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Title: Best Practices in Microcredit Governance: Lessons from Bangladesh

Abstract: The performance of two prominent microcredit providers—Grameen Bank and BRAC NGO—is examined in this paper, with particular attention paid to their different organizational structures and governance frameworks. As a borrower-owned cooperative, Grameen Bank promotes member involvement in decision-making, which, through group lending, encourages ownership and peer support but may also lead to social pressure. BRAC NGO, on the other hand, employs a centralized governance model and offers a thorough approach to micro credit that is in line with its larger social development initiatives. Although this strategy provides comprehensive assistance, it may not be as flexible to meet the needs of each borrower. Although borrower choices and economic conditions have an impact on their effectiveness, both groups aim to increase loan attachment and reduce poverty. While BRAC depends on a combination of donor money and revenue-generating operations, Grameen Bank places a higher priority on self-sufficiency. The impact and sustainability of microcredit systems might be improved by fusing the advantages of both models—BRAC's integrated approach and Grameen Bank's borrower ownership.

By Tahmina Akhter, Shanzida Hassan
In Volume: 14,Issue: 1
Title: Electric Mobility Integration in Indian Urban Planning: Challenges, Opportunities, and Policy Implications

Abstract: India’s urban transport system is facing unprecedented challenges due to rapid population growth, vehicular congestion, and escalating pollution levels. Against this backdrop, the transition toward electric mobility (e-mobility) offers a promising pathway for sustainable urban development. This study investigates the extent to which electric mobility is being integrated into urban planning in Indian cities. It explores critical challenges such as inadequate charging infrastructure, limited policy coordination, and citizen hesitancy. Drawing upon both primary data collected through surveys in five urban centres—and secondary sources from government and institutional reports, the research applies statistical methods, including factor analysis and regression modelling, to examine the drivers of electric vehicle (EV) adoption. The findings reveal that infrastructure readiness and public policy awareness are strong predictors of urban EV acceptance. The study concludes by offering practical policy recommendations, such as zoning reforms and enhanced fiscal incentives, aimed at creating EV-supportive urban environments aligned with national climate goals.

By Shantam Babbar, Rajesh Kumar Raju, Monika Kumari
In Volume: 14,Issue: 1
Title: A Critical Review on Financial, Developmental and Supervisory Role of NABARD: With Special Reference to Functions of its Management Bodies

Abstract: National Bank for Agriculture and Rural Development (NABARD) formed in 1982 on 12th July is India's leading agricultural finance and rural development institution. This paper critically examines NABARD's development, financing, and supervisory roles with particular reference to the operations of its organizational hierarchies. NABARD performs as a support system for rural banking organizations' refinancing, financial inclusion, financing infrastructure operations, and promoting capacity-building schemes such as Self-Help Groups (SHGs), Farmer Producer Organizations (FPOs), and Primary Agricultural Credit Societies (PACS). Its departments such as Financial Inclusion and Development, Infrastructure and Development, and Supervision allow NABARD to support rural credit infrastructure and policy adherence. This paper assesses the performance of NABARD in rural development, climate resilient farming, and inclusive growth. Imbalanced credit flow to regions, over-reliance on government support, weak digital connectivity, and congruence of youth training skills remain issues despite these advancements. Despite these issues, NABARD remains a powerful instrument of sustainable rural development and farm advancement in India. This paper thus concludes the relevance of policy reforms, technology adoption, and greater autonomy to improve NABARD's long-term performance.

By Saumya Rai, Dinesh Kumar Tiwari
In Volume: 14,Issue: 1
Title: Gender Dimension and Safety Issue of Female Workforce of the Garment Industries in Bangladesh

Abstract: Bangladesh is one of the most prominent developing country in the world, the RMG sector is one of the prime earning sources of Bangladesh. Now Bangladesh is listed one of the gigantic garment exporters of the world. The garment industry is around Eighty four percent of total exports zone of Bangladesh. In Bangladesh more than four million people are worked in this garments industry. Around eighty percent (that is, 3.2 million workers) of the garment workers are female in Bangladesh. According to Bangladesh Garment Manufacturers and Exporters Association (BGMEA), the female garments workers are victim of high prevalence of violence and injustice in the work place. The violence and injustice the female garments workers are faced are adversely affect their physical and mental state. This research paper discusses the complication of gender dimension, fitness, well being and protection matters and hurdle of female garment workers of Bangladesh. Here the author used regression analysis, chi-square test, pearson R test, independent T test in order to explain the factors affect safety issue of female garments workers and the injustice towards them.

By Samira- Binte- Saif
In Volume: 14,Issue: 1
Title: Artificial Intelligence and Employment Shifts in India’s E-Commerce Sector: A Sectoral Post-Covid Analysis

Abstract: The COVID-19 pandemic accelerated digital adoption across sectors, rapidly restructuring Indian e-commerce. AI is a critical enabler of operational efficiency-from planning supply chains to automating customer support. The study attempts to understand post-COVID transformations in AI-related employment trends in various e-commerce subsectors in India. While AI threatens entry-level, routine applications, it creates a demand for professional jobs further involving AI development, data science, and digital operations. The study, thus, employs mixed methods, using secondary data sets and qualitative case studies, to comprehend the sectoral landscape of AI impacts on employment. It attempts to understand the potentials and challenges of AI, drawing on assessment of its socio-economic impact so as to arrive at recommendations on reskilling policies and inclusive employment strategies.

By S.K.S. Yadav, Samreen Khan
In Volume: 14,Issue: 1

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