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: This study investigates the perceived barriers hindering the adoption of green products within the educational ecosystem of Meerut, India, specifically adopting an institutional perspective. Recognizing educational institutions as crucial agents for promoting sustainability, the research aims to identify the structural, procedural, and normative impediments faced by schools, colleges, and universities in transitioning towards environmentally preferable goods and services. Utilizing a qualitative approach, data was gathered from secondary sources, through online mode and focus group discussions with key institutional stakeholders, including administrators, and faculty members in Meerut. The analysis reveals a complex interplay of perceived barriers operating at multiple institutional levels. Key impediments identified include: 1) Economic Constraints: Predominant concerns regarding the higher initial costs, green products and stringent, inflexible budgetary allocations; 2) Structural & Procedural Hurdles: Lack of clear institutional green procurement policies, cumbersome bureaucratic approval processes, and limited access to reliable suppliers/vendors offering certified green alternatives; 3) Behavioral & Awareness Factors: Insufficient institutional commitment and leadership prioritization, resistance to changing established procurement habits, and a lack of awareness or training among institution stakeholders regarding the benefits and availability of green options. The findings emphasize that overcoming these barriers requires targeted intervention sat the institutional level, including the formulation of supportive green procurement policies, dedicated budgetary provisions, streamlined processes, capacity building, and fostering a stronger organizational culture of sustainability.
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: 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: 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.