The purpose of this study is twofold: First, it tests the role of students’ environmental awareness and climate change awareness in their environmental protective behavior and environment quality (EQ). Second, it tests the mediating role of environmental protective behaviors in the association between environment behavior, climate change behavior, and environment quality. Moreover, this study utilizes climate-friendly behaviors and pro-environmental behaviors to reflect environmental protective behaviors. The stratified random sampling technique was applied to collect data through a questionnaire from a sample of 403 graduate students enrolled in Higher Education Commission-recognized private and public universities of Pakistan. This study applied partial least squares structural equation modeling (PLS-SEM) to empirically estimate the results. This study found that climate change awareness significantly and positively affects climate-friendly behavior, environmental quality, and pro-environmental behavior. Similarly, environmental awareness significantly and positively affects environmental quality and pro-environmental behavior. Moreover, pro-environmental behavior significantly affects environmental quality. Indirect results indicate that pro-environmental behavior significantly mediates between climate change awareness and environmental quality, and between environmental awareness and environmental quality. The findings of this study suggest the importance of enhancing awareness of climate- and climate change-related issues among students to save the environment. Higher education institutions should design subjects and courses that will raise environmental and climate change awareness, and expose students to climate- and environment-friendly education.

The aim of this study is threefold; first, the study investigates the symmetric impact of trade openness, financial development, and institutional quality on environmental degradation and environmental sustainability. Second, the study examines the asymmetric relationship between financial development, institutional quality, and environmental degradation. Third, the study examines the asymmetric relationship between financial development, institutional quality, and environmental sustainability. For this purpose, the study utilized the data of Pakistan from 1996 to 2018. The study applied Augmented Dickey–Fuller (ADF), Phillips Parron (PP) and Zivote, and Andrews unit root test to check the properties of stationarity of the data. This study applied the Auto Regressive Distributive Lags (ARDL) model to investigate symmetric relationships while the Non-Linear Auto Regressive Distributive Lag Model (NARDL) approach is utilized to investigate the asymmetric relationship among variables. ARDL bounds testing approach utilized to investigate long-run co-integration while short-run dynamics have been investigated by applying the error correction method (ECM). This study found the significant long-run symmetric and asymmetric association of institutional quality (IQ) and financial development (FD) with environmental degradation (ED) and environmental sustainability. However, IQ- has an insignificant association with environmental sustainability. Moreover, dynamic multiplier analysis indicates that positive shock to FD and IQ has a stronger impact on environmental degradation while a positive or negative shock to FD; both have a stronger impact on environmental sustainability. However, a positive or negative shock to IQ has a smaller impact on environmental sustainability. Moreover, the study also found a significant long-run symmetric association of trade openness with environmental degradation and environmental sustainability. This study suggests that the quality of institutions, financial development, and trade openness is necessary to enhance the quality of the environment.

To examine the impact of population growth, urbanization and water availability on food insecurity, this study utilized time series data for the period of 1990–2019, from World Development Indicators (WDI), Food and Agriculture Organization (FAO), and World Bank. The study applied an Auto-regressive distributive lag (ARDL) co-integration approach to test the hypothesized relationships among modeled variables. The study found a negative and significant association of water resources and agriculture research with food insecurity while urbanization and population growth has a significant and positive impact on food insecurity in the short-run as well as in the long-run period. Moreover, the study found that political stability has a negative and significant association with food insecurity in the short-run and long-run periods. Results also indicated that political stability significantly strengthens the relationship of water resources, and agriculture research with food insecurity while political stability weakens the relationship of urbanization and food insecurity significantly.