The analysis aims to examine the impact of eco-innovation and financial efficiency on CO2 emissions and renewable energy consumption in highly polluted Asian economies, including China, India, Russia, and Japan. For empirical analysis, we have applied the ARDL pooled mean group (ARDL-PMG) model. The long-run estimated coefficient of environmental innovations is positively significant in both renewable energy models and negatively significant in the CO2 emissions model. These results imply that environmental innovations help facilitate renewable energy consumption and reduce CO2 emissions. On the other side, the estimates of financial development are insignificant in both renewable energy and CO2 emissions models. However, the estimates of financial institution efficiency and financial markets are positively significant in both renewable energy and CO2 emissions models, implying that financial institutions and market efficiency increase renewable energy consumption and decrease CO2 emissions.

Numerous studies have addressed the different context of mHealth services among diverse user groups. But due to a lack of understanding the insight of factors affecting the mHealth adoption, it’s crucial need to conduct a systematic review on this issue. The objective of this study was to synthesize the present understanding of the influential factors of mHealth adoption. We performed a systematic literature search on eight electronically reputed scientific databases from 2010 to March 2019, such as Science Direct, Springer, IEEE Xplore, JMIR, Taylor & Francis, Emerald, Mary Ann Liebert and Google Scholar. This was accomplished by gathering data including authors, countries, years, target population, sample size, models/theories, and key influential factors. Primarily, a total of 2969 potentially relatable papers were found, of which 50 met the inclusion criteria. It was found that cross-sectional approach, survey methods and structural equation modeling (SEM) were the most explored research methodologies whereas PLS-SEM was found to be the largest used analysis tools. From the analysis, a total of ninety-four influential factors were clearly recognized and the findings represent that the following 15 factors appeared most recurrently and significantly; perceived usefulness, perceived ease of use, social-influence, subjective norms, self-efficacy, trust, facilitating conditions, technology anxiety, performance expectancy, effort expectancy, cost, attitude, resistance to change, perceived privacy and security, and perceived behavioral control. The research results have significant theoretical and practical implications for mHealth services providers, researchers and policy makers with regards to the Sustainable Development Goals (SDGs) allied to healthcare.

The aim of the study is to evaluating critical success factors for adoption decision of e-Learning facilities in Bangladesh. This research proposed the DEMATEL approach to evaluate possible critical success factors (CSFs) influencing organizational decision to adopt e-learning facilities in the level of primary education system (PES). A quantitative survey method was performed through the structured questionnaire. The questionnaire involved pairwise comparison of elements on a five-point scale ranging from 0 to 4 respectively (0 = No influence, 1 = Low influence, 2 = Medium influence 3 = High influence 4 = Very High influence). The survey questionnaire was distributed to 14 (n=14) experts of educational department for obtaining their judgment. MATLAB-2019 a, SPSS-23 and MS Excel were used to analyze the data. The result of this study revealed that the expert’s member is more concerned about human and technology related dimensions that are substantially higher than those of other dimensions with influence value of prominence and relation (r±c) 0.5602, and 1.5690 respectively. This study proposed an approach for the strategic planning of e-learning facilities within the primary education system based on effective group decision making from the perspective of human, technology, organization, and environmental dimensions’ processes. However, the government should allocate enough budget to ensure quality education based on the core dimensions of HTOE model. The authors recommended to the policy makers to incorporate e-learning facilities in the primary education institutes based on the principles of e-learning systems under the access to information (A2I) national project.

Coronavirus disease 2019 (COVID-19) has been holding back the developments of the world and forcing humanity to a burdened edge. Within this unprecedented health emergency, the education sector has been facing one of the most unpredicted challenges. This paper aims to analyze the consequences of the COVID-19 pandemic on zero access to technology users in the primary education level of Bangladesh. This study employs an in-depth interview with 48 students, 12 teachers, and 15 parents at Tala Upazila under Satkhira district. The study's findings reveal that in primary education level, students who have zero access to technologies have been suffering significantly during the COVID-19 pandemic. As they have limited scope to study at home, many are about to leave school permanently to support their parents’ earnings while facing financial insolvency. In this regard, this research can help the education authorities and policymakers facilitate this segment's learning process in such a disruption and minimize school dropouts at their very early stage of education.

In Modern era, the Researchers are keenly interested in different areas of green financing projects such as green economics, green trade, green sustainable development activities, green climatic and environment quests, green investment and financial ventures, and green public policy-related topics, respectively. Owing to the lower cost of production for sustainable development, a healthy climate, and a neat environment is needed, this study is structured to build the significant relationship between various green sustainable development projects, the financial effectiveness and performance of PSX and NYSX, respectively. For this purpose, the time series data for 2000–2020 are collected from IFS, WBI, SBP, the Federal Reserve system, S&DP, and the UNDP financial reports. The empirical analysis reveals the insignificant effects of green investment, financial projects, public policies, and social green projects on the financial performance of PSX, whereas the empirical modeling also attests that all the green factors significantly affect the performance of NYSX except the green economic and trading projects and renewable energy green projects, which are insignificant predictors with respect to FIP-NYSX. Moreover, the index for human development insignificantly affects the prediction of FIP-NYSX. The mixed empirical results guide policymakers, the board of PSX and NYSX, and the management of green financing companies to reconsider their policies and objectives with respect to successful green operations and the financial performance of PSX and NYSX.