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.
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.
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: Due to imports of goods and particularly textiles, gems, seafood, and electronics, the United States presents tariff levels that are very high to Indian exports and this presents a great challenge to Indian trade balance and GDP. This paper will examine the economic effects of these tariffs, examine the bilateral trade pattern between India and the U.S., and provide an internal policy action to alleviate the effect. It also analyses strategic potential of the India UK Free Trade Agreement (FTA) as hedge against U.S trade headwinds. By quantitatively supported thought and sectoral knowledge, the paper draws a plan on how India can be resilient in exports and its economy.
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: 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.