Abstract: This study examines the dynamic relationship among Gross Domestic Product (GDP), unemployment, and government expenditure in Bangladesh from 2010 to 2025. The analysis highlights a period of robust economic performance, with GDP growth consistently averaging above 6%, driven primarily by manufacturing, garment exports, and the service sector. Despite the significant disruption caused by the COVID-19 pandemic in 2020, which saw growth dip to 3.45%, the economy demonstrated structural resilience and a rapid recovery.
Concurrently, government expenditure has expanded significantly as a fiscal tool for development, particularly through large-scale infrastructure projects and social safety nets. Public spending rose from BDT 1,217 billion in 2016 to over BDT 2,218 billion by 2025. However, this expansionary stance has not fully addressed labor market inefficiencies. Unemployment has remained relatively stable between 3% and 5%, suggesting that the link between GDP growth and job creation is weak, thereby offering only limited support for Okun’s Law in the Bangladeshi context. The study identifies persistent structural challenges, including high youth unemployment and skill mismatches, and concludes that inclusive growth policies and labor market reforms are essential to translate macroeconomic gains into sustainable employment generation.
Abstract: Generation Y, commonly identified as Millennials, comprises individuals born between 1981 and 1996. Characterized by profound digital immersion and technological proficiency, this cohort has been significantly influenced by the pervasive expansion of social media. Consequently, social media advertising has emerged as a formidable catalyst in shaping their purchase intentions, consumption patterns, and brand preferences. The present study investigates the multifaceted influence of social media advertising on the buying behaviour of Generation Y consumers within the contemporary digital marketplace.
The findings unequivocally demonstrate that social media advertising exerts a profound influence on the lifestyle orientations, consumption behaviour, and purchase decision-making processes of Generation Y consumers. The ubiquitous proliferation of digital platforms such as Instagram, Facebook, YouTube, WhatsApp, and X (formerly Twitter) has fundamentally reconfigured the dynamics of consumer–brand interaction. By facilitating instantaneous access to comprehensive product information, authentic consumer reviews, algorithmically curated recommendations, and influencer-generated endorsements, social media advertising substantially shapes consumer perceptions, reinforces purchase intentions, and cultivates enduring brand predispositions within the contemporary digital ecosystem.
The study further highlights that Generation Y consumers actively engage with digital content and rely heavily on online reviews and peer recommendations before making purchases. Businesses and marketers can therefore better understand consumer expectations and design effective advertising strategies to attract and retain this segment. The research concludes that social media advertising has become an essential marketing tool influencing Generation Y’s buying behaviour in the modern digital economy.
Abstract: Rajasthan, India’s largest state by area, has historically been a major source of internal and international migration due to Agro-Climatic vulnerability, water scarcity and limited industrialization. This study evaluated the data of Census 2011.Periodic Laborer Force Survey (PLFS), 2022-23 and primary survey data from some districts and examines spatial patterns, drivers, and economic impacts of migration. Results show three dominant streams: rural-urban intra state to Jaipur-Kota, rural-rural to Punjab-Haryana-Gujrat for agriculture and construction, and rural metro cities for textiles and services. Remittances constitute 7.8% of Rajasthan’s GSDP reaching 18.2% in Barmer and 14.6% in Sikar. Districts level regression indicates that 1% rise in out migration increases per capita income by Rs 1840 but reduces food grain yield by 0.6% due to laborer loss. Migration reduces poverty by 4.2% in high out migration districts but creates skill deficit, elderly care burden, and agricultural fallow. The study concludes that migration is both a coping mechanism and a development lever, requiring a migration sensitive policy integrating skill hubs, portability of welfare and remittance investment channels.
Abstract: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.
Abstract: This research report examines innovative business models in energy finance as a service (EFaaS) and leasing mechanisms within the Mexican energy sector. As México transitions toward renewable energy and sustainable development goals, novel financing structures have emerged to overcome traditional barriers to energy infrastructure investment. Results demonstrate that energy leasing and service-based models have achieved significant market traction, particularly in commercial solar photovoltaic installations and energy efficiency projects. Findings reveal that successful models incorporate flexible payment structures, comprehensive maintenance services, and performance guarantees that align incentives between service providers and clients. The discussion addresses regulatory enablers, financing innovations, and technology integration strategies that facilitate model adoption. The report concludes that EFaaS and leasing models represent transformative mechanisms for accelerating Mexico's energy transition, with implications for policy development, financial sector engagement, and sustainable infrastructure deployment.
Abstract: Artificial Intelligence (AI) has emerged as a transformative force that is redefining the way organizations approach digital transformation. By enabling intelligent automation, advanced data analysis, predictive decision-making, and personalized customer experiences, AI has become a key driver of innovation and organizational competitiveness. Despite its growing adoption, organizations continue to face several challenges, including ethical concerns, data privacy issues, cybersecurity risks, workforce adaptation, and implementation costs. This study examines the role of Artificial Intelligence in digital transformation by synthesizing evidence from recent academic literature, industry reports, and credible institutional publications. The paper adopts a qualitative approach based on secondary sources to explore how AI contributes to organizational transformation across different sectors. The analysis highlights that successful digital transformation depends not only on technological adoption but also on organizational readiness, effective leadership, employee capabilities, and responsible governance. The study further discusses the opportunities created by AI, the barriers affecting its implementation, and the future directions that can support sustainable digital transformation. The findings provide valuable insights for researchers, business leaders, and policymakers seeking to understand the evolving relationship between Artificial Intelligence and digital transformation in the modern business environment.