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Title: Study on Investment Pattern of Salaried Class People with Special Reference to Dehradun City

Abstract: Investment patterns among salaried individuals are influenced by various factors, including income levels, financial awareness, risk appetite, and socio-economic conditions. This study aims to analyze the investment preferences of salaried professionals in Dehradun, focusing on their choice of financial instruments such as fixed deposits, mutual funds, stocks, insurance, and real estate. The research examines the factors affecting investment decisions, including risk tolerance, savings behavior, tax benefits, and long-term financial goals. A structured survey was conducted among salaried individuals from diverse professional backgrounds to gather primary data. The findings reveal a preference for low-risk investment options, with a significant inclination toward fixed deposits and insurance, while younger investors show a growing interest in mutual funds and equity markets. The study also highlights the role of financial literacy in shaping investment behavior. The insights from this research can help financial institutions, policymakers, and advisors tailor investment solutions that align with the financial goals of salaried individuals in Dehradun. Additionally, the study underscores the need for enhanced financial education programs to encourage informed investment decisions.

By Pankaj Kumar, Subhash Chandra
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
Title: The Impact of Pawnbroking on Local Communities with special reference to Bangladesh

Abstract: This study examines pawnbroking's impact on social entrepreneurship and its implications for social development. It posits that Pawnbroking aids vulnerable entrepreneurs, often excluded from formal credit, in accessing quick financial resources, thereby enhancing social entrepreneurship. Through a meta-analysis and literature review, including three case studies from Bangladesh, the findings indicate that, despite exploitative practices, pawnshops are vital for providing the impoverished with financial access and supporting social welfare. However, risks such as asset loss, debt cycles, and exploitation of desperate borrowers are also highlighted. The study emphasizes the need for regulatory oversight and more accessible financial systems that protect borrowers while maintaining accessibility. Overall, pawnbroking offers both advantages and challenges for local communities in Bangladesh, necessitating a balance between quick cash access and consumer protections to promote healthier community dynamics.

By José G. Vargas-Hernández, Amina Khatun, Csongor Czipf, Absalón J. Salmerón-Zapata
In Volume: 14,Issue: 1
Title: A Study on the Trend Analysis of India’s Trade Relations with SAFTA Nations: A Review

Abstract: Countries participating in a regional trading arrangement (RTA) are typically heterogeneous, as evidenced by their variations in geographic size, population, gross national product (GNP), economic systems—reflected in the various types of commodities and services manufactured when traded — and the policy instruments employed through monetary, financial, and trade-related measures that affect national production and trade activities. The diverse attributes of the South Asian Free Trade Area (SAFTA) members significantly impact their benefits from a Regional Trade Agreement (RTA). The South Asian nations within the SAFTA distinctly illustrate their intrinsic disparities while also highlighting an unsettling situation about the inequitable distribution of prospective benefits from through regional collaboration initiative. Although the members of SAFTA members have low-income and the nations are developing, among these —Bhutan, Bangladesh, Nepal and Maldives, —are classified as least developed countries (LDCs) due to many significant challenges that impede their business expansion and development. Thus, the extent to which these issues may impact the SAFTA agreement and the measures India must implement is a crucial inquiry, which serves as the primary purpose of this article. This research also considers the influence among the SAARC members. Analysis of data from several pertinent sources covering the period from 2016-17 to 2022-23 reveals that commerce among SAFTA members has not expanded as considerably as anticipated. The statistical analysis conducted validates the suspicions of numerous scholars, indicating that the SAFTA countries are not genuine trading partners; instead, they frequently compete by exporting identical product categories. Given that this context renders significant growth in mutual trade improbable, the paper finishes with views on enhancing India's regional commerce.

By Manish Upretya, Pankaj Kumar Shah
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: 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

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