RESUMEN
Primary and secondary school quality indicators need to be defined, assessed, and monitored due to their incomparable contributions to the entire educational process as well as for the overall development of a country. However, previous studies rarely emphasized indicators that have a substantial impact on school quality, especially in the context of developing countries. Bangladesh is one of them where this has yet to be adequately studied. To bridge this gap, this study aimed to explore the key "driver" constructs of primary and secondary level school quality. Adopting a quantitative cross-sectional research design, the present study was conducted between April 2021 to January 2022 at 128 primary and secondary level schools in 38 different districts of Bangladesh. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Empirical findings revealed that teacher quality (ß = 0.588, t = 12.242, p < 0.001), technology (ß = 0.279, t = 5.402, p < 0.001), school leadership (ß = 0.132, t = 2.383, p < 0.05) have positive influence on students' academic achievement which ultimately affects (ß = 0.923, t = 92.713, p < 0.001) the overall quality of the school. While school environment does not significantly influence students' academic achievement or school quality. The overall findings of this study are expected to assist the devolved authorities in implementing synchronized policies for the improvement of primary and secondary level school quality.
RESUMEN
Agricultural sector accelerates a nation's economic growth towards sustainable development. There exists a significant relationship between agriculture and the environment. Sustainable agricultural development ensures food quality and in tandem prevents natural calamities like drought. However, in order to fulfill the food demand of a growing population, poor law quality and untenable agriculture practices arise, which in turn lead to environmental degradation. The current study explores the relationship between the agro-economic atmosphere and CO2 emissions as a measure of environmental degradation in Bangladesh between the years of 1985 and 2017. To exhibit the long-run relationship of agricultural ecology and carbon dioxide emissions, three cointegrated equations- Fully-modified ordinary least square (FMOLS), Dynamic ordinary least square (DOLS), and Canonical cointegrated regression (CCR) were assessed. For cointegration, Bayer-Hanck cointegration was implied. In long-run estimates, it was found that livestock, rice area harvested, cereal production, and other crop production impeded environmental dilapidation. The Granger Causality Test enabled unidirectional causality towards burned biomass (crop residues), the agricultural economy, and carbon emissions. Therefore, this dimension's causality concluded that carbon dioxide emissions were caused by cereal production, other agricultural production, and agricultural land production. The overall findings of this study could potentially assist the Government of Bangladesh and the necessary authorities for implementing synchronized policies to help reduce environmental pollution and set an example for other developing nations like Bangladesh.