Educational empowerment: evolution, innovations and challenges of educational financing in commercial banks

AbstractThis study critically examines the transformative landscape of higher education financing in India, focusing on the shift from traditional government funding to an increased reliance on educational loans provided by commercial banks. The paper employs a detailed methodological approach, utilizing secondary data sources to analyze various aspects of educational financing. The research is structured around key areas: the growth and status of higher education in India, the Gross Enrolment Ratio (GER) trends, patterns in the financing of higher education, and the performance of educational loan schemes under public sector banks. The study examines trends in aggregate public expenditure on education as a percentage of GDP and total expenditure, as well as the streamwise and bankwise distribution of educational loans. It also scrutinizes the growth and performance of educational loan schemes, evaluating the overall effectiveness and challenges within this financing model. The analysis reveals a significant increase in higher education institutions and enrolment rates, accompanied by a shift in funding sources from predominantly government-led to more diversified, including a substantial rise in educational loans. The paper highlights the challenges faced by commercial banks in managing these loans, including issues related to the distribution and repayment of educational loans. The study concludes with insights into the implications of these trends for educational policy, emphasizing the need for a balanced approach in financing higher education that considers affordability and accessibility while ensuring quality and equity

The Dynamic Impact of Financial Technology and Energy Consumption on Environmental Sustainability

This research investigates the dynamic interplay between financial technology, information and communication technology, energy consumption, and economic growth on environmental sustainability within Emerging and Growth-Leading Economies (EAGLEs) from 2005 to 2020. Utilizing advanced econometric techniques, such as Fully Modified Least Squares (FMOLS) and Vector Autoregressive Error Correction Model (VECM), the investigation scrutinizes the hypothesized relationships among these variables. Panel unit root tests were deployed to assess stationarity, while panel least squares methodology was employed to determine the presence of co-integration among the variables under study. The analysis reveals that internet usage, GDP, and renewable energy consumption exhibit a notable influence in diminishing CO2 emissions within EAGLE economies. Additionally, the findings substantiate the existence of long-term causality originating from these variables and impacting CO2 emissions. Conversely, the role of ATM networks in CO2 emissions remains ambiguous, implying that financial technology’s influence on environmental sustainability is inconclusive. Consequently, the research posits that environmental sustainability in EAGLE economies is chiefly determined by factors such as internet usage, economic expansion, and renewable energy consumption, with financial technology demonstrating no discernable impact. In light of these findings, the study advocates for the reevaluation and adaptation of existing policies and strategies to account for shifting climatic conditions. By doing so, decision-makers can better align their efforts with the pursuit of environmental sustainability in the context of rapidly evolving economies

The dynamic impact of non-renewable and renewable energy on carbon dioxide emissions and ecological footprint in Indonesia

Abstract The global trend of environmental degradation, marked by escalating carbon dioxide (CO2) emissions and expanding ecological footprints, poses a significant risk to the planet and leads to global warming. This decline in the environment is primarily attributed to the extensive use of non-renewable energy sources and substantial economic activities. This study investigates the dynamic impact of non-renewable energy (coal, gas, and oil), renewable energy, economic growth, and capital formation on CO2 emissions and the ecological footprint in Indonesia spanning from 1965–2022. Employing Fully Modified Ordinary Least Squares (FMOLS), Ordinary Least Squares (DOLS), and a robustness test with Canonical Cointegrating Regression (CCR) techniques, we seek to establish long-term associations among the studied variables. Preliminary findings, supported by our primary models, reveal that every increase in coal and gas directly results in higher CO2 emissions but does not affect ecological footprints. Conversely, every increase in oil affects the rise of ecological footprints but not CO2 emissions. Meanwhile, the rise in renewable energy will reduce both CO2 emissions and ecological footprints, consequently enhancing Indonesia's environmental quality. Furthermore, increasing economic growth will increase both CO2 emissions and ecological footprint, while the rise in capital formation reduces the ecological footprint. The Granger causality test showed unidirectional causality from CO2 emissions to renewable energy and also revealed bidirectional causality between ecological footprint and renewable energy. This study clarifies the patterns of energy emissions in Indonesia and provides policymakers with recommendations for maintaining environmental sustainability, including investing in renewable energy use and transitioning away from non-renewable energy, given the pressing climate challenges and the goal of achieving carbon neutrality