Objectives. The 5G has ushered in a new age of life-changing breakthroughs and advancements due to faster speeds, greater bandwidth, and ultra-high expectancy. The study proposes a multistage approach for quantifying the dynamic factors affecting users adoption of 5G in emerging countries. Method. This study integrated the technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) to recommend a comprehensive model that the industryacademia can adopt. In the proposed model, various core hypotheses and subhypotheses were tested by employing 510 5G users of the metro cities of India. An online questionnaire was used to collect the facts, and the data were framed in the conceptual model to test the validation using partial least squares structural equation modeling (PLS-SEM). Results. The findings suggest that users perceptions of adopting 5G are overwhelming in that perceived trust was discovered as a mediating enabler between behavioral intention (BI) and selected manifest. Performance expectancy (PE), effort expectancy (EE), social factors (SF), facilitating factors (FF), hedonic motivation (HM), perceived benefits (PB), price value (PV), and habit (HB). Contribution. By identifying key enablers in the suggested model, service providers may better evaluate these aspects, particularly in ensuring reliable infrastructure for 5G service stands. The study is undoubtedly a novel attempt to assist the telecom industry and policymakers in accelerating the adoption of 5G in emerging economies of Asian continents.

The jeopardizing of ecological security due to the detrimental effects of human activities necessitates the adoption of various actions to reduce ecological intensity. Though some studies have explored the moderating impact of financial development (FND) towards achieving ecological security, in Arab World it has not been thoroughly investigated. Against this backdrop, we investigate combined role of agricultural production (AFP), gross domestic product (GDP), energy consumption, population, direct and moderating impacts of FND on ecological intensity for a panel of 12 Arab League member states from 1995 to 2021. The empirical outcomes unveiled that AFP and GDP have U-shaped nexus with ecological intensity. It posits that at early stages of AFP, ecological intensity is reduced to a certain level, beyond which higher AFPhinders ecological security supporting the evidence against the Borlaug hypothesis. Our findings further unfolded that environmental Kuznets curve (EKC) hypothesis does not hold for the selected Arab League member states, denoting that real GDP has a U-shaped relationship with ecological intensity. Further findings confirm that energy consumption induces ecological deterioration in the absence of its interaction with FND, along with the interaction term. The causality results largely support these outcomes. Based on these findings, Arab League's climate-related policies should further explore FND to drive energy transition and environmentally friendly measures.

The United Nation’s sustainable development goals (UN-SDGs) like accessibility to renewable energies (SDG-7), sustainable production and consumption (SDG-12), as well as stable economic growth all centre on the notion of human development (HDI) and reflected in (SDG-8). In line with this motivation, this study explores the environmental sustainability targets for a panel of South Asian economies that are disproportionately affected by a huge energy deficit i.e., energy poverty, and technological immobility. This study considers evidence from south Asian nations to provide the role of certain indicators of human development in the wake of economic development and environmental quality objectives by unraveling the complex relationships between per capita income, access to technological innovation, access to clean energy, and urbanization. Employing a balanced panel econometric model, this study investigate the hypothesized nexus between specific macro-economic variables among South Asian economies. The empirical evidence indicates that the human development index (HDI), per capita income, accessibility to clean energy, technological innovation, as well as urbanization all exhibits a long-run equilibrium relationship over the study period. However, income per capita, accessibility to clean energy and technological innovation all exert a positive impact on HDI for the selected countries, while urbanization shows a negative impact on HDI. Furthermore, causality relationship shows a feedback causality relationship between income per capita, access to clean energy and urbanization with the human development variable, while access to technological innovation has a one-way causality with the HDI. This current study importantly extends the extant knowledge, by presenting new insights into the interaction between human development and its antecedents from a whole new contextual perspective. These outcomes will assist policymakers and stakeholders to obtain new insights into the crucial role of clean energy accessibility, technological innovation, income per capita, and urbanization on HDI processes among South Asian countries.