in fostering innovation and entrepreneurship.
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: 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.
Abstract: This study examines the differential approach to risk management strategies concerning Non-Performing Assets (NPA) within India's two foremost banks – the Indian Public Sector Bank, State Bank of India (SBI) and the Indian Private Sector Bank, ICICI Bank. While comparing the two banks, using a mixed-method approach, the research combines quantitative analysis of trends in financial indicators (Gross and Net NPA ratios, Provision Coverage Ratio and Return on Assets) and a qualitative analysis of credit appraisal and monitoring and recovery frameworks. Data from 2010-2025 were taken from RBI publications, annual reports and credible academic studies, so there was authenticity and reliability of data.
Findings show that SBI's recovery centered reforms such as better provisioning (PCR increase from 70.88% to 75%), restructuring under Insolvency and Bankruptcy Code (IBC) and improved post-sanction monitoring have led to a reduction in Gross NPAs by 47% and significant improvement in profitability (ROA increased from 0.48% to 1.1%). On the other hand , ICICI Bank's proactive and technology-driven risk model, with AI-driven early warning systems, digitised credit scoring and stringent underwriting, regularly maintained low NPAs (down from 3.05% to 1.67%) and enhanced profitability (ROA doubling to 2.0%). Correlation study reports we see that there is a very strong inverse relationship between NPAs, provisioning, Net NPA ratio and profitability (r approx –0.9) which means as NPAs and provisioning go up Net NPA ratio and profitability goes down. This is proof that what we put in place for credit assessment, early identification and recovery does in fact directly improve banks’ performance. We found out that what made SBI successful was its recovery and restructurizing which made ICICI’s success was in prevention and technology based monitoring. Also brought to light is the fact that what is key in the Indian banking system is the integration between AI, data analysis and good governance which banks use in risk management and in the end in the maintenance of asset quality in a sustainable way.