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: 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: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.
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 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: Digital evolution of payment services has been a crucial and evolving trend that has been witnessed in the Indian financial market. Technological advancement, government support, and a rise in smartphone devices have encouraged people to opt for more digital means of transferring money and changing the structure of financial and money markets. This paper attempts to provide an empirical analysis of how consumer behavior is shaped by the evolving nature of digital payment services, especially in Meerut districts of Meerut, a Tier-2 city that constitutes a mix of both urban and semi-urban class consumer crowd. This paper attempts to provide an empirical analysis of how consumer behavior is shaped through a structured questionnaire covering a sample size of 100 people and employed statistical methods for hypothesis testing and analysis. Findings show that demographic characteristics are not a significant factor in changes in consumer expenditure behavior and shape and are shaped by aspects such as trust, ease of convenience, and perceived usefulness of services. Additionally, it was found that ease of services of digital payment further contributes to an improvement in consumer satisfaction levels.