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.
Abstract: This study provides a comprehensive assessment of the components and effectiveness of the money supply process in Bangladesh, with a particular focus on its underlying determinants, trends, and policy implications. The primary objective is to evaluate whether the existing money supply mechanism, as implemented by the Bangladesh Bank, is effective in meeting the country’s macroeconomic objectives of price stability, economic growth, and financial stability. The research adopts a mixed-method approach, integrating both descriptive and econometric analyses. Descriptive statistics and trend analysis are used to examine the historical patterns of monetary aggregates namely the monetary base (H), money multiplier (m), narrow money (M1), and broad money (M2) over the past two decades.
The results reveal that the money supply process in Bangladesh exhibits both short-run volatility and long-run stability, with the monetary base and money multiplier jointly influencing the expansion of M2. Co-integration tests confirm the existence of long-term equilibrium relationships among monetary aggregates, while ECM results suggest a moderate speed of adjustment toward equilibrium following shocks. However, structural break analysis indicates that global financial crises, domestic policy shifts, and recent pandemic-related disruptions have caused significant short-term deviations.
The findings highlight that although the Bangladesh Bank’s monetary policy framework has been largely effective in steering the long-run trajectory of the money supply, challenges remain in managing short-run fluctuations and in aligning monetary expansion with real economic growth. The study concludes with policy recommendations aimed at enhancing the effectiveness of the money supply process, including improving forecasting models, strengthening monetary transmission mechanisms, and enhancing coordination between monetary and fiscal policy.
Abstract: This research explores the impact of India's Atmanirbhar Bharat (Self-Reliant India) policy on its trade relations with China, emphasising their role in global supply chains. It analyses changes in trade patterns, import dependency, export results, and sectoral shifts since the policy's 2020 implementation. By combining quantitative data with qualitative evaluations, the study reveals that the Atmanirbhar Bharat initiative has introduced strategic measures for import substitution, supply chain diversification, and domestic industry support, focusing on enhancing local manufacturing, technological innovation, and entrepreneurship. The study highlights India's structural trade imbalances with China, driven by its significant demand for intermediate goods and capital equipment crucial for manufacturing. This dependence poses challenges to India's self-reliance and complicates trade relations in a globalised economy. The paper offers policy recommendations to enhance trade resilience and competitiveness against Chinese imports, including investing in infrastructure, promoting research and development, and forming strategic international partnerships to mitigate trade imbalances and support sustainable growth.
Abstract: Purpose: This article examines the role that psychological resilience plays in helping gig workers navigate the uncertainties and pressures of platform-based labour. The primary objective is to identify important elements contributing resilience and propose practical implications for those in HR positions and for policy makers.
Design/methodology/approach: A systematic literature review was conducted in the Scopus database searching from 1,528 studies published between 2015 and 2025. A total of 56 peer-reviewed articles were selected for systematic review after careful examination. The data for study was also visualized to reflect sources, co-authorship relations, and the connections of their keywords.
Findings: The research finds that psychological resilience in gig workers is a function of the right mixture of personal characteristics (such as optimism and good emotional control), how meaningful they find their work, and how strong their social support system is. Conversely, resilience is eroded by the problems of surveillance algorithms, precarious income, and social isolation. Effective answers include transparent control of algorithms, built-in well-being resources in apps, digital peer support groups, and portable benefits. There are still research gaps, especially concerning longitudinal data, representation from the Global South and larger-scale interventions.
Practical Implications
HR professionals and platform managers can enhance resilience by introducing mental health resources, promoting peer support and positively acknowledging gig workers’ contributions. Policymakers should focus on legal status, data rights and social protection to make gig work a viable choice.
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.